Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Rekognition

Contents

Service Configuration
Errors
Waiters
- ProjectVersionRunning
- ProjectVersionTrainingCompleted
Operations
Types

Description

Derived from API version 2016-06-27 of the AWS service descriptions, licensed under Apache 2.0.

This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.

Amazon Rekognition Image

Amazon Rekognition Custom Labels

Amazon Rekognition Video Stored Video

Amazon Rekognition Video Streaming Video

Synopsis

defaultService :: Service
_AccessDeniedException :: AsError a => Fold a ServiceError
_HumanLoopQuotaExceededException :: AsError a => Fold a ServiceError
_IdempotentParameterMismatchException :: AsError a => Fold a ServiceError
_ImageTooLargeException :: AsError a => Fold a ServiceError
_InternalServerError :: AsError a => Fold a ServiceError
_InvalidImageFormatException :: AsError a => Fold a ServiceError
_InvalidPaginationTokenException :: AsError a => Fold a ServiceError
_InvalidParameterException :: AsError a => Fold a ServiceError
_InvalidPolicyRevisionIdException :: AsError a => Fold a ServiceError
_InvalidS3ObjectException :: AsError a => Fold a ServiceError
_LimitExceededException :: AsError a => Fold a ServiceError
_MalformedPolicyDocumentException :: AsError a => Fold a ServiceError
_ProvisionedThroughputExceededException :: AsError a => Fold a ServiceError
_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError
_ResourceInUseException :: AsError a => Fold a ServiceError
_ResourceNotFoundException :: AsError a => Fold a ServiceError
_ResourceNotReadyException :: AsError a => Fold a ServiceError
_ServiceQuotaExceededException :: AsError a => Fold a ServiceError
_ThrottlingException :: AsError a => Fold a ServiceError
_VideoTooLargeException :: AsError a => Fold a ServiceError
newProjectVersionRunning :: Wait DescribeProjectVersions
newProjectVersionTrainingCompleted :: Wait DescribeProjectVersions
data CompareFaces = CompareFaces' (Maybe QualityFilter) (Maybe Double) Image Image
newCompareFaces :: Image -> Image -> CompareFaces
data CompareFacesResponse = CompareFacesResponse' (Maybe [CompareFacesMatch]) (Maybe ComparedSourceImageFace) (Maybe OrientationCorrection) (Maybe OrientationCorrection) (Maybe [ComparedFace]) Int
newCompareFacesResponse :: Int -> CompareFacesResponse
data CopyProjectVersion = CopyProjectVersion' (Maybe Text) (Maybe (HashMap Text Text)) Text Text Text Text OutputConfig
newCopyProjectVersion :: Text -> Text -> Text -> Text -> OutputConfig -> CopyProjectVersion
data CopyProjectVersionResponse = CopyProjectVersionResponse' (Maybe Text) Int
newCopyProjectVersionResponse :: Int -> CopyProjectVersionResponse
data CreateCollection = CreateCollection' (Maybe (HashMap Text Text)) Text
newCreateCollection :: Text -> CreateCollection
data CreateCollectionResponse = CreateCollectionResponse' (Maybe Text) (Maybe Text) (Maybe Natural) Int
newCreateCollectionResponse :: Int -> CreateCollectionResponse
data CreateDataset = CreateDataset' (Maybe DatasetSource) DatasetType Text
newCreateDataset :: DatasetType -> Text -> CreateDataset
data CreateDatasetResponse = CreateDatasetResponse' (Maybe Text) Int
newCreateDatasetResponse :: Int -> CreateDatasetResponse
data CreateProject = CreateProject' Text
newCreateProject :: Text -> CreateProject
data CreateProjectResponse = CreateProjectResponse' (Maybe Text) Int
newCreateProjectResponse :: Int -> CreateProjectResponse
data CreateProjectVersion = CreateProjectVersion' (Maybe Text) (Maybe (HashMap Text Text)) (Maybe TestingData) (Maybe TrainingData) Text Text OutputConfig
newCreateProjectVersion :: Text -> Text -> OutputConfig -> CreateProjectVersion
data CreateProjectVersionResponse = CreateProjectVersionResponse' (Maybe Text) Int
newCreateProjectVersionResponse :: Int -> CreateProjectVersionResponse
data CreateStreamProcessor = CreateStreamProcessor' (Maybe StreamProcessorDataSharingPreference) (Maybe Text) (Maybe StreamProcessorNotificationChannel) (Maybe [RegionOfInterest]) (Maybe (HashMap Text Text)) StreamProcessorInput StreamProcessorOutput Text StreamProcessorSettings Text
newCreateStreamProcessor :: StreamProcessorInput -> StreamProcessorOutput -> Text -> StreamProcessorSettings -> Text -> CreateStreamProcessor
data CreateStreamProcessorResponse = CreateStreamProcessorResponse' (Maybe Text) Int
newCreateStreamProcessorResponse :: Int -> CreateStreamProcessorResponse
data DeleteCollection = DeleteCollection' Text
newDeleteCollection :: Text -> DeleteCollection
data DeleteCollectionResponse = DeleteCollectionResponse' (Maybe Natural) Int
newDeleteCollectionResponse :: Int -> DeleteCollectionResponse
data DeleteDataset = DeleteDataset' Text
newDeleteDataset :: Text -> DeleteDataset
data DeleteDatasetResponse = DeleteDatasetResponse' Int
newDeleteDatasetResponse :: Int -> DeleteDatasetResponse
data DeleteFaces = DeleteFaces' Text (NonEmpty Text)
newDeleteFaces :: Text -> NonEmpty Text -> DeleteFaces
data DeleteFacesResponse = DeleteFacesResponse' (Maybe (NonEmpty Text)) Int
newDeleteFacesResponse :: Int -> DeleteFacesResponse
data DeleteProject = DeleteProject' Text
newDeleteProject :: Text -> DeleteProject
data DeleteProjectResponse = DeleteProjectResponse' (Maybe ProjectStatus) Int
newDeleteProjectResponse :: Int -> DeleteProjectResponse
data DeleteProjectPolicy = DeleteProjectPolicy' (Maybe Text) Text Text
newDeleteProjectPolicy :: Text -> Text -> DeleteProjectPolicy
data DeleteProjectPolicyResponse = DeleteProjectPolicyResponse' Int
newDeleteProjectPolicyResponse :: Int -> DeleteProjectPolicyResponse
data DeleteProjectVersion = DeleteProjectVersion' Text
newDeleteProjectVersion :: Text -> DeleteProjectVersion
data DeleteProjectVersionResponse = DeleteProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newDeleteProjectVersionResponse :: Int -> DeleteProjectVersionResponse
data DeleteStreamProcessor = DeleteStreamProcessor' Text
newDeleteStreamProcessor :: Text -> DeleteStreamProcessor
data DeleteStreamProcessorResponse = DeleteStreamProcessorResponse' Int
newDeleteStreamProcessorResponse :: Int -> DeleteStreamProcessorResponse
data DescribeCollection = DescribeCollection' Text
newDescribeCollection :: Text -> DescribeCollection
data DescribeCollectionResponse = DescribeCollectionResponse' (Maybe Text) (Maybe POSIX) (Maybe Natural) (Maybe Text) Int
newDescribeCollectionResponse :: Int -> DescribeCollectionResponse
data DescribeDataset = DescribeDataset' Text
newDescribeDataset :: Text -> DescribeDataset
data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe DatasetDescription) Int
newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
data DescribeProjectVersions = DescribeProjectVersions' (Maybe Natural) (Maybe Text) (Maybe (NonEmpty Text)) Text
newDescribeProjectVersions :: Text -> DescribeProjectVersions
data DescribeProjectVersionsResponse = DescribeProjectVersionsResponse' (Maybe Text) (Maybe [ProjectVersionDescription]) Int
newDescribeProjectVersionsResponse :: Int -> DescribeProjectVersionsResponse
data DescribeProjects = DescribeProjects' (Maybe Natural) (Maybe Text) (Maybe (NonEmpty Text))
newDescribeProjects :: DescribeProjects
data DescribeProjectsResponse = DescribeProjectsResponse' (Maybe Text) (Maybe [ProjectDescription]) Int
newDescribeProjectsResponse :: Int -> DescribeProjectsResponse
data DescribeStreamProcessor = DescribeStreamProcessor' Text
newDescribeStreamProcessor :: Text -> DescribeStreamProcessor
data DescribeStreamProcessorResponse = DescribeStreamProcessorResponse' (Maybe POSIX) (Maybe StreamProcessorDataSharingPreference) (Maybe StreamProcessorInput) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe StreamProcessorNotificationChannel) (Maybe StreamProcessorOutput) (Maybe [RegionOfInterest]) (Maybe Text) (Maybe StreamProcessorSettings) (Maybe StreamProcessorStatus) (Maybe Text) (Maybe Text) Int
newDescribeStreamProcessorResponse :: Int -> DescribeStreamProcessorResponse
data DetectCustomLabels = DetectCustomLabels' (Maybe Natural) (Maybe Double) Text Image
newDetectCustomLabels :: Text -> Image -> DetectCustomLabels
data DetectCustomLabelsResponse = DetectCustomLabelsResponse' (Maybe [CustomLabel]) Int
newDetectCustomLabelsResponse :: Int -> DetectCustomLabelsResponse
data DetectFaces = DetectFaces' (Maybe [Attribute]) Image
newDetectFaces :: Image -> DetectFaces
data DetectFacesResponse = DetectFacesResponse' (Maybe [FaceDetail]) (Maybe OrientationCorrection) Int
newDetectFacesResponse :: Int -> DetectFacesResponse
data DetectLabels = DetectLabels' (Maybe [DetectLabelsFeatureName]) (Maybe Natural) (Maybe Double) (Maybe DetectLabelsSettings) Image
newDetectLabels :: Image -> DetectLabels
data DetectLabelsResponse = DetectLabelsResponse' (Maybe DetectLabelsImageProperties) (Maybe Text) (Maybe [Label]) (Maybe OrientationCorrection) Int
newDetectLabelsResponse :: Int -> DetectLabelsResponse
data DetectModerationLabels = DetectModerationLabels' (Maybe HumanLoopConfig) (Maybe Double) Image
newDetectModerationLabels :: Image -> DetectModerationLabels
data DetectModerationLabelsResponse = DetectModerationLabelsResponse' (Maybe HumanLoopActivationOutput) (Maybe [ModerationLabel]) (Maybe Text) Int
newDetectModerationLabelsResponse :: Int -> DetectModerationLabelsResponse
data DetectProtectiveEquipment = DetectProtectiveEquipment' (Maybe ProtectiveEquipmentSummarizationAttributes) Image
newDetectProtectiveEquipment :: Image -> DetectProtectiveEquipment
data DetectProtectiveEquipmentResponse = DetectProtectiveEquipmentResponse' (Maybe [ProtectiveEquipmentPerson]) (Maybe Text) (Maybe ProtectiveEquipmentSummary) Int
newDetectProtectiveEquipmentResponse :: Int -> DetectProtectiveEquipmentResponse
data DetectText = DetectText' (Maybe DetectTextFilters) Image
newDetectText :: Image -> DetectText
data DetectTextResponse = DetectTextResponse' (Maybe [TextDetection]) (Maybe Text) Int
newDetectTextResponse :: Int -> DetectTextResponse
data DistributeDatasetEntries = DistributeDatasetEntries' (NonEmpty DistributeDataset)
newDistributeDatasetEntries :: NonEmpty DistributeDataset -> DistributeDatasetEntries
data DistributeDatasetEntriesResponse = DistributeDatasetEntriesResponse' Int
newDistributeDatasetEntriesResponse :: Int -> DistributeDatasetEntriesResponse
data GetCelebrityInfo = GetCelebrityInfo' Text
newGetCelebrityInfo :: Text -> GetCelebrityInfo
data GetCelebrityInfoResponse = GetCelebrityInfoResponse' (Maybe KnownGender) (Maybe Text) (Maybe [Text]) Int
newGetCelebrityInfoResponse :: Int -> GetCelebrityInfoResponse
data GetCelebrityRecognition = GetCelebrityRecognition' (Maybe Natural) (Maybe Text) (Maybe CelebrityRecognitionSortBy) Text
newGetCelebrityRecognition :: Text -> GetCelebrityRecognition
data GetCelebrityRecognitionResponse = GetCelebrityRecognitionResponse' (Maybe [CelebrityRecognition]) (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int
newGetCelebrityRecognitionResponse :: Int -> GetCelebrityRecognitionResponse
data GetContentModeration = GetContentModeration' (Maybe Natural) (Maybe Text) (Maybe ContentModerationSortBy) Text
newGetContentModeration :: Text -> GetContentModeration
data GetContentModerationResponse = GetContentModerationResponse' (Maybe VideoJobStatus) (Maybe [ContentModerationDetection]) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int
newGetContentModerationResponse :: Int -> GetContentModerationResponse
data GetFaceDetection = GetFaceDetection' (Maybe Natural) (Maybe Text) Text
newGetFaceDetection :: Text -> GetFaceDetection
data GetFaceDetectionResponse = GetFaceDetectionResponse' (Maybe [FaceDetection]) (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int
newGetFaceDetectionResponse :: Int -> GetFaceDetectionResponse
data GetFaceSearch = GetFaceSearch' (Maybe Natural) (Maybe Text) (Maybe FaceSearchSortBy) Text
newGetFaceSearch :: Text -> GetFaceSearch
data GetFaceSearchResponse = GetFaceSearchResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [PersonMatch]) (Maybe Text) (Maybe VideoMetadata) Int
newGetFaceSearchResponse :: Int -> GetFaceSearchResponse
data GetLabelDetection = GetLabelDetection' (Maybe LabelDetectionAggregateBy) (Maybe Natural) (Maybe Text) (Maybe LabelDetectionSortBy) Text
newGetLabelDetection :: Text -> GetLabelDetection
data GetLabelDetectionResponse = GetLabelDetectionResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [LabelDetection]) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int
newGetLabelDetectionResponse :: Int -> GetLabelDetectionResponse
data GetPersonTracking = GetPersonTracking' (Maybe Natural) (Maybe Text) (Maybe PersonTrackingSortBy) Text
newGetPersonTracking :: Text -> GetPersonTracking
data GetPersonTrackingResponse = GetPersonTrackingResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [PersonDetection]) (Maybe Text) (Maybe VideoMetadata) Int
newGetPersonTrackingResponse :: Int -> GetPersonTrackingResponse
data GetSegmentDetection = GetSegmentDetection' (Maybe Natural) (Maybe Text) Text
newGetSegmentDetection :: Text -> GetSegmentDetection
data GetSegmentDetectionResponse = GetSegmentDetectionResponse' (Maybe [AudioMetadata]) (Maybe VideoJobStatus) (Maybe Text) (Maybe [SegmentDetection]) (Maybe [SegmentTypeInfo]) (Maybe Text) (Maybe [VideoMetadata]) Int
newGetSegmentDetectionResponse :: Int -> GetSegmentDetectionResponse
data GetTextDetection = GetTextDetection' (Maybe Natural) (Maybe Text) Text
newGetTextDetection :: Text -> GetTextDetection
data GetTextDetectionResponse = GetTextDetectionResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe [TextDetectionResult]) (Maybe Text) (Maybe VideoMetadata) Int
newGetTextDetectionResponse :: Int -> GetTextDetectionResponse
data IndexFaces = IndexFaces' (Maybe [Attribute]) (Maybe Text) (Maybe Natural) (Maybe QualityFilter) Text Image
newIndexFaces :: Text -> Image -> IndexFaces
data IndexFacesResponse = IndexFacesResponse' (Maybe Text) (Maybe [FaceRecord]) (Maybe OrientationCorrection) (Maybe [UnindexedFace]) Int
newIndexFacesResponse :: Int -> IndexFacesResponse
data ListCollections = ListCollections' (Maybe Natural) (Maybe Text)
newListCollections :: ListCollections
data ListCollectionsResponse = ListCollectionsResponse' (Maybe [Text]) (Maybe [Text]) (Maybe Text) Int
newListCollectionsResponse :: Int -> ListCollectionsResponse
data ListDatasetEntries = ListDatasetEntries' (Maybe (NonEmpty Text)) (Maybe Bool) (Maybe Bool) (Maybe Natural) (Maybe Text) (Maybe Text) Text
newListDatasetEntries :: Text -> ListDatasetEntries
data ListDatasetEntriesResponse = ListDatasetEntriesResponse' (Maybe [Text]) (Maybe Text) Int
newListDatasetEntriesResponse :: Int -> ListDatasetEntriesResponse
data ListDatasetLabels = ListDatasetLabels' (Maybe Natural) (Maybe Text) Text
newListDatasetLabels :: Text -> ListDatasetLabels
data ListDatasetLabelsResponse = ListDatasetLabelsResponse' (Maybe [DatasetLabelDescription]) (Maybe Text) Int
newListDatasetLabelsResponse :: Int -> ListDatasetLabelsResponse
data ListFaces = ListFaces' (Maybe Natural) (Maybe Text) Text
newListFaces :: Text -> ListFaces
data ListFacesResponse = ListFacesResponse' (Maybe Text) (Maybe [Face]) (Maybe Text) Int
newListFacesResponse :: Int -> ListFacesResponse
data ListProjectPolicies = ListProjectPolicies' (Maybe Natural) (Maybe Text) Text
newListProjectPolicies :: Text -> ListProjectPolicies
data ListProjectPoliciesResponse = ListProjectPoliciesResponse' (Maybe Text) (Maybe [ProjectPolicy]) Int
newListProjectPoliciesResponse :: Int -> ListProjectPoliciesResponse
data ListStreamProcessors = ListStreamProcessors' (Maybe Natural) (Maybe Text)
newListStreamProcessors :: ListStreamProcessors
data ListStreamProcessorsResponse = ListStreamProcessorsResponse' (Maybe Text) (Maybe [StreamProcessor]) Int
newListStreamProcessorsResponse :: Int -> ListStreamProcessorsResponse
data ListTagsForResource = ListTagsForResource' Text
newListTagsForResource :: Text -> ListTagsForResource
data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe (HashMap Text Text)) Int
newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
data PutProjectPolicy = PutProjectPolicy' (Maybe Text) Text Text Text
newPutProjectPolicy :: Text -> Text -> Text -> PutProjectPolicy
data PutProjectPolicyResponse = PutProjectPolicyResponse' (Maybe Text) Int
newPutProjectPolicyResponse :: Int -> PutProjectPolicyResponse
data RecognizeCelebrities = RecognizeCelebrities' Image
newRecognizeCelebrities :: Image -> RecognizeCelebrities
data RecognizeCelebritiesResponse = RecognizeCelebritiesResponse' (Maybe [Celebrity]) (Maybe OrientationCorrection) (Maybe [ComparedFace]) Int
newRecognizeCelebritiesResponse :: Int -> RecognizeCelebritiesResponse
data SearchFaces = SearchFaces' (Maybe Double) (Maybe Natural) Text Text
newSearchFaces :: Text -> Text -> SearchFaces
data SearchFacesResponse = SearchFacesResponse' (Maybe [FaceMatch]) (Maybe Text) (Maybe Text) Int
newSearchFacesResponse :: Int -> SearchFacesResponse
data SearchFacesByImage = SearchFacesByImage' (Maybe Double) (Maybe Natural) (Maybe QualityFilter) Text Image
newSearchFacesByImage :: Text -> Image -> SearchFacesByImage
data SearchFacesByImageResponse = SearchFacesByImageResponse' (Maybe [FaceMatch]) (Maybe Text) (Maybe BoundingBox) (Maybe Double) Int
newSearchFacesByImageResponse :: Int -> SearchFacesByImageResponse
data StartCelebrityRecognition = StartCelebrityRecognition' (Maybe Text) (Maybe Text) (Maybe NotificationChannel) Video
newStartCelebrityRecognition :: Video -> StartCelebrityRecognition
data StartCelebrityRecognitionResponse = StartCelebrityRecognitionResponse' (Maybe Text) Int
newStartCelebrityRecognitionResponse :: Int -> StartCelebrityRecognitionResponse
data StartContentModeration = StartContentModeration' (Maybe Text) (Maybe Text) (Maybe Double) (Maybe NotificationChannel) Video
newStartContentModeration :: Video -> StartContentModeration
data StartContentModerationResponse = StartContentModerationResponse' (Maybe Text) Int
newStartContentModerationResponse :: Int -> StartContentModerationResponse
data StartFaceDetection = StartFaceDetection' (Maybe Text) (Maybe FaceAttributes) (Maybe Text) (Maybe NotificationChannel) Video
newStartFaceDetection :: Video -> StartFaceDetection
data StartFaceDetectionResponse = StartFaceDetectionResponse' (Maybe Text) Int
newStartFaceDetectionResponse :: Int -> StartFaceDetectionResponse
data StartFaceSearch = StartFaceSearch' (Maybe Text) (Maybe Double) (Maybe Text) (Maybe NotificationChannel) Video Text
newStartFaceSearch :: Video -> Text -> StartFaceSearch
data StartFaceSearchResponse = StartFaceSearchResponse' (Maybe Text) Int
newStartFaceSearchResponse :: Int -> StartFaceSearchResponse
data StartLabelDetection = StartLabelDetection' (Maybe Text) (Maybe [LabelDetectionFeatureName]) (Maybe Text) (Maybe Double) (Maybe NotificationChannel) (Maybe LabelDetectionSettings) Video
newStartLabelDetection :: Video -> StartLabelDetection
data StartLabelDetectionResponse = StartLabelDetectionResponse' (Maybe Text) Int
newStartLabelDetectionResponse :: Int -> StartLabelDetectionResponse
data StartPersonTracking = StartPersonTracking' (Maybe Text) (Maybe Text) (Maybe NotificationChannel) Video
newStartPersonTracking :: Video -> StartPersonTracking
data StartPersonTrackingResponse = StartPersonTrackingResponse' (Maybe Text) Int
newStartPersonTrackingResponse :: Int -> StartPersonTrackingResponse
data StartProjectVersion = StartProjectVersion' (Maybe Natural) Text Natural
newStartProjectVersion :: Text -> Natural -> StartProjectVersion
data StartProjectVersionResponse = StartProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newStartProjectVersionResponse :: Int -> StartProjectVersionResponse
data StartSegmentDetection = StartSegmentDetection' (Maybe Text) (Maybe StartSegmentDetectionFilters) (Maybe Text) (Maybe NotificationChannel) Video (NonEmpty SegmentType)
newStartSegmentDetection :: Video -> NonEmpty SegmentType -> StartSegmentDetection
data StartSegmentDetectionResponse = StartSegmentDetectionResponse' (Maybe Text) Int
newStartSegmentDetectionResponse :: Int -> StartSegmentDetectionResponse
data StartStreamProcessor = StartStreamProcessor' (Maybe StreamProcessingStartSelector) (Maybe StreamProcessingStopSelector) Text
newStartStreamProcessor :: Text -> StartStreamProcessor
data StartStreamProcessorResponse = StartStreamProcessorResponse' (Maybe Text) Int
newStartStreamProcessorResponse :: Int -> StartStreamProcessorResponse
data StartTextDetection = StartTextDetection' (Maybe Text) (Maybe StartTextDetectionFilters) (Maybe Text) (Maybe NotificationChannel) Video
newStartTextDetection :: Video -> StartTextDetection
data StartTextDetectionResponse = StartTextDetectionResponse' (Maybe Text) Int
newStartTextDetectionResponse :: Int -> StartTextDetectionResponse
data StopProjectVersion = StopProjectVersion' Text
newStopProjectVersion :: Text -> StopProjectVersion
data StopProjectVersionResponse = StopProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newStopProjectVersionResponse :: Int -> StopProjectVersionResponse
data StopStreamProcessor = StopStreamProcessor' Text
newStopStreamProcessor :: Text -> StopStreamProcessor
data StopStreamProcessorResponse = StopStreamProcessorResponse' Int
newStopStreamProcessorResponse :: Int -> StopStreamProcessorResponse
data TagResource = TagResource' Text (HashMap Text Text)
newTagResource :: Text -> TagResource
data TagResourceResponse = TagResourceResponse' Int
newTagResourceResponse :: Int -> TagResourceResponse
data UntagResource = UntagResource' Text [Text]
newUntagResource :: Text -> UntagResource
data UntagResourceResponse = UntagResourceResponse' Int
newUntagResourceResponse :: Int -> UntagResourceResponse
data UpdateDatasetEntries = UpdateDatasetEntries' Text DatasetChanges
newUpdateDatasetEntries :: Text -> DatasetChanges -> UpdateDatasetEntries
data UpdateDatasetEntriesResponse = UpdateDatasetEntriesResponse' Int
newUpdateDatasetEntriesResponse :: Int -> UpdateDatasetEntriesResponse
data UpdateStreamProcessor = UpdateStreamProcessor' (Maybe StreamProcessorDataSharingPreference) (Maybe [StreamProcessorParameterToDelete]) (Maybe [RegionOfInterest]) (Maybe StreamProcessorSettingsForUpdate) Text
newUpdateStreamProcessor :: Text -> UpdateStreamProcessor
data UpdateStreamProcessorResponse = UpdateStreamProcessorResponse' Int
newUpdateStreamProcessorResponse :: Int -> UpdateStreamProcessorResponse
newtype Attribute where
- Attribute' {
  - fromAttribute :: Text
  }
- pattern Attribute_ALL :: Attribute
- pattern Attribute_DEFAULT :: Attribute
newtype BodyPart where
- BodyPart' {
  - fromBodyPart :: Text
  }
- pattern BodyPart_FACE :: BodyPart
- pattern BodyPart_HEAD :: BodyPart
- pattern BodyPart_LEFT_HAND :: BodyPart
- pattern BodyPart_RIGHT_HAND :: BodyPart
newtype CelebrityRecognitionSortBy where
- CelebrityRecognitionSortBy' {
  - fromCelebrityRecognitionSortBy :: Text
  }
- pattern CelebrityRecognitionSortBy_ID :: CelebrityRecognitionSortBy
- pattern CelebrityRecognitionSortBy_TIMESTAMP :: CelebrityRecognitionSortBy
newtype ContentClassifier where
- ContentClassifier' {
  - fromContentClassifier :: Text
  }
- pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
- pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier
newtype ContentModerationSortBy where
- ContentModerationSortBy' {
  - fromContentModerationSortBy :: Text
  }
- pattern ContentModerationSortBy_NAME :: ContentModerationSortBy
- pattern ContentModerationSortBy_TIMESTAMP :: ContentModerationSortBy
newtype DatasetStatus where
- DatasetStatus' {
  - fromDatasetStatus :: Text
  }
- pattern DatasetStatus_CREATE_COMPLETE :: DatasetStatus
- pattern DatasetStatus_CREATE_FAILED :: DatasetStatus
- pattern DatasetStatus_CREATE_IN_PROGRESS :: DatasetStatus
- pattern DatasetStatus_DELETE_IN_PROGRESS :: DatasetStatus
- pattern DatasetStatus_UPDATE_COMPLETE :: DatasetStatus
- pattern DatasetStatus_UPDATE_FAILED :: DatasetStatus
- pattern DatasetStatus_UPDATE_IN_PROGRESS :: DatasetStatus
newtype DatasetStatusMessageCode where
- DatasetStatusMessageCode' {
  - fromDatasetStatusMessageCode :: Text
  }
- pattern DatasetStatusMessageCode_CLIENT_ERROR :: DatasetStatusMessageCode
- pattern DatasetStatusMessageCode_SERVICE_ERROR :: DatasetStatusMessageCode
- pattern DatasetStatusMessageCode_SUCCESS :: DatasetStatusMessageCode
newtype DatasetType where
- DatasetType' {
  - fromDatasetType :: Text
  }
- pattern DatasetType_TEST :: DatasetType
- pattern DatasetType_TRAIN :: DatasetType
newtype DetectLabelsFeatureName where
- DetectLabelsFeatureName' {
  - fromDetectLabelsFeatureName :: Text
  }
- pattern DetectLabelsFeatureName_GENERAL_LABELS :: DetectLabelsFeatureName
- pattern DetectLabelsFeatureName_IMAGE_PROPERTIES :: DetectLabelsFeatureName
newtype EmotionName where
- EmotionName' {
  - fromEmotionName :: Text
  }
- pattern EmotionName_ANGRY :: EmotionName
- pattern EmotionName_CALM :: EmotionName
- pattern EmotionName_CONFUSED :: EmotionName
- pattern EmotionName_DISGUSTED :: EmotionName
- pattern EmotionName_FEAR :: EmotionName
- pattern EmotionName_HAPPY :: EmotionName
- pattern EmotionName_SAD :: EmotionName
- pattern EmotionName_SURPRISED :: EmotionName
- pattern EmotionName_UNKNOWN :: EmotionName
newtype FaceAttributes where
- FaceAttributes' {
  - fromFaceAttributes :: Text
  }
- pattern FaceAttributes_ALL :: FaceAttributes
- pattern FaceAttributes_DEFAULT :: FaceAttributes
newtype FaceSearchSortBy where
- FaceSearchSortBy' {
  - fromFaceSearchSortBy :: Text
  }
- pattern FaceSearchSortBy_INDEX :: FaceSearchSortBy
- pattern FaceSearchSortBy_TIMESTAMP :: FaceSearchSortBy
newtype GenderType where
- GenderType' {
  - fromGenderType :: Text
  }
- pattern GenderType_Female :: GenderType
- pattern GenderType_Male :: GenderType
newtype KnownGenderType where
- KnownGenderType' {
  - fromKnownGenderType :: Text
  }
- pattern KnownGenderType_Female :: KnownGenderType
- pattern KnownGenderType_Male :: KnownGenderType
- pattern KnownGenderType_Nonbinary :: KnownGenderType
- pattern KnownGenderType_Unlisted :: KnownGenderType
newtype LabelDetectionAggregateBy where
- LabelDetectionAggregateBy' {
  - fromLabelDetectionAggregateBy :: Text
  }
- pattern LabelDetectionAggregateBy_SEGMENTS :: LabelDetectionAggregateBy
- pattern LabelDetectionAggregateBy_TIMESTAMPS :: LabelDetectionAggregateBy
newtype LabelDetectionFeatureName where
- LabelDetectionFeatureName' {
  - fromLabelDetectionFeatureName :: Text
  }
- pattern LabelDetectionFeatureName_GENERAL_LABELS :: LabelDetectionFeatureName
newtype LabelDetectionSortBy where
- LabelDetectionSortBy' {
  - fromLabelDetectionSortBy :: Text
  }
- pattern LabelDetectionSortBy_NAME :: LabelDetectionSortBy
- pattern LabelDetectionSortBy_TIMESTAMP :: LabelDetectionSortBy
newtype LandmarkType where
- LandmarkType' {
  - fromLandmarkType :: Text
  }
- pattern LandmarkType_ChinBottom :: LandmarkType
- pattern LandmarkType_EyeLeft :: LandmarkType
- pattern LandmarkType_EyeRight :: LandmarkType
- pattern LandmarkType_LeftEyeBrowLeft :: LandmarkType
- pattern LandmarkType_LeftEyeBrowRight :: LandmarkType
- pattern LandmarkType_LeftEyeBrowUp :: LandmarkType
- pattern LandmarkType_LeftEyeDown :: LandmarkType
- pattern LandmarkType_LeftEyeLeft :: LandmarkType
- pattern LandmarkType_LeftEyeRight :: LandmarkType
- pattern LandmarkType_LeftEyeUp :: LandmarkType
- pattern LandmarkType_LeftPupil :: LandmarkType
- pattern LandmarkType_MidJawlineLeft :: LandmarkType
- pattern LandmarkType_MidJawlineRight :: LandmarkType
- pattern LandmarkType_MouthDown :: LandmarkType
- pattern LandmarkType_MouthLeft :: LandmarkType
- pattern LandmarkType_MouthRight :: LandmarkType
- pattern LandmarkType_MouthUp :: LandmarkType
- pattern LandmarkType_Nose :: LandmarkType
- pattern LandmarkType_NoseLeft :: LandmarkType
- pattern LandmarkType_NoseRight :: LandmarkType
- pattern LandmarkType_RightEyeBrowLeft :: LandmarkType
- pattern LandmarkType_RightEyeBrowRight :: LandmarkType
- pattern LandmarkType_RightEyeBrowUp :: LandmarkType
- pattern LandmarkType_RightEyeDown :: LandmarkType
- pattern LandmarkType_RightEyeLeft :: LandmarkType
- pattern LandmarkType_RightEyeRight :: LandmarkType
- pattern LandmarkType_RightEyeUp :: LandmarkType
- pattern LandmarkType_RightPupil :: LandmarkType
- pattern LandmarkType_UpperJawlineLeft :: LandmarkType
- pattern LandmarkType_UpperJawlineRight :: LandmarkType
newtype OrientationCorrection where
- OrientationCorrection' {
  - fromOrientationCorrection :: Text
  }
- pattern OrientationCorrection_ROTATE_0 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_180 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_270 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_90 :: OrientationCorrection
newtype PersonTrackingSortBy where
- PersonTrackingSortBy' {
  - fromPersonTrackingSortBy :: Text
  }
- pattern PersonTrackingSortBy_INDEX :: PersonTrackingSortBy
- pattern PersonTrackingSortBy_TIMESTAMP :: PersonTrackingSortBy
newtype ProjectStatus where
- ProjectStatus' {
  - fromProjectStatus :: Text
  }
- pattern ProjectStatus_CREATED :: ProjectStatus
- pattern ProjectStatus_CREATING :: ProjectStatus
- pattern ProjectStatus_DELETING :: ProjectStatus
newtype ProjectVersionStatus where
- ProjectVersionStatus' {
  - fromProjectVersionStatus :: Text
  }
- pattern ProjectVersionStatus_COPYING_COMPLETED :: ProjectVersionStatus
- pattern ProjectVersionStatus_COPYING_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_COPYING_IN_PROGRESS :: ProjectVersionStatus
- pattern ProjectVersionStatus_DELETING :: ProjectVersionStatus
- pattern ProjectVersionStatus_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_RUNNING :: ProjectVersionStatus
- pattern ProjectVersionStatus_STARTING :: ProjectVersionStatus
- pattern ProjectVersionStatus_STOPPED :: ProjectVersionStatus
- pattern ProjectVersionStatus_STOPPING :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_COMPLETED :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_IN_PROGRESS :: ProjectVersionStatus
newtype ProtectiveEquipmentType where
- ProtectiveEquipmentType' {
  - fromProtectiveEquipmentType :: Text
  }
- pattern ProtectiveEquipmentType_FACE_COVER :: ProtectiveEquipmentType
- pattern ProtectiveEquipmentType_HAND_COVER :: ProtectiveEquipmentType
- pattern ProtectiveEquipmentType_HEAD_COVER :: ProtectiveEquipmentType
newtype QualityFilter where
- QualityFilter' {
  - fromQualityFilter :: Text
  }
- pattern QualityFilter_AUTO :: QualityFilter
- pattern QualityFilter_HIGH :: QualityFilter
- pattern QualityFilter_LOW :: QualityFilter
- pattern QualityFilter_MEDIUM :: QualityFilter
- pattern QualityFilter_NONE :: QualityFilter
newtype Reason where
- Reason' {
  - fromReason :: Text
  }
- pattern Reason_EXCEEDS_MAX_FACES :: Reason
- pattern Reason_EXTREME_POSE :: Reason
- pattern Reason_LOW_BRIGHTNESS :: Reason
- pattern Reason_LOW_CONFIDENCE :: Reason
- pattern Reason_LOW_FACE_QUALITY :: Reason
- pattern Reason_LOW_SHARPNESS :: Reason
- pattern Reason_SMALL_BOUNDING_BOX :: Reason
newtype SegmentType where
- SegmentType' {
  - fromSegmentType :: Text
  }
- pattern SegmentType_SHOT :: SegmentType
- pattern SegmentType_TECHNICAL_CUE :: SegmentType
newtype StreamProcessorParameterToDelete where
- StreamProcessorParameterToDelete' {
  - fromStreamProcessorParameterToDelete :: Text
  }
- pattern StreamProcessorParameterToDelete_ConnectedHomeMinConfidence :: StreamProcessorParameterToDelete
- pattern StreamProcessorParameterToDelete_RegionsOfInterest :: StreamProcessorParameterToDelete
newtype StreamProcessorStatus where
- StreamProcessorStatus' {
  - fromStreamProcessorStatus :: Text
  }
- pattern StreamProcessorStatus_FAILED :: StreamProcessorStatus
- pattern StreamProcessorStatus_RUNNING :: StreamProcessorStatus
- pattern StreamProcessorStatus_STARTING :: StreamProcessorStatus
- pattern StreamProcessorStatus_STOPPED :: StreamProcessorStatus
- pattern StreamProcessorStatus_STOPPING :: StreamProcessorStatus
- pattern StreamProcessorStatus_UPDATING :: StreamProcessorStatus
newtype TechnicalCueType where
- TechnicalCueType' {
  - fromTechnicalCueType :: Text
  }
- pattern TechnicalCueType_BlackFrames :: TechnicalCueType
- pattern TechnicalCueType_ColorBars :: TechnicalCueType
- pattern TechnicalCueType_Content :: TechnicalCueType
- pattern TechnicalCueType_EndCredits :: TechnicalCueType
- pattern TechnicalCueType_OpeningCredits :: TechnicalCueType
- pattern TechnicalCueType_Slate :: TechnicalCueType
- pattern TechnicalCueType_StudioLogo :: TechnicalCueType
newtype TextTypes where
- TextTypes' {
  - fromTextTypes :: Text
  }
- pattern TextTypes_LINE :: TextTypes
- pattern TextTypes_WORD :: TextTypes
newtype VideoColorRange where
- VideoColorRange' {
  - fromVideoColorRange :: Text
  }
- pattern VideoColorRange_FULL :: VideoColorRange
- pattern VideoColorRange_LIMITED :: VideoColorRange
newtype VideoJobStatus where
- VideoJobStatus' {
  - fromVideoJobStatus :: Text
  }
- pattern VideoJobStatus_FAILED :: VideoJobStatus
- pattern VideoJobStatus_IN_PROGRESS :: VideoJobStatus
- pattern VideoJobStatus_SUCCEEDED :: VideoJobStatus
data AgeRange = AgeRange' (Maybe Natural) (Maybe Natural)
newAgeRange :: AgeRange
data Asset = Asset' (Maybe GroundTruthManifest)
newAsset :: Asset
data AudioMetadata = AudioMetadata' (Maybe Text) (Maybe Natural) (Maybe Natural) (Maybe Natural)
newAudioMetadata :: AudioMetadata
data Beard = Beard' (Maybe Double) (Maybe Bool)
newBeard :: Beard
data BlackFrame = BlackFrame' (Maybe Double) (Maybe Double)
newBlackFrame :: BlackFrame
data BoundingBox = BoundingBox' (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Double)
newBoundingBox :: BoundingBox
data Celebrity = Celebrity' (Maybe ComparedFace) (Maybe Text) (Maybe KnownGender) (Maybe Double) (Maybe Text) (Maybe [Text])
newCelebrity :: Celebrity
data CelebrityDetail = CelebrityDetail' (Maybe BoundingBox) (Maybe Double) (Maybe FaceDetail) (Maybe Text) (Maybe KnownGender) (Maybe Text) (Maybe [Text])
newCelebrityDetail :: CelebrityDetail
data CelebrityRecognition = CelebrityRecognition' (Maybe CelebrityDetail) (Maybe Integer)
newCelebrityRecognition :: CelebrityRecognition
data CompareFacesMatch = CompareFacesMatch' (Maybe ComparedFace) (Maybe Double)
newCompareFacesMatch :: CompareFacesMatch
data ComparedFace = ComparedFace' (Maybe BoundingBox) (Maybe Double) (Maybe [Emotion]) (Maybe [Landmark]) (Maybe Pose) (Maybe ImageQuality) (Maybe Smile)
newComparedFace :: ComparedFace
data ComparedSourceImageFace = ComparedSourceImageFace' (Maybe BoundingBox) (Maybe Double)
newComparedSourceImageFace :: ComparedSourceImageFace
data ConnectedHomeSettings = ConnectedHomeSettings' (Maybe Double) (NonEmpty Text)
newConnectedHomeSettings :: NonEmpty Text -> ConnectedHomeSettings
data ConnectedHomeSettingsForUpdate = ConnectedHomeSettingsForUpdate' (Maybe (NonEmpty Text)) (Maybe Double)
newConnectedHomeSettingsForUpdate :: ConnectedHomeSettingsForUpdate
data ContentModerationDetection = ContentModerationDetection' (Maybe ModerationLabel) (Maybe Integer)
newContentModerationDetection :: ContentModerationDetection
data CoversBodyPart = CoversBodyPart' (Maybe Double) (Maybe Bool)
newCoversBodyPart :: CoversBodyPart
data CustomLabel = CustomLabel' (Maybe Double) (Maybe Geometry) (Maybe Text)
newCustomLabel :: CustomLabel
data DatasetChanges = DatasetChanges' Base64
newDatasetChanges :: ByteString -> DatasetChanges
data DatasetDescription = DatasetDescription' (Maybe POSIX) (Maybe DatasetStats) (Maybe POSIX) (Maybe DatasetStatus) (Maybe Text) (Maybe DatasetStatusMessageCode)
newDatasetDescription :: DatasetDescription
data DatasetLabelDescription = DatasetLabelDescription' (Maybe Text) (Maybe DatasetLabelStats)
newDatasetLabelDescription :: DatasetLabelDescription
data DatasetLabelStats = DatasetLabelStats' (Maybe Natural) (Maybe Natural)
newDatasetLabelStats :: DatasetLabelStats
data DatasetMetadata = DatasetMetadata' (Maybe POSIX) (Maybe Text) (Maybe DatasetType) (Maybe DatasetStatus) (Maybe Text) (Maybe DatasetStatusMessageCode)
newDatasetMetadata :: DatasetMetadata
data DatasetSource = DatasetSource' (Maybe Text) (Maybe GroundTruthManifest)
newDatasetSource :: DatasetSource
data DatasetStats = DatasetStats' (Maybe Natural) (Maybe Natural) (Maybe Natural) (Maybe Natural)
newDatasetStats :: DatasetStats
data DetectLabelsImageBackground = DetectLabelsImageBackground' (Maybe [DominantColor]) (Maybe DetectLabelsImageQuality)
newDetectLabelsImageBackground :: DetectLabelsImageBackground
data DetectLabelsImageForeground = DetectLabelsImageForeground' (Maybe [DominantColor]) (Maybe DetectLabelsImageQuality)
newDetectLabelsImageForeground :: DetectLabelsImageForeground
data DetectLabelsImageProperties = DetectLabelsImageProperties' (Maybe DetectLabelsImageBackground) (Maybe [DominantColor]) (Maybe DetectLabelsImageForeground) (Maybe DetectLabelsImageQuality)
newDetectLabelsImageProperties :: DetectLabelsImageProperties
data DetectLabelsImagePropertiesSettings = DetectLabelsImagePropertiesSettings' (Maybe Natural)
newDetectLabelsImagePropertiesSettings :: DetectLabelsImagePropertiesSettings
data DetectLabelsImageQuality = DetectLabelsImageQuality' (Maybe Double) (Maybe Double) (Maybe Double)
newDetectLabelsImageQuality :: DetectLabelsImageQuality
data DetectLabelsSettings = DetectLabelsSettings' (Maybe GeneralLabelsSettings) (Maybe DetectLabelsImagePropertiesSettings)
newDetectLabelsSettings :: DetectLabelsSettings
data DetectTextFilters = DetectTextFilters' (Maybe [RegionOfInterest]) (Maybe DetectionFilter)
newDetectTextFilters :: DetectTextFilters
data DetectionFilter = DetectionFilter' (Maybe Double) (Maybe Double) (Maybe Double)
newDetectionFilter :: DetectionFilter
data DistributeDataset = DistributeDataset' Text
newDistributeDataset :: Text -> DistributeDataset
data DominantColor = DominantColor' (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Double) (Maybe Natural) (Maybe Text)
newDominantColor :: DominantColor
data Emotion = Emotion' (Maybe Double) (Maybe EmotionName)
newEmotion :: Emotion
data EquipmentDetection = EquipmentDetection' (Maybe BoundingBox) (Maybe Double) (Maybe CoversBodyPart) (Maybe ProtectiveEquipmentType)
newEquipmentDetection :: EquipmentDetection
data EvaluationResult = EvaluationResult' (Maybe Double) (Maybe Summary)
newEvaluationResult :: EvaluationResult
data EyeOpen = EyeOpen' (Maybe Double) (Maybe Bool)
newEyeOpen :: EyeOpen
data Eyeglasses = Eyeglasses' (Maybe Double) (Maybe Bool)
newEyeglasses :: Eyeglasses
data Face = Face' (Maybe BoundingBox) (Maybe Double) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newFace :: Face
data FaceDetail = FaceDetail' (Maybe AgeRange) (Maybe Beard) (Maybe BoundingBox) (Maybe Double) (Maybe [Emotion]) (Maybe Eyeglasses) (Maybe EyeOpen) (Maybe Gender) (Maybe [Landmark]) (Maybe MouthOpen) (Maybe Mustache) (Maybe Pose) (Maybe ImageQuality) (Maybe Smile) (Maybe Sunglasses)
newFaceDetail :: FaceDetail
data FaceDetection = FaceDetection' (Maybe FaceDetail) (Maybe Integer)
newFaceDetection :: FaceDetection
data FaceMatch = FaceMatch' (Maybe Face) (Maybe Double)
newFaceMatch :: FaceMatch
data FaceRecord = FaceRecord' (Maybe Face) (Maybe FaceDetail)
newFaceRecord :: FaceRecord
data FaceSearchSettings = FaceSearchSettings' (Maybe Text) (Maybe Double)
newFaceSearchSettings :: FaceSearchSettings
data Gender = Gender' (Maybe Double) (Maybe GenderType)
newGender :: Gender
data GeneralLabelsSettings = GeneralLabelsSettings' (Maybe [Text]) (Maybe [Text]) (Maybe [Text]) (Maybe [Text])
newGeneralLabelsSettings :: GeneralLabelsSettings
data Geometry = Geometry' (Maybe BoundingBox) (Maybe [Point])
newGeometry :: Geometry
data GroundTruthManifest = GroundTruthManifest' (Maybe S3Object)
newGroundTruthManifest :: GroundTruthManifest
data HumanLoopActivationOutput = HumanLoopActivationOutput' (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text)
newHumanLoopActivationOutput :: HumanLoopActivationOutput
data HumanLoopConfig = HumanLoopConfig' (Maybe HumanLoopDataAttributes) Text Text
newHumanLoopConfig :: Text -> Text -> HumanLoopConfig
data HumanLoopDataAttributes = HumanLoopDataAttributes' (Maybe [ContentClassifier])
newHumanLoopDataAttributes :: HumanLoopDataAttributes
data Image = Image' (Maybe Base64) (Maybe S3Object)
newImage :: Image
data ImageQuality = ImageQuality' (Maybe Double) (Maybe Double)
newImageQuality :: ImageQuality
data Instance = Instance' (Maybe BoundingBox) (Maybe Double) (Maybe [DominantColor])
newInstance :: Instance
data KinesisDataStream = KinesisDataStream' (Maybe Text)
newKinesisDataStream :: KinesisDataStream
data KinesisVideoStream = KinesisVideoStream' (Maybe Text)
newKinesisVideoStream :: KinesisVideoStream
data KinesisVideoStreamStartSelector = KinesisVideoStreamStartSelector' (Maybe Text) (Maybe Natural)
newKinesisVideoStreamStartSelector :: KinesisVideoStreamStartSelector
data KnownGender = KnownGender' (Maybe KnownGenderType)
newKnownGender :: KnownGender
data Label = Label' (Maybe [LabelAlias]) (Maybe [LabelCategory]) (Maybe Double) (Maybe [Instance]) (Maybe Text) (Maybe [Parent])
newLabel :: Label
data LabelAlias = LabelAlias' (Maybe Text)
newLabelAlias :: LabelAlias
data LabelCategory = LabelCategory' (Maybe Text)
newLabelCategory :: LabelCategory
data LabelDetection = LabelDetection' (Maybe Natural) (Maybe Natural) (Maybe Label) (Maybe Natural) (Maybe Integer)
newLabelDetection :: LabelDetection
data LabelDetectionSettings = LabelDetectionSettings' (Maybe GeneralLabelsSettings)
newLabelDetectionSettings :: LabelDetectionSettings
data Landmark = Landmark' (Maybe LandmarkType) (Maybe Double) (Maybe Double)
newLandmark :: Landmark
data ModerationLabel = ModerationLabel' (Maybe Double) (Maybe Text) (Maybe Text)
newModerationLabel :: ModerationLabel
data MouthOpen = MouthOpen' (Maybe Double) (Maybe Bool)
newMouthOpen :: MouthOpen
data Mustache = Mustache' (Maybe Double) (Maybe Bool)
newMustache :: Mustache
data NotificationChannel = NotificationChannel' Text Text
newNotificationChannel :: Text -> Text -> NotificationChannel
data OutputConfig = OutputConfig' (Maybe Text) (Maybe Text)
newOutputConfig :: OutputConfig
data Parent = Parent' (Maybe Text)
newParent :: Parent
data PersonDetail = PersonDetail' (Maybe BoundingBox) (Maybe FaceDetail) (Maybe Integer)
newPersonDetail :: PersonDetail
data PersonDetection = PersonDetection' (Maybe PersonDetail) (Maybe Integer)
newPersonDetection :: PersonDetection
data PersonMatch = PersonMatch' (Maybe [FaceMatch]) (Maybe PersonDetail) (Maybe Integer)
newPersonMatch :: PersonMatch
data Point = Point' (Maybe Double) (Maybe Double)
newPoint :: Point
data Pose = Pose' (Maybe Double) (Maybe Double) (Maybe Double)
newPose :: Pose
data ProjectDescription = ProjectDescription' (Maybe POSIX) (Maybe [DatasetMetadata]) (Maybe Text) (Maybe ProjectStatus)
newProjectDescription :: ProjectDescription
data ProjectPolicy = ProjectPolicy' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
newProjectPolicy :: ProjectPolicy
data ProjectVersionDescription = ProjectVersionDescription' (Maybe Natural) (Maybe POSIX) (Maybe EvaluationResult) (Maybe Text) (Maybe GroundTruthManifest) (Maybe Natural) (Maybe Natural) (Maybe OutputConfig) (Maybe Text) (Maybe Text) (Maybe ProjectVersionStatus) (Maybe Text) (Maybe TestingDataResult) (Maybe TrainingDataResult) (Maybe POSIX)
newProjectVersionDescription :: ProjectVersionDescription
data ProtectiveEquipmentBodyPart = ProtectiveEquipmentBodyPart' (Maybe Double) (Maybe [EquipmentDetection]) (Maybe BodyPart)
newProtectiveEquipmentBodyPart :: ProtectiveEquipmentBodyPart
data ProtectiveEquipmentPerson = ProtectiveEquipmentPerson' (Maybe [ProtectiveEquipmentBodyPart]) (Maybe BoundingBox) (Maybe Double) (Maybe Natural)
newProtectiveEquipmentPerson :: ProtectiveEquipmentPerson
data ProtectiveEquipmentSummarizationAttributes = ProtectiveEquipmentSummarizationAttributes' Double [ProtectiveEquipmentType]
newProtectiveEquipmentSummarizationAttributes :: Double -> ProtectiveEquipmentSummarizationAttributes
data ProtectiveEquipmentSummary = ProtectiveEquipmentSummary' (Maybe [Natural]) (Maybe [Natural]) (Maybe [Natural])
newProtectiveEquipmentSummary :: ProtectiveEquipmentSummary
data RegionOfInterest = RegionOfInterest' (Maybe BoundingBox) (Maybe [Point])
newRegionOfInterest :: RegionOfInterest
data S3Destination = S3Destination' (Maybe Text) (Maybe Text)
newS3Destination :: S3Destination
data S3Object = S3Object' (Maybe Text) (Maybe Text) (Maybe Text)
newS3Object :: S3Object
data SegmentDetection = SegmentDetection' (Maybe Natural) (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe ShotSegment) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe TechnicalCueSegment) (Maybe SegmentType)
newSegmentDetection :: SegmentDetection
data SegmentTypeInfo = SegmentTypeInfo' (Maybe Text) (Maybe SegmentType)
newSegmentTypeInfo :: SegmentTypeInfo
data ShotSegment = ShotSegment' (Maybe Double) (Maybe Natural)
newShotSegment :: ShotSegment
data Smile = Smile' (Maybe Double) (Maybe Bool)
newSmile :: Smile
data StartSegmentDetectionFilters = StartSegmentDetectionFilters' (Maybe StartShotDetectionFilter) (Maybe StartTechnicalCueDetectionFilter)
newStartSegmentDetectionFilters :: StartSegmentDetectionFilters
data StartShotDetectionFilter = StartShotDetectionFilter' (Maybe Double)
newStartShotDetectionFilter :: StartShotDetectionFilter
data StartTechnicalCueDetectionFilter = StartTechnicalCueDetectionFilter' (Maybe BlackFrame) (Maybe Double)
newStartTechnicalCueDetectionFilter :: StartTechnicalCueDetectionFilter
data StartTextDetectionFilters = StartTextDetectionFilters' (Maybe [RegionOfInterest]) (Maybe DetectionFilter)
newStartTextDetectionFilters :: StartTextDetectionFilters
data StreamProcessingStartSelector = StreamProcessingStartSelector' (Maybe KinesisVideoStreamStartSelector)
newStreamProcessingStartSelector :: StreamProcessingStartSelector
data StreamProcessingStopSelector = StreamProcessingStopSelector' (Maybe Natural)
newStreamProcessingStopSelector :: StreamProcessingStopSelector
data StreamProcessor = StreamProcessor' (Maybe Text) (Maybe StreamProcessorStatus)
newStreamProcessor :: StreamProcessor
data StreamProcessorDataSharingPreference = StreamProcessorDataSharingPreference' Bool
newStreamProcessorDataSharingPreference :: Bool -> StreamProcessorDataSharingPreference
data StreamProcessorInput = StreamProcessorInput' (Maybe KinesisVideoStream)
newStreamProcessorInput :: StreamProcessorInput
data StreamProcessorNotificationChannel = StreamProcessorNotificationChannel' Text
newStreamProcessorNotificationChannel :: Text -> StreamProcessorNotificationChannel
data StreamProcessorOutput = StreamProcessorOutput' (Maybe KinesisDataStream) (Maybe S3Destination)
newStreamProcessorOutput :: StreamProcessorOutput
data StreamProcessorSettings = StreamProcessorSettings' (Maybe ConnectedHomeSettings) (Maybe FaceSearchSettings)
newStreamProcessorSettings :: StreamProcessorSettings
data StreamProcessorSettingsForUpdate = StreamProcessorSettingsForUpdate' (Maybe ConnectedHomeSettingsForUpdate)
newStreamProcessorSettingsForUpdate :: StreamProcessorSettingsForUpdate
data Summary = Summary' (Maybe S3Object)
newSummary :: Summary
data Sunglasses = Sunglasses' (Maybe Double) (Maybe Bool)
newSunglasses :: Sunglasses
data TechnicalCueSegment = TechnicalCueSegment' (Maybe Double) (Maybe TechnicalCueType)
newTechnicalCueSegment :: TechnicalCueSegment
data TestingData = TestingData' (Maybe [Asset]) (Maybe Bool)
newTestingData :: TestingData
data TestingDataResult = TestingDataResult' (Maybe TestingData) (Maybe TestingData) (Maybe ValidationData)
newTestingDataResult :: TestingDataResult
data TextDetection = TextDetection' (Maybe Double) (Maybe Text) (Maybe Geometry) (Maybe Natural) (Maybe Natural) (Maybe TextTypes)
newTextDetection :: TextDetection
data TextDetectionResult = TextDetectionResult' (Maybe TextDetection) (Maybe Integer)
newTextDetectionResult :: TextDetectionResult
data TrainingData = TrainingData' (Maybe [Asset])
newTrainingData :: TrainingData
data TrainingDataResult = TrainingDataResult' (Maybe TrainingData) (Maybe TrainingData) (Maybe ValidationData)
newTrainingDataResult :: TrainingDataResult
data UnindexedFace = UnindexedFace' (Maybe FaceDetail) (Maybe [Reason])
newUnindexedFace :: UnindexedFace
data ValidationData = ValidationData' (Maybe [Asset])
newValidationData :: ValidationData
data Video = Video' (Maybe S3Object)
newVideo :: Video
data VideoMetadata = VideoMetadata' (Maybe Text) (Maybe VideoColorRange) (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Double) (Maybe Natural)
newVideoMetadata :: VideoMetadata

Service Configuration

defaultService :: Service Source #

API version 2016-06-27 of the Amazon Rekognition SDK configuration.

Errors

Error matchers are designed for use with the functions provided by Control.Exception.Lens. This allows catching (and rethrowing) service specific errors returned by Rekognition.

AccessDeniedException

_AccessDeniedException :: AsError a => Fold a ServiceError Source #

You are not authorized to perform the action.

HumanLoopQuotaExceededException

_HumanLoopQuotaExceededException :: AsError a => Fold a ServiceError Source #

The number of in-progress human reviews you have has exceeded the number allowed.

IdempotentParameterMismatchException

_IdempotentParameterMismatchException :: AsError a => Fold a ServiceError Source #

A ClientRequestToken input parameter was reused with an operation, but at least one of the other input parameters is different from the previous call to the operation.

ImageTooLargeException

_ImageTooLargeException :: AsError a => Fold a ServiceError Source #

The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, the image size or resolution exceeds the allowed limit. For more information, see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition Developer Guide.

InternalServerError

_InternalServerError :: AsError a => Fold a ServiceError Source #

Amazon Rekognition experienced a service issue. Try your call again.

InvalidImageFormatException

_InvalidImageFormatException :: AsError a => Fold a ServiceError Source #

The provided image format is not supported.

InvalidPaginationTokenException

_InvalidPaginationTokenException :: AsError a => Fold a ServiceError Source #

Pagination token in the request is not valid.

InvalidParameterException

_InvalidParameterException :: AsError a => Fold a ServiceError Source #

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

InvalidPolicyRevisionIdException

_InvalidPolicyRevisionIdException :: AsError a => Fold a ServiceError Source #

The supplied revision id for the project policy is invalid.

InvalidS3ObjectException

_InvalidS3ObjectException :: AsError a => Fold a ServiceError Source #

Amazon Rekognition is unable to access the S3 object specified in the request.

LimitExceededException

_LimitExceededException :: AsError a => Fold a ServiceError Source #

An Amazon Rekognition service limit was exceeded. For example, if you start too many Amazon Rekognition Video jobs concurrently, calls to start operations (StartLabelDetection, for example) will raise a LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Rekognition service limit.

MalformedPolicyDocumentException

_MalformedPolicyDocumentException :: AsError a => Fold a ServiceError Source #

The format of the project policy document that you supplied to PutProjectPolicy is incorrect.

ProvisionedThroughputExceededException

_ProvisionedThroughputExceededException :: AsError a => Fold a ServiceError Source #

The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

ResourceAlreadyExistsException

_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError Source #

A resource with the specified ID already exists.

ResourceInUseException

_ResourceInUseException :: AsError a => Fold a ServiceError Source #

The specified resource is already being used.

ResourceNotFoundException

_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #

The resource specified in the request cannot be found.

ResourceNotReadyException

_ResourceNotReadyException :: AsError a => Fold a ServiceError Source #

The requested resource isn't ready. For example, this exception occurs when you call DetectCustomLabels with a model version that isn't deployed.

ServiceQuotaExceededException

_ServiceQuotaExceededException :: AsError a => Fold a ServiceError Source #

The size of the collection exceeds the allowed limit. For more information, see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition Developer Guide.

ThrottlingException

_ThrottlingException :: AsError a => Fold a ServiceError Source #

Amazon Rekognition is temporarily unable to process the request. Try your call again.

VideoTooLargeException

_VideoTooLargeException :: AsError a => Fold a ServiceError Source #

The file size or duration of the supplied media is too large. The maximum file size is 10GB. The maximum duration is 6 hours.

Waiters

Waiters poll by repeatedly sending a request until some remote success condition configured by the Wait specification is fulfilled. The Wait specification determines how many attempts should be made, in addition to delay and retry strategies.

ProjectVersionRunning

newProjectVersionRunning :: Wait DescribeProjectVersions Source #

Polls DescribeProjectVersions every 30 seconds until a successful state is reached. An error is returned after 40 failed checks.

ProjectVersionTrainingCompleted

newProjectVersionTrainingCompleted :: Wait DescribeProjectVersions Source #

Polls DescribeProjectVersions every 120 seconds until a successful state is reached. An error is returned after 360 failed checks.

Operations

Some AWS operations return results that are incomplete and require subsequent requests in order to obtain the entire result set. The process of sending subsequent requests to continue where a previous request left off is called pagination. For example, the ListObjects operation of Amazon S3 returns up to 1000 objects at a time, and you must send subsequent requests with the appropriate Marker in order to retrieve the next page of results.

Operations that have an AWSPager instance can transparently perform subsequent requests, correctly setting Markers and other request facets to iterate through the entire result set of a truncated API operation. Operations which support this have an additional note in the documentation.

Many operations have the ability to filter results on the server side. See the individual operation parameters for details.

CompareFaces

data CompareFaces Source #

See: newCompareFaces smart constructor.

Constructors

CompareFaces' (Maybe QualityFilter) (Maybe Double) Image Image

Instances

Instances details

ToJSON CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods toJSON :: CompareFaces -> Value # toEncoding :: CompareFaces -> Encoding # toJSONList :: [CompareFaces] -> Value # toEncodingList :: [CompareFaces] -> Encoding #
ToHeaders CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods toHeaders :: CompareFaces -> [Header] #
ToPath CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods toPath :: CompareFaces -> ByteString #
ToQuery CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods toQuery :: CompareFaces -> QueryString #
AWSRequest CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Associated Types type AWSResponse CompareFaces # Methods request :: (Service -> Service) -> CompareFaces -> Request CompareFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CompareFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CompareFaces))) #
Generic CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Associated Types type Rep CompareFaces :: Type -> Type # Methods from :: CompareFaces -> Rep CompareFaces x # to :: Rep CompareFaces x -> CompareFaces #
Read CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods readsPrec :: Int -> ReadS CompareFaces # readList :: ReadS [CompareFaces] # readPrec :: ReadPrec CompareFaces # readListPrec :: ReadPrec [CompareFaces] #
Show CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods showsPrec :: Int -> CompareFaces -> ShowS # show :: CompareFaces -> String # showList :: [CompareFaces] -> ShowS #
NFData CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods rnf :: CompareFaces -> () #
Eq CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods (==) :: CompareFaces -> CompareFaces -> Bool # (/=) :: CompareFaces -> CompareFaces -> Bool #
Hashable CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods hashWithSalt :: Int -> CompareFaces -> Int # hash :: CompareFaces -> Int #
type AWSResponse CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type AWSResponse CompareFaces = CompareFacesResponse
type Rep CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type Rep CompareFaces = D1 ('MetaData "CompareFaces" "Amazonka.Rekognition.CompareFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CompareFaces'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "qualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityFilter)) :: S1 ('MetaSel ('Just "similarityThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "sourceImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image) :*: S1 ('MetaSel ('Just "targetImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image))))

newCompareFaces Source #

Arguments

:: Image	`$sel:sourceImage:CompareFaces'`
-> Image	`$sel:targetImage:CompareFaces'`
-> CompareFaces

Create a value of CompareFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:qualityFilter:CompareFaces', compareFaces_qualityFilter - A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.

To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.

$sel:similarityThreshold:CompareFaces', compareFaces_similarityThreshold - The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

$sel:sourceImage:CompareFaces', compareFaces_sourceImage - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

$sel:targetImage:CompareFaces', compareFaces_targetImage - The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data CompareFacesResponse Source #

See: newCompareFacesResponse smart constructor.

Constructors

CompareFacesResponse' (Maybe [CompareFacesMatch]) (Maybe ComparedSourceImageFace) (Maybe OrientationCorrection) (Maybe OrientationCorrection) (Maybe [ComparedFace]) Int

Instances

Instances details

Generic CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Associated Types type Rep CompareFacesResponse :: Type -> Type # Methods from :: CompareFacesResponse -> Rep CompareFacesResponse x # to :: Rep CompareFacesResponse x -> CompareFacesResponse #
Read CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods readsPrec :: Int -> ReadS CompareFacesResponse # readList :: ReadS [CompareFacesResponse] # readPrec :: ReadPrec CompareFacesResponse # readListPrec :: ReadPrec [CompareFacesResponse] #
Show CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods showsPrec :: Int -> CompareFacesResponse -> ShowS # show :: CompareFacesResponse -> String # showList :: [CompareFacesResponse] -> ShowS #
NFData CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods rnf :: CompareFacesResponse -> () #
Eq CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods (==) :: CompareFacesResponse -> CompareFacesResponse -> Bool # (/=) :: CompareFacesResponse -> CompareFacesResponse -> Bool #
type Rep CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type Rep CompareFacesResponse = D1 ('MetaData "CompareFacesResponse" "Amazonka.Rekognition.CompareFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CompareFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CompareFacesMatch])) :: (S1 ('MetaSel ('Just "sourceImageFace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedSourceImageFace)) :: S1 ('MetaSel ('Just "sourceImageOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)))) :: (S1 ('MetaSel ('Just "targetImageOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: (S1 ('MetaSel ('Just "unmatchedFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ComparedFace])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newCompareFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:CompareFacesResponse'`
-> CompareFacesResponse

Create a value of CompareFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CompareFacesResponse, compareFacesResponse_faceMatches - An array of faces in the target image that match the source image face. Each CompareFacesMatch object provides the bounding box, the confidence level that the bounding box contains a face, and the similarity score for the face in the bounding box and the face in the source image.

$sel:sourceImageFace:CompareFacesResponse', compareFacesResponse_sourceImageFace - The face in the source image that was used for comparison.

$sel:sourceImageOrientationCorrection:CompareFacesResponse', compareFacesResponse_sourceImageOrientationCorrection - The value of SourceImageOrientationCorrection is always null.

If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.

Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.

$sel:targetImageOrientationCorrection:CompareFacesResponse', compareFacesResponse_targetImageOrientationCorrection - The value of TargetImageOrientationCorrection is always null.

If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.

Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.

$sel:unmatchedFaces:CompareFacesResponse', compareFacesResponse_unmatchedFaces - An array of faces in the target image that did not match the source image face.

$sel:httpStatus:CompareFacesResponse', compareFacesResponse_httpStatus - The response's http status code.

CopyProjectVersion

data CopyProjectVersion Source #

See: newCopyProjectVersion smart constructor.

Constructors

CopyProjectVersion' (Maybe Text) (Maybe (HashMap Text Text)) Text Text Text Text OutputConfig

Instances

Instances details

ToJSON CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods toJSON :: CopyProjectVersion -> Value # toEncoding :: CopyProjectVersion -> Encoding # toJSONList :: [CopyProjectVersion] -> Value # toEncodingList :: [CopyProjectVersion] -> Encoding #
ToHeaders CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods toHeaders :: CopyProjectVersion -> [Header] #
ToPath CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods toPath :: CopyProjectVersion -> ByteString #
ToQuery CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods toQuery :: CopyProjectVersion -> QueryString #
AWSRequest CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Associated Types type AWSResponse CopyProjectVersion # Methods request :: (Service -> Service) -> CopyProjectVersion -> Request CopyProjectVersion # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CopyProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CopyProjectVersion))) #
Generic CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Associated Types type Rep CopyProjectVersion :: Type -> Type # Methods from :: CopyProjectVersion -> Rep CopyProjectVersion x # to :: Rep CopyProjectVersion x -> CopyProjectVersion #
Read CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods readsPrec :: Int -> ReadS CopyProjectVersion # readList :: ReadS [CopyProjectVersion] # readPrec :: ReadPrec CopyProjectVersion # readListPrec :: ReadPrec [CopyProjectVersion] #
Show CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods showsPrec :: Int -> CopyProjectVersion -> ShowS # show :: CopyProjectVersion -> String # showList :: [CopyProjectVersion] -> ShowS #
NFData CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods rnf :: CopyProjectVersion -> () #
Eq CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods (==) :: CopyProjectVersion -> CopyProjectVersion -> Bool # (/=) :: CopyProjectVersion -> CopyProjectVersion -> Bool #
Hashable CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods hashWithSalt :: Int -> CopyProjectVersion -> Int # hash :: CopyProjectVersion -> Int #
type AWSResponse CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion type AWSResponse CopyProjectVersion = CopyProjectVersionResponse
type Rep CopyProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion type Rep CopyProjectVersion = D1 ('MetaData "CopyProjectVersion" "Amazonka.Rekognition.CopyProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CopyProjectVersion'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "sourceProjectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "sourceProjectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "destinationProjectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "versionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputConfig)))))

newCopyProjectVersion Source #

Arguments

:: Text	`$sel:sourceProjectArn:CopyProjectVersion'`
-> Text	`CopyProjectVersion`
-> Text	`$sel:destinationProjectArn:CopyProjectVersion'`
-> Text	`$sel:versionName:CopyProjectVersion'`
-> OutputConfig	`CopyProjectVersion`
-> CopyProjectVersion

Create a value of CopyProjectVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CopyProjectVersion, copyProjectVersion_kmsKeyId - The identifier for your AWS Key Management Service key (AWS KMS key). You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt training results and manifest files written to the output Amazon S3 bucket (OutputConfig).

If you choose to use your own KMS key, you need the following permissions on the KMS key.

kms:CreateGrant
kms:DescribeKey
kms:GenerateDataKey
kms:Decrypt

If you don't specify a value for KmsKeyId, images copied into the service are encrypted using a key that AWS owns and manages.

$sel:tags:CopyProjectVersion', copyProjectVersion_tags - The key-value tags to assign to the model version.

$sel:sourceProjectArn:CopyProjectVersion', copyProjectVersion_sourceProjectArn - The ARN of the source project in the trusting AWS account.

CopyProjectVersion, copyProjectVersion_sourceProjectVersionArn - The ARN of the model version in the source project that you want to copy to a destination project.

$sel:destinationProjectArn:CopyProjectVersion', copyProjectVersion_destinationProjectArn - The ARN of the project in the trusted AWS account that you want to copy the model version to.

$sel:versionName:CopyProjectVersion', copyProjectVersion_versionName - A name for the version of the model that's copied to the destination project.

CopyProjectVersion, copyProjectVersion_outputConfig - The S3 bucket and folder location where the training output for the source model version is placed.

data CopyProjectVersionResponse Source #

See: newCopyProjectVersionResponse smart constructor.

Constructors

CopyProjectVersionResponse' (Maybe Text) Int

Instances

Instances details

Generic CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Associated Types type Rep CopyProjectVersionResponse :: Type -> Type # Methods from :: CopyProjectVersionResponse -> Rep CopyProjectVersionResponse x # to :: Rep CopyProjectVersionResponse x -> CopyProjectVersionResponse #
Read CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods readsPrec :: Int -> ReadS CopyProjectVersionResponse # readList :: ReadS [CopyProjectVersionResponse] # readPrec :: ReadPrec CopyProjectVersionResponse # readListPrec :: ReadPrec [CopyProjectVersionResponse] #
Show CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods showsPrec :: Int -> CopyProjectVersionResponse -> ShowS # show :: CopyProjectVersionResponse -> String # showList :: [CopyProjectVersionResponse] -> ShowS #
NFData CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods rnf :: CopyProjectVersionResponse -> () #
Eq CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion Methods (==) :: CopyProjectVersionResponse -> CopyProjectVersionResponse -> Bool # (/=) :: CopyProjectVersionResponse -> CopyProjectVersionResponse -> Bool #
type Rep CopyProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CopyProjectVersion type Rep CopyProjectVersionResponse = D1 ('MetaData "CopyProjectVersionResponse" "Amazonka.Rekognition.CopyProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CopyProjectVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCopyProjectVersionResponse Source #

Arguments

:: Int	`$sel:httpStatus:CopyProjectVersionResponse'`
-> CopyProjectVersionResponse

Create a value of CopyProjectVersionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CopyProjectVersionResponse, copyProjectVersionResponse_projectVersionArn - The ARN of the copied model version in the destination project.

$sel:httpStatus:CopyProjectVersionResponse', copyProjectVersionResponse_httpStatus - The response's http status code.

CreateCollection

data CreateCollection Source #

See: newCreateCollection smart constructor.

Constructors

CreateCollection' (Maybe (HashMap Text Text)) Text

Instances

Instances details

ToJSON CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods toJSON :: CreateCollection -> Value # toEncoding :: CreateCollection -> Encoding # toJSONList :: [CreateCollection] -> Value # toEncodingList :: [CreateCollection] -> Encoding #
ToHeaders CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods toHeaders :: CreateCollection -> [Header] #
ToPath CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods toPath :: CreateCollection -> ByteString #
ToQuery CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods toQuery :: CreateCollection -> QueryString #
AWSRequest CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Associated Types type AWSResponse CreateCollection # Methods request :: (Service -> Service) -> CreateCollection -> Request CreateCollection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateCollection))) #
Generic CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Associated Types type Rep CreateCollection :: Type -> Type # Methods from :: CreateCollection -> Rep CreateCollection x # to :: Rep CreateCollection x -> CreateCollection #
Read CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods readsPrec :: Int -> ReadS CreateCollection # readList :: ReadS [CreateCollection] # readPrec :: ReadPrec CreateCollection # readListPrec :: ReadPrec [CreateCollection] #
Show CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods showsPrec :: Int -> CreateCollection -> ShowS # show :: CreateCollection -> String # showList :: [CreateCollection] -> ShowS #
NFData CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods rnf :: CreateCollection -> () #
Eq CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods (==) :: CreateCollection -> CreateCollection -> Bool # (/=) :: CreateCollection -> CreateCollection -> Bool #
Hashable CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods hashWithSalt :: Int -> CreateCollection -> Int # hash :: CreateCollection -> Int #
type AWSResponse CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type AWSResponse CreateCollection = CreateCollectionResponse
type Rep CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type Rep CreateCollection = D1 ('MetaData "CreateCollection" "Amazonka.Rekognition.CreateCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateCollection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCreateCollection Source #

Arguments

:: Text	`CreateCollection`
-> CreateCollection

Create a value of CreateCollection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tags:CreateCollection', createCollection_tags - A set of tags (key-value pairs) that you want to attach to the collection.

CreateCollection, createCollection_collectionId - ID for the collection that you are creating.

data CreateCollectionResponse Source #

See: newCreateCollectionResponse smart constructor.

Constructors

CreateCollectionResponse' (Maybe Text) (Maybe Text) (Maybe Natural) Int

Instances

Instances details

Generic CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Associated Types type Rep CreateCollectionResponse :: Type -> Type # Methods from :: CreateCollectionResponse -> Rep CreateCollectionResponse x # to :: Rep CreateCollectionResponse x -> CreateCollectionResponse #
Read CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods readsPrec :: Int -> ReadS CreateCollectionResponse # readList :: ReadS [CreateCollectionResponse] # readPrec :: ReadPrec CreateCollectionResponse # readListPrec :: ReadPrec [CreateCollectionResponse] #
Show CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods showsPrec :: Int -> CreateCollectionResponse -> ShowS # show :: CreateCollectionResponse -> String # showList :: [CreateCollectionResponse] -> ShowS #
NFData CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods rnf :: CreateCollectionResponse -> () #
Eq CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods (==) :: CreateCollectionResponse -> CreateCollectionResponse -> Bool # (/=) :: CreateCollectionResponse -> CreateCollectionResponse -> Bool #
type Rep CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type Rep CreateCollectionResponse = D1 ('MetaData "CreateCollectionResponse" "Amazonka.Rekognition.CreateCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateCollectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "collectionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "statusCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newCreateCollectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateCollectionResponse'`
-> CreateCollectionResponse

Create a value of CreateCollectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionArn:CreateCollectionResponse', createCollectionResponse_collectionArn - Amazon Resource Name (ARN) of the collection. You can use this to manage permissions on your resources.

$sel:faceModelVersion:CreateCollectionResponse', createCollectionResponse_faceModelVersion - Version number of the face detection model associated with the collection you are creating.

$sel:statusCode:CreateCollectionResponse', createCollectionResponse_statusCode - HTTP status code indicating the result of the operation.

$sel:httpStatus:CreateCollectionResponse', createCollectionResponse_httpStatus - The response's http status code.

CreateDataset

data CreateDataset Source #

See: newCreateDataset smart constructor.

Constructors

CreateDataset' (Maybe DatasetSource) DatasetType Text

Instances

Instances details

ToJSON CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods toJSON :: CreateDataset -> Value # toEncoding :: CreateDataset -> Encoding # toJSONList :: [CreateDataset] -> Value # toEncodingList :: [CreateDataset] -> Encoding #
ToHeaders CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods toHeaders :: CreateDataset -> [Header] #
ToPath CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods toPath :: CreateDataset -> ByteString #
ToQuery CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods toQuery :: CreateDataset -> QueryString #
AWSRequest CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Associated Types type AWSResponse CreateDataset # Methods request :: (Service -> Service) -> CreateDataset -> Request CreateDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateDataset))) #
Generic CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Associated Types type Rep CreateDataset :: Type -> Type # Methods from :: CreateDataset -> Rep CreateDataset x # to :: Rep CreateDataset x -> CreateDataset #
Read CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods readsPrec :: Int -> ReadS CreateDataset # readList :: ReadS [CreateDataset] # readPrec :: ReadPrec CreateDataset # readListPrec :: ReadPrec [CreateDataset] #
Show CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods showsPrec :: Int -> CreateDataset -> ShowS # show :: CreateDataset -> String # showList :: [CreateDataset] -> ShowS #
NFData CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods rnf :: CreateDataset -> () #
Eq CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods (==) :: CreateDataset -> CreateDataset -> Bool # (/=) :: CreateDataset -> CreateDataset -> Bool #
Hashable CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods hashWithSalt :: Int -> CreateDataset -> Int # hash :: CreateDataset -> Int #
type AWSResponse CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset type AWSResponse CreateDataset = CreateDatasetResponse
type Rep CreateDataset Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset type Rep CreateDataset = D1 ('MetaData "CreateDataset" "Amazonka.Rekognition.CreateDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetSource)) :: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DatasetType) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCreateDataset Source #

Arguments

:: DatasetType	`CreateDataset`
-> Text	`CreateDataset`
-> CreateDataset

Create a value of CreateDataset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetSource:CreateDataset', createDataset_datasetSource - The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

CreateDataset, createDataset_datasetType - The type of the dataset. Specify train to create a training dataset. Specify test to create a test dataset.

CreateDataset, createDataset_projectArn - The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

data CreateDatasetResponse Source #

See: newCreateDatasetResponse smart constructor.

Constructors

CreateDatasetResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Associated Types type Rep CreateDatasetResponse :: Type -> Type # Methods from :: CreateDatasetResponse -> Rep CreateDatasetResponse x # to :: Rep CreateDatasetResponse x -> CreateDatasetResponse #
Read CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods readsPrec :: Int -> ReadS CreateDatasetResponse # readList :: ReadS [CreateDatasetResponse] # readPrec :: ReadPrec CreateDatasetResponse # readListPrec :: ReadPrec [CreateDatasetResponse] #
Show CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods showsPrec :: Int -> CreateDatasetResponse -> ShowS # show :: CreateDatasetResponse -> String # showList :: [CreateDatasetResponse] -> ShowS #
NFData CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods rnf :: CreateDatasetResponse -> () #
Eq CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset Methods (==) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool # (/=) :: CreateDatasetResponse -> CreateDatasetResponse -> Bool #
type Rep CreateDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateDataset type Rep CreateDatasetResponse = D1 ('MetaData "CreateDatasetResponse" "Amazonka.Rekognition.CreateDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateDatasetResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateDatasetResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateDatasetResponse'`
-> CreateDatasetResponse

Create a value of CreateDatasetResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CreateDatasetResponse, createDatasetResponse_datasetArn - The ARN of the created Amazon Rekognition Custom Labels dataset.

$sel:httpStatus:CreateDatasetResponse', createDatasetResponse_httpStatus - The response's http status code.

CreateProject

data CreateProject Source #

See: newCreateProject smart constructor.

Constructors

CreateProject' Text

Instances

Instances details

ToJSON CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods toJSON :: CreateProject -> Value # toEncoding :: CreateProject -> Encoding # toJSONList :: [CreateProject] -> Value # toEncodingList :: [CreateProject] -> Encoding #
ToHeaders CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods toHeaders :: CreateProject -> [Header] #
ToPath CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods toPath :: CreateProject -> ByteString #
ToQuery CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods toQuery :: CreateProject -> QueryString #
AWSRequest CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Associated Types type AWSResponse CreateProject # Methods request :: (Service -> Service) -> CreateProject -> Request CreateProject # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateProject -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateProject))) #
Generic CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Associated Types type Rep CreateProject :: Type -> Type # Methods from :: CreateProject -> Rep CreateProject x # to :: Rep CreateProject x -> CreateProject #
Read CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods readsPrec :: Int -> ReadS CreateProject # readList :: ReadS [CreateProject] # readPrec :: ReadPrec CreateProject # readListPrec :: ReadPrec [CreateProject] #
Show CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods showsPrec :: Int -> CreateProject -> ShowS # show :: CreateProject -> String # showList :: [CreateProject] -> ShowS #
NFData CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods rnf :: CreateProject -> () #
Eq CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods (==) :: CreateProject -> CreateProject -> Bool # (/=) :: CreateProject -> CreateProject -> Bool #
Hashable CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods hashWithSalt :: Int -> CreateProject -> Int # hash :: CreateProject -> Int #
type AWSResponse CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type AWSResponse CreateProject = CreateProjectResponse
type Rep CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type Rep CreateProject = D1 ('MetaData "CreateProject" "Amazonka.Rekognition.CreateProject" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateProject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCreateProject Source #

Arguments

:: Text	`$sel:projectName:CreateProject'`
-> CreateProject

Create a value of CreateProject with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:projectName:CreateProject', createProject_projectName - The name of the project to create.

data CreateProjectResponse Source #

See: newCreateProjectResponse smart constructor.

Constructors

CreateProjectResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Associated Types type Rep CreateProjectResponse :: Type -> Type # Methods from :: CreateProjectResponse -> Rep CreateProjectResponse x # to :: Rep CreateProjectResponse x -> CreateProjectResponse #
Read CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods readsPrec :: Int -> ReadS CreateProjectResponse # readList :: ReadS [CreateProjectResponse] # readPrec :: ReadPrec CreateProjectResponse # readListPrec :: ReadPrec [CreateProjectResponse] #
Show CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods showsPrec :: Int -> CreateProjectResponse -> ShowS # show :: CreateProjectResponse -> String # showList :: [CreateProjectResponse] -> ShowS #
NFData CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods rnf :: CreateProjectResponse -> () #
Eq CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods (==) :: CreateProjectResponse -> CreateProjectResponse -> Bool # (/=) :: CreateProjectResponse -> CreateProjectResponse -> Bool #
type Rep CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type Rep CreateProjectResponse = D1 ('MetaData "CreateProjectResponse" "Amazonka.Rekognition.CreateProject" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateProjectResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateProjectResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateProjectResponse'`
-> CreateProjectResponse

Create a value of CreateProjectResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CreateProjectResponse, createProjectResponse_projectArn - The Amazon Resource Name (ARN) of the new project. You can use the ARN to configure IAM access to the project.

$sel:httpStatus:CreateProjectResponse', createProjectResponse_httpStatus - The response's http status code.

CreateProjectVersion

data CreateProjectVersion Source #

See: newCreateProjectVersion smart constructor.

Constructors

CreateProjectVersion' (Maybe Text) (Maybe (HashMap Text Text)) (Maybe TestingData) (Maybe TrainingData) Text Text OutputConfig

Instances

Instances details

ToJSON CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods toJSON :: CreateProjectVersion -> Value # toEncoding :: CreateProjectVersion -> Encoding # toJSONList :: [CreateProjectVersion] -> Value # toEncodingList :: [CreateProjectVersion] -> Encoding #
ToHeaders CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods toHeaders :: CreateProjectVersion -> [Header] #
ToPath CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods toPath :: CreateProjectVersion -> ByteString #
ToQuery CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods toQuery :: CreateProjectVersion -> QueryString #
AWSRequest CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Associated Types type AWSResponse CreateProjectVersion # Methods request :: (Service -> Service) -> CreateProjectVersion -> Request CreateProjectVersion # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateProjectVersion))) #
Generic CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Associated Types type Rep CreateProjectVersion :: Type -> Type # Methods from :: CreateProjectVersion -> Rep CreateProjectVersion x # to :: Rep CreateProjectVersion x -> CreateProjectVersion #
Read CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods readsPrec :: Int -> ReadS CreateProjectVersion # readList :: ReadS [CreateProjectVersion] # readPrec :: ReadPrec CreateProjectVersion # readListPrec :: ReadPrec [CreateProjectVersion] #
Show CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods showsPrec :: Int -> CreateProjectVersion -> ShowS # show :: CreateProjectVersion -> String # showList :: [CreateProjectVersion] -> ShowS #
NFData CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods rnf :: CreateProjectVersion -> () #
Eq CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods (==) :: CreateProjectVersion -> CreateProjectVersion -> Bool # (/=) :: CreateProjectVersion -> CreateProjectVersion -> Bool #
Hashable CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods hashWithSalt :: Int -> CreateProjectVersion -> Int # hash :: CreateProjectVersion -> Int #
type AWSResponse CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type AWSResponse CreateProjectVersion = CreateProjectVersionResponse
type Rep CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type Rep CreateProjectVersion = D1 ('MetaData "CreateProjectVersion" "Amazonka.Rekognition.CreateProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateProjectVersion'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "testingData") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)))) :: ((S1 ('MetaSel ('Just "trainingData") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingData)) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "versionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputConfig)))))

newCreateProjectVersion Source #

Arguments

:: Text	`CreateProjectVersion`
-> Text	`$sel:versionName:CreateProjectVersion'`
-> OutputConfig	`CreateProjectVersion`
-> CreateProjectVersion

Create a value of CreateProjectVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CreateProjectVersion, createProjectVersion_kmsKeyId - The identifier for your AWS Key Management Service key (AWS KMS key). You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt training and test images copied into the service for model training. Your source images are unaffected. The key is also used to encrypt training results and manifest files written to the output Amazon S3 bucket (OutputConfig).

If you choose to use your own KMS key, you need the following permissions on the KMS key.

kms:CreateGrant
kms:DescribeKey
kms:GenerateDataKey
kms:Decrypt

If you don't specify a value for KmsKeyId, images copied into the service are encrypted using a key that AWS owns and manages.

$sel:tags:CreateProjectVersion', createProjectVersion_tags - A set of tags (key-value pairs) that you want to attach to the model.

$sel:testingData:CreateProjectVersion', createProjectVersion_testingData - Specifies an external manifest that the service uses to test the model. If you specify TestingData you must also specify TrainingData. The project must not have any associated datasets.

$sel:trainingData:CreateProjectVersion', createProjectVersion_trainingData - Specifies an external manifest that the services uses to train the model. If you specify TrainingData you must also specify TestingData. The project must not have any associated datasets.

CreateProjectVersion, createProjectVersion_projectArn - The ARN of the Amazon Rekognition Custom Labels project that manages the model that you want to train.

$sel:versionName:CreateProjectVersion', createProjectVersion_versionName - A name for the version of the model. This value must be unique.

CreateProjectVersion, createProjectVersion_outputConfig - The Amazon S3 bucket location to store the results of training. The S3 bucket can be in any AWS account as long as the caller has s3:PutObject permissions on the S3 bucket.

data CreateProjectVersionResponse Source #

See: newCreateProjectVersionResponse smart constructor.

Constructors

CreateProjectVersionResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Associated Types type Rep CreateProjectVersionResponse :: Type -> Type # Methods from :: CreateProjectVersionResponse -> Rep CreateProjectVersionResponse x # to :: Rep CreateProjectVersionResponse x -> CreateProjectVersionResponse #
Read CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods readsPrec :: Int -> ReadS CreateProjectVersionResponse # readList :: ReadS [CreateProjectVersionResponse] # readPrec :: ReadPrec CreateProjectVersionResponse # readListPrec :: ReadPrec [CreateProjectVersionResponse] #
Show CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods showsPrec :: Int -> CreateProjectVersionResponse -> ShowS # show :: CreateProjectVersionResponse -> String # showList :: [CreateProjectVersionResponse] -> ShowS #
NFData CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods rnf :: CreateProjectVersionResponse -> () #
Eq CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods (==) :: CreateProjectVersionResponse -> CreateProjectVersionResponse -> Bool # (/=) :: CreateProjectVersionResponse -> CreateProjectVersionResponse -> Bool #
type Rep CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type Rep CreateProjectVersionResponse = D1 ('MetaData "CreateProjectVersionResponse" "Amazonka.Rekognition.CreateProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateProjectVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateProjectVersionResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateProjectVersionResponse'`
-> CreateProjectVersionResponse

Create a value of CreateProjectVersionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CreateProjectVersionResponse, createProjectVersionResponse_projectVersionArn - The ARN of the model version that was created. Use DescribeProjectVersion to get the current status of the training operation.

$sel:httpStatus:CreateProjectVersionResponse', createProjectVersionResponse_httpStatus - The response's http status code.

CreateStreamProcessor

data CreateStreamProcessor Source #

See: newCreateStreamProcessor smart constructor.

Constructors

CreateStreamProcessor' (Maybe StreamProcessorDataSharingPreference) (Maybe Text) (Maybe StreamProcessorNotificationChannel) (Maybe [RegionOfInterest]) (Maybe (HashMap Text Text)) StreamProcessorInput StreamProcessorOutput Text StreamProcessorSettings Text

Instances

Instances details

ToJSON CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods toJSON :: CreateStreamProcessor -> Value # toEncoding :: CreateStreamProcessor -> Encoding # toJSONList :: [CreateStreamProcessor] -> Value # toEncodingList :: [CreateStreamProcessor] -> Encoding #
ToHeaders CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods toHeaders :: CreateStreamProcessor -> [Header] #
ToPath CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods toPath :: CreateStreamProcessor -> ByteString #
ToQuery CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods toQuery :: CreateStreamProcessor -> QueryString #
AWSRequest CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Associated Types type AWSResponse CreateStreamProcessor # Methods request :: (Service -> Service) -> CreateStreamProcessor -> Request CreateStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy CreateStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateStreamProcessor))) #
Generic CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Associated Types type Rep CreateStreamProcessor :: Type -> Type # Methods from :: CreateStreamProcessor -> Rep CreateStreamProcessor x # to :: Rep CreateStreamProcessor x -> CreateStreamProcessor #
Read CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods readsPrec :: Int -> ReadS CreateStreamProcessor # readList :: ReadS [CreateStreamProcessor] # readPrec :: ReadPrec CreateStreamProcessor # readListPrec :: ReadPrec [CreateStreamProcessor] #
Show CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods showsPrec :: Int -> CreateStreamProcessor -> ShowS # show :: CreateStreamProcessor -> String # showList :: [CreateStreamProcessor] -> ShowS #
NFData CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods rnf :: CreateStreamProcessor -> () #
Eq CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods (==) :: CreateStreamProcessor -> CreateStreamProcessor -> Bool # (/=) :: CreateStreamProcessor -> CreateStreamProcessor -> Bool #
Hashable CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods hashWithSalt :: Int -> CreateStreamProcessor -> Int # hash :: CreateStreamProcessor -> Int #
type AWSResponse CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type AWSResponse CreateStreamProcessor = CreateStreamProcessorResponse
type Rep CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type Rep CreateStreamProcessor = D1 ('MetaData "CreateStreamProcessor" "Amazonka.Rekognition.CreateStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateStreamProcessor'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataSharingPreference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorDataSharingPreference)) :: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorNotificationChannel)) :: (S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :: ((S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StreamProcessorInput) :: S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StreamProcessorOutput)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "settings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StreamProcessorSettings) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newCreateStreamProcessor Source #

Arguments

:: StreamProcessorInput	`CreateStreamProcessor`
-> StreamProcessorOutput	`CreateStreamProcessor`
-> Text	`CreateStreamProcessor`
-> StreamProcessorSettings	`$sel:settings:CreateStreamProcessor'`
-> Text	`CreateStreamProcessor`
-> CreateStreamProcessor

Create a value of CreateStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataSharingPreference:CreateStreamProcessor', createStreamProcessor_dataSharingPreference - Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

CreateStreamProcessor, createStreamProcessor_kmsKeyId - The identifier for your AWS Key Management Service key (AWS KMS key). This is an optional parameter for label detection stream processors and should not be used to create a face search stream processor. You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt results and data published to your Amazon S3 bucket, which includes image frames and hero images. Your source images are unaffected.

$sel:notificationChannel:CreateStreamProcessor', createStreamProcessor_notificationChannel - Undocumented member.

CreateStreamProcessor, createStreamProcessor_regionsOfInterest - Specifies locations in the frames where Amazon Rekognition checks for objects or people. You can specify up to 10 regions of interest, and each region has either a polygon or a bounding box. This is an optional parameter for label detection stream processors and should not be used to create a face search stream processor.

$sel:tags:CreateStreamProcessor', createStreamProcessor_tags - A set of tags (key-value pairs) that you want to attach to the stream processor.

CreateStreamProcessor, createStreamProcessor_input - Kinesis video stream stream that provides the source streaming video. If you are using the AWS CLI, the parameter name is StreamProcessorInput. This is required for both face search and label detection stream processors.

CreateStreamProcessor, createStreamProcessor_output - Kinesis data stream stream or Amazon S3 bucket location to which Amazon Rekognition Video puts the analysis results. If you are using the AWS CLI, the parameter name is StreamProcessorOutput. This must be a S3Destination of an Amazon S3 bucket that you own for a label detection stream processor or a Kinesis data stream ARN for a face search stream processor.

CreateStreamProcessor, createStreamProcessor_name - An identifier you assign to the stream processor. You can use Name to manage the stream processor. For example, you can get the current status of the stream processor by calling DescribeStreamProcessor. Name is idempotent. This is required for both face search and label detection stream processors.

$sel:settings:CreateStreamProcessor', createStreamProcessor_settings - Input parameters used in a streaming video analyzed by a stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.

CreateStreamProcessor, createStreamProcessor_roleArn - The Amazon Resource Number (ARN) of the IAM role that allows access to the stream processor. The IAM role provides Rekognition read permissions for a Kinesis stream. It also provides write permissions to an Amazon S3 bucket and Amazon Simple Notification Service topic for a label detection stream processor. This is required for both face search and label detection stream processors.

data CreateStreamProcessorResponse Source #

See: newCreateStreamProcessorResponse smart constructor.

Constructors

CreateStreamProcessorResponse' (Maybe Text) Int

Instances

Instances details

Generic CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Associated Types type Rep CreateStreamProcessorResponse :: Type -> Type # Methods from :: CreateStreamProcessorResponse -> Rep CreateStreamProcessorResponse x # to :: Rep CreateStreamProcessorResponse x -> CreateStreamProcessorResponse #
Read CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods readsPrec :: Int -> ReadS CreateStreamProcessorResponse # readList :: ReadS [CreateStreamProcessorResponse] # readPrec :: ReadPrec CreateStreamProcessorResponse # readListPrec :: ReadPrec [CreateStreamProcessorResponse] #
Show CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods showsPrec :: Int -> CreateStreamProcessorResponse -> ShowS # show :: CreateStreamProcessorResponse -> String # showList :: [CreateStreamProcessorResponse] -> ShowS #
NFData CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods rnf :: CreateStreamProcessorResponse -> () #
Eq CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods (==) :: CreateStreamProcessorResponse -> CreateStreamProcessorResponse -> Bool # (/=) :: CreateStreamProcessorResponse -> CreateStreamProcessorResponse -> Bool #
type Rep CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type Rep CreateStreamProcessorResponse = D1 ('MetaData "CreateStreamProcessorResponse" "Amazonka.Rekognition.CreateStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CreateStreamProcessorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "streamProcessorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newCreateStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:CreateStreamProcessorResponse'`
-> CreateStreamProcessorResponse

Create a value of CreateStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:streamProcessorArn:CreateStreamProcessorResponse', createStreamProcessorResponse_streamProcessorArn - Amazon Resource Number for the newly created stream processor.

$sel:httpStatus:CreateStreamProcessorResponse', createStreamProcessorResponse_httpStatus - The response's http status code.

DeleteCollection

data DeleteCollection Source #

See: newDeleteCollection smart constructor.

Constructors

DeleteCollection' Text

Instances

Instances details

ToJSON DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods toJSON :: DeleteCollection -> Value # toEncoding :: DeleteCollection -> Encoding # toJSONList :: [DeleteCollection] -> Value # toEncodingList :: [DeleteCollection] -> Encoding #
ToHeaders DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods toHeaders :: DeleteCollection -> [Header] #
ToPath DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods toPath :: DeleteCollection -> ByteString #
ToQuery DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods toQuery :: DeleteCollection -> QueryString #
AWSRequest DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Associated Types type AWSResponse DeleteCollection # Methods request :: (Service -> Service) -> DeleteCollection -> Request DeleteCollection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteCollection))) #
Generic DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Associated Types type Rep DeleteCollection :: Type -> Type # Methods from :: DeleteCollection -> Rep DeleteCollection x # to :: Rep DeleteCollection x -> DeleteCollection #
Read DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods readsPrec :: Int -> ReadS DeleteCollection # readList :: ReadS [DeleteCollection] # readPrec :: ReadPrec DeleteCollection # readListPrec :: ReadPrec [DeleteCollection] #
Show DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods showsPrec :: Int -> DeleteCollection -> ShowS # show :: DeleteCollection -> String # showList :: [DeleteCollection] -> ShowS #
NFData DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods rnf :: DeleteCollection -> () #
Eq DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods (==) :: DeleteCollection -> DeleteCollection -> Bool # (/=) :: DeleteCollection -> DeleteCollection -> Bool #
Hashable DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods hashWithSalt :: Int -> DeleteCollection -> Int # hash :: DeleteCollection -> Int #
type AWSResponse DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type AWSResponse DeleteCollection = DeleteCollectionResponse
type Rep DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type Rep DeleteCollection = D1 ('MetaData "DeleteCollection" "Amazonka.Rekognition.DeleteCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteCollection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteCollection Source #

Arguments

:: Text	`DeleteCollection`
-> DeleteCollection

Create a value of DeleteCollection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteCollection, deleteCollection_collectionId - ID of the collection to delete.

data DeleteCollectionResponse Source #

See: newDeleteCollectionResponse smart constructor.

Constructors

DeleteCollectionResponse' (Maybe Natural) Int

Instances

Instances details

Generic DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Associated Types type Rep DeleteCollectionResponse :: Type -> Type # Methods from :: DeleteCollectionResponse -> Rep DeleteCollectionResponse x # to :: Rep DeleteCollectionResponse x -> DeleteCollectionResponse #
Read DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods readsPrec :: Int -> ReadS DeleteCollectionResponse # readList :: ReadS [DeleteCollectionResponse] # readPrec :: ReadPrec DeleteCollectionResponse # readListPrec :: ReadPrec [DeleteCollectionResponse] #
Show DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods showsPrec :: Int -> DeleteCollectionResponse -> ShowS # show :: DeleteCollectionResponse -> String # showList :: [DeleteCollectionResponse] -> ShowS #
NFData DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods rnf :: DeleteCollectionResponse -> () #
Eq DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods (==) :: DeleteCollectionResponse -> DeleteCollectionResponse -> Bool # (/=) :: DeleteCollectionResponse -> DeleteCollectionResponse -> Bool #
type Rep DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type Rep DeleteCollectionResponse = D1 ('MetaData "DeleteCollectionResponse" "Amazonka.Rekognition.DeleteCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteCollectionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "statusCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteCollectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteCollectionResponse'`
-> DeleteCollectionResponse

Create a value of DeleteCollectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:statusCode:DeleteCollectionResponse', deleteCollectionResponse_statusCode - HTTP status code that indicates the result of the operation.

$sel:httpStatus:DeleteCollectionResponse', deleteCollectionResponse_httpStatus - The response's http status code.

DeleteDataset

data DeleteDataset Source #

See: newDeleteDataset smart constructor.

Constructors

DeleteDataset' Text

Instances

Instances details

ToJSON DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods toJSON :: DeleteDataset -> Value # toEncoding :: DeleteDataset -> Encoding # toJSONList :: [DeleteDataset] -> Value # toEncodingList :: [DeleteDataset] -> Encoding #
ToHeaders DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods toHeaders :: DeleteDataset -> [Header] #
ToPath DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods toPath :: DeleteDataset -> ByteString #
ToQuery DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods toQuery :: DeleteDataset -> QueryString #
AWSRequest DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Associated Types type AWSResponse DeleteDataset # Methods request :: (Service -> Service) -> DeleteDataset -> Request DeleteDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteDataset))) #
Generic DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Associated Types type Rep DeleteDataset :: Type -> Type # Methods from :: DeleteDataset -> Rep DeleteDataset x # to :: Rep DeleteDataset x -> DeleteDataset #
Read DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods readsPrec :: Int -> ReadS DeleteDataset # readList :: ReadS [DeleteDataset] # readPrec :: ReadPrec DeleteDataset # readListPrec :: ReadPrec [DeleteDataset] #
Show DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods showsPrec :: Int -> DeleteDataset -> ShowS # show :: DeleteDataset -> String # showList :: [DeleteDataset] -> ShowS #
NFData DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods rnf :: DeleteDataset -> () #
Eq DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods (==) :: DeleteDataset -> DeleteDataset -> Bool # (/=) :: DeleteDataset -> DeleteDataset -> Bool #
Hashable DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods hashWithSalt :: Int -> DeleteDataset -> Int # hash :: DeleteDataset -> Int #
type AWSResponse DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset type AWSResponse DeleteDataset = DeleteDatasetResponse
type Rep DeleteDataset Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset type Rep DeleteDataset = D1 ('MetaData "DeleteDataset" "Amazonka.Rekognition.DeleteDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteDataset Source #

Arguments

:: Text	`DeleteDataset`
-> DeleteDataset

Create a value of DeleteDataset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteDataset, deleteDataset_datasetArn - The ARN of the Amazon Rekognition Custom Labels dataset that you want to delete.

data DeleteDatasetResponse Source #

See: newDeleteDatasetResponse smart constructor.

Constructors

DeleteDatasetResponse' Int

Instances

Instances details

Generic DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Associated Types type Rep DeleteDatasetResponse :: Type -> Type # Methods from :: DeleteDatasetResponse -> Rep DeleteDatasetResponse x # to :: Rep DeleteDatasetResponse x -> DeleteDatasetResponse #
Read DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods readsPrec :: Int -> ReadS DeleteDatasetResponse # readList :: ReadS [DeleteDatasetResponse] # readPrec :: ReadPrec DeleteDatasetResponse # readListPrec :: ReadPrec [DeleteDatasetResponse] #
Show DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods showsPrec :: Int -> DeleteDatasetResponse -> ShowS # show :: DeleteDatasetResponse -> String # showList :: [DeleteDatasetResponse] -> ShowS #
NFData DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods rnf :: DeleteDatasetResponse -> () #
Eq DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset Methods (==) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool # (/=) :: DeleteDatasetResponse -> DeleteDatasetResponse -> Bool #
type Rep DeleteDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteDataset type Rep DeleteDatasetResponse = D1 ('MetaData "DeleteDatasetResponse" "Amazonka.Rekognition.DeleteDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteDatasetResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteDatasetResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteDatasetResponse'`
-> DeleteDatasetResponse

Create a value of DeleteDatasetResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:DeleteDatasetResponse', deleteDatasetResponse_httpStatus - The response's http status code.

DeleteFaces

data DeleteFaces Source #

See: newDeleteFaces smart constructor.

Constructors

DeleteFaces' Text (NonEmpty Text)

Instances

Instances details

ToJSON DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods toJSON :: DeleteFaces -> Value # toEncoding :: DeleteFaces -> Encoding # toJSONList :: [DeleteFaces] -> Value # toEncodingList :: [DeleteFaces] -> Encoding #
ToHeaders DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods toHeaders :: DeleteFaces -> [Header] #
ToPath DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods toPath :: DeleteFaces -> ByteString #
ToQuery DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods toQuery :: DeleteFaces -> QueryString #
AWSRequest DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Associated Types type AWSResponse DeleteFaces # Methods request :: (Service -> Service) -> DeleteFaces -> Request DeleteFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteFaces))) #
Generic DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Associated Types type Rep DeleteFaces :: Type -> Type # Methods from :: DeleteFaces -> Rep DeleteFaces x # to :: Rep DeleteFaces x -> DeleteFaces #
Read DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods readsPrec :: Int -> ReadS DeleteFaces # readList :: ReadS [DeleteFaces] # readPrec :: ReadPrec DeleteFaces # readListPrec :: ReadPrec [DeleteFaces] #
Show DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods showsPrec :: Int -> DeleteFaces -> ShowS # show :: DeleteFaces -> String # showList :: [DeleteFaces] -> ShowS #
NFData DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods rnf :: DeleteFaces -> () #
Eq DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods (==) :: DeleteFaces -> DeleteFaces -> Bool # (/=) :: DeleteFaces -> DeleteFaces -> Bool #
Hashable DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods hashWithSalt :: Int -> DeleteFaces -> Int # hash :: DeleteFaces -> Int #
type AWSResponse DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type AWSResponse DeleteFaces = DeleteFacesResponse
type Rep DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type Rep DeleteFaces = D1 ('MetaData "DeleteFaces" "Amazonka.Rekognition.DeleteFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteFaces'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "faceIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newDeleteFaces Source #

Arguments

:: Text	`DeleteFaces`
-> NonEmpty Text	`$sel:faceIds:DeleteFaces'`
-> DeleteFaces

Create a value of DeleteFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteFaces, deleteFaces_collectionId - Collection from which to remove the specific faces.

$sel:faceIds:DeleteFaces', deleteFaces_faceIds - An array of face IDs to delete.

data DeleteFacesResponse Source #

See: newDeleteFacesResponse smart constructor.

Constructors

DeleteFacesResponse' (Maybe (NonEmpty Text)) Int

Instances

Instances details

Generic DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Associated Types type Rep DeleteFacesResponse :: Type -> Type # Methods from :: DeleteFacesResponse -> Rep DeleteFacesResponse x # to :: Rep DeleteFacesResponse x -> DeleteFacesResponse #
Read DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods readsPrec :: Int -> ReadS DeleteFacesResponse # readList :: ReadS [DeleteFacesResponse] # readPrec :: ReadPrec DeleteFacesResponse # readListPrec :: ReadPrec [DeleteFacesResponse] #
Show DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods showsPrec :: Int -> DeleteFacesResponse -> ShowS # show :: DeleteFacesResponse -> String # showList :: [DeleteFacesResponse] -> ShowS #
NFData DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods rnf :: DeleteFacesResponse -> () #
Eq DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods (==) :: DeleteFacesResponse -> DeleteFacesResponse -> Bool # (/=) :: DeleteFacesResponse -> DeleteFacesResponse -> Bool #
type Rep DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type Rep DeleteFacesResponse = D1 ('MetaData "DeleteFacesResponse" "Amazonka.Rekognition.DeleteFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteFacesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "deletedFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteFacesResponse'`
-> DeleteFacesResponse

Create a value of DeleteFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:deletedFaces:DeleteFacesResponse', deleteFacesResponse_deletedFaces - An array of strings (face IDs) of the faces that were deleted.

$sel:httpStatus:DeleteFacesResponse', deleteFacesResponse_httpStatus - The response's http status code.

DeleteProject

data DeleteProject Source #

See: newDeleteProject smart constructor.

Constructors

DeleteProject' Text

Instances

Instances details

ToJSON DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods toJSON :: DeleteProject -> Value # toEncoding :: DeleteProject -> Encoding # toJSONList :: [DeleteProject] -> Value # toEncodingList :: [DeleteProject] -> Encoding #
ToHeaders DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods toHeaders :: DeleteProject -> [Header] #
ToPath DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods toPath :: DeleteProject -> ByteString #
ToQuery DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods toQuery :: DeleteProject -> QueryString #
AWSRequest DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Associated Types type AWSResponse DeleteProject # Methods request :: (Service -> Service) -> DeleteProject -> Request DeleteProject # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteProject -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteProject))) #
Generic DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Associated Types type Rep DeleteProject :: Type -> Type # Methods from :: DeleteProject -> Rep DeleteProject x # to :: Rep DeleteProject x -> DeleteProject #
Read DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods readsPrec :: Int -> ReadS DeleteProject # readList :: ReadS [DeleteProject] # readPrec :: ReadPrec DeleteProject # readListPrec :: ReadPrec [DeleteProject] #
Show DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods showsPrec :: Int -> DeleteProject -> ShowS # show :: DeleteProject -> String # showList :: [DeleteProject] -> ShowS #
NFData DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods rnf :: DeleteProject -> () #
Eq DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods (==) :: DeleteProject -> DeleteProject -> Bool # (/=) :: DeleteProject -> DeleteProject -> Bool #
Hashable DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods hashWithSalt :: Int -> DeleteProject -> Int # hash :: DeleteProject -> Int #
type AWSResponse DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type AWSResponse DeleteProject = DeleteProjectResponse
type Rep DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type Rep DeleteProject = D1 ('MetaData "DeleteProject" "Amazonka.Rekognition.DeleteProject" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteProject Source #

Arguments

:: Text	`DeleteProject`
-> DeleteProject

Create a value of DeleteProject with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteProject, deleteProject_projectArn - The Amazon Resource Name (ARN) of the project that you want to delete.

data DeleteProjectResponse Source #

See: newDeleteProjectResponse smart constructor.

Constructors

DeleteProjectResponse' (Maybe ProjectStatus) Int

Instances

Instances details

Generic DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Associated Types type Rep DeleteProjectResponse :: Type -> Type # Methods from :: DeleteProjectResponse -> Rep DeleteProjectResponse x # to :: Rep DeleteProjectResponse x -> DeleteProjectResponse #
Read DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods readsPrec :: Int -> ReadS DeleteProjectResponse # readList :: ReadS [DeleteProjectResponse] # readPrec :: ReadPrec DeleteProjectResponse # readListPrec :: ReadPrec [DeleteProjectResponse] #
Show DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods showsPrec :: Int -> DeleteProjectResponse -> ShowS # show :: DeleteProjectResponse -> String # showList :: [DeleteProjectResponse] -> ShowS #
NFData DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods rnf :: DeleteProjectResponse -> () #
Eq DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods (==) :: DeleteProjectResponse -> DeleteProjectResponse -> Bool # (/=) :: DeleteProjectResponse -> DeleteProjectResponse -> Bool #
type Rep DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type Rep DeleteProjectResponse = D1 ('MetaData "DeleteProjectResponse" "Amazonka.Rekognition.DeleteProject" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProjectResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteProjectResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteProjectResponse'`
-> DeleteProjectResponse

Create a value of DeleteProjectResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteProjectResponse, deleteProjectResponse_status - The current status of the delete project operation.

$sel:httpStatus:DeleteProjectResponse', deleteProjectResponse_httpStatus - The response's http status code.

DeleteProjectPolicy

data DeleteProjectPolicy Source #

See: newDeleteProjectPolicy smart constructor.

Constructors

DeleteProjectPolicy' (Maybe Text) Text Text

Instances

Instances details

ToJSON DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods toJSON :: DeleteProjectPolicy -> Value # toEncoding :: DeleteProjectPolicy -> Encoding # toJSONList :: [DeleteProjectPolicy] -> Value # toEncodingList :: [DeleteProjectPolicy] -> Encoding #
ToHeaders DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods toHeaders :: DeleteProjectPolicy -> [Header] #
ToPath DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods toPath :: DeleteProjectPolicy -> ByteString #
ToQuery DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods toQuery :: DeleteProjectPolicy -> QueryString #
AWSRequest DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Associated Types type AWSResponse DeleteProjectPolicy # Methods request :: (Service -> Service) -> DeleteProjectPolicy -> Request DeleteProjectPolicy # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteProjectPolicy -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteProjectPolicy))) #
Generic DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Associated Types type Rep DeleteProjectPolicy :: Type -> Type # Methods from :: DeleteProjectPolicy -> Rep DeleteProjectPolicy x # to :: Rep DeleteProjectPolicy x -> DeleteProjectPolicy #
Read DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods readsPrec :: Int -> ReadS DeleteProjectPolicy # readList :: ReadS [DeleteProjectPolicy] # readPrec :: ReadPrec DeleteProjectPolicy # readListPrec :: ReadPrec [DeleteProjectPolicy] #
Show DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods showsPrec :: Int -> DeleteProjectPolicy -> ShowS # show :: DeleteProjectPolicy -> String # showList :: [DeleteProjectPolicy] -> ShowS #
NFData DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods rnf :: DeleteProjectPolicy -> () #
Eq DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods (==) :: DeleteProjectPolicy -> DeleteProjectPolicy -> Bool # (/=) :: DeleteProjectPolicy -> DeleteProjectPolicy -> Bool #
Hashable DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods hashWithSalt :: Int -> DeleteProjectPolicy -> Int # hash :: DeleteProjectPolicy -> Int #
type AWSResponse DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy type AWSResponse DeleteProjectPolicy = DeleteProjectPolicyResponse
type Rep DeleteProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy type Rep DeleteProjectPolicy = D1 ('MetaData "DeleteProjectPolicy" "Amazonka.Rekognition.DeleteProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProjectPolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "policyRevisionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "policyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDeleteProjectPolicy Source #

Arguments

:: Text	`DeleteProjectPolicy`
-> Text	`DeleteProjectPolicy`
-> DeleteProjectPolicy

Create a value of DeleteProjectPolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteProjectPolicy, deleteProjectPolicy_policyRevisionId - The ID of the project policy revision that you want to delete.

DeleteProjectPolicy, deleteProjectPolicy_projectArn - The Amazon Resource Name (ARN) of the project that the project policy you want to delete is attached to.

DeleteProjectPolicy, deleteProjectPolicy_policyName - The name of the policy that you want to delete.

data DeleteProjectPolicyResponse Source #

See: newDeleteProjectPolicyResponse smart constructor.

Constructors

DeleteProjectPolicyResponse' Int

Instances

Instances details

Generic DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Associated Types type Rep DeleteProjectPolicyResponse :: Type -> Type # Methods from :: DeleteProjectPolicyResponse -> Rep DeleteProjectPolicyResponse x # to :: Rep DeleteProjectPolicyResponse x -> DeleteProjectPolicyResponse #
Read DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods readsPrec :: Int -> ReadS DeleteProjectPolicyResponse # readList :: ReadS [DeleteProjectPolicyResponse] # readPrec :: ReadPrec DeleteProjectPolicyResponse # readListPrec :: ReadPrec [DeleteProjectPolicyResponse] #
Show DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods showsPrec :: Int -> DeleteProjectPolicyResponse -> ShowS # show :: DeleteProjectPolicyResponse -> String # showList :: [DeleteProjectPolicyResponse] -> ShowS #
NFData DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods rnf :: DeleteProjectPolicyResponse -> () #
Eq DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy Methods (==) :: DeleteProjectPolicyResponse -> DeleteProjectPolicyResponse -> Bool # (/=) :: DeleteProjectPolicyResponse -> DeleteProjectPolicyResponse -> Bool #
type Rep DeleteProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectPolicy type Rep DeleteProjectPolicyResponse = D1 ('MetaData "DeleteProjectPolicyResponse" "Amazonka.Rekognition.DeleteProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProjectPolicyResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteProjectPolicyResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteProjectPolicyResponse'`
-> DeleteProjectPolicyResponse

Create a value of DeleteProjectPolicyResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:DeleteProjectPolicyResponse', deleteProjectPolicyResponse_httpStatus - The response's http status code.

DeleteProjectVersion

data DeleteProjectVersion Source #

See: newDeleteProjectVersion smart constructor.

Constructors

DeleteProjectVersion' Text

Instances

Instances details

ToJSON DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods toJSON :: DeleteProjectVersion -> Value # toEncoding :: DeleteProjectVersion -> Encoding # toJSONList :: [DeleteProjectVersion] -> Value # toEncodingList :: [DeleteProjectVersion] -> Encoding #
ToHeaders DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods toHeaders :: DeleteProjectVersion -> [Header] #
ToPath DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods toPath :: DeleteProjectVersion -> ByteString #
ToQuery DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods toQuery :: DeleteProjectVersion -> QueryString #
AWSRequest DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Associated Types type AWSResponse DeleteProjectVersion # Methods request :: (Service -> Service) -> DeleteProjectVersion -> Request DeleteProjectVersion # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteProjectVersion))) #
Generic DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Associated Types type Rep DeleteProjectVersion :: Type -> Type # Methods from :: DeleteProjectVersion -> Rep DeleteProjectVersion x # to :: Rep DeleteProjectVersion x -> DeleteProjectVersion #
Read DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods readsPrec :: Int -> ReadS DeleteProjectVersion # readList :: ReadS [DeleteProjectVersion] # readPrec :: ReadPrec DeleteProjectVersion # readListPrec :: ReadPrec [DeleteProjectVersion] #
Show DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods showsPrec :: Int -> DeleteProjectVersion -> ShowS # show :: DeleteProjectVersion -> String # showList :: [DeleteProjectVersion] -> ShowS #
NFData DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods rnf :: DeleteProjectVersion -> () #
Eq DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods (==) :: DeleteProjectVersion -> DeleteProjectVersion -> Bool # (/=) :: DeleteProjectVersion -> DeleteProjectVersion -> Bool #
Hashable DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods hashWithSalt :: Int -> DeleteProjectVersion -> Int # hash :: DeleteProjectVersion -> Int #
type AWSResponse DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type AWSResponse DeleteProjectVersion = DeleteProjectVersionResponse
type Rep DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type Rep DeleteProjectVersion = D1 ('MetaData "DeleteProjectVersion" "Amazonka.Rekognition.DeleteProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteProjectVersion Source #

Arguments

:: Text	`DeleteProjectVersion`
-> DeleteProjectVersion

Create a value of DeleteProjectVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteProjectVersion, deleteProjectVersion_projectVersionArn - The Amazon Resource Name (ARN) of the model version that you want to delete.

data DeleteProjectVersionResponse Source #

See: newDeleteProjectVersionResponse smart constructor.

Constructors

DeleteProjectVersionResponse' (Maybe ProjectVersionStatus) Int

Instances

Instances details

Generic DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Associated Types type Rep DeleteProjectVersionResponse :: Type -> Type # Methods from :: DeleteProjectVersionResponse -> Rep DeleteProjectVersionResponse x # to :: Rep DeleteProjectVersionResponse x -> DeleteProjectVersionResponse #
Read DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods readsPrec :: Int -> ReadS DeleteProjectVersionResponse # readList :: ReadS [DeleteProjectVersionResponse] # readPrec :: ReadPrec DeleteProjectVersionResponse # readListPrec :: ReadPrec [DeleteProjectVersionResponse] #
Show DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods showsPrec :: Int -> DeleteProjectVersionResponse -> ShowS # show :: DeleteProjectVersionResponse -> String # showList :: [DeleteProjectVersionResponse] -> ShowS #
NFData DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods rnf :: DeleteProjectVersionResponse -> () #
Eq DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods (==) :: DeleteProjectVersionResponse -> DeleteProjectVersionResponse -> Bool # (/=) :: DeleteProjectVersionResponse -> DeleteProjectVersionResponse -> Bool #
type Rep DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type Rep DeleteProjectVersionResponse = D1 ('MetaData "DeleteProjectVersionResponse" "Amazonka.Rekognition.DeleteProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteProjectVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteProjectVersionResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteProjectVersionResponse'`
-> DeleteProjectVersionResponse

Create a value of DeleteProjectVersionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteProjectVersionResponse, deleteProjectVersionResponse_status - The status of the deletion operation.

$sel:httpStatus:DeleteProjectVersionResponse', deleteProjectVersionResponse_httpStatus - The response's http status code.

DeleteStreamProcessor

data DeleteStreamProcessor Source #

See: newDeleteStreamProcessor smart constructor.

Constructors

DeleteStreamProcessor' Text

Instances

Instances details

ToJSON DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods toJSON :: DeleteStreamProcessor -> Value # toEncoding :: DeleteStreamProcessor -> Encoding # toJSONList :: [DeleteStreamProcessor] -> Value # toEncodingList :: [DeleteStreamProcessor] -> Encoding #
ToHeaders DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods toHeaders :: DeleteStreamProcessor -> [Header] #
ToPath DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods toPath :: DeleteStreamProcessor -> ByteString #
ToQuery DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods toQuery :: DeleteStreamProcessor -> QueryString #
AWSRequest DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Associated Types type AWSResponse DeleteStreamProcessor # Methods request :: (Service -> Service) -> DeleteStreamProcessor -> Request DeleteStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteStreamProcessor))) #
Generic DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Associated Types type Rep DeleteStreamProcessor :: Type -> Type # Methods from :: DeleteStreamProcessor -> Rep DeleteStreamProcessor x # to :: Rep DeleteStreamProcessor x -> DeleteStreamProcessor #
Read DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods readsPrec :: Int -> ReadS DeleteStreamProcessor # readList :: ReadS [DeleteStreamProcessor] # readPrec :: ReadPrec DeleteStreamProcessor # readListPrec :: ReadPrec [DeleteStreamProcessor] #
Show DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods showsPrec :: Int -> DeleteStreamProcessor -> ShowS # show :: DeleteStreamProcessor -> String # showList :: [DeleteStreamProcessor] -> ShowS #
NFData DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods rnf :: DeleteStreamProcessor -> () #
Eq DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods (==) :: DeleteStreamProcessor -> DeleteStreamProcessor -> Bool # (/=) :: DeleteStreamProcessor -> DeleteStreamProcessor -> Bool #
Hashable DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods hashWithSalt :: Int -> DeleteStreamProcessor -> Int # hash :: DeleteStreamProcessor -> Int #
type AWSResponse DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type AWSResponse DeleteStreamProcessor = DeleteStreamProcessorResponse
type Rep DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type Rep DeleteStreamProcessor = D1 ('MetaData "DeleteStreamProcessor" "Amazonka.Rekognition.DeleteStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteStreamProcessor Source #

Arguments

:: Text	`DeleteStreamProcessor`
-> DeleteStreamProcessor

Create a value of DeleteStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteStreamProcessor, deleteStreamProcessor_name - The name of the stream processor you want to delete.

data DeleteStreamProcessorResponse Source #

See: newDeleteStreamProcessorResponse smart constructor.

Constructors

DeleteStreamProcessorResponse' Int

Instances

Instances details

Generic DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Associated Types type Rep DeleteStreamProcessorResponse :: Type -> Type # Methods from :: DeleteStreamProcessorResponse -> Rep DeleteStreamProcessorResponse x # to :: Rep DeleteStreamProcessorResponse x -> DeleteStreamProcessorResponse #
Read DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods readsPrec :: Int -> ReadS DeleteStreamProcessorResponse # readList :: ReadS [DeleteStreamProcessorResponse] # readPrec :: ReadPrec DeleteStreamProcessorResponse # readListPrec :: ReadPrec [DeleteStreamProcessorResponse] #
Show DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods showsPrec :: Int -> DeleteStreamProcessorResponse -> ShowS # show :: DeleteStreamProcessorResponse -> String # showList :: [DeleteStreamProcessorResponse] -> ShowS #
NFData DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods rnf :: DeleteStreamProcessorResponse -> () #
Eq DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods (==) :: DeleteStreamProcessorResponse -> DeleteStreamProcessorResponse -> Bool # (/=) :: DeleteStreamProcessorResponse -> DeleteStreamProcessorResponse -> Bool #
type Rep DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type Rep DeleteStreamProcessorResponse = D1 ('MetaData "DeleteStreamProcessorResponse" "Amazonka.Rekognition.DeleteStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DeleteStreamProcessorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DeleteStreamProcessorResponse'`
-> DeleteStreamProcessorResponse

Create a value of DeleteStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:DeleteStreamProcessorResponse', deleteStreamProcessorResponse_httpStatus - The response's http status code.

DescribeCollection

data DescribeCollection Source #

See: newDescribeCollection smart constructor.

Constructors

DescribeCollection' Text

Instances

Instances details

ToJSON DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods toJSON :: DescribeCollection -> Value # toEncoding :: DescribeCollection -> Encoding # toJSONList :: [DescribeCollection] -> Value # toEncodingList :: [DescribeCollection] -> Encoding #
ToHeaders DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods toHeaders :: DescribeCollection -> [Header] #
ToPath DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods toPath :: DescribeCollection -> ByteString #
ToQuery DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods toQuery :: DescribeCollection -> QueryString #
AWSRequest DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Associated Types type AWSResponse DescribeCollection # Methods request :: (Service -> Service) -> DescribeCollection -> Request DescribeCollection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeCollection))) #
Generic DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Associated Types type Rep DescribeCollection :: Type -> Type # Methods from :: DescribeCollection -> Rep DescribeCollection x # to :: Rep DescribeCollection x -> DescribeCollection #
Read DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods readsPrec :: Int -> ReadS DescribeCollection # readList :: ReadS [DescribeCollection] # readPrec :: ReadPrec DescribeCollection # readListPrec :: ReadPrec [DescribeCollection] #
Show DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods showsPrec :: Int -> DescribeCollection -> ShowS # show :: DescribeCollection -> String # showList :: [DescribeCollection] -> ShowS #
NFData DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods rnf :: DescribeCollection -> () #
Eq DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods (==) :: DescribeCollection -> DescribeCollection -> Bool # (/=) :: DescribeCollection -> DescribeCollection -> Bool #
Hashable DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods hashWithSalt :: Int -> DescribeCollection -> Int # hash :: DescribeCollection -> Int #
type AWSResponse DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type AWSResponse DescribeCollection = DescribeCollectionResponse
type Rep DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type Rep DescribeCollection = D1 ('MetaData "DescribeCollection" "Amazonka.Rekognition.DescribeCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeCollection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeCollection Source #

Arguments

:: Text	`DescribeCollection`
-> DescribeCollection

Create a value of DescribeCollection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeCollection, describeCollection_collectionId - The ID of the collection to describe.

data DescribeCollectionResponse Source #

See: newDescribeCollectionResponse smart constructor.

Constructors

DescribeCollectionResponse' (Maybe Text) (Maybe POSIX) (Maybe Natural) (Maybe Text) Int

Instances

Instances details

Generic DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Associated Types type Rep DescribeCollectionResponse :: Type -> Type # Methods from :: DescribeCollectionResponse -> Rep DescribeCollectionResponse x # to :: Rep DescribeCollectionResponse x -> DescribeCollectionResponse #
Read DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods readsPrec :: Int -> ReadS DescribeCollectionResponse # readList :: ReadS [DescribeCollectionResponse] # readPrec :: ReadPrec DescribeCollectionResponse # readListPrec :: ReadPrec [DescribeCollectionResponse] #
Show DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods showsPrec :: Int -> DescribeCollectionResponse -> ShowS # show :: DescribeCollectionResponse -> String # showList :: [DescribeCollectionResponse] -> ShowS #
NFData DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods rnf :: DescribeCollectionResponse -> () #
Eq DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods (==) :: DescribeCollectionResponse -> DescribeCollectionResponse -> Bool # (/=) :: DescribeCollectionResponse -> DescribeCollectionResponse -> Bool #
type Rep DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type Rep DescribeCollectionResponse = D1 ('MetaData "DescribeCollectionResponse" "Amazonka.Rekognition.DescribeCollection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeCollectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "collectionARN") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "faceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newDescribeCollectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeCollectionResponse'`
-> DescribeCollectionResponse

Create a value of DescribeCollectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionARN:DescribeCollectionResponse', describeCollectionResponse_collectionARN - The Amazon Resource Name (ARN) of the collection.

DescribeCollectionResponse, describeCollectionResponse_creationTimestamp - The number of milliseconds since the Unix epoch time until the creation of the collection. The Unix epoch time is 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970.

$sel:faceCount:DescribeCollectionResponse', describeCollectionResponse_faceCount - The number of faces that are indexed into the collection. To index faces into a collection, use IndexFaces.

$sel:faceModelVersion:DescribeCollectionResponse', describeCollectionResponse_faceModelVersion - The version of the face model that's used by the collection for face detection.

For more information, see Model versioning in the Amazon Rekognition Developer Guide.

$sel:httpStatus:DescribeCollectionResponse', describeCollectionResponse_httpStatus - The response's http status code.

DescribeDataset

data DescribeDataset Source #

See: newDescribeDataset smart constructor.

Constructors

DescribeDataset' Text

Instances

Instances details

ToJSON DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods toJSON :: DescribeDataset -> Value # toEncoding :: DescribeDataset -> Encoding # toJSONList :: [DescribeDataset] -> Value # toEncodingList :: [DescribeDataset] -> Encoding #
ToHeaders DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods toHeaders :: DescribeDataset -> [Header] #
ToPath DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods toPath :: DescribeDataset -> ByteString #
ToQuery DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods toQuery :: DescribeDataset -> QueryString #
AWSRequest DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Associated Types type AWSResponse DescribeDataset # Methods request :: (Service -> Service) -> DescribeDataset -> Request DescribeDataset # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeDataset -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeDataset))) #
Generic DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Associated Types type Rep DescribeDataset :: Type -> Type # Methods from :: DescribeDataset -> Rep DescribeDataset x # to :: Rep DescribeDataset x -> DescribeDataset #
Read DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods readsPrec :: Int -> ReadS DescribeDataset # readList :: ReadS [DescribeDataset] # readPrec :: ReadPrec DescribeDataset # readListPrec :: ReadPrec [DescribeDataset] #
Show DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods showsPrec :: Int -> DescribeDataset -> ShowS # show :: DescribeDataset -> String # showList :: [DescribeDataset] -> ShowS #
NFData DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods rnf :: DescribeDataset -> () #
Eq DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods (==) :: DescribeDataset -> DescribeDataset -> Bool # (/=) :: DescribeDataset -> DescribeDataset -> Bool #
Hashable DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods hashWithSalt :: Int -> DescribeDataset -> Int # hash :: DescribeDataset -> Int #
type AWSResponse DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset type AWSResponse DescribeDataset = DescribeDatasetResponse
type Rep DescribeDataset Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset type Rep DescribeDataset = D1 ('MetaData "DescribeDataset" "Amazonka.Rekognition.DescribeDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeDataset Source #

Arguments

:: Text	`DescribeDataset`
-> DescribeDataset

Create a value of DescribeDataset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeDataset, describeDataset_datasetArn - The Amazon Resource Name (ARN) of the dataset that you want to describe.

data DescribeDatasetResponse Source #

See: newDescribeDatasetResponse smart constructor.

Constructors

DescribeDatasetResponse' (Maybe DatasetDescription) Int

Instances

Instances details

Generic DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Associated Types type Rep DescribeDatasetResponse :: Type -> Type # Methods from :: DescribeDatasetResponse -> Rep DescribeDatasetResponse x # to :: Rep DescribeDatasetResponse x -> DescribeDatasetResponse #
Read DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods readsPrec :: Int -> ReadS DescribeDatasetResponse # readList :: ReadS [DescribeDatasetResponse] # readPrec :: ReadPrec DescribeDatasetResponse # readListPrec :: ReadPrec [DescribeDatasetResponse] #
Show DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods showsPrec :: Int -> DescribeDatasetResponse -> ShowS # show :: DescribeDatasetResponse -> String # showList :: [DescribeDatasetResponse] -> ShowS #
NFData DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods rnf :: DescribeDatasetResponse -> () #
Eq DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset Methods (==) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool # (/=) :: DescribeDatasetResponse -> DescribeDatasetResponse -> Bool #
type Rep DescribeDatasetResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeDataset type Rep DescribeDatasetResponse = D1 ('MetaData "DescribeDatasetResponse" "Amazonka.Rekognition.DescribeDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeDatasetResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetDescription)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDescribeDatasetResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeDatasetResponse'`
-> DescribeDatasetResponse

Create a value of DescribeDatasetResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetDescription:DescribeDatasetResponse', describeDatasetResponse_datasetDescription - The description for the dataset.

$sel:httpStatus:DescribeDatasetResponse', describeDatasetResponse_httpStatus - The response's http status code.

DescribeProjectVersions (Paginated)

data DescribeProjectVersions Source #

See: newDescribeProjectVersions smart constructor.

Constructors

DescribeProjectVersions' (Maybe Natural) (Maybe Text) (Maybe (NonEmpty Text)) Text

Instances

Instances details

ToJSON DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods toJSON :: DescribeProjectVersions -> Value # toEncoding :: DescribeProjectVersions -> Encoding # toJSONList :: [DescribeProjectVersions] -> Value # toEncodingList :: [DescribeProjectVersions] -> Encoding #
ToHeaders DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods toHeaders :: DescribeProjectVersions -> [Header] #
ToPath DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods toPath :: DescribeProjectVersions -> ByteString #
ToQuery DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods toQuery :: DescribeProjectVersions -> QueryString #
AWSPager DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods page :: DescribeProjectVersions -> AWSResponse DescribeProjectVersions -> Maybe DescribeProjectVersions #
AWSRequest DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Associated Types type AWSResponse DescribeProjectVersions # Methods request :: (Service -> Service) -> DescribeProjectVersions -> Request DescribeProjectVersions # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeProjectVersions -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeProjectVersions))) #
Generic DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Associated Types type Rep DescribeProjectVersions :: Type -> Type # Methods from :: DescribeProjectVersions -> Rep DescribeProjectVersions x # to :: Rep DescribeProjectVersions x -> DescribeProjectVersions #
Read DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods readsPrec :: Int -> ReadS DescribeProjectVersions # readList :: ReadS [DescribeProjectVersions] # readPrec :: ReadPrec DescribeProjectVersions # readListPrec :: ReadPrec [DescribeProjectVersions] #
Show DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods showsPrec :: Int -> DescribeProjectVersions -> ShowS # show :: DescribeProjectVersions -> String # showList :: [DescribeProjectVersions] -> ShowS #
NFData DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods rnf :: DescribeProjectVersions -> () #
Eq DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods (==) :: DescribeProjectVersions -> DescribeProjectVersions -> Bool # (/=) :: DescribeProjectVersions -> DescribeProjectVersions -> Bool #
Hashable DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods hashWithSalt :: Int -> DescribeProjectVersions -> Int # hash :: DescribeProjectVersions -> Int #
type AWSResponse DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type AWSResponse DescribeProjectVersions = DescribeProjectVersionsResponse
type Rep DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type Rep DescribeProjectVersions = D1 ('MetaData "DescribeProjectVersions" "Amazonka.Rekognition.DescribeProjectVersions" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeProjectVersions'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "versionNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDescribeProjectVersions Source #

Arguments

:: Text	`DescribeProjectVersions`
-> DescribeProjectVersions

Create a value of DescribeProjectVersions with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:DescribeProjectVersions', describeProjectVersions_maxResults - The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

DescribeProjectVersions, describeProjectVersions_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:versionNames:DescribeProjectVersions', describeProjectVersions_versionNames - A list of model version names that you want to describe. You can add up to 10 model version names to the list. If you don't specify a value, all model descriptions are returned. A version name is part of a model (ProjectVersion) ARN. For example, my-model.2020-01-21T09.10.15 is the version name in the following ARN. arn:aws:rekognition:us-east-1:123456789012:project/getting-started/version/my-model.2020-01-21T09.10.15/1234567890123.

DescribeProjectVersions, describeProjectVersions_projectArn - The Amazon Resource Name (ARN) of the project that contains the models you want to describe.

data DescribeProjectVersionsResponse Source #

See: newDescribeProjectVersionsResponse smart constructor.

Constructors

DescribeProjectVersionsResponse' (Maybe Text) (Maybe [ProjectVersionDescription]) Int

Instances

Instances details

Generic DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Associated Types type Rep DescribeProjectVersionsResponse :: Type -> Type # Methods from :: DescribeProjectVersionsResponse -> Rep DescribeProjectVersionsResponse x # to :: Rep DescribeProjectVersionsResponse x -> DescribeProjectVersionsResponse #
Read DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods readsPrec :: Int -> ReadS DescribeProjectVersionsResponse # readList :: ReadS [DescribeProjectVersionsResponse] # readPrec :: ReadPrec DescribeProjectVersionsResponse # readListPrec :: ReadPrec [DescribeProjectVersionsResponse] #
Show DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods showsPrec :: Int -> DescribeProjectVersionsResponse -> ShowS # show :: DescribeProjectVersionsResponse -> String # showList :: [DescribeProjectVersionsResponse] -> ShowS #
NFData DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods rnf :: DescribeProjectVersionsResponse -> () #
Eq DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods (==) :: DescribeProjectVersionsResponse -> DescribeProjectVersionsResponse -> Bool # (/=) :: DescribeProjectVersionsResponse -> DescribeProjectVersionsResponse -> Bool #
type Rep DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type Rep DescribeProjectVersionsResponse = D1 ('MetaData "DescribeProjectVersionsResponse" "Amazonka.Rekognition.DescribeProjectVersions" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeProjectVersionsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectVersionDescriptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProjectVersionDescription])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDescribeProjectVersionsResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeProjectVersionsResponse'`
-> DescribeProjectVersionsResponse

Create a value of DescribeProjectVersionsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeProjectVersions, describeProjectVersionsResponse_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:projectVersionDescriptions:DescribeProjectVersionsResponse', describeProjectVersionsResponse_projectVersionDescriptions - A list of model descriptions. The list is sorted by the creation date and time of the model versions, latest to earliest.

$sel:httpStatus:DescribeProjectVersionsResponse', describeProjectVersionsResponse_httpStatus - The response's http status code.

DescribeProjects (Paginated)

data DescribeProjects Source #

See: newDescribeProjects smart constructor.

Constructors

DescribeProjects' (Maybe Natural) (Maybe Text) (Maybe (NonEmpty Text))

Instances

Instances details

ToJSON DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods toJSON :: DescribeProjects -> Value # toEncoding :: DescribeProjects -> Encoding # toJSONList :: [DescribeProjects] -> Value # toEncodingList :: [DescribeProjects] -> Encoding #
ToHeaders DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods toHeaders :: DescribeProjects -> [Header] #
ToPath DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods toPath :: DescribeProjects -> ByteString #
ToQuery DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods toQuery :: DescribeProjects -> QueryString #
AWSPager DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods page :: DescribeProjects -> AWSResponse DescribeProjects -> Maybe DescribeProjects #
AWSRequest DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Associated Types type AWSResponse DescribeProjects # Methods request :: (Service -> Service) -> DescribeProjects -> Request DescribeProjects # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeProjects -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeProjects))) #
Generic DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Associated Types type Rep DescribeProjects :: Type -> Type # Methods from :: DescribeProjects -> Rep DescribeProjects x # to :: Rep DescribeProjects x -> DescribeProjects #
Read DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods readsPrec :: Int -> ReadS DescribeProjects # readList :: ReadS [DescribeProjects] # readPrec :: ReadPrec DescribeProjects # readListPrec :: ReadPrec [DescribeProjects] #
Show DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods showsPrec :: Int -> DescribeProjects -> ShowS # show :: DescribeProjects -> String # showList :: [DescribeProjects] -> ShowS #
NFData DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods rnf :: DescribeProjects -> () #
Eq DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods (==) :: DescribeProjects -> DescribeProjects -> Bool # (/=) :: DescribeProjects -> DescribeProjects -> Bool #
Hashable DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods hashWithSalt :: Int -> DescribeProjects -> Int # hash :: DescribeProjects -> Int #
type AWSResponse DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type AWSResponse DescribeProjects = DescribeProjectsResponse
type Rep DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type Rep DescribeProjects = D1 ('MetaData "DescribeProjects" "Amazonka.Rekognition.DescribeProjects" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeProjects'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "projectNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))))))

newDescribeProjects :: DescribeProjects Source #

Create a value of DescribeProjects with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:DescribeProjects', describeProjects_maxResults - The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

DescribeProjects, describeProjects_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:projectNames:DescribeProjects', describeProjects_projectNames - A list of the projects that you want Amazon Rekognition Custom Labels to describe. If you don't specify a value, the response includes descriptions for all the projects in your AWS account.

data DescribeProjectsResponse Source #

See: newDescribeProjectsResponse smart constructor.

Constructors

DescribeProjectsResponse' (Maybe Text) (Maybe [ProjectDescription]) Int

Instances

Instances details

Generic DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Associated Types type Rep DescribeProjectsResponse :: Type -> Type # Methods from :: DescribeProjectsResponse -> Rep DescribeProjectsResponse x # to :: Rep DescribeProjectsResponse x -> DescribeProjectsResponse #
Read DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods readsPrec :: Int -> ReadS DescribeProjectsResponse # readList :: ReadS [DescribeProjectsResponse] # readPrec :: ReadPrec DescribeProjectsResponse # readListPrec :: ReadPrec [DescribeProjectsResponse] #
Show DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods showsPrec :: Int -> DescribeProjectsResponse -> ShowS # show :: DescribeProjectsResponse -> String # showList :: [DescribeProjectsResponse] -> ShowS #
NFData DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods rnf :: DescribeProjectsResponse -> () #
Eq DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods (==) :: DescribeProjectsResponse -> DescribeProjectsResponse -> Bool # (/=) :: DescribeProjectsResponse -> DescribeProjectsResponse -> Bool #
type Rep DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type Rep DescribeProjectsResponse = D1 ('MetaData "DescribeProjectsResponse" "Amazonka.Rekognition.DescribeProjects" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeProjectsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectDescriptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProjectDescription])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDescribeProjectsResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeProjectsResponse'`
-> DescribeProjectsResponse

Create a value of DescribeProjectsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeProjects, describeProjectsResponse_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:projectDescriptions:DescribeProjectsResponse', describeProjectsResponse_projectDescriptions - A list of project descriptions. The list is sorted by the date and time the projects are created.

$sel:httpStatus:DescribeProjectsResponse', describeProjectsResponse_httpStatus - The response's http status code.

DescribeStreamProcessor

data DescribeStreamProcessor Source #

See: newDescribeStreamProcessor smart constructor.

Constructors

DescribeStreamProcessor' Text

Instances

Instances details

ToJSON DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods toJSON :: DescribeStreamProcessor -> Value # toEncoding :: DescribeStreamProcessor -> Encoding # toJSONList :: [DescribeStreamProcessor] -> Value # toEncodingList :: [DescribeStreamProcessor] -> Encoding #
ToHeaders DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods toHeaders :: DescribeStreamProcessor -> [Header] #
ToPath DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods toPath :: DescribeStreamProcessor -> ByteString #
ToQuery DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods toQuery :: DescribeStreamProcessor -> QueryString #
AWSRequest DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Associated Types type AWSResponse DescribeStreamProcessor # Methods request :: (Service -> Service) -> DescribeStreamProcessor -> Request DescribeStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DescribeStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeStreamProcessor))) #
Generic DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Associated Types type Rep DescribeStreamProcessor :: Type -> Type # Methods from :: DescribeStreamProcessor -> Rep DescribeStreamProcessor x # to :: Rep DescribeStreamProcessor x -> DescribeStreamProcessor #
Read DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods readsPrec :: Int -> ReadS DescribeStreamProcessor # readList :: ReadS [DescribeStreamProcessor] # readPrec :: ReadPrec DescribeStreamProcessor # readListPrec :: ReadPrec [DescribeStreamProcessor] #
Show DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods showsPrec :: Int -> DescribeStreamProcessor -> ShowS # show :: DescribeStreamProcessor -> String # showList :: [DescribeStreamProcessor] -> ShowS #
NFData DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods rnf :: DescribeStreamProcessor -> () #
Eq DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods (==) :: DescribeStreamProcessor -> DescribeStreamProcessor -> Bool # (/=) :: DescribeStreamProcessor -> DescribeStreamProcessor -> Bool #
Hashable DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods hashWithSalt :: Int -> DescribeStreamProcessor -> Int # hash :: DescribeStreamProcessor -> Int #
type AWSResponse DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type AWSResponse DescribeStreamProcessor = DescribeStreamProcessorResponse
type Rep DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type Rep DescribeStreamProcessor = D1 ('MetaData "DescribeStreamProcessor" "Amazonka.Rekognition.DescribeStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDescribeStreamProcessor Source #

Arguments

:: Text	`DescribeStreamProcessor`
-> DescribeStreamProcessor

Create a value of DescribeStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeStreamProcessor, describeStreamProcessor_name - Name of the stream processor for which you want information.

data DescribeStreamProcessorResponse Source #

See: newDescribeStreamProcessorResponse smart constructor.

Instances

Instances details

Generic DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Associated Types type Rep DescribeStreamProcessorResponse :: Type -> Type # Methods from :: DescribeStreamProcessorResponse -> Rep DescribeStreamProcessorResponse x # to :: Rep DescribeStreamProcessorResponse x -> DescribeStreamProcessorResponse #
Read DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods readsPrec :: Int -> ReadS DescribeStreamProcessorResponse # readList :: ReadS [DescribeStreamProcessorResponse] # readPrec :: ReadPrec DescribeStreamProcessorResponse # readListPrec :: ReadPrec [DescribeStreamProcessorResponse] #
Show DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods showsPrec :: Int -> DescribeStreamProcessorResponse -> ShowS # show :: DescribeStreamProcessorResponse -> String # showList :: [DescribeStreamProcessorResponse] -> ShowS #
NFData DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods rnf :: DescribeStreamProcessorResponse -> () #
Eq DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods (==) :: DescribeStreamProcessorResponse -> DescribeStreamProcessorResponse -> Bool # (/=) :: DescribeStreamProcessorResponse -> DescribeStreamProcessorResponse -> Bool #
type Rep DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type Rep DescribeStreamProcessorResponse = D1 ('MetaData "DescribeStreamProcessorResponse" "Amazonka.Rekognition.DescribeStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DescribeStreamProcessorResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "dataSharingPreference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorDataSharingPreference)) :: S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorInput)))) :: ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdateTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorNotificationChannel))))) :: (((S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorOutput)) :: S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest]))) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "settings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorSettings)))) :: ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorStatus)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "streamProcessorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))))

newDescribeStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribeStreamProcessorResponse'`
-> DescribeStreamProcessorResponse

Create a value of DescribeStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DescribeStreamProcessorResponse, describeStreamProcessorResponse_creationTimestamp - Date and time the stream processor was created

$sel:dataSharingPreference:DescribeStreamProcessorResponse', describeStreamProcessorResponse_dataSharingPreference - Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_input - Kinesis video stream that provides the source streaming video.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_kmsKeyId - The identifier for your AWS Key Management Service key (AWS KMS key). This is an optional parameter for label detection stream processors.

$sel:lastUpdateTimestamp:DescribeStreamProcessorResponse', describeStreamProcessorResponse_lastUpdateTimestamp - The time, in Unix format, the stream processor was last updated. For example, when the stream processor moves from a running state to a failed state, or when the user starts or stops the stream processor.

DescribeStreamProcessor, describeStreamProcessorResponse_name - Name of the stream processor.

$sel:notificationChannel:DescribeStreamProcessorResponse', describeStreamProcessorResponse_notificationChannel - Undocumented member.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_output - Kinesis data stream to which Amazon Rekognition Video puts the analysis results.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_regionsOfInterest - Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_roleArn - ARN of the IAM role that allows access to the stream processor.

$sel:settings:DescribeStreamProcessorResponse', describeStreamProcessorResponse_settings - Input parameters used in a streaming video analyzed by a stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_status - Current status of the stream processor.

DescribeStreamProcessorResponse, describeStreamProcessorResponse_statusMessage - Detailed status message about the stream processor.

$sel:streamProcessorArn:DescribeStreamProcessorResponse', describeStreamProcessorResponse_streamProcessorArn - ARN of the stream processor.

$sel:httpStatus:DescribeStreamProcessorResponse', describeStreamProcessorResponse_httpStatus - The response's http status code.

DetectCustomLabels

data DetectCustomLabels Source #

See: newDetectCustomLabels smart constructor.

Constructors

DetectCustomLabels' (Maybe Natural) (Maybe Double) Text Image

Instances

Instances details

ToJSON DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods toJSON :: DetectCustomLabels -> Value # toEncoding :: DetectCustomLabels -> Encoding # toJSONList :: [DetectCustomLabels] -> Value # toEncodingList :: [DetectCustomLabels] -> Encoding #
ToHeaders DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods toHeaders :: DetectCustomLabels -> [Header] #
ToPath DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods toPath :: DetectCustomLabels -> ByteString #
ToQuery DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods toQuery :: DetectCustomLabels -> QueryString #
AWSRequest DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Associated Types type AWSResponse DetectCustomLabels # Methods request :: (Service -> Service) -> DetectCustomLabels -> Request DetectCustomLabels # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectCustomLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectCustomLabels))) #
Generic DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Associated Types type Rep DetectCustomLabels :: Type -> Type # Methods from :: DetectCustomLabels -> Rep DetectCustomLabels x # to :: Rep DetectCustomLabels x -> DetectCustomLabels #
Read DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods readsPrec :: Int -> ReadS DetectCustomLabels # readList :: ReadS [DetectCustomLabels] # readPrec :: ReadPrec DetectCustomLabels # readListPrec :: ReadPrec [DetectCustomLabels] #
Show DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods showsPrec :: Int -> DetectCustomLabels -> ShowS # show :: DetectCustomLabels -> String # showList :: [DetectCustomLabels] -> ShowS #
NFData DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods rnf :: DetectCustomLabels -> () #
Eq DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods (==) :: DetectCustomLabels -> DetectCustomLabels -> Bool # (/=) :: DetectCustomLabels -> DetectCustomLabels -> Bool #
Hashable DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods hashWithSalt :: Int -> DetectCustomLabels -> Int # hash :: DetectCustomLabels -> Int #
type AWSResponse DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type AWSResponse DetectCustomLabels = DetectCustomLabelsResponse
type Rep DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type Rep DetectCustomLabels = D1 ('MetaData "DetectCustomLabels" "Amazonka.Rekognition.DetectCustomLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectCustomLabels'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image))))

newDetectCustomLabels Source #

Arguments

:: Text	`DetectCustomLabels`
-> Image	`$sel:image:DetectCustomLabels'`
-> DetectCustomLabels

Create a value of DetectCustomLabels with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:DetectCustomLabels', detectCustomLabels_maxResults - Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.

DetectCustomLabels, detectCustomLabels_minConfidence - Specifies the minimum confidence level for the labels to return. DetectCustomLabels doesn't return any labels with a confidence value that's lower than this specified value. If you specify a value of 0, DetectCustomLabels returns all labels, regardless of the assumed threshold applied to each label. If you don't specify a value for MinConfidence, DetectCustomLabels returns labels based on the assumed threshold of each label.

DetectCustomLabels, detectCustomLabels_projectVersionArn - The ARN of the model version that you want to use.

$sel:image:DetectCustomLabels', detectCustomLabels_image - Undocumented member.

data DetectCustomLabelsResponse Source #

See: newDetectCustomLabelsResponse smart constructor.

Constructors

DetectCustomLabelsResponse' (Maybe [CustomLabel]) Int

Instances

Instances details

Generic DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Associated Types type Rep DetectCustomLabelsResponse :: Type -> Type # Methods from :: DetectCustomLabelsResponse -> Rep DetectCustomLabelsResponse x # to :: Rep DetectCustomLabelsResponse x -> DetectCustomLabelsResponse #
Read DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods readsPrec :: Int -> ReadS DetectCustomLabelsResponse # readList :: ReadS [DetectCustomLabelsResponse] # readPrec :: ReadPrec DetectCustomLabelsResponse # readListPrec :: ReadPrec [DetectCustomLabelsResponse] #
Show DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods showsPrec :: Int -> DetectCustomLabelsResponse -> ShowS # show :: DetectCustomLabelsResponse -> String # showList :: [DetectCustomLabelsResponse] -> ShowS #
NFData DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods rnf :: DetectCustomLabelsResponse -> () #
Eq DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods (==) :: DetectCustomLabelsResponse -> DetectCustomLabelsResponse -> Bool # (/=) :: DetectCustomLabelsResponse -> DetectCustomLabelsResponse -> Bool #
type Rep DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type Rep DetectCustomLabelsResponse = D1 ('MetaData "DetectCustomLabelsResponse" "Amazonka.Rekognition.DetectCustomLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectCustomLabelsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "customLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CustomLabel])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDetectCustomLabelsResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectCustomLabelsResponse'`
-> DetectCustomLabelsResponse

Create a value of DetectCustomLabelsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:customLabels:DetectCustomLabelsResponse', detectCustomLabelsResponse_customLabels - An array of custom labels detected in the input image.

$sel:httpStatus:DetectCustomLabelsResponse', detectCustomLabelsResponse_httpStatus - The response's http status code.

DetectFaces

data DetectFaces Source #

See: newDetectFaces smart constructor.

Constructors

DetectFaces' (Maybe [Attribute]) Image

Instances

Instances details

ToJSON DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods toJSON :: DetectFaces -> Value # toEncoding :: DetectFaces -> Encoding # toJSONList :: [DetectFaces] -> Value # toEncodingList :: [DetectFaces] -> Encoding #
ToHeaders DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods toHeaders :: DetectFaces -> [Header] #
ToPath DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods toPath :: DetectFaces -> ByteString #
ToQuery DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods toQuery :: DetectFaces -> QueryString #
AWSRequest DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Associated Types type AWSResponse DetectFaces # Methods request :: (Service -> Service) -> DetectFaces -> Request DetectFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectFaces))) #
Generic DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Associated Types type Rep DetectFaces :: Type -> Type # Methods from :: DetectFaces -> Rep DetectFaces x # to :: Rep DetectFaces x -> DetectFaces #
Read DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods readsPrec :: Int -> ReadS DetectFaces # readList :: ReadS [DetectFaces] # readPrec :: ReadPrec DetectFaces # readListPrec :: ReadPrec [DetectFaces] #
Show DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods showsPrec :: Int -> DetectFaces -> ShowS # show :: DetectFaces -> String # showList :: [DetectFaces] -> ShowS #
NFData DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods rnf :: DetectFaces -> () #
Eq DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods (==) :: DetectFaces -> DetectFaces -> Bool # (/=) :: DetectFaces -> DetectFaces -> Bool #
Hashable DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods hashWithSalt :: Int -> DetectFaces -> Int # hash :: DetectFaces -> Int #
type AWSResponse DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type AWSResponse DetectFaces = DetectFacesResponse
type Rep DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type Rep DetectFaces = D1 ('MetaData "DetectFaces" "Amazonka.Rekognition.DetectFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectFaces'" 'PrefixI 'True) (S1 ('MetaSel ('Just "attributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Attribute])) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))

newDetectFaces Source #

Arguments

:: Image	`$sel:image:DetectFaces'`
-> DetectFaces

Create a value of DetectFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:attributes:DetectFaces', detectFaces_attributes - An array of facial attributes you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.

If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).

$sel:image:DetectFaces', detectFaces_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data DetectFacesResponse Source #

See: newDetectFacesResponse smart constructor.

Constructors

DetectFacesResponse' (Maybe [FaceDetail]) (Maybe OrientationCorrection) Int

Instances

Instances details

Generic DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Associated Types type Rep DetectFacesResponse :: Type -> Type # Methods from :: DetectFacesResponse -> Rep DetectFacesResponse x # to :: Rep DetectFacesResponse x -> DetectFacesResponse #
Read DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods readsPrec :: Int -> ReadS DetectFacesResponse # readList :: ReadS [DetectFacesResponse] # readPrec :: ReadPrec DetectFacesResponse # readListPrec :: ReadPrec [DetectFacesResponse] #
Show DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods showsPrec :: Int -> DetectFacesResponse -> ShowS # show :: DetectFacesResponse -> String # showList :: [DetectFacesResponse] -> ShowS #
NFData DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods rnf :: DetectFacesResponse -> () #
Eq DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods (==) :: DetectFacesResponse -> DetectFacesResponse -> Bool # (/=) :: DetectFacesResponse -> DetectFacesResponse -> Bool #
type Rep DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type Rep DetectFacesResponse = D1 ('MetaData "DetectFacesResponse" "Amazonka.Rekognition.DetectFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectFacesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceDetail])) :: (S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDetectFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectFacesResponse'`
-> DetectFacesResponse

Create a value of DetectFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faceDetails:DetectFacesResponse', detectFacesResponse_faceDetails - Details of each face found in the image.

$sel:orientationCorrection:DetectFacesResponse', detectFacesResponse_orientationCorrection - The value of OrientationCorrection is always null.

If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.

Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.

$sel:httpStatus:DetectFacesResponse', detectFacesResponse_httpStatus - The response's http status code.

DetectLabels

data DetectLabels Source #

See: newDetectLabels smart constructor.

Constructors

DetectLabels' (Maybe [DetectLabelsFeatureName]) (Maybe Natural) (Maybe Double) (Maybe DetectLabelsSettings) Image

Instances

Instances details

ToJSON DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods toJSON :: DetectLabels -> Value # toEncoding :: DetectLabels -> Encoding # toJSONList :: [DetectLabels] -> Value # toEncodingList :: [DetectLabels] -> Encoding #
ToHeaders DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods toHeaders :: DetectLabels -> [Header] #
ToPath DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods toPath :: DetectLabels -> ByteString #
ToQuery DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods toQuery :: DetectLabels -> QueryString #
AWSRequest DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Associated Types type AWSResponse DetectLabels # Methods request :: (Service -> Service) -> DetectLabels -> Request DetectLabels # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectLabels))) #
Generic DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Associated Types type Rep DetectLabels :: Type -> Type # Methods from :: DetectLabels -> Rep DetectLabels x # to :: Rep DetectLabels x -> DetectLabels #
Read DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods readsPrec :: Int -> ReadS DetectLabels # readList :: ReadS [DetectLabels] # readPrec :: ReadPrec DetectLabels # readListPrec :: ReadPrec [DetectLabels] #
Show DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods showsPrec :: Int -> DetectLabels -> ShowS # show :: DetectLabels -> String # showList :: [DetectLabels] -> ShowS #
NFData DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods rnf :: DetectLabels -> () #
Eq DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods (==) :: DetectLabels -> DetectLabels -> Bool # (/=) :: DetectLabels -> DetectLabels -> Bool #
Hashable DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods hashWithSalt :: Int -> DetectLabels -> Int # hash :: DetectLabels -> Int #
type AWSResponse DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type AWSResponse DetectLabels = DetectLabelsResponse
type Rep DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type Rep DetectLabels = D1 ('MetaData "DetectLabels" "Amazonka.Rekognition.DetectLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabels'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "features") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DetectLabelsFeatureName])) :: S1 ('MetaSel ('Just "maxLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "settings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsSettings)) :: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))))

newDetectLabels Source #

Arguments

:: Image	`$sel:image:DetectLabels'`
-> DetectLabels

Create a value of DetectLabels with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:features:DetectLabels', detectLabels_features - A list of the types of analysis to perform. Specifying GENERAL_LABELS uses the label detection feature, while specifying IMAGE_PROPERTIES returns information regarding image color and quality. If no option is specified GENERAL_LABELS is used by default.

$sel:maxLabels:DetectLabels', detectLabels_maxLabels - Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels.

DetectLabels, detectLabels_minConfidence - Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with confidence lower than this specified value.

If MinConfidence is not specified, the operation returns labels with a confidence values greater than or equal to 55 percent.

$sel:settings:DetectLabels', detectLabels_settings - A list of the filters to be applied to returned detected labels and image properties. Specified filters can be inclusive, exclusive, or a combination of both. Filters can be used for individual labels or label categories. The exact label names or label categories must be supplied. For a full list of labels and label categories, see LINK HERE.

$sel:image:DetectLabels', detectLabels_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. Images stored in an S3 Bucket do not need to be base64-encoded.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data DetectLabelsResponse Source #

See: newDetectLabelsResponse smart constructor.

Constructors

DetectLabelsResponse' (Maybe DetectLabelsImageProperties) (Maybe Text) (Maybe [Label]) (Maybe OrientationCorrection) Int

Instances

Instances details

Generic DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Associated Types type Rep DetectLabelsResponse :: Type -> Type # Methods from :: DetectLabelsResponse -> Rep DetectLabelsResponse x # to :: Rep DetectLabelsResponse x -> DetectLabelsResponse #
Read DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods readsPrec :: Int -> ReadS DetectLabelsResponse # readList :: ReadS [DetectLabelsResponse] # readPrec :: ReadPrec DetectLabelsResponse # readListPrec :: ReadPrec [DetectLabelsResponse] #
Show DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods showsPrec :: Int -> DetectLabelsResponse -> ShowS # show :: DetectLabelsResponse -> String # showList :: [DetectLabelsResponse] -> ShowS #
NFData DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods rnf :: DetectLabelsResponse -> () #
Eq DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods (==) :: DetectLabelsResponse -> DetectLabelsResponse -> Bool # (/=) :: DetectLabelsResponse -> DetectLabelsResponse -> Bool #
type Rep DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type Rep DetectLabelsResponse = D1 ('MetaData "DetectLabelsResponse" "Amazonka.Rekognition.DetectLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "imageProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageProperties)) :: S1 ('MetaSel ('Just "labelModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Label])) :: (S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newDetectLabelsResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectLabelsResponse'`
-> DetectLabelsResponse

Create a value of DetectLabelsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DetectLabelsResponse, detectLabelsResponse_imageProperties - Information about the properties of the input image, such as brightness, sharpness, contrast, and dominant colors.

$sel:labelModelVersion:DetectLabelsResponse', detectLabelsResponse_labelModelVersion - Version number of the label detection model that was used to detect labels.

DetectLabelsResponse, detectLabelsResponse_labels - An array of labels for the real-world objects detected.

$sel:orientationCorrection:DetectLabelsResponse', detectLabelsResponse_orientationCorrection - The value of OrientationCorrection is always null.

If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.

Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.

$sel:httpStatus:DetectLabelsResponse', detectLabelsResponse_httpStatus - The response's http status code.

DetectModerationLabels

data DetectModerationLabels Source #

See: newDetectModerationLabels smart constructor.

Constructors

DetectModerationLabels' (Maybe HumanLoopConfig) (Maybe Double) Image

Instances

Instances details

ToJSON DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods toJSON :: DetectModerationLabels -> Value # toEncoding :: DetectModerationLabels -> Encoding # toJSONList :: [DetectModerationLabels] -> Value # toEncodingList :: [DetectModerationLabels] -> Encoding #
ToHeaders DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods toHeaders :: DetectModerationLabels -> [Header] #
ToPath DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods toPath :: DetectModerationLabels -> ByteString #
ToQuery DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods toQuery :: DetectModerationLabels -> QueryString #
AWSRequest DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Associated Types type AWSResponse DetectModerationLabels # Methods request :: (Service -> Service) -> DetectModerationLabels -> Request DetectModerationLabels # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectModerationLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectModerationLabels))) #
Generic DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Associated Types type Rep DetectModerationLabels :: Type -> Type # Methods from :: DetectModerationLabels -> Rep DetectModerationLabels x # to :: Rep DetectModerationLabels x -> DetectModerationLabels #
Read DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods readsPrec :: Int -> ReadS DetectModerationLabels # readList :: ReadS [DetectModerationLabels] # readPrec :: ReadPrec DetectModerationLabels # readListPrec :: ReadPrec [DetectModerationLabels] #
Show DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods showsPrec :: Int -> DetectModerationLabels -> ShowS # show :: DetectModerationLabels -> String # showList :: [DetectModerationLabels] -> ShowS #
NFData DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods rnf :: DetectModerationLabels -> () #
Eq DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods (==) :: DetectModerationLabels -> DetectModerationLabels -> Bool # (/=) :: DetectModerationLabels -> DetectModerationLabels -> Bool #
Hashable DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods hashWithSalt :: Int -> DetectModerationLabels -> Int # hash :: DetectModerationLabels -> Int #
type AWSResponse DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type AWSResponse DetectModerationLabels = DetectModerationLabelsResponse
type Rep DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type Rep DetectModerationLabels = D1 ('MetaData "DetectModerationLabels" "Amazonka.Rekognition.DetectModerationLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectModerationLabels'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopConfig)) :: (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image))))

newDetectModerationLabels Source #

Arguments

:: Image	`$sel:image:DetectModerationLabels'`
-> DetectModerationLabels

Create a value of DetectModerationLabels with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopConfig:DetectModerationLabels', detectModerationLabels_humanLoopConfig - Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

DetectModerationLabels, detectModerationLabels_minConfidence - Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.

$sel:image:DetectModerationLabels', detectModerationLabels_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data DetectModerationLabelsResponse Source #

See: newDetectModerationLabelsResponse smart constructor.

Constructors

DetectModerationLabelsResponse' (Maybe HumanLoopActivationOutput) (Maybe [ModerationLabel]) (Maybe Text) Int

Instances

Instances details

Generic DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Associated Types type Rep DetectModerationLabelsResponse :: Type -> Type # Methods from :: DetectModerationLabelsResponse -> Rep DetectModerationLabelsResponse x # to :: Rep DetectModerationLabelsResponse x -> DetectModerationLabelsResponse #
Read DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods readsPrec :: Int -> ReadS DetectModerationLabelsResponse # readList :: ReadS [DetectModerationLabelsResponse] # readPrec :: ReadPrec DetectModerationLabelsResponse # readListPrec :: ReadPrec [DetectModerationLabelsResponse] #
Show DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods showsPrec :: Int -> DetectModerationLabelsResponse -> ShowS # show :: DetectModerationLabelsResponse -> String # showList :: [DetectModerationLabelsResponse] -> ShowS #
NFData DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods rnf :: DetectModerationLabelsResponse -> () #
Eq DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods (==) :: DetectModerationLabelsResponse -> DetectModerationLabelsResponse -> Bool # (/=) :: DetectModerationLabelsResponse -> DetectModerationLabelsResponse -> Bool #
type Rep DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type Rep DetectModerationLabelsResponse = D1 ('MetaData "DetectModerationLabelsResponse" "Amazonka.Rekognition.DetectModerationLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectModerationLabelsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "humanLoopActivationOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopActivationOutput)) :: S1 ('MetaSel ('Just "moderationLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModerationLabel]))) :: (S1 ('MetaSel ('Just "moderationModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDetectModerationLabelsResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectModerationLabelsResponse'`
-> DetectModerationLabelsResponse

Create a value of DetectModerationLabelsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationOutput:DetectModerationLabelsResponse', detectModerationLabelsResponse_humanLoopActivationOutput - Shows the results of the human in the loop evaluation.

$sel:moderationLabels:DetectModerationLabelsResponse', detectModerationLabelsResponse_moderationLabels - Array of detected Moderation labels and the time, in milliseconds from the start of the video, they were detected.

$sel:moderationModelVersion:DetectModerationLabelsResponse', detectModerationLabelsResponse_moderationModelVersion - Version number of the moderation detection model that was used to detect unsafe content.

$sel:httpStatus:DetectModerationLabelsResponse', detectModerationLabelsResponse_httpStatus - The response's http status code.

DetectProtectiveEquipment

data DetectProtectiveEquipment Source #

See: newDetectProtectiveEquipment smart constructor.

Constructors

DetectProtectiveEquipment' (Maybe ProtectiveEquipmentSummarizationAttributes) Image

Instances

Instances details

ToJSON DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods toJSON :: DetectProtectiveEquipment -> Value # toEncoding :: DetectProtectiveEquipment -> Encoding # toJSONList :: [DetectProtectiveEquipment] -> Value # toEncodingList :: [DetectProtectiveEquipment] -> Encoding #
ToHeaders DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods toHeaders :: DetectProtectiveEquipment -> [Header] #
ToPath DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods toPath :: DetectProtectiveEquipment -> ByteString #
ToQuery DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods toQuery :: DetectProtectiveEquipment -> QueryString #
AWSRequest DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Associated Types type AWSResponse DetectProtectiveEquipment # Methods request :: (Service -> Service) -> DetectProtectiveEquipment -> Request DetectProtectiveEquipment # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectProtectiveEquipment -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectProtectiveEquipment))) #
Generic DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Associated Types type Rep DetectProtectiveEquipment :: Type -> Type # Methods from :: DetectProtectiveEquipment -> Rep DetectProtectiveEquipment x # to :: Rep DetectProtectiveEquipment x -> DetectProtectiveEquipment #
Read DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods readsPrec :: Int -> ReadS DetectProtectiveEquipment # readList :: ReadS [DetectProtectiveEquipment] # readPrec :: ReadPrec DetectProtectiveEquipment # readListPrec :: ReadPrec [DetectProtectiveEquipment] #
Show DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods showsPrec :: Int -> DetectProtectiveEquipment -> ShowS # show :: DetectProtectiveEquipment -> String # showList :: [DetectProtectiveEquipment] -> ShowS #
NFData DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods rnf :: DetectProtectiveEquipment -> () #
Eq DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods (==) :: DetectProtectiveEquipment -> DetectProtectiveEquipment -> Bool # (/=) :: DetectProtectiveEquipment -> DetectProtectiveEquipment -> Bool #
Hashable DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods hashWithSalt :: Int -> DetectProtectiveEquipment -> Int # hash :: DetectProtectiveEquipment -> Int #
type AWSResponse DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type AWSResponse DetectProtectiveEquipment = DetectProtectiveEquipmentResponse
type Rep DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type Rep DetectProtectiveEquipment = D1 ('MetaData "DetectProtectiveEquipment" "Amazonka.Rekognition.DetectProtectiveEquipment" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectProtectiveEquipment'" 'PrefixI 'True) (S1 ('MetaSel ('Just "summarizationAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProtectiveEquipmentSummarizationAttributes)) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))

newDetectProtectiveEquipment Source #

Arguments

:: Image	`$sel:image:DetectProtectiveEquipment'`
-> DetectProtectiveEquipment

Create a value of DetectProtectiveEquipment with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:summarizationAttributes:DetectProtectiveEquipment', detectProtectiveEquipment_summarizationAttributes - An array of PPE types that you want to summarize.

$sel:image:DetectProtectiveEquipment', detectProtectiveEquipment_image - The image in which you want to detect PPE on detected persons. The image can be passed as image bytes or you can reference an image stored in an Amazon S3 bucket.

data DetectProtectiveEquipmentResponse Source #

See: newDetectProtectiveEquipmentResponse smart constructor.

Constructors

DetectProtectiveEquipmentResponse' (Maybe [ProtectiveEquipmentPerson]) (Maybe Text) (Maybe ProtectiveEquipmentSummary) Int

Instances

Instances details

Generic DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Associated Types type Rep DetectProtectiveEquipmentResponse :: Type -> Type # Methods from :: DetectProtectiveEquipmentResponse -> Rep DetectProtectiveEquipmentResponse x # to :: Rep DetectProtectiveEquipmentResponse x -> DetectProtectiveEquipmentResponse #
Read DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods readsPrec :: Int -> ReadS DetectProtectiveEquipmentResponse # readList :: ReadS [DetectProtectiveEquipmentResponse] # readPrec :: ReadPrec DetectProtectiveEquipmentResponse # readListPrec :: ReadPrec [DetectProtectiveEquipmentResponse] #
Show DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods showsPrec :: Int -> DetectProtectiveEquipmentResponse -> ShowS # show :: DetectProtectiveEquipmentResponse -> String # showList :: [DetectProtectiveEquipmentResponse] -> ShowS #
NFData DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods rnf :: DetectProtectiveEquipmentResponse -> () #
Eq DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods (==) :: DetectProtectiveEquipmentResponse -> DetectProtectiveEquipmentResponse -> Bool # (/=) :: DetectProtectiveEquipmentResponse -> DetectProtectiveEquipmentResponse -> Bool #
type Rep DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type Rep DetectProtectiveEquipmentResponse = D1 ('MetaData "DetectProtectiveEquipmentResponse" "Amazonka.Rekognition.DetectProtectiveEquipment" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectProtectiveEquipmentResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProtectiveEquipmentPerson])) :: S1 ('MetaSel ('Just "protectiveEquipmentModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "summary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProtectiveEquipmentSummary)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDetectProtectiveEquipmentResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectProtectiveEquipmentResponse'`
-> DetectProtectiveEquipmentResponse

Create a value of DetectProtectiveEquipmentResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:persons:DetectProtectiveEquipmentResponse', detectProtectiveEquipmentResponse_persons - An array of persons detected in the image (including persons not wearing PPE).

$sel:protectiveEquipmentModelVersion:DetectProtectiveEquipmentResponse', detectProtectiveEquipmentResponse_protectiveEquipmentModelVersion - The version number of the PPE detection model used to detect PPE in the image.

DetectProtectiveEquipmentResponse, detectProtectiveEquipmentResponse_summary - Summary information for the types of PPE specified in the SummarizationAttributes input parameter.

$sel:httpStatus:DetectProtectiveEquipmentResponse', detectProtectiveEquipmentResponse_httpStatus - The response's http status code.

DetectText

data DetectText Source #

See: newDetectText smart constructor.

Constructors

DetectText' (Maybe DetectTextFilters) Image

Instances

Instances details

ToJSON DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods toJSON :: DetectText -> Value # toEncoding :: DetectText -> Encoding # toJSONList :: [DetectText] -> Value # toEncodingList :: [DetectText] -> Encoding #
ToHeaders DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods toHeaders :: DetectText -> [Header] #
ToPath DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods toPath :: DetectText -> ByteString #
ToQuery DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods toQuery :: DetectText -> QueryString #
AWSRequest DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Associated Types type AWSResponse DetectText # Methods request :: (Service -> Service) -> DetectText -> Request DetectText # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DetectText -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectText))) #
Generic DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Associated Types type Rep DetectText :: Type -> Type # Methods from :: DetectText -> Rep DetectText x # to :: Rep DetectText x -> DetectText #
Read DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods readsPrec :: Int -> ReadS DetectText # readList :: ReadS [DetectText] # readPrec :: ReadPrec DetectText # readListPrec :: ReadPrec [DetectText] #
Show DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods showsPrec :: Int -> DetectText -> ShowS # show :: DetectText -> String # showList :: [DetectText] -> ShowS #
NFData DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods rnf :: DetectText -> () #
Eq DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods (==) :: DetectText -> DetectText -> Bool # (/=) :: DetectText -> DetectText -> Bool #
Hashable DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods hashWithSalt :: Int -> DetectText -> Int # hash :: DetectText -> Int #
type AWSResponse DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText type AWSResponse DetectText = DetectTextResponse
type Rep DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText type Rep DetectText = D1 ('MetaData "DetectText" "Amazonka.Rekognition.DetectText" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectText'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectTextFilters)) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))

newDetectText Source #

Arguments

:: Image	`$sel:image:DetectText'`
-> DetectText

Create a value of DetectText with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:filters:DetectText', detectText_filters - Optional parameters that let you set the criteria that the text must meet to be included in your response.

$sel:image:DetectText', detectText_image - The input image as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Rekognition operations, you can't pass image bytes.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data DetectTextResponse Source #

See: newDetectTextResponse smart constructor.

Constructors

DetectTextResponse' (Maybe [TextDetection]) (Maybe Text) Int

Instances

Instances details

Generic DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Associated Types type Rep DetectTextResponse :: Type -> Type # Methods from :: DetectTextResponse -> Rep DetectTextResponse x # to :: Rep DetectTextResponse x -> DetectTextResponse #
Read DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods readsPrec :: Int -> ReadS DetectTextResponse # readList :: ReadS [DetectTextResponse] # readPrec :: ReadPrec DetectTextResponse # readListPrec :: ReadPrec [DetectTextResponse] #
Show DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods showsPrec :: Int -> DetectTextResponse -> ShowS # show :: DetectTextResponse -> String # showList :: [DetectTextResponse] -> ShowS #
NFData DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods rnf :: DetectTextResponse -> () #
Eq DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods (==) :: DetectTextResponse -> DetectTextResponse -> Bool # (/=) :: DetectTextResponse -> DetectTextResponse -> Bool #
type Rep DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText type Rep DetectTextResponse = D1 ('MetaData "DetectTextResponse" "Amazonka.Rekognition.DetectText" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectTextResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "textDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TextDetection])) :: (S1 ('MetaSel ('Just "textModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newDetectTextResponse Source #

Arguments

:: Int	`$sel:httpStatus:DetectTextResponse'`
-> DetectTextResponse

Create a value of DetectTextResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:textDetections:DetectTextResponse', detectTextResponse_textDetections - An array of text that was detected in the input image.

$sel:textModelVersion:DetectTextResponse', detectTextResponse_textModelVersion - The model version used to detect text.

$sel:httpStatus:DetectTextResponse', detectTextResponse_httpStatus - The response's http status code.

DistributeDatasetEntries

data DistributeDatasetEntries Source #

See: newDistributeDatasetEntries smart constructor.

Constructors

DistributeDatasetEntries' (NonEmpty DistributeDataset)

Instances

Instances details

ToJSON DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods toJSON :: DistributeDatasetEntries -> Value # toEncoding :: DistributeDatasetEntries -> Encoding # toJSONList :: [DistributeDatasetEntries] -> Value # toEncodingList :: [DistributeDatasetEntries] -> Encoding #
ToHeaders DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods toHeaders :: DistributeDatasetEntries -> [Header] #
ToPath DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods toPath :: DistributeDatasetEntries -> ByteString #
ToQuery DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods toQuery :: DistributeDatasetEntries -> QueryString #
AWSRequest DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Associated Types type AWSResponse DistributeDatasetEntries # Methods request :: (Service -> Service) -> DistributeDatasetEntries -> Request DistributeDatasetEntries # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DistributeDatasetEntries -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DistributeDatasetEntries))) #
Generic DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Associated Types type Rep DistributeDatasetEntries :: Type -> Type # Methods from :: DistributeDatasetEntries -> Rep DistributeDatasetEntries x # to :: Rep DistributeDatasetEntries x -> DistributeDatasetEntries #
Read DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods readsPrec :: Int -> ReadS DistributeDatasetEntries # readList :: ReadS [DistributeDatasetEntries] # readPrec :: ReadPrec DistributeDatasetEntries # readListPrec :: ReadPrec [DistributeDatasetEntries] #
Show DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods showsPrec :: Int -> DistributeDatasetEntries -> ShowS # show :: DistributeDatasetEntries -> String # showList :: [DistributeDatasetEntries] -> ShowS #
NFData DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods rnf :: DistributeDatasetEntries -> () #
Eq DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods (==) :: DistributeDatasetEntries -> DistributeDatasetEntries -> Bool # (/=) :: DistributeDatasetEntries -> DistributeDatasetEntries -> Bool #
Hashable DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods hashWithSalt :: Int -> DistributeDatasetEntries -> Int # hash :: DistributeDatasetEntries -> Int #
type AWSResponse DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries type AWSResponse DistributeDatasetEntries = DistributeDatasetEntriesResponse
type Rep DistributeDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries type Rep DistributeDatasetEntries = D1 ('MetaData "DistributeDatasetEntries" "Amazonka.Rekognition.DistributeDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DistributeDatasetEntries'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty DistributeDataset))))

newDistributeDatasetEntries Source #

Arguments

:: NonEmpty DistributeDataset	`DistributeDatasetEntries`
-> DistributeDatasetEntries

Create a value of DistributeDatasetEntries with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DistributeDatasetEntries, distributeDatasetEntries_datasets - The ARNS for the training dataset and test dataset that you want to use. The datasets must belong to the same project. The test dataset must be empty.

data DistributeDatasetEntriesResponse Source #

See: newDistributeDatasetEntriesResponse smart constructor.

Constructors

DistributeDatasetEntriesResponse' Int

Instances

Instances details

Generic DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Associated Types type Rep DistributeDatasetEntriesResponse :: Type -> Type # Methods from :: DistributeDatasetEntriesResponse -> Rep DistributeDatasetEntriesResponse x # to :: Rep DistributeDatasetEntriesResponse x -> DistributeDatasetEntriesResponse #
Read DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods readsPrec :: Int -> ReadS DistributeDatasetEntriesResponse # readList :: ReadS [DistributeDatasetEntriesResponse] # readPrec :: ReadPrec DistributeDatasetEntriesResponse # readListPrec :: ReadPrec [DistributeDatasetEntriesResponse] #
Show DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods showsPrec :: Int -> DistributeDatasetEntriesResponse -> ShowS # show :: DistributeDatasetEntriesResponse -> String # showList :: [DistributeDatasetEntriesResponse] -> ShowS #
NFData DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods rnf :: DistributeDatasetEntriesResponse -> () #
Eq DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries Methods (==) :: DistributeDatasetEntriesResponse -> DistributeDatasetEntriesResponse -> Bool # (/=) :: DistributeDatasetEntriesResponse -> DistributeDatasetEntriesResponse -> Bool #
type Rep DistributeDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.DistributeDatasetEntries type Rep DistributeDatasetEntriesResponse = D1 ('MetaData "DistributeDatasetEntriesResponse" "Amazonka.Rekognition.DistributeDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DistributeDatasetEntriesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDistributeDatasetEntriesResponse Source #

Arguments

:: Int	`$sel:httpStatus:DistributeDatasetEntriesResponse'`
-> DistributeDatasetEntriesResponse

Create a value of DistributeDatasetEntriesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:DistributeDatasetEntriesResponse', distributeDatasetEntriesResponse_httpStatus - The response's http status code.

GetCelebrityInfo

data GetCelebrityInfo Source #

See: newGetCelebrityInfo smart constructor.

Constructors

GetCelebrityInfo' Text

Instances

Instances details

ToJSON GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods toJSON :: GetCelebrityInfo -> Value # toEncoding :: GetCelebrityInfo -> Encoding # toJSONList :: [GetCelebrityInfo] -> Value # toEncodingList :: [GetCelebrityInfo] -> Encoding #
ToHeaders GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods toHeaders :: GetCelebrityInfo -> [Header] #
ToPath GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods toPath :: GetCelebrityInfo -> ByteString #
ToQuery GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods toQuery :: GetCelebrityInfo -> QueryString #
AWSRequest GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Associated Types type AWSResponse GetCelebrityInfo # Methods request :: (Service -> Service) -> GetCelebrityInfo -> Request GetCelebrityInfo # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetCelebrityInfo -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetCelebrityInfo))) #
Generic GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Associated Types type Rep GetCelebrityInfo :: Type -> Type # Methods from :: GetCelebrityInfo -> Rep GetCelebrityInfo x # to :: Rep GetCelebrityInfo x -> GetCelebrityInfo #
Read GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods readsPrec :: Int -> ReadS GetCelebrityInfo # readList :: ReadS [GetCelebrityInfo] # readPrec :: ReadPrec GetCelebrityInfo # readListPrec :: ReadPrec [GetCelebrityInfo] #
Show GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods showsPrec :: Int -> GetCelebrityInfo -> ShowS # show :: GetCelebrityInfo -> String # showList :: [GetCelebrityInfo] -> ShowS #
NFData GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods rnf :: GetCelebrityInfo -> () #
Eq GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods (==) :: GetCelebrityInfo -> GetCelebrityInfo -> Bool # (/=) :: GetCelebrityInfo -> GetCelebrityInfo -> Bool #
Hashable GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods hashWithSalt :: Int -> GetCelebrityInfo -> Int # hash :: GetCelebrityInfo -> Int #
type AWSResponse GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type AWSResponse GetCelebrityInfo = GetCelebrityInfoResponse
type Rep GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type Rep GetCelebrityInfo = D1 ('MetaData "GetCelebrityInfo" "Amazonka.Rekognition.GetCelebrityInfo" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetCelebrityInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newGetCelebrityInfo Source #

Arguments

:: Text	`GetCelebrityInfo`
-> GetCelebrityInfo

Create a value of GetCelebrityInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

GetCelebrityInfo, getCelebrityInfo_id - The ID for the celebrity. You get the celebrity ID from a call to the RecognizeCelebrities operation, which recognizes celebrities in an image.

data GetCelebrityInfoResponse Source #

See: newGetCelebrityInfoResponse smart constructor.

Constructors

GetCelebrityInfoResponse' (Maybe KnownGender) (Maybe Text) (Maybe [Text]) Int

Instances

Instances details

Generic GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Associated Types type Rep GetCelebrityInfoResponse :: Type -> Type # Methods from :: GetCelebrityInfoResponse -> Rep GetCelebrityInfoResponse x # to :: Rep GetCelebrityInfoResponse x -> GetCelebrityInfoResponse #
Read GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods readsPrec :: Int -> ReadS GetCelebrityInfoResponse # readList :: ReadS [GetCelebrityInfoResponse] # readPrec :: ReadPrec GetCelebrityInfoResponse # readListPrec :: ReadPrec [GetCelebrityInfoResponse] #
Show GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods showsPrec :: Int -> GetCelebrityInfoResponse -> ShowS # show :: GetCelebrityInfoResponse -> String # showList :: [GetCelebrityInfoResponse] -> ShowS #
NFData GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods rnf :: GetCelebrityInfoResponse -> () #
Eq GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods (==) :: GetCelebrityInfoResponse -> GetCelebrityInfoResponse -> Bool # (/=) :: GetCelebrityInfoResponse -> GetCelebrityInfoResponse -> Bool #
type Rep GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type Rep GetCelebrityInfoResponse = D1 ('MetaData "GetCelebrityInfoResponse" "Amazonka.Rekognition.GetCelebrityInfo" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetCelebrityInfoResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "knownGender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KnownGender)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "urls") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newGetCelebrityInfoResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetCelebrityInfoResponse'`
-> GetCelebrityInfoResponse

Create a value of GetCelebrityInfoResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

GetCelebrityInfoResponse, getCelebrityInfoResponse_knownGender - Retrieves the known gender for the celebrity.

GetCelebrityInfoResponse, getCelebrityInfoResponse_name - The name of the celebrity.

GetCelebrityInfoResponse, getCelebrityInfoResponse_urls - An array of URLs pointing to additional celebrity information.

$sel:httpStatus:GetCelebrityInfoResponse', getCelebrityInfoResponse_httpStatus - The response's http status code.

GetCelebrityRecognition

data GetCelebrityRecognition Source #

See: newGetCelebrityRecognition smart constructor.

Constructors

GetCelebrityRecognition' (Maybe Natural) (Maybe Text) (Maybe CelebrityRecognitionSortBy) Text

Instances

Instances details

ToJSON GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods toJSON :: GetCelebrityRecognition -> Value # toEncoding :: GetCelebrityRecognition -> Encoding # toJSONList :: [GetCelebrityRecognition] -> Value # toEncodingList :: [GetCelebrityRecognition] -> Encoding #
ToHeaders GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods toHeaders :: GetCelebrityRecognition -> [Header] #
ToPath GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods toPath :: GetCelebrityRecognition -> ByteString #
ToQuery GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods toQuery :: GetCelebrityRecognition -> QueryString #
AWSRequest GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Associated Types type AWSResponse GetCelebrityRecognition # Methods request :: (Service -> Service) -> GetCelebrityRecognition -> Request GetCelebrityRecognition # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetCelebrityRecognition -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetCelebrityRecognition))) #
Generic GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Associated Types type Rep GetCelebrityRecognition :: Type -> Type # Methods from :: GetCelebrityRecognition -> Rep GetCelebrityRecognition x # to :: Rep GetCelebrityRecognition x -> GetCelebrityRecognition #
Read GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods readsPrec :: Int -> ReadS GetCelebrityRecognition # readList :: ReadS [GetCelebrityRecognition] # readPrec :: ReadPrec GetCelebrityRecognition # readListPrec :: ReadPrec [GetCelebrityRecognition] #
Show GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods showsPrec :: Int -> GetCelebrityRecognition -> ShowS # show :: GetCelebrityRecognition -> String # showList :: [GetCelebrityRecognition] -> ShowS #
NFData GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods rnf :: GetCelebrityRecognition -> () #
Eq GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods (==) :: GetCelebrityRecognition -> GetCelebrityRecognition -> Bool # (/=) :: GetCelebrityRecognition -> GetCelebrityRecognition -> Bool #
Hashable GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods hashWithSalt :: Int -> GetCelebrityRecognition -> Int # hash :: GetCelebrityRecognition -> Int #
type AWSResponse GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type AWSResponse GetCelebrityRecognition = GetCelebrityRecognitionResponse
type Rep GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type Rep GetCelebrityRecognition = D1 ('MetaData "GetCelebrityRecognition" "Amazonka.Rekognition.GetCelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetCelebrityRecognition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CelebrityRecognitionSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetCelebrityRecognition Source #

Arguments

:: Text	`$sel:jobId:GetCelebrityRecognition'`
-> GetCelebrityRecognition

Create a value of GetCelebrityRecognition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetCelebrityRecognition', getCelebrityRecognition_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetCelebrityRecognition, getCelebrityRecognition_nextToken - If the previous response was incomplete (because there is more recognized celebrities to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of celebrities.

$sel:sortBy:GetCelebrityRecognition', getCelebrityRecognition_sortBy - Sort to use for celebrities returned in Celebrities field. Specify ID to sort by the celebrity identifier, specify TIMESTAMP to sort by the time the celebrity was recognized.

$sel:jobId:GetCelebrityRecognition', getCelebrityRecognition_jobId - Job identifier for the required celebrity recognition analysis. You can get the job identifer from a call to StartCelebrityRecognition.

data GetCelebrityRecognitionResponse Source #

See: newGetCelebrityRecognitionResponse smart constructor.

Constructors

GetCelebrityRecognitionResponse' (Maybe [CelebrityRecognition]) (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Associated Types type Rep GetCelebrityRecognitionResponse :: Type -> Type # Methods from :: GetCelebrityRecognitionResponse -> Rep GetCelebrityRecognitionResponse x # to :: Rep GetCelebrityRecognitionResponse x -> GetCelebrityRecognitionResponse #
Read GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods readsPrec :: Int -> ReadS GetCelebrityRecognitionResponse # readList :: ReadS [GetCelebrityRecognitionResponse] # readPrec :: ReadPrec GetCelebrityRecognitionResponse # readListPrec :: ReadPrec [GetCelebrityRecognitionResponse] #
Show GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods showsPrec :: Int -> GetCelebrityRecognitionResponse -> ShowS # show :: GetCelebrityRecognitionResponse -> String # showList :: [GetCelebrityRecognitionResponse] -> ShowS #
NFData GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods rnf :: GetCelebrityRecognitionResponse -> () #
Eq GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods (==) :: GetCelebrityRecognitionResponse -> GetCelebrityRecognitionResponse -> Bool # (/=) :: GetCelebrityRecognitionResponse -> GetCelebrityRecognitionResponse -> Bool #
type Rep GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type Rep GetCelebrityRecognitionResponse = D1 ('MetaData "GetCelebrityRecognitionResponse" "Amazonka.Rekognition.GetCelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetCelebrityRecognitionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "celebrities") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CelebrityRecognition])) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetCelebrityRecognitionResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetCelebrityRecognitionResponse'`
-> GetCelebrityRecognitionResponse

Create a value of GetCelebrityRecognitionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:celebrities:GetCelebrityRecognitionResponse', getCelebrityRecognitionResponse_celebrities - Array of celebrities recognized in the video.

$sel:jobStatus:GetCelebrityRecognitionResponse', getCelebrityRecognitionResponse_jobStatus - The current status of the celebrity recognition job.

GetCelebrityRecognition, getCelebrityRecognitionResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of celebrities.

GetCelebrityRecognitionResponse, getCelebrityRecognitionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetCelebrityRecognitionResponse', getCelebrityRecognitionResponse_videoMetadata - Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.

$sel:httpStatus:GetCelebrityRecognitionResponse', getCelebrityRecognitionResponse_httpStatus - The response's http status code.

GetContentModeration

data GetContentModeration Source #

See: newGetContentModeration smart constructor.

Constructors

GetContentModeration' (Maybe Natural) (Maybe Text) (Maybe ContentModerationSortBy) Text

Instances

Instances details

ToJSON GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods toJSON :: GetContentModeration -> Value # toEncoding :: GetContentModeration -> Encoding # toJSONList :: [GetContentModeration] -> Value # toEncodingList :: [GetContentModeration] -> Encoding #
ToHeaders GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods toHeaders :: GetContentModeration -> [Header] #
ToPath GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods toPath :: GetContentModeration -> ByteString #
ToQuery GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods toQuery :: GetContentModeration -> QueryString #
AWSRequest GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Associated Types type AWSResponse GetContentModeration # Methods request :: (Service -> Service) -> GetContentModeration -> Request GetContentModeration # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetContentModeration -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetContentModeration))) #
Generic GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Associated Types type Rep GetContentModeration :: Type -> Type # Methods from :: GetContentModeration -> Rep GetContentModeration x # to :: Rep GetContentModeration x -> GetContentModeration #
Read GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods readsPrec :: Int -> ReadS GetContentModeration # readList :: ReadS [GetContentModeration] # readPrec :: ReadPrec GetContentModeration # readListPrec :: ReadPrec [GetContentModeration] #
Show GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods showsPrec :: Int -> GetContentModeration -> ShowS # show :: GetContentModeration -> String # showList :: [GetContentModeration] -> ShowS #
NFData GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods rnf :: GetContentModeration -> () #
Eq GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods (==) :: GetContentModeration -> GetContentModeration -> Bool # (/=) :: GetContentModeration -> GetContentModeration -> Bool #
Hashable GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods hashWithSalt :: Int -> GetContentModeration -> Int # hash :: GetContentModeration -> Int #
type AWSResponse GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type AWSResponse GetContentModeration = GetContentModerationResponse
type Rep GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type Rep GetContentModeration = D1 ('MetaData "GetContentModeration" "Amazonka.Rekognition.GetContentModeration" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetContentModeration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContentModerationSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetContentModeration Source #

Arguments

:: Text	`$sel:jobId:GetContentModeration'`
-> GetContentModeration

Create a value of GetContentModeration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetContentModeration', getContentModeration_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetContentModeration, getContentModeration_nextToken - If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.

$sel:sortBy:GetContentModeration', getContentModeration_sortBy - Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.

$sel:jobId:GetContentModeration', getContentModeration_jobId - The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.

data GetContentModerationResponse Source #

See: newGetContentModerationResponse smart constructor.

Constructors

GetContentModerationResponse' (Maybe VideoJobStatus) (Maybe [ContentModerationDetection]) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Associated Types type Rep GetContentModerationResponse :: Type -> Type # Methods from :: GetContentModerationResponse -> Rep GetContentModerationResponse x # to :: Rep GetContentModerationResponse x -> GetContentModerationResponse #
Read GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods readsPrec :: Int -> ReadS GetContentModerationResponse # readList :: ReadS [GetContentModerationResponse] # readPrec :: ReadPrec GetContentModerationResponse # readListPrec :: ReadPrec [GetContentModerationResponse] #
Show GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods showsPrec :: Int -> GetContentModerationResponse -> ShowS # show :: GetContentModerationResponse -> String # showList :: [GetContentModerationResponse] -> ShowS #
NFData GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods rnf :: GetContentModerationResponse -> () #
Eq GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods (==) :: GetContentModerationResponse -> GetContentModerationResponse -> Bool # (/=) :: GetContentModerationResponse -> GetContentModerationResponse -> Bool #
type Rep GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type Rep GetContentModerationResponse = D1 ('MetaData "GetContentModerationResponse" "Amazonka.Rekognition.GetContentModeration" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetContentModerationResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "moderationLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentModerationDetection])) :: S1 ('MetaSel ('Just "moderationModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetContentModerationResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetContentModerationResponse'`
-> GetContentModerationResponse

Create a value of GetContentModerationResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobStatus:GetContentModerationResponse', getContentModerationResponse_jobStatus - The current status of the content moderation analysis job.

$sel:moderationLabels:GetContentModerationResponse', getContentModerationResponse_moderationLabels - The detected inappropriate, unwanted, or offensive content moderation labels and the time(s) they were detected.

$sel:moderationModelVersion:GetContentModerationResponse', getContentModerationResponse_moderationModelVersion - Version number of the moderation detection model that was used to detect inappropriate, unwanted, or offensive content.

GetContentModeration, getContentModerationResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of content moderation labels.

GetContentModerationResponse, getContentModerationResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetContentModerationResponse', getContentModerationResponse_videoMetadata - Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from GetContentModeration.

$sel:httpStatus:GetContentModerationResponse', getContentModerationResponse_httpStatus - The response's http status code.

GetFaceDetection

data GetFaceDetection Source #

See: newGetFaceDetection smart constructor.

Constructors

GetFaceDetection' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods toJSON :: GetFaceDetection -> Value # toEncoding :: GetFaceDetection -> Encoding # toJSONList :: [GetFaceDetection] -> Value # toEncodingList :: [GetFaceDetection] -> Encoding #
ToHeaders GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods toHeaders :: GetFaceDetection -> [Header] #
ToPath GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods toPath :: GetFaceDetection -> ByteString #
ToQuery GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods toQuery :: GetFaceDetection -> QueryString #
AWSRequest GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Associated Types type AWSResponse GetFaceDetection # Methods request :: (Service -> Service) -> GetFaceDetection -> Request GetFaceDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetFaceDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetFaceDetection))) #
Generic GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Associated Types type Rep GetFaceDetection :: Type -> Type # Methods from :: GetFaceDetection -> Rep GetFaceDetection x # to :: Rep GetFaceDetection x -> GetFaceDetection #
Read GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods readsPrec :: Int -> ReadS GetFaceDetection # readList :: ReadS [GetFaceDetection] # readPrec :: ReadPrec GetFaceDetection # readListPrec :: ReadPrec [GetFaceDetection] #
Show GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods showsPrec :: Int -> GetFaceDetection -> ShowS # show :: GetFaceDetection -> String # showList :: [GetFaceDetection] -> ShowS #
NFData GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods rnf :: GetFaceDetection -> () #
Eq GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods (==) :: GetFaceDetection -> GetFaceDetection -> Bool # (/=) :: GetFaceDetection -> GetFaceDetection -> Bool #
Hashable GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods hashWithSalt :: Int -> GetFaceDetection -> Int # hash :: GetFaceDetection -> Int #
type AWSResponse GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type AWSResponse GetFaceDetection = GetFaceDetectionResponse
type Rep GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type Rep GetFaceDetection = D1 ('MetaData "GetFaceDetection" "Amazonka.Rekognition.GetFaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetFaceDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetFaceDetection Source #

Arguments

:: Text	`$sel:jobId:GetFaceDetection'`
-> GetFaceDetection

Create a value of GetFaceDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetFaceDetection', getFaceDetection_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetFaceDetection, getFaceDetection_nextToken - If the previous response was incomplete (because there are more faces to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.

$sel:jobId:GetFaceDetection', getFaceDetection_jobId - Unique identifier for the face detection job. The JobId is returned from StartFaceDetection.

data GetFaceDetectionResponse Source #

See: newGetFaceDetectionResponse smart constructor.

Constructors

GetFaceDetectionResponse' (Maybe [FaceDetection]) (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Associated Types type Rep GetFaceDetectionResponse :: Type -> Type # Methods from :: GetFaceDetectionResponse -> Rep GetFaceDetectionResponse x # to :: Rep GetFaceDetectionResponse x -> GetFaceDetectionResponse #
Read GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods readsPrec :: Int -> ReadS GetFaceDetectionResponse # readList :: ReadS [GetFaceDetectionResponse] # readPrec :: ReadPrec GetFaceDetectionResponse # readListPrec :: ReadPrec [GetFaceDetectionResponse] #
Show GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods showsPrec :: Int -> GetFaceDetectionResponse -> ShowS # show :: GetFaceDetectionResponse -> String # showList :: [GetFaceDetectionResponse] -> ShowS #
NFData GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods rnf :: GetFaceDetectionResponse -> () #
Eq GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods (==) :: GetFaceDetectionResponse -> GetFaceDetectionResponse -> Bool # (/=) :: GetFaceDetectionResponse -> GetFaceDetectionResponse -> Bool #
type Rep GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type Rep GetFaceDetectionResponse = D1 ('MetaData "GetFaceDetectionResponse" "Amazonka.Rekognition.GetFaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetFaceDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceDetection])) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetFaceDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetFaceDetectionResponse'`
-> GetFaceDetectionResponse

Create a value of GetFaceDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faces:GetFaceDetectionResponse', getFaceDetectionResponse_faces - An array of faces detected in the video. Each element contains a detected face's details and the time, in milliseconds from the start of the video, the face was detected.

$sel:jobStatus:GetFaceDetectionResponse', getFaceDetectionResponse_jobStatus - The current status of the face detection job.

GetFaceDetection, getFaceDetectionResponse_nextToken - If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.

GetFaceDetectionResponse, getFaceDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetFaceDetectionResponse', getFaceDetectionResponse_videoMetadata - Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.

$sel:httpStatus:GetFaceDetectionResponse', getFaceDetectionResponse_httpStatus - The response's http status code.

GetFaceSearch

data GetFaceSearch Source #

See: newGetFaceSearch smart constructor.

Constructors

GetFaceSearch' (Maybe Natural) (Maybe Text) (Maybe FaceSearchSortBy) Text

Instances

Instances details

ToJSON GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods toJSON :: GetFaceSearch -> Value # toEncoding :: GetFaceSearch -> Encoding # toJSONList :: [GetFaceSearch] -> Value # toEncodingList :: [GetFaceSearch] -> Encoding #
ToHeaders GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods toHeaders :: GetFaceSearch -> [Header] #
ToPath GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods toPath :: GetFaceSearch -> ByteString #
ToQuery GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods toQuery :: GetFaceSearch -> QueryString #
AWSRequest GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Associated Types type AWSResponse GetFaceSearch # Methods request :: (Service -> Service) -> GetFaceSearch -> Request GetFaceSearch # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetFaceSearch -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetFaceSearch))) #
Generic GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Associated Types type Rep GetFaceSearch :: Type -> Type # Methods from :: GetFaceSearch -> Rep GetFaceSearch x # to :: Rep GetFaceSearch x -> GetFaceSearch #
Read GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods readsPrec :: Int -> ReadS GetFaceSearch # readList :: ReadS [GetFaceSearch] # readPrec :: ReadPrec GetFaceSearch # readListPrec :: ReadPrec [GetFaceSearch] #
Show GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods showsPrec :: Int -> GetFaceSearch -> ShowS # show :: GetFaceSearch -> String # showList :: [GetFaceSearch] -> ShowS #
NFData GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods rnf :: GetFaceSearch -> () #
Eq GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods (==) :: GetFaceSearch -> GetFaceSearch -> Bool # (/=) :: GetFaceSearch -> GetFaceSearch -> Bool #
Hashable GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods hashWithSalt :: Int -> GetFaceSearch -> Int # hash :: GetFaceSearch -> Int #
type AWSResponse GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type AWSResponse GetFaceSearch = GetFaceSearchResponse
type Rep GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type Rep GetFaceSearch = D1 ('MetaData "GetFaceSearch" "Amazonka.Rekognition.GetFaceSearch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetFaceSearch'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceSearchSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetFaceSearch Source #

Arguments

:: Text	`$sel:jobId:GetFaceSearch'`
-> GetFaceSearch

Create a value of GetFaceSearch with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetFaceSearch', getFaceSearch_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetFaceSearch, getFaceSearch_nextToken - If the previous response was incomplete (because there is more search results to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of search results.

$sel:sortBy:GetFaceSearch', getFaceSearch_sortBy - Sort to use for grouping faces in the response. Use TIMESTAMP to group faces by the time that they are recognized. Use INDEX to sort by recognized faces.

$sel:jobId:GetFaceSearch', getFaceSearch_jobId - The job identifer for the search request. You get the job identifier from an initial call to StartFaceSearch.

data GetFaceSearchResponse Source #

See: newGetFaceSearchResponse smart constructor.

Constructors

GetFaceSearchResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [PersonMatch]) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Associated Types type Rep GetFaceSearchResponse :: Type -> Type # Methods from :: GetFaceSearchResponse -> Rep GetFaceSearchResponse x # to :: Rep GetFaceSearchResponse x -> GetFaceSearchResponse #
Read GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods readsPrec :: Int -> ReadS GetFaceSearchResponse # readList :: ReadS [GetFaceSearchResponse] # readPrec :: ReadPrec GetFaceSearchResponse # readListPrec :: ReadPrec [GetFaceSearchResponse] #
Show GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods showsPrec :: Int -> GetFaceSearchResponse -> ShowS # show :: GetFaceSearchResponse -> String # showList :: [GetFaceSearchResponse] -> ShowS #
NFData GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods rnf :: GetFaceSearchResponse -> () #
Eq GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods (==) :: GetFaceSearchResponse -> GetFaceSearchResponse -> Bool # (/=) :: GetFaceSearchResponse -> GetFaceSearchResponse -> Bool #
type Rep GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type Rep GetFaceSearchResponse = D1 ('MetaData "GetFaceSearchResponse" "Amazonka.Rekognition.GetFaceSearch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetFaceSearchResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PersonMatch])))) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetFaceSearchResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetFaceSearchResponse'`
-> GetFaceSearchResponse

Create a value of GetFaceSearchResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobStatus:GetFaceSearchResponse', getFaceSearchResponse_jobStatus - The current status of the face search job.

GetFaceSearch, getFaceSearchResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of search results.

$sel:persons:GetFaceSearchResponse', getFaceSearchResponse_persons - An array of persons, PersonMatch, in the video whose face(s) match the face(s) in an Amazon Rekognition collection. It also includes time information for when persons are matched in the video. You specify the input collection in an initial call to StartFaceSearch. Each Persons element includes a time the person was matched, face match details (FaceMatches) for matching faces in the collection, and person information (Person) for the matched person.

GetFaceSearchResponse, getFaceSearchResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetFaceSearchResponse', getFaceSearchResponse_videoMetadata - Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.

$sel:httpStatus:GetFaceSearchResponse', getFaceSearchResponse_httpStatus - The response's http status code.

GetLabelDetection

data GetLabelDetection Source #

See: newGetLabelDetection smart constructor.

Constructors

GetLabelDetection' (Maybe LabelDetectionAggregateBy) (Maybe Natural) (Maybe Text) (Maybe LabelDetectionSortBy) Text

Instances

Instances details

ToJSON GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods toJSON :: GetLabelDetection -> Value # toEncoding :: GetLabelDetection -> Encoding # toJSONList :: [GetLabelDetection] -> Value # toEncodingList :: [GetLabelDetection] -> Encoding #
ToHeaders GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods toHeaders :: GetLabelDetection -> [Header] #
ToPath GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods toPath :: GetLabelDetection -> ByteString #
ToQuery GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods toQuery :: GetLabelDetection -> QueryString #
AWSRequest GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Associated Types type AWSResponse GetLabelDetection # Methods request :: (Service -> Service) -> GetLabelDetection -> Request GetLabelDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetLabelDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetLabelDetection))) #
Generic GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Associated Types type Rep GetLabelDetection :: Type -> Type # Methods from :: GetLabelDetection -> Rep GetLabelDetection x # to :: Rep GetLabelDetection x -> GetLabelDetection #
Read GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods readsPrec :: Int -> ReadS GetLabelDetection # readList :: ReadS [GetLabelDetection] # readPrec :: ReadPrec GetLabelDetection # readListPrec :: ReadPrec [GetLabelDetection] #
Show GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods showsPrec :: Int -> GetLabelDetection -> ShowS # show :: GetLabelDetection -> String # showList :: [GetLabelDetection] -> ShowS #
NFData GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods rnf :: GetLabelDetection -> () #
Eq GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods (==) :: GetLabelDetection -> GetLabelDetection -> Bool # (/=) :: GetLabelDetection -> GetLabelDetection -> Bool #
Hashable GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods hashWithSalt :: Int -> GetLabelDetection -> Int # hash :: GetLabelDetection -> Int #
type AWSResponse GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type AWSResponse GetLabelDetection = GetLabelDetectionResponse
type Rep GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type Rep GetLabelDetection = D1 ('MetaData "GetLabelDetection" "Amazonka.Rekognition.GetLabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetLabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "aggregateBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelDetectionAggregateBy)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelDetectionSortBy)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newGetLabelDetection Source #

Arguments

:: Text	`$sel:jobId:GetLabelDetection'`
-> GetLabelDetection

Create a value of GetLabelDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:aggregateBy:GetLabelDetection', getLabelDetection_aggregateBy - Defines how to aggregate the returned results. Results can be aggregated by timestamps or segments.

$sel:maxResults:GetLabelDetection', getLabelDetection_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetLabelDetection, getLabelDetection_nextToken - If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels.

$sel:sortBy:GetLabelDetection', getLabelDetection_sortBy - Sort to use for elements in the Labels array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.

$sel:jobId:GetLabelDetection', getLabelDetection_jobId - Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to StartlabelDetection.

data GetLabelDetectionResponse Source #

See: newGetLabelDetectionResponse smart constructor.

Constructors

GetLabelDetectionResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [LabelDetection]) (Maybe Text) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Associated Types type Rep GetLabelDetectionResponse :: Type -> Type # Methods from :: GetLabelDetectionResponse -> Rep GetLabelDetectionResponse x # to :: Rep GetLabelDetectionResponse x -> GetLabelDetectionResponse #
Read GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods readsPrec :: Int -> ReadS GetLabelDetectionResponse # readList :: ReadS [GetLabelDetectionResponse] # readPrec :: ReadPrec GetLabelDetectionResponse # readListPrec :: ReadPrec [GetLabelDetectionResponse] #
Show GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods showsPrec :: Int -> GetLabelDetectionResponse -> ShowS # show :: GetLabelDetectionResponse -> String # showList :: [GetLabelDetectionResponse] -> ShowS #
NFData GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods rnf :: GetLabelDetectionResponse -> () #
Eq GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods (==) :: GetLabelDetectionResponse -> GetLabelDetectionResponse -> Bool # (/=) :: GetLabelDetectionResponse -> GetLabelDetectionResponse -> Bool #
type Rep GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type Rep GetLabelDetectionResponse = D1 ('MetaData "GetLabelDetectionResponse" "Amazonka.Rekognition.GetLabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetLabelDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "labelModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelDetection])))) :: ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetLabelDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetLabelDetectionResponse'`
-> GetLabelDetectionResponse

Create a value of GetLabelDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobStatus:GetLabelDetectionResponse', getLabelDetectionResponse_jobStatus - The current status of the label detection job.

$sel:labelModelVersion:GetLabelDetectionResponse', getLabelDetectionResponse_labelModelVersion - Version number of the label detection model that was used to detect labels.

GetLabelDetectionResponse, getLabelDetectionResponse_labels - An array of labels detected in the video. Each element contains the detected label and the time, in milliseconds from the start of the video, that the label was detected.

GetLabelDetection, getLabelDetectionResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of labels.

GetLabelDetectionResponse, getLabelDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetLabelDetectionResponse', getLabelDetectionResponse_videoMetadata - Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.

$sel:httpStatus:GetLabelDetectionResponse', getLabelDetectionResponse_httpStatus - The response's http status code.

GetPersonTracking

data GetPersonTracking Source #

See: newGetPersonTracking smart constructor.

Constructors

GetPersonTracking' (Maybe Natural) (Maybe Text) (Maybe PersonTrackingSortBy) Text

Instances

Instances details

ToJSON GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods toJSON :: GetPersonTracking -> Value # toEncoding :: GetPersonTracking -> Encoding # toJSONList :: [GetPersonTracking] -> Value # toEncodingList :: [GetPersonTracking] -> Encoding #
ToHeaders GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods toHeaders :: GetPersonTracking -> [Header] #
ToPath GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods toPath :: GetPersonTracking -> ByteString #
ToQuery GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods toQuery :: GetPersonTracking -> QueryString #
AWSRequest GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Associated Types type AWSResponse GetPersonTracking # Methods request :: (Service -> Service) -> GetPersonTracking -> Request GetPersonTracking # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetPersonTracking -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetPersonTracking))) #
Generic GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Associated Types type Rep GetPersonTracking :: Type -> Type # Methods from :: GetPersonTracking -> Rep GetPersonTracking x # to :: Rep GetPersonTracking x -> GetPersonTracking #
Read GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods readsPrec :: Int -> ReadS GetPersonTracking # readList :: ReadS [GetPersonTracking] # readPrec :: ReadPrec GetPersonTracking # readListPrec :: ReadPrec [GetPersonTracking] #
Show GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods showsPrec :: Int -> GetPersonTracking -> ShowS # show :: GetPersonTracking -> String # showList :: [GetPersonTracking] -> ShowS #
NFData GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods rnf :: GetPersonTracking -> () #
Eq GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods (==) :: GetPersonTracking -> GetPersonTracking -> Bool # (/=) :: GetPersonTracking -> GetPersonTracking -> Bool #
Hashable GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods hashWithSalt :: Int -> GetPersonTracking -> Int # hash :: GetPersonTracking -> Int #
type AWSResponse GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type AWSResponse GetPersonTracking = GetPersonTrackingResponse
type Rep GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type Rep GetPersonTracking = D1 ('MetaData "GetPersonTracking" "Amazonka.Rekognition.GetPersonTracking" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetPersonTracking'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonTrackingSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetPersonTracking Source #

Arguments

:: Text	`$sel:jobId:GetPersonTracking'`
-> GetPersonTracking

Create a value of GetPersonTracking with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetPersonTracking', getPersonTracking_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

GetPersonTracking, getPersonTracking_nextToken - If the previous response was incomplete (because there are more persons to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of persons.

$sel:sortBy:GetPersonTracking', getPersonTracking_sortBy - Sort to use for elements in the Persons array. Use TIMESTAMP to sort array elements by the time persons are detected. Use INDEX to sort by the tracked persons. If you sort by INDEX, the array elements for each person are sorted by detection confidence. The default sort is by TIMESTAMP.

$sel:jobId:GetPersonTracking', getPersonTracking_jobId - The identifier for a job that tracks persons in a video. You get the JobId from a call to StartPersonTracking.

data GetPersonTrackingResponse Source #

See: newGetPersonTrackingResponse smart constructor.

Constructors

GetPersonTrackingResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe [PersonDetection]) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Associated Types type Rep GetPersonTrackingResponse :: Type -> Type # Methods from :: GetPersonTrackingResponse -> Rep GetPersonTrackingResponse x # to :: Rep GetPersonTrackingResponse x -> GetPersonTrackingResponse #
Read GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods readsPrec :: Int -> ReadS GetPersonTrackingResponse # readList :: ReadS [GetPersonTrackingResponse] # readPrec :: ReadPrec GetPersonTrackingResponse # readListPrec :: ReadPrec [GetPersonTrackingResponse] #
Show GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods showsPrec :: Int -> GetPersonTrackingResponse -> ShowS # show :: GetPersonTrackingResponse -> String # showList :: [GetPersonTrackingResponse] -> ShowS #
NFData GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods rnf :: GetPersonTrackingResponse -> () #
Eq GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods (==) :: GetPersonTrackingResponse -> GetPersonTrackingResponse -> Bool # (/=) :: GetPersonTrackingResponse -> GetPersonTrackingResponse -> Bool #
type Rep GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type Rep GetPersonTrackingResponse = D1 ('MetaData "GetPersonTrackingResponse" "Amazonka.Rekognition.GetPersonTracking" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetPersonTrackingResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PersonDetection])))) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetPersonTrackingResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetPersonTrackingResponse'`
-> GetPersonTrackingResponse

Create a value of GetPersonTrackingResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobStatus:GetPersonTrackingResponse', getPersonTrackingResponse_jobStatus - The current status of the person tracking job.

GetPersonTracking, getPersonTrackingResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of persons.

$sel:persons:GetPersonTrackingResponse', getPersonTrackingResponse_persons - An array of the persons detected in the video and the time(s) their path was tracked throughout the video. An array element will exist for each time a person's path is tracked.

GetPersonTrackingResponse, getPersonTrackingResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetPersonTrackingResponse', getPersonTrackingResponse_videoMetadata - Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.

$sel:httpStatus:GetPersonTrackingResponse', getPersonTrackingResponse_httpStatus - The response's http status code.

GetSegmentDetection

data GetSegmentDetection Source #

See: newGetSegmentDetection smart constructor.

Constructors

GetSegmentDetection' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods toJSON :: GetSegmentDetection -> Value # toEncoding :: GetSegmentDetection -> Encoding # toJSONList :: [GetSegmentDetection] -> Value # toEncodingList :: [GetSegmentDetection] -> Encoding #
ToHeaders GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods toHeaders :: GetSegmentDetection -> [Header] #
ToPath GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods toPath :: GetSegmentDetection -> ByteString #
ToQuery GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods toQuery :: GetSegmentDetection -> QueryString #
AWSRequest GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Associated Types type AWSResponse GetSegmentDetection # Methods request :: (Service -> Service) -> GetSegmentDetection -> Request GetSegmentDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetSegmentDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetSegmentDetection))) #
Generic GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Associated Types type Rep GetSegmentDetection :: Type -> Type # Methods from :: GetSegmentDetection -> Rep GetSegmentDetection x # to :: Rep GetSegmentDetection x -> GetSegmentDetection #
Read GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods readsPrec :: Int -> ReadS GetSegmentDetection # readList :: ReadS [GetSegmentDetection] # readPrec :: ReadPrec GetSegmentDetection # readListPrec :: ReadPrec [GetSegmentDetection] #
Show GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods showsPrec :: Int -> GetSegmentDetection -> ShowS # show :: GetSegmentDetection -> String # showList :: [GetSegmentDetection] -> ShowS #
NFData GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods rnf :: GetSegmentDetection -> () #
Eq GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods (==) :: GetSegmentDetection -> GetSegmentDetection -> Bool # (/=) :: GetSegmentDetection -> GetSegmentDetection -> Bool #
Hashable GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods hashWithSalt :: Int -> GetSegmentDetection -> Int # hash :: GetSegmentDetection -> Int #
type AWSResponse GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type AWSResponse GetSegmentDetection = GetSegmentDetectionResponse
type Rep GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type Rep GetSegmentDetection = D1 ('MetaData "GetSegmentDetection" "Amazonka.Rekognition.GetSegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetSegmentDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetSegmentDetection Source #

Arguments

:: Text	`$sel:jobId:GetSegmentDetection'`
-> GetSegmentDetection

Create a value of GetSegmentDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetSegmentDetection', getSegmentDetection_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000.

GetSegmentDetection, getSegmentDetection_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.

$sel:jobId:GetSegmentDetection', getSegmentDetection_jobId - Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to StartSegmentDetection.

data GetSegmentDetectionResponse Source #

See: newGetSegmentDetectionResponse smart constructor.

Constructors

GetSegmentDetectionResponse' (Maybe [AudioMetadata]) (Maybe VideoJobStatus) (Maybe Text) (Maybe [SegmentDetection]) (Maybe [SegmentTypeInfo]) (Maybe Text) (Maybe [VideoMetadata]) Int

Instances

Instances details

Generic GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Associated Types type Rep GetSegmentDetectionResponse :: Type -> Type # Methods from :: GetSegmentDetectionResponse -> Rep GetSegmentDetectionResponse x # to :: Rep GetSegmentDetectionResponse x -> GetSegmentDetectionResponse #
Read GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods readsPrec :: Int -> ReadS GetSegmentDetectionResponse # readList :: ReadS [GetSegmentDetectionResponse] # readPrec :: ReadPrec GetSegmentDetectionResponse # readListPrec :: ReadPrec [GetSegmentDetectionResponse] #
Show GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods showsPrec :: Int -> GetSegmentDetectionResponse -> ShowS # show :: GetSegmentDetectionResponse -> String # showList :: [GetSegmentDetectionResponse] -> ShowS #
NFData GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods rnf :: GetSegmentDetectionResponse -> () #
Eq GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods (==) :: GetSegmentDetectionResponse -> GetSegmentDetectionResponse -> Bool # (/=) :: GetSegmentDetectionResponse -> GetSegmentDetectionResponse -> Bool #
type Rep GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type Rep GetSegmentDetectionResponse = D1 ('MetaData "GetSegmentDetectionResponse" "Amazonka.Rekognition.GetSegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetSegmentDetectionResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "audioMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AudioMetadata])) :: S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus))) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "segments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SegmentDetection])))) :: ((S1 ('MetaSel ('Just "selectedSegmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SegmentTypeInfo])) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [VideoMetadata])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetSegmentDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetSegmentDetectionResponse'`
-> GetSegmentDetectionResponse

Create a value of GetSegmentDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:audioMetadata:GetSegmentDetectionResponse', getSegmentDetectionResponse_audioMetadata - An array of objects. There can be multiple audio streams. Each AudioMetadata object contains metadata for a single audio stream. Audio information in an AudioMetadata objects includes the audio codec, the number of audio channels, the duration of the audio stream, and the sample rate. Audio metadata is returned in each page of information returned by GetSegmentDetection.

$sel:jobStatus:GetSegmentDetectionResponse', getSegmentDetectionResponse_jobStatus - Current status of the segment detection job.

GetSegmentDetection, getSegmentDetectionResponse_nextToken - If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of text.

$sel:segments:GetSegmentDetectionResponse', getSegmentDetectionResponse_segments - An array of segments detected in a video. The array is sorted by the segment types (TECHNICAL_CUE or SHOT) specified in the SegmentTypes input parameter of StartSegmentDetection. Within each segment type the array is sorted by timestamp values.

$sel:selectedSegmentTypes:GetSegmentDetectionResponse', getSegmentDetectionResponse_selectedSegmentTypes - An array containing the segment types requested in the call to StartSegmentDetection.

GetSegmentDetectionResponse, getSegmentDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:videoMetadata:GetSegmentDetectionResponse', getSegmentDetectionResponse_videoMetadata - Currently, Amazon Rekognition Video returns a single object in the VideoMetadata array. The object contains information about the video stream in the input file that Amazon Rekognition Video chose to analyze. The VideoMetadata object includes the video codec, video format and other information. Video metadata is returned in each page of information returned by GetSegmentDetection.

$sel:httpStatus:GetSegmentDetectionResponse', getSegmentDetectionResponse_httpStatus - The response's http status code.

GetTextDetection

data GetTextDetection Source #

See: newGetTextDetection smart constructor.

Constructors

GetTextDetection' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods toJSON :: GetTextDetection -> Value # toEncoding :: GetTextDetection -> Encoding # toJSONList :: [GetTextDetection] -> Value # toEncodingList :: [GetTextDetection] -> Encoding #
ToHeaders GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods toHeaders :: GetTextDetection -> [Header] #
ToPath GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods toPath :: GetTextDetection -> ByteString #
ToQuery GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods toQuery :: GetTextDetection -> QueryString #
AWSRequest GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Associated Types type AWSResponse GetTextDetection # Methods request :: (Service -> Service) -> GetTextDetection -> Request GetTextDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy GetTextDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetTextDetection))) #
Generic GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Associated Types type Rep GetTextDetection :: Type -> Type # Methods from :: GetTextDetection -> Rep GetTextDetection x # to :: Rep GetTextDetection x -> GetTextDetection #
Read GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods readsPrec :: Int -> ReadS GetTextDetection # readList :: ReadS [GetTextDetection] # readPrec :: ReadPrec GetTextDetection # readListPrec :: ReadPrec [GetTextDetection] #
Show GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods showsPrec :: Int -> GetTextDetection -> ShowS # show :: GetTextDetection -> String # showList :: [GetTextDetection] -> ShowS #
NFData GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods rnf :: GetTextDetection -> () #
Eq GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods (==) :: GetTextDetection -> GetTextDetection -> Bool # (/=) :: GetTextDetection -> GetTextDetection -> Bool #
Hashable GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods hashWithSalt :: Int -> GetTextDetection -> Int # hash :: GetTextDetection -> Int #
type AWSResponse GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type AWSResponse GetTextDetection = GetTextDetectionResponse
type Rep GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type Rep GetTextDetection = D1 ('MetaData "GetTextDetection" "Amazonka.Rekognition.GetTextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetTextDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGetTextDetection Source #

Arguments

:: Text	`$sel:jobId:GetTextDetection'`
-> GetTextDetection

Create a value of GetTextDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:GetTextDetection', getTextDetection_maxResults - Maximum number of results to return per paginated call. The largest value you can specify is 1000.

GetTextDetection, getTextDetection_nextToken - If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of text.

$sel:jobId:GetTextDetection', getTextDetection_jobId - Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to StartTextDetection.

data GetTextDetectionResponse Source #

See: newGetTextDetectionResponse smart constructor.

Constructors

GetTextDetectionResponse' (Maybe VideoJobStatus) (Maybe Text) (Maybe Text) (Maybe [TextDetectionResult]) (Maybe Text) (Maybe VideoMetadata) Int

Instances

Instances details

Generic GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Associated Types type Rep GetTextDetectionResponse :: Type -> Type # Methods from :: GetTextDetectionResponse -> Rep GetTextDetectionResponse x # to :: Rep GetTextDetectionResponse x -> GetTextDetectionResponse #
Read GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods readsPrec :: Int -> ReadS GetTextDetectionResponse # readList :: ReadS [GetTextDetectionResponse] # readPrec :: ReadPrec GetTextDetectionResponse # readListPrec :: ReadPrec [GetTextDetectionResponse] #
Show GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods showsPrec :: Int -> GetTextDetectionResponse -> ShowS # show :: GetTextDetectionResponse -> String # showList :: [GetTextDetectionResponse] -> ShowS #
NFData GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods rnf :: GetTextDetectionResponse -> () #
Eq GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods (==) :: GetTextDetectionResponse -> GetTextDetectionResponse -> Bool # (/=) :: GetTextDetectionResponse -> GetTextDetectionResponse -> Bool #
type Rep GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type Rep GetTextDetectionResponse = D1 ('MetaData "GetTextDetectionResponse" "Amazonka.Rekognition.GetTextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GetTextDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "textDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TextDetectionResult])) :: S1 ('MetaSel ('Just "textModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newGetTextDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:GetTextDetectionResponse'`
-> GetTextDetectionResponse

Create a value of GetTextDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobStatus:GetTextDetectionResponse', getTextDetectionResponse_jobStatus - Current status of the text detection job.

GetTextDetection, getTextDetectionResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.

GetTextDetectionResponse, getTextDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel:textDetections:GetTextDetectionResponse', getTextDetectionResponse_textDetections - An array of text detected in the video. Each element contains the detected text, the time in milliseconds from the start of the video that the text was detected, and where it was detected on the screen.

$sel:textModelVersion:GetTextDetectionResponse', getTextDetectionResponse_textModelVersion - Version number of the text detection model that was used to detect text.

$sel:videoMetadata:GetTextDetectionResponse', getTextDetectionResponse_videoMetadata - Undocumented member.

$sel:httpStatus:GetTextDetectionResponse', getTextDetectionResponse_httpStatus - The response's http status code.

IndexFaces

data IndexFaces Source #

See: newIndexFaces smart constructor.

Constructors

IndexFaces' (Maybe [Attribute]) (Maybe Text) (Maybe Natural) (Maybe QualityFilter) Text Image

Instances

Instances details

ToJSON IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods toJSON :: IndexFaces -> Value # toEncoding :: IndexFaces -> Encoding # toJSONList :: [IndexFaces] -> Value # toEncodingList :: [IndexFaces] -> Encoding #
ToHeaders IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods toHeaders :: IndexFaces -> [Header] #
ToPath IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods toPath :: IndexFaces -> ByteString #
ToQuery IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods toQuery :: IndexFaces -> QueryString #
AWSRequest IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Associated Types type AWSResponse IndexFaces # Methods request :: (Service -> Service) -> IndexFaces -> Request IndexFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy IndexFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse IndexFaces))) #
Generic IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Associated Types type Rep IndexFaces :: Type -> Type # Methods from :: IndexFaces -> Rep IndexFaces x # to :: Rep IndexFaces x -> IndexFaces #
Read IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods readsPrec :: Int -> ReadS IndexFaces # readList :: ReadS [IndexFaces] # readPrec :: ReadPrec IndexFaces # readListPrec :: ReadPrec [IndexFaces] #
Show IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods showsPrec :: Int -> IndexFaces -> ShowS # show :: IndexFaces -> String # showList :: [IndexFaces] -> ShowS #
NFData IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods rnf :: IndexFaces -> () #
Eq IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods (==) :: IndexFaces -> IndexFaces -> Bool # (/=) :: IndexFaces -> IndexFaces -> Bool #
Hashable IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods hashWithSalt :: Int -> IndexFaces -> Int # hash :: IndexFaces -> Int #
type AWSResponse IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type AWSResponse IndexFaces = IndexFacesResponse
type Rep IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type Rep IndexFaces = D1 ('MetaData "IndexFaces" "Amazonka.Rekognition.IndexFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "IndexFaces'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "detectionAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Attribute])) :: (S1 ('MetaSel ('Just "externalImageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: (S1 ('MetaSel ('Just "qualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityFilter)) :: (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))))

newIndexFaces Source #

Arguments

:: Text	`IndexFaces`
-> Image	`$sel:image:IndexFaces'`
-> IndexFaces

Create a value of IndexFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:detectionAttributes:IndexFaces', indexFaces_detectionAttributes - An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.

If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).

IndexFaces, indexFaces_externalImageId - The ID you want to assign to all the faces detected in the image.

$sel:maxFaces:IndexFaces', indexFaces_maxFaces - The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.

If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.

The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.

MaxFaces can be used with a collection associated with any version of the face model.

$sel:qualityFilter:IndexFaces', indexFaces_qualityFilter - A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.

To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.

IndexFaces, indexFaces_collectionId - The ID of an existing collection to which you want to add the faces that are detected in the input images.

$sel:image:IndexFaces', indexFaces_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data IndexFacesResponse Source #

See: newIndexFacesResponse smart constructor.

Constructors

IndexFacesResponse' (Maybe Text) (Maybe [FaceRecord]) (Maybe OrientationCorrection) (Maybe [UnindexedFace]) Int

Instances

Instances details

Generic IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Associated Types type Rep IndexFacesResponse :: Type -> Type # Methods from :: IndexFacesResponse -> Rep IndexFacesResponse x # to :: Rep IndexFacesResponse x -> IndexFacesResponse #
Read IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods readsPrec :: Int -> ReadS IndexFacesResponse # readList :: ReadS [IndexFacesResponse] # readPrec :: ReadPrec IndexFacesResponse # readListPrec :: ReadPrec [IndexFacesResponse] #
Show IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods showsPrec :: Int -> IndexFacesResponse -> ShowS # show :: IndexFacesResponse -> String # showList :: [IndexFacesResponse] -> ShowS #
NFData IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods rnf :: IndexFacesResponse -> () #
Eq IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods (==) :: IndexFacesResponse -> IndexFacesResponse -> Bool # (/=) :: IndexFacesResponse -> IndexFacesResponse -> Bool #
type Rep IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type Rep IndexFacesResponse = D1 ('MetaData "IndexFacesResponse" "Amazonka.Rekognition.IndexFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "IndexFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "faceRecords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceRecord]))) :: (S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: (S1 ('MetaSel ('Just "unindexedFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [UnindexedFace])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newIndexFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:IndexFacesResponse'`
-> IndexFacesResponse

Create a value of IndexFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faceModelVersion:IndexFacesResponse', indexFacesResponse_faceModelVersion - The version number of the face detection model that's associated with the input collection (CollectionId).

$sel:faceRecords:IndexFacesResponse', indexFacesResponse_faceRecords - An array of faces detected and added to the collection. For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.

$sel:orientationCorrection:IndexFacesResponse', indexFacesResponse_orientationCorrection - If your collection is associated with a face detection model that's later than version 3.0, the value of OrientationCorrection is always null and no orientation information is returned.

If your collection is associated with a face detection model that's version 3.0 or earlier, the following applies:

If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction - the bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata. The value of OrientationCorrection is null.
If the image doesn't contain orientation information in its Exif metadata, Amazon Rekognition returns an estimated orientation (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t perform image correction for images. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.

Bounding box information is returned in the FaceRecords array. You can get the version of the face detection model by calling DescribeCollection.

$sel:unindexedFaces:IndexFacesResponse', indexFacesResponse_unindexedFaces - An array of faces that were detected in the image but weren't indexed. They weren't indexed because the quality filter identified them as low quality, or the MaxFaces request parameter filtered them out. To use the quality filter, you specify the QualityFilter request parameter.

$sel:httpStatus:IndexFacesResponse', indexFacesResponse_httpStatus - The response's http status code.

ListCollections (Paginated)

data ListCollections Source #

See: newListCollections smart constructor.

Constructors

ListCollections' (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods toJSON :: ListCollections -> Value # toEncoding :: ListCollections -> Encoding # toJSONList :: [ListCollections] -> Value # toEncodingList :: [ListCollections] -> Encoding #
ToHeaders ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods toHeaders :: ListCollections -> [Header] #
ToPath ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods toPath :: ListCollections -> ByteString #
ToQuery ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods toQuery :: ListCollections -> QueryString #
AWSPager ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods page :: ListCollections -> AWSResponse ListCollections -> Maybe ListCollections #
AWSRequest ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Associated Types type AWSResponse ListCollections # Methods request :: (Service -> Service) -> ListCollections -> Request ListCollections # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListCollections -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListCollections))) #
Generic ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Associated Types type Rep ListCollections :: Type -> Type # Methods from :: ListCollections -> Rep ListCollections x # to :: Rep ListCollections x -> ListCollections #
Read ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods readsPrec :: Int -> ReadS ListCollections # readList :: ReadS [ListCollections] # readPrec :: ReadPrec ListCollections # readListPrec :: ReadPrec [ListCollections] #
Show ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods showsPrec :: Int -> ListCollections -> ShowS # show :: ListCollections -> String # showList :: [ListCollections] -> ShowS #
NFData ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods rnf :: ListCollections -> () #
Eq ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods (==) :: ListCollections -> ListCollections -> Bool # (/=) :: ListCollections -> ListCollections -> Bool #
Hashable ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods hashWithSalt :: Int -> ListCollections -> Int # hash :: ListCollections -> Int #
type AWSResponse ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type AWSResponse ListCollections = ListCollectionsResponse
type Rep ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type Rep ListCollections = D1 ('MetaData "ListCollections" "Amazonka.Rekognition.ListCollections" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListCollections'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newListCollections :: ListCollections Source #

Create a value of ListCollections with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:ListCollections', listCollections_maxResults - Maximum number of collection IDs to return.

ListCollections, listCollections_nextToken - Pagination token from the previous response.

data ListCollectionsResponse Source #

See: newListCollectionsResponse smart constructor.

Constructors

ListCollectionsResponse' (Maybe [Text]) (Maybe [Text]) (Maybe Text) Int

Instances

Instances details

Generic ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Associated Types type Rep ListCollectionsResponse :: Type -> Type # Methods from :: ListCollectionsResponse -> Rep ListCollectionsResponse x # to :: Rep ListCollectionsResponse x -> ListCollectionsResponse #
Read ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods readsPrec :: Int -> ReadS ListCollectionsResponse # readList :: ReadS [ListCollectionsResponse] # readPrec :: ReadPrec ListCollectionsResponse # readListPrec :: ReadPrec [ListCollectionsResponse] #
Show ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods showsPrec :: Int -> ListCollectionsResponse -> ShowS # show :: ListCollectionsResponse -> String # showList :: [ListCollectionsResponse] -> ShowS #
NFData ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods rnf :: ListCollectionsResponse -> () #
Eq ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods (==) :: ListCollectionsResponse -> ListCollectionsResponse -> Bool # (/=) :: ListCollectionsResponse -> ListCollectionsResponse -> Bool #
type Rep ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type Rep ListCollectionsResponse = D1 ('MetaData "ListCollectionsResponse" "Amazonka.Rekognition.ListCollections" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListCollectionsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "collectionIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "faceModelVersions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListCollectionsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListCollectionsResponse'`
-> ListCollectionsResponse

Create a value of ListCollectionsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionIds:ListCollectionsResponse', listCollectionsResponse_collectionIds - An array of collection IDs.

$sel:faceModelVersions:ListCollectionsResponse', listCollectionsResponse_faceModelVersions - Version numbers of the face detection models associated with the collections in the array CollectionIds. For example, the value of FaceModelVersions[2] is the version number for the face detection model used by the collection in CollectionId[2].

ListCollections, listCollectionsResponse_nextToken - If the result is truncated, the response provides a NextToken that you can use in the subsequent request to fetch the next set of collection IDs.

$sel:httpStatus:ListCollectionsResponse', listCollectionsResponse_httpStatus - The response's http status code.

ListDatasetEntries (Paginated)

data ListDatasetEntries Source #

See: newListDatasetEntries smart constructor.

Constructors

ListDatasetEntries' (Maybe (NonEmpty Text)) (Maybe Bool) (Maybe Bool) (Maybe Natural) (Maybe Text) (Maybe Text) Text

Instances

Instances details

ToJSON ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods toJSON :: ListDatasetEntries -> Value # toEncoding :: ListDatasetEntries -> Encoding # toJSONList :: [ListDatasetEntries] -> Value # toEncodingList :: [ListDatasetEntries] -> Encoding #
ToHeaders ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods toHeaders :: ListDatasetEntries -> [Header] #
ToPath ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods toPath :: ListDatasetEntries -> ByteString #
ToQuery ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods toQuery :: ListDatasetEntries -> QueryString #
AWSPager ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods page :: ListDatasetEntries -> AWSResponse ListDatasetEntries -> Maybe ListDatasetEntries #
AWSRequest ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Associated Types type AWSResponse ListDatasetEntries # Methods request :: (Service -> Service) -> ListDatasetEntries -> Request ListDatasetEntries # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListDatasetEntries -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetEntries))) #
Generic ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Associated Types type Rep ListDatasetEntries :: Type -> Type # Methods from :: ListDatasetEntries -> Rep ListDatasetEntries x # to :: Rep ListDatasetEntries x -> ListDatasetEntries #
Read ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods readsPrec :: Int -> ReadS ListDatasetEntries # readList :: ReadS [ListDatasetEntries] # readPrec :: ReadPrec ListDatasetEntries # readListPrec :: ReadPrec [ListDatasetEntries] #
Show ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods showsPrec :: Int -> ListDatasetEntries -> ShowS # show :: ListDatasetEntries -> String # showList :: [ListDatasetEntries] -> ShowS #
NFData ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods rnf :: ListDatasetEntries -> () #
Eq ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods (==) :: ListDatasetEntries -> ListDatasetEntries -> Bool # (/=) :: ListDatasetEntries -> ListDatasetEntries -> Bool #
Hashable ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods hashWithSalt :: Int -> ListDatasetEntries -> Int # hash :: ListDatasetEntries -> Int #
type AWSResponse ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries type AWSResponse ListDatasetEntries = ListDatasetEntriesResponse
type Rep ListDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries type Rep ListDatasetEntries = D1 ('MetaData "ListDatasetEntries" "Amazonka.Rekognition.ListDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListDatasetEntries'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containsLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "hasErrors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "labeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: ((S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sourceRefContains") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newListDatasetEntries Source #

Arguments

:: Text	`ListDatasetEntries`
-> ListDatasetEntries

Create a value of ListDatasetEntries with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containsLabels:ListDatasetEntries', listDatasetEntries_containsLabels - Specifies a label filter for the response. The response includes an entry only if one or more of the labels in ContainsLabels exist in the entry.

$sel:hasErrors:ListDatasetEntries', listDatasetEntries_hasErrors - Specifies an error filter for the response. Specify True to only include entries that have errors.

$sel:labeled:ListDatasetEntries', listDatasetEntries_labeled - Specify true to get only the JSON Lines where the image is labeled. Specify false to get only the JSON Lines where the image isn't labeled. If you don't specify Labeled, ListDatasetEntries returns JSON Lines for labeled and unlabeled images.

$sel:maxResults:ListDatasetEntries', listDatasetEntries_maxResults - The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

ListDatasetEntries, listDatasetEntries_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:sourceRefContains:ListDatasetEntries', listDatasetEntries_sourceRefContains - If specified, ListDatasetEntries only returns JSON Lines where the value of SourceRefContains is part of the source-ref field. The source-ref field contains the Amazon S3 location of the image. You can use SouceRefContains for tasks such as getting the JSON Line for a single image, or gettting JSON Lines for all images within a specific folder.

ListDatasetEntries, listDatasetEntries_datasetArn - The Amazon Resource Name (ARN) for the dataset that you want to use.

data ListDatasetEntriesResponse Source #

See: newListDatasetEntriesResponse smart constructor.

Constructors

ListDatasetEntriesResponse' (Maybe [Text]) (Maybe Text) Int

Instances

Instances details

Generic ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Associated Types type Rep ListDatasetEntriesResponse :: Type -> Type # Methods from :: ListDatasetEntriesResponse -> Rep ListDatasetEntriesResponse x # to :: Rep ListDatasetEntriesResponse x -> ListDatasetEntriesResponse #
Read ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods readsPrec :: Int -> ReadS ListDatasetEntriesResponse # readList :: ReadS [ListDatasetEntriesResponse] # readPrec :: ReadPrec ListDatasetEntriesResponse # readListPrec :: ReadPrec [ListDatasetEntriesResponse] #
Show ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods showsPrec :: Int -> ListDatasetEntriesResponse -> ShowS # show :: ListDatasetEntriesResponse -> String # showList :: [ListDatasetEntriesResponse] -> ShowS #
NFData ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods rnf :: ListDatasetEntriesResponse -> () #
Eq ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries Methods (==) :: ListDatasetEntriesResponse -> ListDatasetEntriesResponse -> Bool # (/=) :: ListDatasetEntriesResponse -> ListDatasetEntriesResponse -> Bool #
type Rep ListDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetEntries type Rep ListDatasetEntriesResponse = D1 ('MetaData "ListDatasetEntriesResponse" "Amazonka.Rekognition.ListDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListDatasetEntriesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetEntries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListDatasetEntriesResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListDatasetEntriesResponse'`
-> ListDatasetEntriesResponse

Create a value of ListDatasetEntriesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetEntries:ListDatasetEntriesResponse', listDatasetEntriesResponse_datasetEntries - A list of entries (images) in the dataset.

ListDatasetEntries, listDatasetEntriesResponse_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:httpStatus:ListDatasetEntriesResponse', listDatasetEntriesResponse_httpStatus - The response's http status code.

ListDatasetLabels (Paginated)

data ListDatasetLabels Source #

See: newListDatasetLabels smart constructor.

Constructors

ListDatasetLabels' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods toJSON :: ListDatasetLabels -> Value # toEncoding :: ListDatasetLabels -> Encoding # toJSONList :: [ListDatasetLabels] -> Value # toEncodingList :: [ListDatasetLabels] -> Encoding #
ToHeaders ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods toHeaders :: ListDatasetLabels -> [Header] #
ToPath ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods toPath :: ListDatasetLabels -> ByteString #
ToQuery ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods toQuery :: ListDatasetLabels -> QueryString #
AWSPager ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods page :: ListDatasetLabels -> AWSResponse ListDatasetLabels -> Maybe ListDatasetLabels #
AWSRequest ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Associated Types type AWSResponse ListDatasetLabels # Methods request :: (Service -> Service) -> ListDatasetLabels -> Request ListDatasetLabels # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListDatasetLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListDatasetLabels))) #
Generic ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Associated Types type Rep ListDatasetLabels :: Type -> Type # Methods from :: ListDatasetLabels -> Rep ListDatasetLabels x # to :: Rep ListDatasetLabels x -> ListDatasetLabels #
Read ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods readsPrec :: Int -> ReadS ListDatasetLabels # readList :: ReadS [ListDatasetLabels] # readPrec :: ReadPrec ListDatasetLabels # readListPrec :: ReadPrec [ListDatasetLabels] #
Show ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods showsPrec :: Int -> ListDatasetLabels -> ShowS # show :: ListDatasetLabels -> String # showList :: [ListDatasetLabels] -> ShowS #
NFData ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods rnf :: ListDatasetLabels -> () #
Eq ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods (==) :: ListDatasetLabels -> ListDatasetLabels -> Bool # (/=) :: ListDatasetLabels -> ListDatasetLabels -> Bool #
Hashable ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods hashWithSalt :: Int -> ListDatasetLabels -> Int # hash :: ListDatasetLabels -> Int #
type AWSResponse ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels type AWSResponse ListDatasetLabels = ListDatasetLabelsResponse
type Rep ListDatasetLabels Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels type Rep ListDatasetLabels = D1 ('MetaData "ListDatasetLabels" "Amazonka.Rekognition.ListDatasetLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListDatasetLabels'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newListDatasetLabels Source #

Arguments

:: Text	`ListDatasetLabels`
-> ListDatasetLabels

Create a value of ListDatasetLabels with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:ListDatasetLabels', listDatasetLabels_maxResults - The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

ListDatasetLabels, listDatasetLabels_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

ListDatasetLabels, listDatasetLabels_datasetArn - The Amazon Resource Name (ARN) of the dataset that you want to use.

data ListDatasetLabelsResponse Source #

See: newListDatasetLabelsResponse smart constructor.

Constructors

ListDatasetLabelsResponse' (Maybe [DatasetLabelDescription]) (Maybe Text) Int

Instances

Instances details

Generic ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Associated Types type Rep ListDatasetLabelsResponse :: Type -> Type # Methods from :: ListDatasetLabelsResponse -> Rep ListDatasetLabelsResponse x # to :: Rep ListDatasetLabelsResponse x -> ListDatasetLabelsResponse #
Read ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods readsPrec :: Int -> ReadS ListDatasetLabelsResponse # readList :: ReadS [ListDatasetLabelsResponse] # readPrec :: ReadPrec ListDatasetLabelsResponse # readListPrec :: ReadPrec [ListDatasetLabelsResponse] #
Show ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods showsPrec :: Int -> ListDatasetLabelsResponse -> ShowS # show :: ListDatasetLabelsResponse -> String # showList :: [ListDatasetLabelsResponse] -> ShowS #
NFData ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods rnf :: ListDatasetLabelsResponse -> () #
Eq ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels Methods (==) :: ListDatasetLabelsResponse -> ListDatasetLabelsResponse -> Bool # (/=) :: ListDatasetLabelsResponse -> ListDatasetLabelsResponse -> Bool #
type Rep ListDatasetLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListDatasetLabels type Rep ListDatasetLabelsResponse = D1 ('MetaData "ListDatasetLabelsResponse" "Amazonka.Rekognition.ListDatasetLabels" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListDatasetLabelsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetLabelDescriptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetLabelDescription])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListDatasetLabelsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListDatasetLabelsResponse'`
-> ListDatasetLabelsResponse

Create a value of ListDatasetLabelsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetLabelDescriptions:ListDatasetLabelsResponse', listDatasetLabelsResponse_datasetLabelDescriptions - A list of the labels in the dataset.

ListDatasetLabels, listDatasetLabelsResponse_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

$sel:httpStatus:ListDatasetLabelsResponse', listDatasetLabelsResponse_httpStatus - The response's http status code.

ListFaces (Paginated)

data ListFaces Source #

See: newListFaces smart constructor.

Constructors

ListFaces' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods toJSON :: ListFaces -> Value # toEncoding :: ListFaces -> Encoding # toJSONList :: [ListFaces] -> Value # toEncodingList :: [ListFaces] -> Encoding #
ToHeaders ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods toHeaders :: ListFaces -> [Header] #
ToPath ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods toPath :: ListFaces -> ByteString #
ToQuery ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods toQuery :: ListFaces -> QueryString #
AWSPager ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods page :: ListFaces -> AWSResponse ListFaces -> Maybe ListFaces #
AWSRequest ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Associated Types type AWSResponse ListFaces # Methods request :: (Service -> Service) -> ListFaces -> Request ListFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListFaces))) #
Generic ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Associated Types type Rep ListFaces :: Type -> Type # Methods from :: ListFaces -> Rep ListFaces x # to :: Rep ListFaces x -> ListFaces #
Read ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods readsPrec :: Int -> ReadS ListFaces # readList :: ReadS [ListFaces] # readPrec :: ReadPrec ListFaces # readListPrec :: ReadPrec [ListFaces] #
Show ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods showsPrec :: Int -> ListFaces -> ShowS # show :: ListFaces -> String # showList :: [ListFaces] -> ShowS #
NFData ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods rnf :: ListFaces -> () #
Eq ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods (==) :: ListFaces -> ListFaces -> Bool # (/=) :: ListFaces -> ListFaces -> Bool #
Hashable ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods hashWithSalt :: Int -> ListFaces -> Int # hash :: ListFaces -> Int #
type AWSResponse ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type AWSResponse ListFaces = ListFacesResponse
type Rep ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type Rep ListFaces = D1 ('MetaData "ListFaces" "Amazonka.Rekognition.ListFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListFaces'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newListFaces Source #

Arguments

:: Text	`ListFaces`
-> ListFaces

Create a value of ListFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:ListFaces', listFaces_maxResults - Maximum number of faces to return.

ListFaces, listFaces_nextToken - If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.

ListFaces, listFaces_collectionId - ID of the collection from which to list the faces.

data ListFacesResponse Source #

See: newListFacesResponse smart constructor.

Constructors

ListFacesResponse' (Maybe Text) (Maybe [Face]) (Maybe Text) Int

Instances

Instances details

Generic ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Associated Types type Rep ListFacesResponse :: Type -> Type # Methods from :: ListFacesResponse -> Rep ListFacesResponse x # to :: Rep ListFacesResponse x -> ListFacesResponse #
Read ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods readsPrec :: Int -> ReadS ListFacesResponse # readList :: ReadS [ListFacesResponse] # readPrec :: ReadPrec ListFacesResponse # readListPrec :: ReadPrec [ListFacesResponse] #
Show ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods showsPrec :: Int -> ListFacesResponse -> ShowS # show :: ListFacesResponse -> String # showList :: [ListFacesResponse] -> ShowS #
NFData ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods rnf :: ListFacesResponse -> () #
Eq ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods (==) :: ListFacesResponse -> ListFacesResponse -> Bool # (/=) :: ListFacesResponse -> ListFacesResponse -> Bool #
type Rep ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type Rep ListFacesResponse = D1 ('MetaData "ListFacesResponse" "Amazonka.Rekognition.ListFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "faces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Face]))) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListFacesResponse'`
-> ListFacesResponse

Create a value of ListFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faceModelVersion:ListFacesResponse', listFacesResponse_faceModelVersion - Version number of the face detection model associated with the input collection (CollectionId).

$sel:faces:ListFacesResponse', listFacesResponse_faces - An array of Face objects.

ListFaces, listFacesResponse_nextToken - If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.

$sel:httpStatus:ListFacesResponse', listFacesResponse_httpStatus - The response's http status code.

ListProjectPolicies (Paginated)

data ListProjectPolicies Source #

See: newListProjectPolicies smart constructor.

Constructors

ListProjectPolicies' (Maybe Natural) (Maybe Text) Text

Instances

Instances details

ToJSON ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods toJSON :: ListProjectPolicies -> Value # toEncoding :: ListProjectPolicies -> Encoding # toJSONList :: [ListProjectPolicies] -> Value # toEncodingList :: [ListProjectPolicies] -> Encoding #
ToHeaders ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods toHeaders :: ListProjectPolicies -> [Header] #
ToPath ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods toPath :: ListProjectPolicies -> ByteString #
ToQuery ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods toQuery :: ListProjectPolicies -> QueryString #
AWSPager ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods page :: ListProjectPolicies -> AWSResponse ListProjectPolicies -> Maybe ListProjectPolicies #
AWSRequest ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Associated Types type AWSResponse ListProjectPolicies # Methods request :: (Service -> Service) -> ListProjectPolicies -> Request ListProjectPolicies # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListProjectPolicies -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListProjectPolicies))) #
Generic ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Associated Types type Rep ListProjectPolicies :: Type -> Type # Methods from :: ListProjectPolicies -> Rep ListProjectPolicies x # to :: Rep ListProjectPolicies x -> ListProjectPolicies #
Read ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods readsPrec :: Int -> ReadS ListProjectPolicies # readList :: ReadS [ListProjectPolicies] # readPrec :: ReadPrec ListProjectPolicies # readListPrec :: ReadPrec [ListProjectPolicies] #
Show ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods showsPrec :: Int -> ListProjectPolicies -> ShowS # show :: ListProjectPolicies -> String # showList :: [ListProjectPolicies] -> ShowS #
NFData ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods rnf :: ListProjectPolicies -> () #
Eq ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods (==) :: ListProjectPolicies -> ListProjectPolicies -> Bool # (/=) :: ListProjectPolicies -> ListProjectPolicies -> Bool #
Hashable ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods hashWithSalt :: Int -> ListProjectPolicies -> Int # hash :: ListProjectPolicies -> Int #
type AWSResponse ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies type AWSResponse ListProjectPolicies = ListProjectPoliciesResponse
type Rep ListProjectPolicies Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies type Rep ListProjectPolicies = D1 ('MetaData "ListProjectPolicies" "Amazonka.Rekognition.ListProjectPolicies" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListProjectPolicies'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newListProjectPolicies Source #

Arguments

:: Text	`ListProjectPolicies`
-> ListProjectPolicies

Create a value of ListProjectPolicies with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:ListProjectPolicies', listProjectPolicies_maxResults - The maximum number of results to return per paginated call. The largest value you can specify is 5. If you specify a value greater than 5, a ValidationException error occurs. The default value is 5.

ListProjectPolicies, listProjectPolicies_nextToken - If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

ListProjectPolicies, listProjectPolicies_projectArn - The ARN of the project for which you want to list the project policies.

data ListProjectPoliciesResponse Source #

See: newListProjectPoliciesResponse smart constructor.

Constructors

ListProjectPoliciesResponse' (Maybe Text) (Maybe [ProjectPolicy]) Int

Instances

Instances details

Generic ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Associated Types type Rep ListProjectPoliciesResponse :: Type -> Type # Methods from :: ListProjectPoliciesResponse -> Rep ListProjectPoliciesResponse x # to :: Rep ListProjectPoliciesResponse x -> ListProjectPoliciesResponse #
Read ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods readsPrec :: Int -> ReadS ListProjectPoliciesResponse # readList :: ReadS [ListProjectPoliciesResponse] # readPrec :: ReadPrec ListProjectPoliciesResponse # readListPrec :: ReadPrec [ListProjectPoliciesResponse] #
Show ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods showsPrec :: Int -> ListProjectPoliciesResponse -> ShowS # show :: ListProjectPoliciesResponse -> String # showList :: [ListProjectPoliciesResponse] -> ShowS #
NFData ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods rnf :: ListProjectPoliciesResponse -> () #
Eq ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies Methods (==) :: ListProjectPoliciesResponse -> ListProjectPoliciesResponse -> Bool # (/=) :: ListProjectPoliciesResponse -> ListProjectPoliciesResponse -> Bool #
type Rep ListProjectPoliciesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListProjectPolicies type Rep ListProjectPoliciesResponse = D1 ('MetaData "ListProjectPoliciesResponse" "Amazonka.Rekognition.ListProjectPolicies" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListProjectPoliciesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectPolicies") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProjectPolicy])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListProjectPoliciesResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListProjectPoliciesResponse'`
-> ListProjectPoliciesResponse

Create a value of ListProjectPoliciesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ListProjectPolicies, listProjectPoliciesResponse_nextToken - If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of project policies.

$sel:projectPolicies:ListProjectPoliciesResponse', listProjectPoliciesResponse_projectPolicies - A list of project policies attached to the project.

$sel:httpStatus:ListProjectPoliciesResponse', listProjectPoliciesResponse_httpStatus - The response's http status code.

ListStreamProcessors (Paginated)

data ListStreamProcessors Source #

See: newListStreamProcessors smart constructor.

Constructors

ListStreamProcessors' (Maybe Natural) (Maybe Text)

Instances

Instances details

ToJSON ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods toJSON :: ListStreamProcessors -> Value # toEncoding :: ListStreamProcessors -> Encoding # toJSONList :: [ListStreamProcessors] -> Value # toEncodingList :: [ListStreamProcessors] -> Encoding #
ToHeaders ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods toHeaders :: ListStreamProcessors -> [Header] #
ToPath ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods toPath :: ListStreamProcessors -> ByteString #
ToQuery ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods toQuery :: ListStreamProcessors -> QueryString #
AWSPager ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods page :: ListStreamProcessors -> AWSResponse ListStreamProcessors -> Maybe ListStreamProcessors #
AWSRequest ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Associated Types type AWSResponse ListStreamProcessors # Methods request :: (Service -> Service) -> ListStreamProcessors -> Request ListStreamProcessors # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListStreamProcessors -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListStreamProcessors))) #
Generic ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Associated Types type Rep ListStreamProcessors :: Type -> Type # Methods from :: ListStreamProcessors -> Rep ListStreamProcessors x # to :: Rep ListStreamProcessors x -> ListStreamProcessors #
Read ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods readsPrec :: Int -> ReadS ListStreamProcessors # readList :: ReadS [ListStreamProcessors] # readPrec :: ReadPrec ListStreamProcessors # readListPrec :: ReadPrec [ListStreamProcessors] #
Show ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods showsPrec :: Int -> ListStreamProcessors -> ShowS # show :: ListStreamProcessors -> String # showList :: [ListStreamProcessors] -> ShowS #
NFData ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods rnf :: ListStreamProcessors -> () #
Eq ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods (==) :: ListStreamProcessors -> ListStreamProcessors -> Bool # (/=) :: ListStreamProcessors -> ListStreamProcessors -> Bool #
Hashable ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods hashWithSalt :: Int -> ListStreamProcessors -> Int # hash :: ListStreamProcessors -> Int #
type AWSResponse ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type AWSResponse ListStreamProcessors = ListStreamProcessorsResponse
type Rep ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type Rep ListStreamProcessors = D1 ('MetaData "ListStreamProcessors" "Amazonka.Rekognition.ListStreamProcessors" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListStreamProcessors'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newListStreamProcessors :: ListStreamProcessors Source #

Create a value of ListStreamProcessors with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResults:ListStreamProcessors', listStreamProcessors_maxResults - Maximum number of stream processors you want Amazon Rekognition Video to return in the response. The default is 1000.

ListStreamProcessors, listStreamProcessors_nextToken - If the previous response was incomplete (because there are more stream processors to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of stream processors.

data ListStreamProcessorsResponse Source #

See: newListStreamProcessorsResponse smart constructor.

Constructors

ListStreamProcessorsResponse' (Maybe Text) (Maybe [StreamProcessor]) Int

Instances

Instances details

Generic ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Associated Types type Rep ListStreamProcessorsResponse :: Type -> Type # Methods from :: ListStreamProcessorsResponse -> Rep ListStreamProcessorsResponse x # to :: Rep ListStreamProcessorsResponse x -> ListStreamProcessorsResponse #
Read ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods readsPrec :: Int -> ReadS ListStreamProcessorsResponse # readList :: ReadS [ListStreamProcessorsResponse] # readPrec :: ReadPrec ListStreamProcessorsResponse # readListPrec :: ReadPrec [ListStreamProcessorsResponse] #
Show ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods showsPrec :: Int -> ListStreamProcessorsResponse -> ShowS # show :: ListStreamProcessorsResponse -> String # showList :: [ListStreamProcessorsResponse] -> ShowS #
NFData ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods rnf :: ListStreamProcessorsResponse -> () #
Eq ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods (==) :: ListStreamProcessorsResponse -> ListStreamProcessorsResponse -> Bool # (/=) :: ListStreamProcessorsResponse -> ListStreamProcessorsResponse -> Bool #
type Rep ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type Rep ListStreamProcessorsResponse = D1 ('MetaData "ListStreamProcessorsResponse" "Amazonka.Rekognition.ListStreamProcessors" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListStreamProcessorsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "streamProcessors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [StreamProcessor])) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newListStreamProcessorsResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListStreamProcessorsResponse'`
-> ListStreamProcessorsResponse

Create a value of ListStreamProcessorsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ListStreamProcessors, listStreamProcessorsResponse_nextToken - If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of stream processors.

$sel:streamProcessors:ListStreamProcessorsResponse', listStreamProcessorsResponse_streamProcessors - List of stream processors that you have created.

$sel:httpStatus:ListStreamProcessorsResponse', listStreamProcessorsResponse_httpStatus - The response's http status code.

ListTagsForResource

data ListTagsForResource Source #

See: newListTagsForResource smart constructor.

Constructors

ListTagsForResource' Text

Instances

Instances details

ToJSON ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods toJSON :: ListTagsForResource -> Value # toEncoding :: ListTagsForResource -> Encoding # toJSONList :: [ListTagsForResource] -> Value # toEncodingList :: [ListTagsForResource] -> Encoding #
ToHeaders ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods toHeaders :: ListTagsForResource -> [Header] #
ToPath ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods toPath :: ListTagsForResource -> ByteString #
ToQuery ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods toQuery :: ListTagsForResource -> QueryString #
AWSRequest ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Associated Types type AWSResponse ListTagsForResource # Methods request :: (Service -> Service) -> ListTagsForResource -> Request ListTagsForResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy ListTagsForResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListTagsForResource))) #
Generic ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Associated Types type Rep ListTagsForResource :: Type -> Type # Methods from :: ListTagsForResource -> Rep ListTagsForResource x # to :: Rep ListTagsForResource x -> ListTagsForResource #
Read ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods readsPrec :: Int -> ReadS ListTagsForResource # readList :: ReadS [ListTagsForResource] # readPrec :: ReadPrec ListTagsForResource # readListPrec :: ReadPrec [ListTagsForResource] #
Show ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods showsPrec :: Int -> ListTagsForResource -> ShowS # show :: ListTagsForResource -> String # showList :: [ListTagsForResource] -> ShowS #
NFData ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods rnf :: ListTagsForResource -> () #
Eq ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods (==) :: ListTagsForResource -> ListTagsForResource -> Bool # (/=) :: ListTagsForResource -> ListTagsForResource -> Bool #
Hashable ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods hashWithSalt :: Int -> ListTagsForResource -> Int # hash :: ListTagsForResource -> Int #
type AWSResponse ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type AWSResponse ListTagsForResource = ListTagsForResourceResponse
type Rep ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type Rep ListTagsForResource = D1 ('MetaData "ListTagsForResource" "Amazonka.Rekognition.ListTagsForResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListTagsForResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newListTagsForResource Source #

Arguments

:: Text	`$sel:resourceArn:ListTagsForResource'`
-> ListTagsForResource

Create a value of ListTagsForResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resourceArn:ListTagsForResource', listTagsForResource_resourceArn - Amazon Resource Name (ARN) of the model, collection, or stream processor that contains the tags that you want a list of.

data ListTagsForResourceResponse Source #

See: newListTagsForResourceResponse smart constructor.

Constructors

ListTagsForResourceResponse' (Maybe (HashMap Text Text)) Int

Instances

Instances details

Generic ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Associated Types type Rep ListTagsForResourceResponse :: Type -> Type # Methods from :: ListTagsForResourceResponse -> Rep ListTagsForResourceResponse x # to :: Rep ListTagsForResourceResponse x -> ListTagsForResourceResponse #
Read ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods readsPrec :: Int -> ReadS ListTagsForResourceResponse # readList :: ReadS [ListTagsForResourceResponse] # readPrec :: ReadPrec ListTagsForResourceResponse # readListPrec :: ReadPrec [ListTagsForResourceResponse] #
Show ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods showsPrec :: Int -> ListTagsForResourceResponse -> ShowS # show :: ListTagsForResourceResponse -> String # showList :: [ListTagsForResourceResponse] -> ShowS #
NFData ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods rnf :: ListTagsForResourceResponse -> () #
Eq ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods (==) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool # (/=) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool #
type Rep ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type Rep ListTagsForResourceResponse = D1 ('MetaData "ListTagsForResourceResponse" "Amazonka.Rekognition.ListTagsForResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ListTagsForResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newListTagsForResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:ListTagsForResourceResponse'`
-> ListTagsForResourceResponse

Create a value of ListTagsForResourceResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tags:ListTagsForResourceResponse', listTagsForResourceResponse_tags - A list of key-value tags assigned to the resource.

$sel:httpStatus:ListTagsForResourceResponse', listTagsForResourceResponse_httpStatus - The response's http status code.

PutProjectPolicy

data PutProjectPolicy Source #

See: newPutProjectPolicy smart constructor.

Constructors

PutProjectPolicy' (Maybe Text) Text Text Text

Instances

Instances details

ToJSON PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods toJSON :: PutProjectPolicy -> Value # toEncoding :: PutProjectPolicy -> Encoding # toJSONList :: [PutProjectPolicy] -> Value # toEncodingList :: [PutProjectPolicy] -> Encoding #
ToHeaders PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods toHeaders :: PutProjectPolicy -> [Header] #
ToPath PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods toPath :: PutProjectPolicy -> ByteString #
ToQuery PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods toQuery :: PutProjectPolicy -> QueryString #
AWSRequest PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Associated Types type AWSResponse PutProjectPolicy # Methods request :: (Service -> Service) -> PutProjectPolicy -> Request PutProjectPolicy # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy PutProjectPolicy -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse PutProjectPolicy))) #
Generic PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Associated Types type Rep PutProjectPolicy :: Type -> Type # Methods from :: PutProjectPolicy -> Rep PutProjectPolicy x # to :: Rep PutProjectPolicy x -> PutProjectPolicy #
Read PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods readsPrec :: Int -> ReadS PutProjectPolicy # readList :: ReadS [PutProjectPolicy] # readPrec :: ReadPrec PutProjectPolicy # readListPrec :: ReadPrec [PutProjectPolicy] #
Show PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods showsPrec :: Int -> PutProjectPolicy -> ShowS # show :: PutProjectPolicy -> String # showList :: [PutProjectPolicy] -> ShowS #
NFData PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods rnf :: PutProjectPolicy -> () #
Eq PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods (==) :: PutProjectPolicy -> PutProjectPolicy -> Bool # (/=) :: PutProjectPolicy -> PutProjectPolicy -> Bool #
Hashable PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods hashWithSalt :: Int -> PutProjectPolicy -> Int # hash :: PutProjectPolicy -> Int #
type AWSResponse PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy type AWSResponse PutProjectPolicy = PutProjectPolicyResponse
type Rep PutProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy type Rep PutProjectPolicy = D1 ('MetaData "PutProjectPolicy" "Amazonka.Rekognition.PutProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PutProjectPolicy'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "policyRevisionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "policyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "policyDocument") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newPutProjectPolicy Source #

Arguments

:: Text	`PutProjectPolicy`
-> Text	`PutProjectPolicy`
-> Text	`PutProjectPolicy`
-> PutProjectPolicy

Create a value of PutProjectPolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

PutProjectPolicy, putProjectPolicy_policyRevisionId - The revision ID for the Project Policy. Each time you modify a policy, Amazon Rekognition Custom Labels generates and assigns a new PolicyRevisionId and then deletes the previous version of the policy.

PutProjectPolicy, putProjectPolicy_projectArn - The Amazon Resource Name (ARN) of the project that the project policy is attached to.

PutProjectPolicy, putProjectPolicy_policyName - A name for the policy.

PutProjectPolicy, putProjectPolicy_policyDocument - A resource policy to add to the model. The policy is a JSON structure that contains one or more statements that define the policy. The policy must follow the IAM syntax. For more information about the contents of a JSON policy document, see IAM JSON policy reference.

data PutProjectPolicyResponse Source #

See: newPutProjectPolicyResponse smart constructor.

Constructors

PutProjectPolicyResponse' (Maybe Text) Int

Instances

Instances details

Generic PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Associated Types type Rep PutProjectPolicyResponse :: Type -> Type # Methods from :: PutProjectPolicyResponse -> Rep PutProjectPolicyResponse x # to :: Rep PutProjectPolicyResponse x -> PutProjectPolicyResponse #
Read PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods readsPrec :: Int -> ReadS PutProjectPolicyResponse # readList :: ReadS [PutProjectPolicyResponse] # readPrec :: ReadPrec PutProjectPolicyResponse # readListPrec :: ReadPrec [PutProjectPolicyResponse] #
Show PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods showsPrec :: Int -> PutProjectPolicyResponse -> ShowS # show :: PutProjectPolicyResponse -> String # showList :: [PutProjectPolicyResponse] -> ShowS #
NFData PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods rnf :: PutProjectPolicyResponse -> () #
Eq PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy Methods (==) :: PutProjectPolicyResponse -> PutProjectPolicyResponse -> Bool # (/=) :: PutProjectPolicyResponse -> PutProjectPolicyResponse -> Bool #
type Rep PutProjectPolicyResponse Source #
Instance details Defined in Amazonka.Rekognition.PutProjectPolicy type Rep PutProjectPolicyResponse = D1 ('MetaData "PutProjectPolicyResponse" "Amazonka.Rekognition.PutProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PutProjectPolicyResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "policyRevisionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newPutProjectPolicyResponse Source #

Arguments

:: Int	`$sel:httpStatus:PutProjectPolicyResponse'`
-> PutProjectPolicyResponse

Create a value of PutProjectPolicyResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

PutProjectPolicy, putProjectPolicyResponse_policyRevisionId - The ID of the project policy.

$sel:httpStatus:PutProjectPolicyResponse', putProjectPolicyResponse_httpStatus - The response's http status code.

RecognizeCelebrities

data RecognizeCelebrities Source #

See: newRecognizeCelebrities smart constructor.

Constructors

RecognizeCelebrities' Image

Instances

Instances details

ToJSON RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods toJSON :: RecognizeCelebrities -> Value # toEncoding :: RecognizeCelebrities -> Encoding # toJSONList :: [RecognizeCelebrities] -> Value # toEncodingList :: [RecognizeCelebrities] -> Encoding #
ToHeaders RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods toHeaders :: RecognizeCelebrities -> [Header] #
ToPath RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods toPath :: RecognizeCelebrities -> ByteString #
ToQuery RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods toQuery :: RecognizeCelebrities -> QueryString #
AWSRequest RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Associated Types type AWSResponse RecognizeCelebrities # Methods request :: (Service -> Service) -> RecognizeCelebrities -> Request RecognizeCelebrities # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy RecognizeCelebrities -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse RecognizeCelebrities))) #
Generic RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Associated Types type Rep RecognizeCelebrities :: Type -> Type # Methods from :: RecognizeCelebrities -> Rep RecognizeCelebrities x # to :: Rep RecognizeCelebrities x -> RecognizeCelebrities #
Read RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods readsPrec :: Int -> ReadS RecognizeCelebrities # readList :: ReadS [RecognizeCelebrities] # readPrec :: ReadPrec RecognizeCelebrities # readListPrec :: ReadPrec [RecognizeCelebrities] #
Show RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods showsPrec :: Int -> RecognizeCelebrities -> ShowS # show :: RecognizeCelebrities -> String # showList :: [RecognizeCelebrities] -> ShowS #
NFData RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods rnf :: RecognizeCelebrities -> () #
Eq RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods (==) :: RecognizeCelebrities -> RecognizeCelebrities -> Bool # (/=) :: RecognizeCelebrities -> RecognizeCelebrities -> Bool #
Hashable RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods hashWithSalt :: Int -> RecognizeCelebrities -> Int # hash :: RecognizeCelebrities -> Int #
type AWSResponse RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type AWSResponse RecognizeCelebrities = RecognizeCelebritiesResponse
type Rep RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type Rep RecognizeCelebrities = D1 ('MetaData "RecognizeCelebrities" "Amazonka.Rekognition.RecognizeCelebrities" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "RecognizeCelebrities'" 'PrefixI 'True) (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))

newRecognizeCelebrities Source #

Arguments

:: Image	`$sel:image:RecognizeCelebrities'`
-> RecognizeCelebrities

Create a value of RecognizeCelebrities with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:image:RecognizeCelebrities', recognizeCelebrities_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data RecognizeCelebritiesResponse Source #

See: newRecognizeCelebritiesResponse smart constructor.

Constructors

RecognizeCelebritiesResponse' (Maybe [Celebrity]) (Maybe OrientationCorrection) (Maybe [ComparedFace]) Int

Instances

Instances details

Generic RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Associated Types type Rep RecognizeCelebritiesResponse :: Type -> Type # Methods from :: RecognizeCelebritiesResponse -> Rep RecognizeCelebritiesResponse x # to :: Rep RecognizeCelebritiesResponse x -> RecognizeCelebritiesResponse #
Read RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods readsPrec :: Int -> ReadS RecognizeCelebritiesResponse # readList :: ReadS [RecognizeCelebritiesResponse] # readPrec :: ReadPrec RecognizeCelebritiesResponse # readListPrec :: ReadPrec [RecognizeCelebritiesResponse] #
Show RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods showsPrec :: Int -> RecognizeCelebritiesResponse -> ShowS # show :: RecognizeCelebritiesResponse -> String # showList :: [RecognizeCelebritiesResponse] -> ShowS #
NFData RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods rnf :: RecognizeCelebritiesResponse -> () #
Eq RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods (==) :: RecognizeCelebritiesResponse -> RecognizeCelebritiesResponse -> Bool # (/=) :: RecognizeCelebritiesResponse -> RecognizeCelebritiesResponse -> Bool #
type Rep RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type Rep RecognizeCelebritiesResponse = D1 ('MetaData "RecognizeCelebritiesResponse" "Amazonka.Rekognition.RecognizeCelebrities" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "RecognizeCelebritiesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "celebrityFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Celebrity])) :: S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection))) :: (S1 ('MetaSel ('Just "unrecognizedFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ComparedFace])) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newRecognizeCelebritiesResponse Source #

Arguments

:: Int	`$sel:httpStatus:RecognizeCelebritiesResponse'`
-> RecognizeCelebritiesResponse

Create a value of RecognizeCelebritiesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:celebrityFaces:RecognizeCelebritiesResponse', recognizeCelebritiesResponse_celebrityFaces - Details about each celebrity found in the image. Amazon Rekognition can detect a maximum of 64 celebrities in an image. Each celebrity object includes the following attributes: Face, Confidence, Emotions, Landmarks, Pose, Quality, Smile, Id, KnownGender, MatchConfidence, Name, Urls.

$sel:orientationCorrection:RecognizeCelebritiesResponse', recognizeCelebritiesResponse_orientationCorrection - Support for estimating image orientation using the the OrientationCorrection field has ceased as of August 2021. Any returned values for this field included in an API response will always be NULL.

The orientation of the input image (counterclockwise direction). If your application displays the image, you can use this value to correct the orientation. The bounding box coordinates returned in CelebrityFaces and UnrecognizedFaces represent face locations before the image orientation is corrected.

If the input image is in .jpeg format, it might contain exchangeable image (Exif) metadata that includes the image's orientation. If so, and the Exif metadata for the input image populates the orientation field, the value of OrientationCorrection is null. The CelebrityFaces and UnrecognizedFaces bounding box coordinates represent face locations after Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.

$sel:unrecognizedFaces:RecognizeCelebritiesResponse', recognizeCelebritiesResponse_unrecognizedFaces - Details about each unrecognized face in the image.

$sel:httpStatus:RecognizeCelebritiesResponse', recognizeCelebritiesResponse_httpStatus - The response's http status code.

SearchFaces

data SearchFaces Source #

See: newSearchFaces smart constructor.

Constructors

SearchFaces' (Maybe Double) (Maybe Natural) Text Text

Instances

Instances details

ToJSON SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods toJSON :: SearchFaces -> Value # toEncoding :: SearchFaces -> Encoding # toJSONList :: [SearchFaces] -> Value # toEncodingList :: [SearchFaces] -> Encoding #
ToHeaders SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods toHeaders :: SearchFaces -> [Header] #
ToPath SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods toPath :: SearchFaces -> ByteString #
ToQuery SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods toQuery :: SearchFaces -> QueryString #
AWSRequest SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Associated Types type AWSResponse SearchFaces # Methods request :: (Service -> Service) -> SearchFaces -> Request SearchFaces # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy SearchFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse SearchFaces))) #
Generic SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Associated Types type Rep SearchFaces :: Type -> Type # Methods from :: SearchFaces -> Rep SearchFaces x # to :: Rep SearchFaces x -> SearchFaces #
Read SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods readsPrec :: Int -> ReadS SearchFaces # readList :: ReadS [SearchFaces] # readPrec :: ReadPrec SearchFaces # readListPrec :: ReadPrec [SearchFaces] #
Show SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods showsPrec :: Int -> SearchFaces -> ShowS # show :: SearchFaces -> String # showList :: [SearchFaces] -> ShowS #
NFData SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods rnf :: SearchFaces -> () #
Eq SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods (==) :: SearchFaces -> SearchFaces -> Bool # (/=) :: SearchFaces -> SearchFaces -> Bool #
Hashable SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods hashWithSalt :: Int -> SearchFaces -> Int # hash :: SearchFaces -> Int #
type AWSResponse SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type AWSResponse SearchFaces = SearchFacesResponse
type Rep SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type Rep SearchFaces = D1 ('MetaData "SearchFaces" "Amazonka.Rekognition.SearchFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SearchFaces'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "maxFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "faceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newSearchFaces Source #

Arguments

:: Text	`SearchFaces`
-> Text	`SearchFaces`
-> SearchFaces

Create a value of SearchFaces with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

SearchFaces, searchFaces_faceMatchThreshold - Optional value specifying the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.

$sel:maxFaces:SearchFaces', searchFaces_maxFaces - Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.

SearchFaces, searchFaces_collectionId - ID of the collection the face belongs to.

SearchFaces, searchFaces_faceId - ID of a face to find matches for in the collection.

data SearchFacesResponse Source #

See: newSearchFacesResponse smart constructor.

Constructors

SearchFacesResponse' (Maybe [FaceMatch]) (Maybe Text) (Maybe Text) Int

Instances

Instances details

Generic SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Associated Types type Rep SearchFacesResponse :: Type -> Type # Methods from :: SearchFacesResponse -> Rep SearchFacesResponse x # to :: Rep SearchFacesResponse x -> SearchFacesResponse #
Read SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods readsPrec :: Int -> ReadS SearchFacesResponse # readList :: ReadS [SearchFacesResponse] # readPrec :: ReadPrec SearchFacesResponse # readListPrec :: ReadPrec [SearchFacesResponse] #
Show SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods showsPrec :: Int -> SearchFacesResponse -> ShowS # show :: SearchFacesResponse -> String # showList :: [SearchFacesResponse] -> ShowS #
NFData SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods rnf :: SearchFacesResponse -> () #
Eq SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods (==) :: SearchFacesResponse -> SearchFacesResponse -> Bool # (/=) :: SearchFacesResponse -> SearchFacesResponse -> Bool #
type Rep SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type Rep SearchFacesResponse = D1 ('MetaData "SearchFacesResponse" "Amazonka.Rekognition.SearchFaces" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SearchFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceMatch])) :: S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "searchedFaceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newSearchFacesResponse Source #

Arguments

:: Int	`$sel:httpStatus:SearchFacesResponse'`
-> SearchFacesResponse

Create a value of SearchFacesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

SearchFacesResponse, searchFacesResponse_faceMatches - An array of faces that matched the input face, along with the confidence in the match.

$sel:faceModelVersion:SearchFacesResponse', searchFacesResponse_faceModelVersion - Version number of the face detection model associated with the input collection (CollectionId).

$sel:searchedFaceId:SearchFacesResponse', searchFacesResponse_searchedFaceId - ID of the face that was searched for matches in a collection.

$sel:httpStatus:SearchFacesResponse', searchFacesResponse_httpStatus - The response's http status code.

SearchFacesByImage

data SearchFacesByImage Source #

See: newSearchFacesByImage smart constructor.

Constructors

SearchFacesByImage' (Maybe Double) (Maybe Natural) (Maybe QualityFilter) Text Image

Instances

Instances details

ToJSON SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods toJSON :: SearchFacesByImage -> Value # toEncoding :: SearchFacesByImage -> Encoding # toJSONList :: [SearchFacesByImage] -> Value # toEncodingList :: [SearchFacesByImage] -> Encoding #
ToHeaders SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods toHeaders :: SearchFacesByImage -> [Header] #
ToPath SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods toPath :: SearchFacesByImage -> ByteString #
ToQuery SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods toQuery :: SearchFacesByImage -> QueryString #
AWSRequest SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Associated Types type AWSResponse SearchFacesByImage # Methods request :: (Service -> Service) -> SearchFacesByImage -> Request SearchFacesByImage # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy SearchFacesByImage -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse SearchFacesByImage))) #
Generic SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Associated Types type Rep SearchFacesByImage :: Type -> Type # Methods from :: SearchFacesByImage -> Rep SearchFacesByImage x # to :: Rep SearchFacesByImage x -> SearchFacesByImage #
Read SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods readsPrec :: Int -> ReadS SearchFacesByImage # readList :: ReadS [SearchFacesByImage] # readPrec :: ReadPrec SearchFacesByImage # readListPrec :: ReadPrec [SearchFacesByImage] #
Show SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods showsPrec :: Int -> SearchFacesByImage -> ShowS # show :: SearchFacesByImage -> String # showList :: [SearchFacesByImage] -> ShowS #
NFData SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods rnf :: SearchFacesByImage -> () #
Eq SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods (==) :: SearchFacesByImage -> SearchFacesByImage -> Bool # (/=) :: SearchFacesByImage -> SearchFacesByImage -> Bool #
Hashable SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods hashWithSalt :: Int -> SearchFacesByImage -> Int # hash :: SearchFacesByImage -> Int #
type AWSResponse SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type AWSResponse SearchFacesByImage = SearchFacesByImageResponse
type Rep SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type Rep SearchFacesByImage = D1 ('MetaData "SearchFacesByImage" "Amazonka.Rekognition.SearchFacesByImage" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SearchFacesByImage'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "maxFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "qualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityFilter)) :: (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))))

newSearchFacesByImage Source #

Arguments

:: Text	`SearchFacesByImage`
-> Image	`$sel:image:SearchFacesByImage'`
-> SearchFacesByImage

Create a value of SearchFacesByImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

SearchFacesByImage, searchFacesByImage_faceMatchThreshold - (Optional) Specifies the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.

$sel:maxFaces:SearchFacesByImage', searchFacesByImage_maxFaces - Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.

$sel:qualityFilter:SearchFacesByImage', searchFacesByImage_qualityFilter - A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.

To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.

SearchFacesByImage, searchFacesByImage_collectionId - ID of the collection to search.

$sel:image:SearchFacesByImage', searchFacesByImage_image - The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

data SearchFacesByImageResponse Source #

See: newSearchFacesByImageResponse smart constructor.

Constructors

SearchFacesByImageResponse' (Maybe [FaceMatch]) (Maybe Text) (Maybe BoundingBox) (Maybe Double) Int

Instances

Instances details

Generic SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Associated Types type Rep SearchFacesByImageResponse :: Type -> Type # Methods from :: SearchFacesByImageResponse -> Rep SearchFacesByImageResponse x # to :: Rep SearchFacesByImageResponse x -> SearchFacesByImageResponse #
Read SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods readsPrec :: Int -> ReadS SearchFacesByImageResponse # readList :: ReadS [SearchFacesByImageResponse] # readPrec :: ReadPrec SearchFacesByImageResponse # readListPrec :: ReadPrec [SearchFacesByImageResponse] #
Show SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods showsPrec :: Int -> SearchFacesByImageResponse -> ShowS # show :: SearchFacesByImageResponse -> String # showList :: [SearchFacesByImageResponse] -> ShowS #
NFData SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods rnf :: SearchFacesByImageResponse -> () #
Eq SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods (==) :: SearchFacesByImageResponse -> SearchFacesByImageResponse -> Bool # (/=) :: SearchFacesByImageResponse -> SearchFacesByImageResponse -> Bool #
type Rep SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type Rep SearchFacesByImageResponse = D1 ('MetaData "SearchFacesByImageResponse" "Amazonka.Rekognition.SearchFacesByImage" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SearchFacesByImageResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceMatch])) :: S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "searchedFaceBoundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "searchedFaceConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newSearchFacesByImageResponse Source #

Arguments

:: Int	`$sel:httpStatus:SearchFacesByImageResponse'`
-> SearchFacesByImageResponse

Create a value of SearchFacesByImageResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

SearchFacesByImageResponse, searchFacesByImageResponse_faceMatches - An array of faces that match the input face, along with the confidence in the match.

$sel:faceModelVersion:SearchFacesByImageResponse', searchFacesByImageResponse_faceModelVersion - Version number of the face detection model associated with the input collection (CollectionId).

$sel:searchedFaceBoundingBox:SearchFacesByImageResponse', searchFacesByImageResponse_searchedFaceBoundingBox - The bounding box around the face in the input image that Amazon Rekognition used for the search.

$sel:searchedFaceConfidence:SearchFacesByImageResponse', searchFacesByImageResponse_searchedFaceConfidence - The level of confidence that the searchedFaceBoundingBox, contains a face.

$sel:httpStatus:SearchFacesByImageResponse', searchFacesByImageResponse_httpStatus - The response's http status code.

StartCelebrityRecognition

data StartCelebrityRecognition Source #

See: newStartCelebrityRecognition smart constructor.

Constructors

StartCelebrityRecognition' (Maybe Text) (Maybe Text) (Maybe NotificationChannel) Video

Instances

Instances details

ToJSON StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods toJSON :: StartCelebrityRecognition -> Value # toEncoding :: StartCelebrityRecognition -> Encoding # toJSONList :: [StartCelebrityRecognition] -> Value # toEncodingList :: [StartCelebrityRecognition] -> Encoding #
ToHeaders StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods toHeaders :: StartCelebrityRecognition -> [Header] #
ToPath StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods toPath :: StartCelebrityRecognition -> ByteString #
ToQuery StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods toQuery :: StartCelebrityRecognition -> QueryString #
AWSRequest StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Associated Types type AWSResponse StartCelebrityRecognition # Methods request :: (Service -> Service) -> StartCelebrityRecognition -> Request StartCelebrityRecognition # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartCelebrityRecognition -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartCelebrityRecognition))) #
Generic StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Associated Types type Rep StartCelebrityRecognition :: Type -> Type # Methods from :: StartCelebrityRecognition -> Rep StartCelebrityRecognition x # to :: Rep StartCelebrityRecognition x -> StartCelebrityRecognition #
Read StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods readsPrec :: Int -> ReadS StartCelebrityRecognition # readList :: ReadS [StartCelebrityRecognition] # readPrec :: ReadPrec StartCelebrityRecognition # readListPrec :: ReadPrec [StartCelebrityRecognition] #
Show StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods showsPrec :: Int -> StartCelebrityRecognition -> ShowS # show :: StartCelebrityRecognition -> String # showList :: [StartCelebrityRecognition] -> ShowS #
NFData StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods rnf :: StartCelebrityRecognition -> () #
Eq StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods (==) :: StartCelebrityRecognition -> StartCelebrityRecognition -> Bool # (/=) :: StartCelebrityRecognition -> StartCelebrityRecognition -> Bool #
Hashable StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods hashWithSalt :: Int -> StartCelebrityRecognition -> Int # hash :: StartCelebrityRecognition -> Int #
type AWSResponse StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type AWSResponse StartCelebrityRecognition = StartCelebrityRecognitionResponse
type Rep StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type Rep StartCelebrityRecognition = D1 ('MetaData "StartCelebrityRecognition" "Amazonka.Rekognition.StartCelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartCelebrityRecognition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :*: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video))))

newStartCelebrityRecognition Source #

Arguments

:: Video	`$sel:video:StartCelebrityRecognition'`
-> StartCelebrityRecognition

Create a value of StartCelebrityRecognition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartCelebrityRecognition', startCelebrityRecognition_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartCelebrityRecognition requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:jobTag:StartCelebrityRecognition', startCelebrityRecognition_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartCelebrityRecognition', startCelebrityRecognition_notificationChannel - The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the celebrity recognition analysis to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

$sel:video:StartCelebrityRecognition', startCelebrityRecognition_video - The video in which you want to recognize celebrities. The video must be stored in an Amazon S3 bucket.

data StartCelebrityRecognitionResponse Source #

See: newStartCelebrityRecognitionResponse smart constructor.

Constructors

StartCelebrityRecognitionResponse' (Maybe Text) Int

Instances

Instances details

Generic StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Associated Types type Rep StartCelebrityRecognitionResponse :: Type -> Type # Methods from :: StartCelebrityRecognitionResponse -> Rep StartCelebrityRecognitionResponse x # to :: Rep StartCelebrityRecognitionResponse x -> StartCelebrityRecognitionResponse #
Read StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods readsPrec :: Int -> ReadS StartCelebrityRecognitionResponse # readList :: ReadS [StartCelebrityRecognitionResponse] # readPrec :: ReadPrec StartCelebrityRecognitionResponse # readListPrec :: ReadPrec [StartCelebrityRecognitionResponse] #
Show StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods showsPrec :: Int -> StartCelebrityRecognitionResponse -> ShowS # show :: StartCelebrityRecognitionResponse -> String # showList :: [StartCelebrityRecognitionResponse] -> ShowS #
NFData StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods rnf :: StartCelebrityRecognitionResponse -> () #
Eq StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods (==) :: StartCelebrityRecognitionResponse -> StartCelebrityRecognitionResponse -> Bool # (/=) :: StartCelebrityRecognitionResponse -> StartCelebrityRecognitionResponse -> Bool #
type Rep StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type Rep StartCelebrityRecognitionResponse = D1 ('MetaData "StartCelebrityRecognitionResponse" "Amazonka.Rekognition.StartCelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartCelebrityRecognitionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartCelebrityRecognitionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartCelebrityRecognitionResponse'`
-> StartCelebrityRecognitionResponse

Create a value of StartCelebrityRecognitionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartCelebrityRecognitionResponse', startCelebrityRecognitionResponse_jobId - The identifier for the celebrity recognition analysis job. Use JobId to identify the job in a subsequent call to GetCelebrityRecognition.

$sel:httpStatus:StartCelebrityRecognitionResponse', startCelebrityRecognitionResponse_httpStatus - The response's http status code.

StartContentModeration

data StartContentModeration Source #

See: newStartContentModeration smart constructor.

Constructors

StartContentModeration' (Maybe Text) (Maybe Text) (Maybe Double) (Maybe NotificationChannel) Video

Instances

Instances details

ToJSON StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods toJSON :: StartContentModeration -> Value # toEncoding :: StartContentModeration -> Encoding # toJSONList :: [StartContentModeration] -> Value # toEncodingList :: [StartContentModeration] -> Encoding #
ToHeaders StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods toHeaders :: StartContentModeration -> [Header] #
ToPath StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods toPath :: StartContentModeration -> ByteString #
ToQuery StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods toQuery :: StartContentModeration -> QueryString #
AWSRequest StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Associated Types type AWSResponse StartContentModeration # Methods request :: (Service -> Service) -> StartContentModeration -> Request StartContentModeration # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartContentModeration -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartContentModeration))) #
Generic StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Associated Types type Rep StartContentModeration :: Type -> Type # Methods from :: StartContentModeration -> Rep StartContentModeration x # to :: Rep StartContentModeration x -> StartContentModeration #
Read StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods readsPrec :: Int -> ReadS StartContentModeration # readList :: ReadS [StartContentModeration] # readPrec :: ReadPrec StartContentModeration # readListPrec :: ReadPrec [StartContentModeration] #
Show StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods showsPrec :: Int -> StartContentModeration -> ShowS # show :: StartContentModeration -> String # showList :: [StartContentModeration] -> ShowS #
NFData StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods rnf :: StartContentModeration -> () #
Eq StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods (==) :: StartContentModeration -> StartContentModeration -> Bool # (/=) :: StartContentModeration -> StartContentModeration -> Bool #
Hashable StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods hashWithSalt :: Int -> StartContentModeration -> Int # hash :: StartContentModeration -> Int #
type AWSResponse StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type AWSResponse StartContentModeration = StartContentModerationResponse
type Rep StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type Rep StartContentModeration = D1 ('MetaData "StartContentModeration" "Amazonka.Rekognition.StartContentModeration" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartContentModeration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))

newStartContentModeration Source #

Arguments

:: Video	`$sel:video:StartContentModeration'`
-> StartContentModeration

Create a value of StartContentModeration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartContentModeration', startContentModeration_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartContentModeration requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:jobTag:StartContentModeration', startContentModeration_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

StartContentModeration, startContentModeration_minConfidence - Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value. If you don't specify MinConfidence, GetContentModeration returns labels with confidence values greater than or equal to 50 percent.

$sel:notificationChannel:StartContentModeration', startContentModeration_notificationChannel - The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the content analysis to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic.

$sel:video:StartContentModeration', startContentModeration_video - The video in which you want to detect inappropriate, unwanted, or offensive content. The video must be stored in an Amazon S3 bucket.

data StartContentModerationResponse Source #

See: newStartContentModerationResponse smart constructor.

Constructors

StartContentModerationResponse' (Maybe Text) Int

Instances

Instances details

Generic StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Associated Types type Rep StartContentModerationResponse :: Type -> Type # Methods from :: StartContentModerationResponse -> Rep StartContentModerationResponse x # to :: Rep StartContentModerationResponse x -> StartContentModerationResponse #
Read StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods readsPrec :: Int -> ReadS StartContentModerationResponse # readList :: ReadS [StartContentModerationResponse] # readPrec :: ReadPrec StartContentModerationResponse # readListPrec :: ReadPrec [StartContentModerationResponse] #
Show StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods showsPrec :: Int -> StartContentModerationResponse -> ShowS # show :: StartContentModerationResponse -> String # showList :: [StartContentModerationResponse] -> ShowS #
NFData StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods rnf :: StartContentModerationResponse -> () #
Eq StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods (==) :: StartContentModerationResponse -> StartContentModerationResponse -> Bool # (/=) :: StartContentModerationResponse -> StartContentModerationResponse -> Bool #
type Rep StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type Rep StartContentModerationResponse = D1 ('MetaData "StartContentModerationResponse" "Amazonka.Rekognition.StartContentModeration" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartContentModerationResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartContentModerationResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartContentModerationResponse'`
-> StartContentModerationResponse

Create a value of StartContentModerationResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartContentModerationResponse', startContentModerationResponse_jobId - The identifier for the content analysis job. Use JobId to identify the job in a subsequent call to GetContentModeration.

$sel:httpStatus:StartContentModerationResponse', startContentModerationResponse_httpStatus - The response's http status code.

StartFaceDetection

data StartFaceDetection Source #

See: newStartFaceDetection smart constructor.

Constructors

StartFaceDetection' (Maybe Text) (Maybe FaceAttributes) (Maybe Text) (Maybe NotificationChannel) Video

Instances

Instances details

ToJSON StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods toJSON :: StartFaceDetection -> Value # toEncoding :: StartFaceDetection -> Encoding # toJSONList :: [StartFaceDetection] -> Value # toEncodingList :: [StartFaceDetection] -> Encoding #
ToHeaders StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods toHeaders :: StartFaceDetection -> [Header] #
ToPath StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods toPath :: StartFaceDetection -> ByteString #
ToQuery StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods toQuery :: StartFaceDetection -> QueryString #
AWSRequest StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Associated Types type AWSResponse StartFaceDetection # Methods request :: (Service -> Service) -> StartFaceDetection -> Request StartFaceDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartFaceDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartFaceDetection))) #
Generic StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Associated Types type Rep StartFaceDetection :: Type -> Type # Methods from :: StartFaceDetection -> Rep StartFaceDetection x # to :: Rep StartFaceDetection x -> StartFaceDetection #
Read StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods readsPrec :: Int -> ReadS StartFaceDetection # readList :: ReadS [StartFaceDetection] # readPrec :: ReadPrec StartFaceDetection # readListPrec :: ReadPrec [StartFaceDetection] #
Show StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods showsPrec :: Int -> StartFaceDetection -> ShowS # show :: StartFaceDetection -> String # showList :: [StartFaceDetection] -> ShowS #
NFData StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods rnf :: StartFaceDetection -> () #
Eq StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods (==) :: StartFaceDetection -> StartFaceDetection -> Bool # (/=) :: StartFaceDetection -> StartFaceDetection -> Bool #
Hashable StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods hashWithSalt :: Int -> StartFaceDetection -> Int # hash :: StartFaceDetection -> Int #
type AWSResponse StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type AWSResponse StartFaceDetection = StartFaceDetectionResponse
type Rep StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type Rep StartFaceDetection = D1 ('MetaData "StartFaceDetection" "Amazonka.Rekognition.StartFaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartFaceDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "faceAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceAttributes))) :: (S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))

newStartFaceDetection Source #

Arguments

:: Video	`$sel:video:StartFaceDetection'`
-> StartFaceDetection

Create a value of StartFaceDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartFaceDetection', startFaceDetection_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartFaceDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:faceAttributes:StartFaceDetection', startFaceDetection_faceAttributes - The face attributes you want returned.

DEFAULT - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks.

ALL - All facial attributes are returned.

$sel:jobTag:StartFaceDetection', startFaceDetection_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartFaceDetection', startFaceDetection_notificationChannel - The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

$sel:video:StartFaceDetection', startFaceDetection_video - The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.

data StartFaceDetectionResponse Source #

See: newStartFaceDetectionResponse smart constructor.

Constructors

StartFaceDetectionResponse' (Maybe Text) Int

Instances

Instances details

Generic StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Associated Types type Rep StartFaceDetectionResponse :: Type -> Type # Methods from :: StartFaceDetectionResponse -> Rep StartFaceDetectionResponse x # to :: Rep StartFaceDetectionResponse x -> StartFaceDetectionResponse #
Read StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods readsPrec :: Int -> ReadS StartFaceDetectionResponse # readList :: ReadS [StartFaceDetectionResponse] # readPrec :: ReadPrec StartFaceDetectionResponse # readListPrec :: ReadPrec [StartFaceDetectionResponse] #
Show StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods showsPrec :: Int -> StartFaceDetectionResponse -> ShowS # show :: StartFaceDetectionResponse -> String # showList :: [StartFaceDetectionResponse] -> ShowS #
NFData StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods rnf :: StartFaceDetectionResponse -> () #
Eq StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods (==) :: StartFaceDetectionResponse -> StartFaceDetectionResponse -> Bool # (/=) :: StartFaceDetectionResponse -> StartFaceDetectionResponse -> Bool #
type Rep StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type Rep StartFaceDetectionResponse = D1 ('MetaData "StartFaceDetectionResponse" "Amazonka.Rekognition.StartFaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartFaceDetectionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartFaceDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartFaceDetectionResponse'`
-> StartFaceDetectionResponse

Create a value of StartFaceDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartFaceDetectionResponse', startFaceDetectionResponse_jobId - The identifier for the face detection job. Use JobId to identify the job in a subsequent call to GetFaceDetection.

$sel:httpStatus:StartFaceDetectionResponse', startFaceDetectionResponse_httpStatus - The response's http status code.

StartFaceSearch

data StartFaceSearch Source #

See: newStartFaceSearch smart constructor.

Constructors

StartFaceSearch' (Maybe Text) (Maybe Double) (Maybe Text) (Maybe NotificationChannel) Video Text

Instances

Instances details

ToJSON StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods toJSON :: StartFaceSearch -> Value # toEncoding :: StartFaceSearch -> Encoding # toJSONList :: [StartFaceSearch] -> Value # toEncodingList :: [StartFaceSearch] -> Encoding #
ToHeaders StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods toHeaders :: StartFaceSearch -> [Header] #
ToPath StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods toPath :: StartFaceSearch -> ByteString #
ToQuery StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods toQuery :: StartFaceSearch -> QueryString #
AWSRequest StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Associated Types type AWSResponse StartFaceSearch # Methods request :: (Service -> Service) -> StartFaceSearch -> Request StartFaceSearch # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartFaceSearch -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartFaceSearch))) #
Generic StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Associated Types type Rep StartFaceSearch :: Type -> Type # Methods from :: StartFaceSearch -> Rep StartFaceSearch x # to :: Rep StartFaceSearch x -> StartFaceSearch #
Read StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods readsPrec :: Int -> ReadS StartFaceSearch # readList :: ReadS [StartFaceSearch] # readPrec :: ReadPrec StartFaceSearch # readListPrec :: ReadPrec [StartFaceSearch] #
Show StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods showsPrec :: Int -> StartFaceSearch -> ShowS # show :: StartFaceSearch -> String # showList :: [StartFaceSearch] -> ShowS #
NFData StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods rnf :: StartFaceSearch -> () #
Eq StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods (==) :: StartFaceSearch -> StartFaceSearch -> Bool # (/=) :: StartFaceSearch -> StartFaceSearch -> Bool #
Hashable StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods hashWithSalt :: Int -> StartFaceSearch -> Int # hash :: StartFaceSearch -> Int #
type AWSResponse StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type AWSResponse StartFaceSearch = StartFaceSearchResponse
type Rep StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type Rep StartFaceSearch = D1 ('MetaData "StartFaceSearch" "Amazonka.Rekognition.StartFaceSearch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartFaceSearch'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: (S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video) :*: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newStartFaceSearch Source #

Arguments

:: Video	`$sel:video:StartFaceSearch'`
-> Text	`StartFaceSearch`
-> StartFaceSearch

Create a value of StartFaceSearch with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartFaceSearch', startFaceSearch_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartFaceSearch requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

StartFaceSearch, startFaceSearch_faceMatchThreshold - The minimum confidence in the person match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.

$sel:jobTag:StartFaceSearch', startFaceSearch_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartFaceSearch', startFaceSearch_notificationChannel - The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the search. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic.

$sel:video:StartFaceSearch', startFaceSearch_video - The video you want to search. The video must be stored in an Amazon S3 bucket.

StartFaceSearch, startFaceSearch_collectionId - ID of the collection that contains the faces you want to search for.

data StartFaceSearchResponse Source #

See: newStartFaceSearchResponse smart constructor.

Constructors

StartFaceSearchResponse' (Maybe Text) Int

Instances

Instances details

Generic StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Associated Types type Rep StartFaceSearchResponse :: Type -> Type # Methods from :: StartFaceSearchResponse -> Rep StartFaceSearchResponse x # to :: Rep StartFaceSearchResponse x -> StartFaceSearchResponse #
Read StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods readsPrec :: Int -> ReadS StartFaceSearchResponse # readList :: ReadS [StartFaceSearchResponse] # readPrec :: ReadPrec StartFaceSearchResponse # readListPrec :: ReadPrec [StartFaceSearchResponse] #
Show StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods showsPrec :: Int -> StartFaceSearchResponse -> ShowS # show :: StartFaceSearchResponse -> String # showList :: [StartFaceSearchResponse] -> ShowS #
NFData StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods rnf :: StartFaceSearchResponse -> () #
Eq StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods (==) :: StartFaceSearchResponse -> StartFaceSearchResponse -> Bool # (/=) :: StartFaceSearchResponse -> StartFaceSearchResponse -> Bool #
type Rep StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type Rep StartFaceSearchResponse = D1 ('MetaData "StartFaceSearchResponse" "Amazonka.Rekognition.StartFaceSearch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartFaceSearchResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartFaceSearchResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartFaceSearchResponse'`
-> StartFaceSearchResponse

Create a value of StartFaceSearchResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartFaceSearchResponse', startFaceSearchResponse_jobId - The identifier for the search job. Use JobId to identify the job in a subsequent call to GetFaceSearch.

$sel:httpStatus:StartFaceSearchResponse', startFaceSearchResponse_httpStatus - The response's http status code.

StartLabelDetection

data StartLabelDetection Source #

See: newStartLabelDetection smart constructor.

Constructors

StartLabelDetection' (Maybe Text) (Maybe [LabelDetectionFeatureName]) (Maybe Text) (Maybe Double) (Maybe NotificationChannel) (Maybe LabelDetectionSettings) Video

Instances

Instances details

ToJSON StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods toJSON :: StartLabelDetection -> Value # toEncoding :: StartLabelDetection -> Encoding # toJSONList :: [StartLabelDetection] -> Value # toEncodingList :: [StartLabelDetection] -> Encoding #
ToHeaders StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods toHeaders :: StartLabelDetection -> [Header] #
ToPath StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods toPath :: StartLabelDetection -> ByteString #
ToQuery StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods toQuery :: StartLabelDetection -> QueryString #
AWSRequest StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Associated Types type AWSResponse StartLabelDetection # Methods request :: (Service -> Service) -> StartLabelDetection -> Request StartLabelDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartLabelDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartLabelDetection))) #
Generic StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Associated Types type Rep StartLabelDetection :: Type -> Type # Methods from :: StartLabelDetection -> Rep StartLabelDetection x # to :: Rep StartLabelDetection x -> StartLabelDetection #
Read StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods readsPrec :: Int -> ReadS StartLabelDetection # readList :: ReadS [StartLabelDetection] # readPrec :: ReadPrec StartLabelDetection # readListPrec :: ReadPrec [StartLabelDetection] #
Show StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods showsPrec :: Int -> StartLabelDetection -> ShowS # show :: StartLabelDetection -> String # showList :: [StartLabelDetection] -> ShowS #
NFData StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods rnf :: StartLabelDetection -> () #
Eq StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods (==) :: StartLabelDetection -> StartLabelDetection -> Bool # (/=) :: StartLabelDetection -> StartLabelDetection -> Bool #
Hashable StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods hashWithSalt :: Int -> StartLabelDetection -> Int # hash :: StartLabelDetection -> Int #
type AWSResponse StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type AWSResponse StartLabelDetection = StartLabelDetectionResponse
type Rep StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type Rep StartLabelDetection = D1 ('MetaData "StartLabelDetection" "Amazonka.Rekognition.StartLabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartLabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "features") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelDetectionFeatureName])) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "settings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelDetectionSettings)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))

newStartLabelDetection Source #

Arguments

:: Video	`$sel:video:StartLabelDetection'`
-> StartLabelDetection

Create a value of StartLabelDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartLabelDetection', startLabelDetection_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartLabelDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:features:StartLabelDetection', startLabelDetection_features - The features to return after video analysis. You can specify that GENERAL_LABELS are returned.

$sel:jobTag:StartLabelDetection', startLabelDetection_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

StartLabelDetection, startLabelDetection_minConfidence - Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels and bounding boxes (if detected) with confidence values greater than or equal to 50 percent.

$sel:notificationChannel:StartLabelDetection', startLabelDetection_notificationChannel - The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

$sel:settings:StartLabelDetection', startLabelDetection_settings - The settings for a StartLabelDetection request.Contains the specified parameters for the label detection request of an asynchronous label analysis operation. Settings can include filters for GENERAL_LABELS.

$sel:video:StartLabelDetection', startLabelDetection_video - The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.

data StartLabelDetectionResponse Source #

See: newStartLabelDetectionResponse smart constructor.

Constructors

StartLabelDetectionResponse' (Maybe Text) Int

Instances

Instances details

Generic StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Associated Types type Rep StartLabelDetectionResponse :: Type -> Type # Methods from :: StartLabelDetectionResponse -> Rep StartLabelDetectionResponse x # to :: Rep StartLabelDetectionResponse x -> StartLabelDetectionResponse #
Read StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods readsPrec :: Int -> ReadS StartLabelDetectionResponse # readList :: ReadS [StartLabelDetectionResponse] # readPrec :: ReadPrec StartLabelDetectionResponse # readListPrec :: ReadPrec [StartLabelDetectionResponse] #
Show StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods showsPrec :: Int -> StartLabelDetectionResponse -> ShowS # show :: StartLabelDetectionResponse -> String # showList :: [StartLabelDetectionResponse] -> ShowS #
NFData StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods rnf :: StartLabelDetectionResponse -> () #
Eq StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods (==) :: StartLabelDetectionResponse -> StartLabelDetectionResponse -> Bool # (/=) :: StartLabelDetectionResponse -> StartLabelDetectionResponse -> Bool #
type Rep StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type Rep StartLabelDetectionResponse = D1 ('MetaData "StartLabelDetectionResponse" "Amazonka.Rekognition.StartLabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartLabelDetectionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartLabelDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartLabelDetectionResponse'`
-> StartLabelDetectionResponse

Create a value of StartLabelDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartLabelDetectionResponse', startLabelDetectionResponse_jobId - The identifier for the label detection job. Use JobId to identify the job in a subsequent call to GetLabelDetection.

$sel:httpStatus:StartLabelDetectionResponse', startLabelDetectionResponse_httpStatus - The response's http status code.

StartPersonTracking

data StartPersonTracking Source #

See: newStartPersonTracking smart constructor.

Constructors

StartPersonTracking' (Maybe Text) (Maybe Text) (Maybe NotificationChannel) Video

Instances

Instances details

ToJSON StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods toJSON :: StartPersonTracking -> Value # toEncoding :: StartPersonTracking -> Encoding # toJSONList :: [StartPersonTracking] -> Value # toEncodingList :: [StartPersonTracking] -> Encoding #
ToHeaders StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods toHeaders :: StartPersonTracking -> [Header] #
ToPath StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods toPath :: StartPersonTracking -> ByteString #
ToQuery StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods toQuery :: StartPersonTracking -> QueryString #
AWSRequest StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Associated Types type AWSResponse StartPersonTracking # Methods request :: (Service -> Service) -> StartPersonTracking -> Request StartPersonTracking # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartPersonTracking -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartPersonTracking))) #
Generic StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Associated Types type Rep StartPersonTracking :: Type -> Type # Methods from :: StartPersonTracking -> Rep StartPersonTracking x # to :: Rep StartPersonTracking x -> StartPersonTracking #
Read StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods readsPrec :: Int -> ReadS StartPersonTracking # readList :: ReadS [StartPersonTracking] # readPrec :: ReadPrec StartPersonTracking # readListPrec :: ReadPrec [StartPersonTracking] #
Show StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods showsPrec :: Int -> StartPersonTracking -> ShowS # show :: StartPersonTracking -> String # showList :: [StartPersonTracking] -> ShowS #
NFData StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods rnf :: StartPersonTracking -> () #
Eq StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods (==) :: StartPersonTracking -> StartPersonTracking -> Bool # (/=) :: StartPersonTracking -> StartPersonTracking -> Bool #
Hashable StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods hashWithSalt :: Int -> StartPersonTracking -> Int # hash :: StartPersonTracking -> Int #
type AWSResponse StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type AWSResponse StartPersonTracking = StartPersonTrackingResponse
type Rep StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type Rep StartPersonTracking = D1 ('MetaData "StartPersonTracking" "Amazonka.Rekognition.StartPersonTracking" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartPersonTracking'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :*: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video))))

newStartPersonTracking Source #

Arguments

:: Video	`$sel:video:StartPersonTracking'`
-> StartPersonTracking

Create a value of StartPersonTracking with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartPersonTracking', startPersonTracking_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartPersonTracking requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:jobTag:StartPersonTracking', startPersonTracking_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartPersonTracking', startPersonTracking_notificationChannel - The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the people detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

$sel:video:StartPersonTracking', startPersonTracking_video - The video in which you want to detect people. The video must be stored in an Amazon S3 bucket.

data StartPersonTrackingResponse Source #

See: newStartPersonTrackingResponse smart constructor.

Constructors

StartPersonTrackingResponse' (Maybe Text) Int

Instances

Instances details

Generic StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Associated Types type Rep StartPersonTrackingResponse :: Type -> Type # Methods from :: StartPersonTrackingResponse -> Rep StartPersonTrackingResponse x # to :: Rep StartPersonTrackingResponse x -> StartPersonTrackingResponse #
Read StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods readsPrec :: Int -> ReadS StartPersonTrackingResponse # readList :: ReadS [StartPersonTrackingResponse] # readPrec :: ReadPrec StartPersonTrackingResponse # readListPrec :: ReadPrec [StartPersonTrackingResponse] #
Show StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods showsPrec :: Int -> StartPersonTrackingResponse -> ShowS # show :: StartPersonTrackingResponse -> String # showList :: [StartPersonTrackingResponse] -> ShowS #
NFData StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods rnf :: StartPersonTrackingResponse -> () #
Eq StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods (==) :: StartPersonTrackingResponse -> StartPersonTrackingResponse -> Bool # (/=) :: StartPersonTrackingResponse -> StartPersonTrackingResponse -> Bool #
type Rep StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type Rep StartPersonTrackingResponse = D1 ('MetaData "StartPersonTrackingResponse" "Amazonka.Rekognition.StartPersonTracking" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartPersonTrackingResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartPersonTrackingResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartPersonTrackingResponse'`
-> StartPersonTrackingResponse

Create a value of StartPersonTrackingResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartPersonTrackingResponse', startPersonTrackingResponse_jobId - The identifier for the person detection job. Use JobId to identify the job in a subsequent call to GetPersonTracking.

$sel:httpStatus:StartPersonTrackingResponse', startPersonTrackingResponse_httpStatus - The response's http status code.

StartProjectVersion

data StartProjectVersion Source #

See: newStartProjectVersion smart constructor.

Constructors

StartProjectVersion' (Maybe Natural) Text Natural

Instances

Instances details

ToJSON StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods toJSON :: StartProjectVersion -> Value # toEncoding :: StartProjectVersion -> Encoding # toJSONList :: [StartProjectVersion] -> Value # toEncodingList :: [StartProjectVersion] -> Encoding #
ToHeaders StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods toHeaders :: StartProjectVersion -> [Header] #
ToPath StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods toPath :: StartProjectVersion -> ByteString #
ToQuery StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods toQuery :: StartProjectVersion -> QueryString #
AWSRequest StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Associated Types type AWSResponse StartProjectVersion # Methods request :: (Service -> Service) -> StartProjectVersion -> Request StartProjectVersion # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartProjectVersion))) #
Generic StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Associated Types type Rep StartProjectVersion :: Type -> Type # Methods from :: StartProjectVersion -> Rep StartProjectVersion x # to :: Rep StartProjectVersion x -> StartProjectVersion #
Read StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods readsPrec :: Int -> ReadS StartProjectVersion # readList :: ReadS [StartProjectVersion] # readPrec :: ReadPrec StartProjectVersion # readListPrec :: ReadPrec [StartProjectVersion] #
Show StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods showsPrec :: Int -> StartProjectVersion -> ShowS # show :: StartProjectVersion -> String # showList :: [StartProjectVersion] -> ShowS #
NFData StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods rnf :: StartProjectVersion -> () #
Eq StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods (==) :: StartProjectVersion -> StartProjectVersion -> Bool # (/=) :: StartProjectVersion -> StartProjectVersion -> Bool #
Hashable StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods hashWithSalt :: Int -> StartProjectVersion -> Int # hash :: StartProjectVersion -> Int #
type AWSResponse StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type AWSResponse StartProjectVersion = StartProjectVersionResponse
type Rep StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type Rep StartProjectVersion = D1 ('MetaData "StartProjectVersion" "Amazonka.Rekognition.StartProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newStartProjectVersion Source #

Arguments

:: Text	`StartProjectVersion`
-> Natural	`StartProjectVersion`
-> StartProjectVersion

Create a value of StartProjectVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

StartProjectVersion, startProjectVersion_maxInferenceUnits - The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.

StartProjectVersion, startProjectVersion_projectVersionArn - The Amazon Resource Name(ARN) of the model version that you want to start.

StartProjectVersion, startProjectVersion_minInferenceUnits - The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

For information about the number of transactions per second (TPS) that an inference unit can support, see /Running a trained Amazon Rekognition Custom Labels model/ in the Amazon Rekognition Custom Labels Guide.

Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

data StartProjectVersionResponse Source #

See: newStartProjectVersionResponse smart constructor.

Constructors

StartProjectVersionResponse' (Maybe ProjectVersionStatus) Int

Instances

Instances details

Generic StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Associated Types type Rep StartProjectVersionResponse :: Type -> Type # Methods from :: StartProjectVersionResponse -> Rep StartProjectVersionResponse x # to :: Rep StartProjectVersionResponse x -> StartProjectVersionResponse #
Read StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods readsPrec :: Int -> ReadS StartProjectVersionResponse # readList :: ReadS [StartProjectVersionResponse] # readPrec :: ReadPrec StartProjectVersionResponse # readListPrec :: ReadPrec [StartProjectVersionResponse] #
Show StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods showsPrec :: Int -> StartProjectVersionResponse -> ShowS # show :: StartProjectVersionResponse -> String # showList :: [StartProjectVersionResponse] -> ShowS #
NFData StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods rnf :: StartProjectVersionResponse -> () #
Eq StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods (==) :: StartProjectVersionResponse -> StartProjectVersionResponse -> Bool # (/=) :: StartProjectVersionResponse -> StartProjectVersionResponse -> Bool #
type Rep StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type Rep StartProjectVersionResponse = D1 ('MetaData "StartProjectVersionResponse" "Amazonka.Rekognition.StartProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartProjectVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartProjectVersionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartProjectVersionResponse'`
-> StartProjectVersionResponse

Create a value of StartProjectVersionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

StartProjectVersionResponse, startProjectVersionResponse_status - The current running status of the model.

$sel:httpStatus:StartProjectVersionResponse', startProjectVersionResponse_httpStatus - The response's http status code.

StartSegmentDetection

data StartSegmentDetection Source #

See: newStartSegmentDetection smart constructor.

Constructors

StartSegmentDetection' (Maybe Text) (Maybe StartSegmentDetectionFilters) (Maybe Text) (Maybe NotificationChannel) Video (NonEmpty SegmentType)

Instances

Instances details

ToJSON StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods toJSON :: StartSegmentDetection -> Value # toEncoding :: StartSegmentDetection -> Encoding # toJSONList :: [StartSegmentDetection] -> Value # toEncodingList :: [StartSegmentDetection] -> Encoding #
ToHeaders StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods toHeaders :: StartSegmentDetection -> [Header] #
ToPath StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods toPath :: StartSegmentDetection -> ByteString #
ToQuery StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods toQuery :: StartSegmentDetection -> QueryString #
AWSRequest StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Associated Types type AWSResponse StartSegmentDetection # Methods request :: (Service -> Service) -> StartSegmentDetection -> Request StartSegmentDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartSegmentDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartSegmentDetection))) #
Generic StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Associated Types type Rep StartSegmentDetection :: Type -> Type # Methods from :: StartSegmentDetection -> Rep StartSegmentDetection x # to :: Rep StartSegmentDetection x -> StartSegmentDetection #
Read StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods readsPrec :: Int -> ReadS StartSegmentDetection # readList :: ReadS [StartSegmentDetection] # readPrec :: ReadPrec StartSegmentDetection # readListPrec :: ReadPrec [StartSegmentDetection] #
Show StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods showsPrec :: Int -> StartSegmentDetection -> ShowS # show :: StartSegmentDetection -> String # showList :: [StartSegmentDetection] -> ShowS #
NFData StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods rnf :: StartSegmentDetection -> () #
Eq StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods (==) :: StartSegmentDetection -> StartSegmentDetection -> Bool # (/=) :: StartSegmentDetection -> StartSegmentDetection -> Bool #
Hashable StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods hashWithSalt :: Int -> StartSegmentDetection -> Int # hash :: StartSegmentDetection -> Int #
type AWSResponse StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type AWSResponse StartSegmentDetection = StartSegmentDetectionResponse
type Rep StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type Rep StartSegmentDetection = D1 ('MetaData "StartSegmentDetection" "Amazonka.Rekognition.StartSegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartSegmentDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartSegmentDetectionFilters)) :: S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: (S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video) :*: S1 ('MetaSel ('Just "segmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty SegmentType))))))

newStartSegmentDetection Source #

Arguments

:: Video	`$sel:video:StartSegmentDetection'`
-> NonEmpty SegmentType	`$sel:segmentTypes:StartSegmentDetection'`
-> StartSegmentDetection

Create a value of StartSegmentDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartSegmentDetection', startSegmentDetection_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartSegmentDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

$sel:filters:StartSegmentDetection', startSegmentDetection_filters - Filters for technical cue or shot detection.

$sel:jobTag:StartSegmentDetection', startSegmentDetection_jobTag - An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartSegmentDetection', startSegmentDetection_notificationChannel - The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the segment detection operation. Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic.

$sel:video:StartSegmentDetection', startSegmentDetection_video - Undocumented member.

$sel:segmentTypes:StartSegmentDetection', startSegmentDetection_segmentTypes - An array of segment types to detect in the video. Valid values are TECHNICAL_CUE and SHOT.

data StartSegmentDetectionResponse Source #

See: newStartSegmentDetectionResponse smart constructor.

Constructors

StartSegmentDetectionResponse' (Maybe Text) Int

Instances

Instances details

Generic StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Associated Types type Rep StartSegmentDetectionResponse :: Type -> Type # Methods from :: StartSegmentDetectionResponse -> Rep StartSegmentDetectionResponse x # to :: Rep StartSegmentDetectionResponse x -> StartSegmentDetectionResponse #
Read StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods readsPrec :: Int -> ReadS StartSegmentDetectionResponse # readList :: ReadS [StartSegmentDetectionResponse] # readPrec :: ReadPrec StartSegmentDetectionResponse # readListPrec :: ReadPrec [StartSegmentDetectionResponse] #
Show StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods showsPrec :: Int -> StartSegmentDetectionResponse -> ShowS # show :: StartSegmentDetectionResponse -> String # showList :: [StartSegmentDetectionResponse] -> ShowS #
NFData StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods rnf :: StartSegmentDetectionResponse -> () #
Eq StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods (==) :: StartSegmentDetectionResponse -> StartSegmentDetectionResponse -> Bool # (/=) :: StartSegmentDetectionResponse -> StartSegmentDetectionResponse -> Bool #
type Rep StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type Rep StartSegmentDetectionResponse = D1 ('MetaData "StartSegmentDetectionResponse" "Amazonka.Rekognition.StartSegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartSegmentDetectionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartSegmentDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartSegmentDetectionResponse'`
-> StartSegmentDetectionResponse

Create a value of StartSegmentDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartSegmentDetectionResponse', startSegmentDetectionResponse_jobId - Unique identifier for the segment detection job. The JobId is returned from StartSegmentDetection.

$sel:httpStatus:StartSegmentDetectionResponse', startSegmentDetectionResponse_httpStatus - The response's http status code.

StartStreamProcessor

data StartStreamProcessor Source #

See: newStartStreamProcessor smart constructor.

Constructors

StartStreamProcessor' (Maybe StreamProcessingStartSelector) (Maybe StreamProcessingStopSelector) Text

Instances

Instances details

ToJSON StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods toJSON :: StartStreamProcessor -> Value # toEncoding :: StartStreamProcessor -> Encoding # toJSONList :: [StartStreamProcessor] -> Value # toEncodingList :: [StartStreamProcessor] -> Encoding #
ToHeaders StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods toHeaders :: StartStreamProcessor -> [Header] #
ToPath StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods toPath :: StartStreamProcessor -> ByteString #
ToQuery StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods toQuery :: StartStreamProcessor -> QueryString #
AWSRequest StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Associated Types type AWSResponse StartStreamProcessor # Methods request :: (Service -> Service) -> StartStreamProcessor -> Request StartStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartStreamProcessor))) #
Generic StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Associated Types type Rep StartStreamProcessor :: Type -> Type # Methods from :: StartStreamProcessor -> Rep StartStreamProcessor x # to :: Rep StartStreamProcessor x -> StartStreamProcessor #
Read StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods readsPrec :: Int -> ReadS StartStreamProcessor # readList :: ReadS [StartStreamProcessor] # readPrec :: ReadPrec StartStreamProcessor # readListPrec :: ReadPrec [StartStreamProcessor] #
Show StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods showsPrec :: Int -> StartStreamProcessor -> ShowS # show :: StartStreamProcessor -> String # showList :: [StartStreamProcessor] -> ShowS #
NFData StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods rnf :: StartStreamProcessor -> () #
Eq StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods (==) :: StartStreamProcessor -> StartStreamProcessor -> Bool # (/=) :: StartStreamProcessor -> StartStreamProcessor -> Bool #
Hashable StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods hashWithSalt :: Int -> StartStreamProcessor -> Int # hash :: StartStreamProcessor -> Int #
type AWSResponse StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type AWSResponse StartStreamProcessor = StartStreamProcessorResponse
type Rep StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type Rep StartStreamProcessor = D1 ('MetaData "StartStreamProcessor" "Amazonka.Rekognition.StartStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "startSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessingStartSelector)) :: (S1 ('MetaSel ('Just "stopSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessingStopSelector)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newStartStreamProcessor Source #

Arguments

:: Text	`StartStreamProcessor`
-> StartStreamProcessor

Create a value of StartStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:startSelector:StartStreamProcessor', startStreamProcessor_startSelector - Specifies the starting point in the Kinesis stream to start processing. You can use the producer timestamp or the fragment number. If you use the producer timestamp, you must put the time in milliseconds. For more information about fragment numbers, see Fragment.

This is a required parameter for label detection stream processors and should not be used to start a face search stream processor.

$sel:stopSelector:StartStreamProcessor', startStreamProcessor_stopSelector - Specifies when to stop processing the stream. You can specify a maximum amount of time to process the video.

This is a required parameter for label detection stream processors and should not be used to start a face search stream processor.

StartStreamProcessor, startStreamProcessor_name - The name of the stream processor to start processing.

data StartStreamProcessorResponse Source #

See: newStartStreamProcessorResponse smart constructor.

Constructors

StartStreamProcessorResponse' (Maybe Text) Int

Instances

Instances details

Generic StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Associated Types type Rep StartStreamProcessorResponse :: Type -> Type # Methods from :: StartStreamProcessorResponse -> Rep StartStreamProcessorResponse x # to :: Rep StartStreamProcessorResponse x -> StartStreamProcessorResponse #
Read StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods readsPrec :: Int -> ReadS StartStreamProcessorResponse # readList :: ReadS [StartStreamProcessorResponse] # readPrec :: ReadPrec StartStreamProcessorResponse # readListPrec :: ReadPrec [StartStreamProcessorResponse] #
Show StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods showsPrec :: Int -> StartStreamProcessorResponse -> ShowS # show :: StartStreamProcessorResponse -> String # showList :: [StartStreamProcessorResponse] -> ShowS #
NFData StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods rnf :: StartStreamProcessorResponse -> () #
Eq StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods (==) :: StartStreamProcessorResponse -> StartStreamProcessorResponse -> Bool # (/=) :: StartStreamProcessorResponse -> StartStreamProcessorResponse -> Bool #
type Rep StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type Rep StartStreamProcessorResponse = D1 ('MetaData "StartStreamProcessorResponse" "Amazonka.Rekognition.StartStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartStreamProcessorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sessionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartStreamProcessorResponse'`
-> StartStreamProcessorResponse

Create a value of StartStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sessionId:StartStreamProcessorResponse', startStreamProcessorResponse_sessionId - A unique identifier for the stream processing session.

$sel:httpStatus:StartStreamProcessorResponse', startStreamProcessorResponse_httpStatus - The response's http status code.

StartTextDetection

data StartTextDetection Source #

See: newStartTextDetection smart constructor.

Constructors

StartTextDetection' (Maybe Text) (Maybe StartTextDetectionFilters) (Maybe Text) (Maybe NotificationChannel) Video

Instances

Instances details

ToJSON StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods toJSON :: StartTextDetection -> Value # toEncoding :: StartTextDetection -> Encoding # toJSONList :: [StartTextDetection] -> Value # toEncodingList :: [StartTextDetection] -> Encoding #
ToHeaders StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods toHeaders :: StartTextDetection -> [Header] #
ToPath StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods toPath :: StartTextDetection -> ByteString #
ToQuery StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods toQuery :: StartTextDetection -> QueryString #
AWSRequest StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Associated Types type AWSResponse StartTextDetection # Methods request :: (Service -> Service) -> StartTextDetection -> Request StartTextDetection # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StartTextDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartTextDetection))) #
Generic StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Associated Types type Rep StartTextDetection :: Type -> Type # Methods from :: StartTextDetection -> Rep StartTextDetection x # to :: Rep StartTextDetection x -> StartTextDetection #
Read StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods readsPrec :: Int -> ReadS StartTextDetection # readList :: ReadS [StartTextDetection] # readPrec :: ReadPrec StartTextDetection # readListPrec :: ReadPrec [StartTextDetection] #
Show StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods showsPrec :: Int -> StartTextDetection -> ShowS # show :: StartTextDetection -> String # showList :: [StartTextDetection] -> ShowS #
NFData StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods rnf :: StartTextDetection -> () #
Eq StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods (==) :: StartTextDetection -> StartTextDetection -> Bool # (/=) :: StartTextDetection -> StartTextDetection -> Bool #
Hashable StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods hashWithSalt :: Int -> StartTextDetection -> Int # hash :: StartTextDetection -> Int #
type AWSResponse StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type AWSResponse StartTextDetection = StartTextDetectionResponse
type Rep StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type Rep StartTextDetection = D1 ('MetaData "StartTextDetection" "Amazonka.Rekognition.StartTextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTextDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartTextDetectionFilters))) :: (S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))

newStartTextDetection Source #

Arguments

:: Video	`$sel:video:StartTextDetection'`
-> StartTextDetection

Create a value of StartTextDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientRequestToken:StartTextDetection', startTextDetection_clientRequestToken - Idempotent token used to identify the start request. If you use the same token with multiple StartTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentaly started more than once.

$sel:filters:StartTextDetection', startTextDetection_filters - Optional parameters that let you set criteria the text must meet to be included in your response.

$sel:jobTag:StartTextDetection', startTextDetection_jobTag - An identifier returned in the completion status published by your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

$sel:notificationChannel:StartTextDetection', startTextDetection_notificationChannel - Undocumented member.

$sel:video:StartTextDetection', startTextDetection_video - Undocumented member.

data StartTextDetectionResponse Source #

See: newStartTextDetectionResponse smart constructor.

Constructors

StartTextDetectionResponse' (Maybe Text) Int

Instances

Instances details

Generic StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Associated Types type Rep StartTextDetectionResponse :: Type -> Type # Methods from :: StartTextDetectionResponse -> Rep StartTextDetectionResponse x # to :: Rep StartTextDetectionResponse x -> StartTextDetectionResponse #
Read StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods readsPrec :: Int -> ReadS StartTextDetectionResponse # readList :: ReadS [StartTextDetectionResponse] # readPrec :: ReadPrec StartTextDetectionResponse # readListPrec :: ReadPrec [StartTextDetectionResponse] #
Show StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods showsPrec :: Int -> StartTextDetectionResponse -> ShowS # show :: StartTextDetectionResponse -> String # showList :: [StartTextDetectionResponse] -> ShowS #
NFData StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods rnf :: StartTextDetectionResponse -> () #
Eq StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods (==) :: StartTextDetectionResponse -> StartTextDetectionResponse -> Bool # (/=) :: StartTextDetectionResponse -> StartTextDetectionResponse -> Bool #
type Rep StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type Rep StartTextDetectionResponse = D1 ('MetaData "StartTextDetectionResponse" "Amazonka.Rekognition.StartTextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTextDetectionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStartTextDetectionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StartTextDetectionResponse'`
-> StartTextDetectionResponse

Create a value of StartTextDetectionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jobId:StartTextDetectionResponse', startTextDetectionResponse_jobId - Identifier for the text detection job. Use JobId to identify the job in a subsequent call to GetTextDetection.

$sel:httpStatus:StartTextDetectionResponse', startTextDetectionResponse_httpStatus - The response's http status code.

StopProjectVersion

data StopProjectVersion Source #

See: newStopProjectVersion smart constructor.

Constructors

StopProjectVersion' Text

Instances

Instances details

ToJSON StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods toJSON :: StopProjectVersion -> Value # toEncoding :: StopProjectVersion -> Encoding # toJSONList :: [StopProjectVersion] -> Value # toEncodingList :: [StopProjectVersion] -> Encoding #
ToHeaders StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods toHeaders :: StopProjectVersion -> [Header] #
ToPath StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods toPath :: StopProjectVersion -> ByteString #
ToQuery StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods toQuery :: StopProjectVersion -> QueryString #
AWSRequest StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Associated Types type AWSResponse StopProjectVersion # Methods request :: (Service -> Service) -> StopProjectVersion -> Request StopProjectVersion # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StopProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopProjectVersion))) #
Generic StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Associated Types type Rep StopProjectVersion :: Type -> Type # Methods from :: StopProjectVersion -> Rep StopProjectVersion x # to :: Rep StopProjectVersion x -> StopProjectVersion #
Read StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods readsPrec :: Int -> ReadS StopProjectVersion # readList :: ReadS [StopProjectVersion] # readPrec :: ReadPrec StopProjectVersion # readListPrec :: ReadPrec [StopProjectVersion] #
Show StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods showsPrec :: Int -> StopProjectVersion -> ShowS # show :: StopProjectVersion -> String # showList :: [StopProjectVersion] -> ShowS #
NFData StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods rnf :: StopProjectVersion -> () #
Eq StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods (==) :: StopProjectVersion -> StopProjectVersion -> Bool # (/=) :: StopProjectVersion -> StopProjectVersion -> Bool #
Hashable StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods hashWithSalt :: Int -> StopProjectVersion -> Int # hash :: StopProjectVersion -> Int #
type AWSResponse StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type AWSResponse StopProjectVersion = StopProjectVersionResponse
type Rep StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type Rep StopProjectVersion = D1 ('MetaData "StopProjectVersion" "Amazonka.Rekognition.StopProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StopProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newStopProjectVersion Source #

Arguments

:: Text	`StopProjectVersion`
-> StopProjectVersion

Create a value of StopProjectVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

StopProjectVersion, stopProjectVersion_projectVersionArn - The Amazon Resource Name (ARN) of the model version that you want to delete.

This operation requires permissions to perform the rekognition:StopProjectVersion action.

data StopProjectVersionResponse Source #

See: newStopProjectVersionResponse smart constructor.

Constructors

StopProjectVersionResponse' (Maybe ProjectVersionStatus) Int

Instances

Instances details

Generic StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Associated Types type Rep StopProjectVersionResponse :: Type -> Type # Methods from :: StopProjectVersionResponse -> Rep StopProjectVersionResponse x # to :: Rep StopProjectVersionResponse x -> StopProjectVersionResponse #
Read StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods readsPrec :: Int -> ReadS StopProjectVersionResponse # readList :: ReadS [StopProjectVersionResponse] # readPrec :: ReadPrec StopProjectVersionResponse # readListPrec :: ReadPrec [StopProjectVersionResponse] #
Show StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods showsPrec :: Int -> StopProjectVersionResponse -> ShowS # show :: StopProjectVersionResponse -> String # showList :: [StopProjectVersionResponse] -> ShowS #
NFData StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods rnf :: StopProjectVersionResponse -> () #
Eq StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods (==) :: StopProjectVersionResponse -> StopProjectVersionResponse -> Bool # (/=) :: StopProjectVersionResponse -> StopProjectVersionResponse -> Bool #
type Rep StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type Rep StopProjectVersionResponse = D1 ('MetaData "StopProjectVersionResponse" "Amazonka.Rekognition.StopProjectVersion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StopProjectVersionResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStopProjectVersionResponse Source #

Arguments

:: Int	`$sel:httpStatus:StopProjectVersionResponse'`
-> StopProjectVersionResponse

Create a value of StopProjectVersionResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

StopProjectVersionResponse, stopProjectVersionResponse_status - The current status of the stop operation.

$sel:httpStatus:StopProjectVersionResponse', stopProjectVersionResponse_httpStatus - The response's http status code.

StopStreamProcessor

data StopStreamProcessor Source #

See: newStopStreamProcessor smart constructor.

Constructors

StopStreamProcessor' Text

Instances

Instances details

ToJSON StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods toJSON :: StopStreamProcessor -> Value # toEncoding :: StopStreamProcessor -> Encoding # toJSONList :: [StopStreamProcessor] -> Value # toEncodingList :: [StopStreamProcessor] -> Encoding #
ToHeaders StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods toHeaders :: StopStreamProcessor -> [Header] #
ToPath StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods toPath :: StopStreamProcessor -> ByteString #
ToQuery StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods toQuery :: StopStreamProcessor -> QueryString #
AWSRequest StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Associated Types type AWSResponse StopStreamProcessor # Methods request :: (Service -> Service) -> StopStreamProcessor -> Request StopStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy StopStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopStreamProcessor))) #
Generic StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Associated Types type Rep StopStreamProcessor :: Type -> Type # Methods from :: StopStreamProcessor -> Rep StopStreamProcessor x # to :: Rep StopStreamProcessor x -> StopStreamProcessor #
Read StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods readsPrec :: Int -> ReadS StopStreamProcessor # readList :: ReadS [StopStreamProcessor] # readPrec :: ReadPrec StopStreamProcessor # readListPrec :: ReadPrec [StopStreamProcessor] #
Show StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods showsPrec :: Int -> StopStreamProcessor -> ShowS # show :: StopStreamProcessor -> String # showList :: [StopStreamProcessor] -> ShowS #
NFData StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods rnf :: StopStreamProcessor -> () #
Eq StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods (==) :: StopStreamProcessor -> StopStreamProcessor -> Bool # (/=) :: StopStreamProcessor -> StopStreamProcessor -> Bool #
Hashable StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods hashWithSalt :: Int -> StopStreamProcessor -> Int # hash :: StopStreamProcessor -> Int #
type AWSResponse StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type AWSResponse StopStreamProcessor = StopStreamProcessorResponse
type Rep StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type Rep StopStreamProcessor = D1 ('MetaData "StopStreamProcessor" "Amazonka.Rekognition.StopStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StopStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newStopStreamProcessor Source #

Arguments

:: Text	`StopStreamProcessor`
-> StopStreamProcessor

Create a value of StopStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

StopStreamProcessor, stopStreamProcessor_name - The name of a stream processor created by CreateStreamProcessor.

data StopStreamProcessorResponse Source #

See: newStopStreamProcessorResponse smart constructor.

Constructors

StopStreamProcessorResponse' Int

Instances

Instances details

Generic StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Associated Types type Rep StopStreamProcessorResponse :: Type -> Type # Methods from :: StopStreamProcessorResponse -> Rep StopStreamProcessorResponse x # to :: Rep StopStreamProcessorResponse x -> StopStreamProcessorResponse #
Read StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods readsPrec :: Int -> ReadS StopStreamProcessorResponse # readList :: ReadS [StopStreamProcessorResponse] # readPrec :: ReadPrec StopStreamProcessorResponse # readListPrec :: ReadPrec [StopStreamProcessorResponse] #
Show StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods showsPrec :: Int -> StopStreamProcessorResponse -> ShowS # show :: StopStreamProcessorResponse -> String # showList :: [StopStreamProcessorResponse] -> ShowS #
NFData StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods rnf :: StopStreamProcessorResponse -> () #
Eq StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods (==) :: StopStreamProcessorResponse -> StopStreamProcessorResponse -> Bool # (/=) :: StopStreamProcessorResponse -> StopStreamProcessorResponse -> Bool #
type Rep StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type Rep StopStreamProcessorResponse = D1 ('MetaData "StopStreamProcessorResponse" "Amazonka.Rekognition.StopStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StopStreamProcessorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newStopStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:StopStreamProcessorResponse'`
-> StopStreamProcessorResponse

Create a value of StopStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:StopStreamProcessorResponse', stopStreamProcessorResponse_httpStatus - The response's http status code.

TagResource

data TagResource Source #

See: newTagResource smart constructor.

Constructors

TagResource' Text (HashMap Text Text)

Instances

Instances details

ToJSON TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods toJSON :: TagResource -> Value # toEncoding :: TagResource -> Encoding # toJSONList :: [TagResource] -> Value # toEncodingList :: [TagResource] -> Encoding #
ToHeaders TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods toHeaders :: TagResource -> [Header] #
ToPath TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods toPath :: TagResource -> ByteString #
ToQuery TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods toQuery :: TagResource -> QueryString #
AWSRequest TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Associated Types type AWSResponse TagResource # Methods request :: (Service -> Service) -> TagResource -> Request TagResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy TagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse TagResource))) #
Generic TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Associated Types type Rep TagResource :: Type -> Type # Methods from :: TagResource -> Rep TagResource x # to :: Rep TagResource x -> TagResource #
Read TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods readsPrec :: Int -> ReadS TagResource # readList :: ReadS [TagResource] # readPrec :: ReadPrec TagResource # readListPrec :: ReadPrec [TagResource] #
Show TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods showsPrec :: Int -> TagResource -> ShowS # show :: TagResource -> String # showList :: [TagResource] -> ShowS #
NFData TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods rnf :: TagResource -> () #
Eq TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods (==) :: TagResource -> TagResource -> Bool # (/=) :: TagResource -> TagResource -> Bool #
Hashable TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods hashWithSalt :: Int -> TagResource -> Int # hash :: TagResource -> Int #
type AWSResponse TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource type AWSResponse TagResource = TagResourceResponse
type Rep TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource type Rep TagResource = D1 ('MetaData "TagResource" "Amazonka.Rekognition.TagResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text Text))))

newTagResource Source #

Arguments

:: Text	`$sel:resourceArn:TagResource'`
-> TagResource

Create a value of TagResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resourceArn:TagResource', tagResource_resourceArn - Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to assign the tags to.

$sel:tags:TagResource', tagResource_tags - The key-value tags to assign to the resource.

data TagResourceResponse Source #

See: newTagResourceResponse smart constructor.

Constructors

TagResourceResponse' Int

Instances

Instances details

Generic TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Associated Types type Rep TagResourceResponse :: Type -> Type # Methods from :: TagResourceResponse -> Rep TagResourceResponse x # to :: Rep TagResourceResponse x -> TagResourceResponse #
Read TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods readsPrec :: Int -> ReadS TagResourceResponse # readList :: ReadS [TagResourceResponse] # readPrec :: ReadPrec TagResourceResponse # readListPrec :: ReadPrec [TagResourceResponse] #
Show TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods showsPrec :: Int -> TagResourceResponse -> ShowS # show :: TagResourceResponse -> String # showList :: [TagResourceResponse] -> ShowS #
NFData TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods rnf :: TagResourceResponse -> () #
Eq TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods (==) :: TagResourceResponse -> TagResourceResponse -> Bool # (/=) :: TagResourceResponse -> TagResourceResponse -> Bool #
type Rep TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource type Rep TagResourceResponse = D1 ('MetaData "TagResourceResponse" "Amazonka.Rekognition.TagResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TagResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newTagResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:TagResourceResponse'`
-> TagResourceResponse

Create a value of TagResourceResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:TagResourceResponse', tagResourceResponse_httpStatus - The response's http status code.

UntagResource

data UntagResource Source #

See: newUntagResource smart constructor.

Constructors

UntagResource' Text [Text]

Instances

Instances details

ToJSON UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods toJSON :: UntagResource -> Value # toEncoding :: UntagResource -> Encoding # toJSONList :: [UntagResource] -> Value # toEncodingList :: [UntagResource] -> Encoding #
ToHeaders UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods toHeaders :: UntagResource -> [Header] #
ToPath UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods toPath :: UntagResource -> ByteString #
ToQuery UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods toQuery :: UntagResource -> QueryString #
AWSRequest UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Associated Types type AWSResponse UntagResource # Methods request :: (Service -> Service) -> UntagResource -> Request UntagResource # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy UntagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UntagResource))) #
Generic UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Associated Types type Rep UntagResource :: Type -> Type # Methods from :: UntagResource -> Rep UntagResource x # to :: Rep UntagResource x -> UntagResource #
Read UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods readsPrec :: Int -> ReadS UntagResource # readList :: ReadS [UntagResource] # readPrec :: ReadPrec UntagResource # readListPrec :: ReadPrec [UntagResource] #
Show UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods showsPrec :: Int -> UntagResource -> ShowS # show :: UntagResource -> String # showList :: [UntagResource] -> ShowS #
NFData UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods rnf :: UntagResource -> () #
Eq UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods (==) :: UntagResource -> UntagResource -> Bool # (/=) :: UntagResource -> UntagResource -> Bool #
Hashable UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods hashWithSalt :: Int -> UntagResource -> Int # hash :: UntagResource -> Int #
type AWSResponse UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type AWSResponse UntagResource = UntagResourceResponse
type Rep UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type Rep UntagResource = D1 ('MetaData "UntagResource" "Amazonka.Rekognition.UntagResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UntagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tagKeys") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))

newUntagResource Source #

Arguments

:: Text	`$sel:resourceArn:UntagResource'`
-> UntagResource

Create a value of UntagResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resourceArn:UntagResource', untagResource_resourceArn - Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to remove the tags from.

$sel:tagKeys:UntagResource', untagResource_tagKeys - A list of the tags that you want to remove.

data UntagResourceResponse Source #

See: newUntagResourceResponse smart constructor.

Constructors

UntagResourceResponse' Int

Instances

Instances details

Generic UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Associated Types type Rep UntagResourceResponse :: Type -> Type # Methods from :: UntagResourceResponse -> Rep UntagResourceResponse x # to :: Rep UntagResourceResponse x -> UntagResourceResponse #
Read UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods readsPrec :: Int -> ReadS UntagResourceResponse # readList :: ReadS [UntagResourceResponse] # readPrec :: ReadPrec UntagResourceResponse # readListPrec :: ReadPrec [UntagResourceResponse] #
Show UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods showsPrec :: Int -> UntagResourceResponse -> ShowS # show :: UntagResourceResponse -> String # showList :: [UntagResourceResponse] -> ShowS #
NFData UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods rnf :: UntagResourceResponse -> () #
Eq UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods (==) :: UntagResourceResponse -> UntagResourceResponse -> Bool # (/=) :: UntagResourceResponse -> UntagResourceResponse -> Bool #
type Rep UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type Rep UntagResourceResponse = D1 ('MetaData "UntagResourceResponse" "Amazonka.Rekognition.UntagResource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UntagResourceResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newUntagResourceResponse Source #

Arguments

:: Int	`$sel:httpStatus:UntagResourceResponse'`
-> UntagResourceResponse

Create a value of UntagResourceResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:UntagResourceResponse', untagResourceResponse_httpStatus - The response's http status code.

UpdateDatasetEntries

data UpdateDatasetEntries Source #

See: newUpdateDatasetEntries smart constructor.

Constructors

UpdateDatasetEntries' Text DatasetChanges

Instances

Instances details

ToJSON UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods toJSON :: UpdateDatasetEntries -> Value # toEncoding :: UpdateDatasetEntries -> Encoding # toJSONList :: [UpdateDatasetEntries] -> Value # toEncodingList :: [UpdateDatasetEntries] -> Encoding #
ToHeaders UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods toHeaders :: UpdateDatasetEntries -> [Header] #
ToPath UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods toPath :: UpdateDatasetEntries -> ByteString #
ToQuery UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods toQuery :: UpdateDatasetEntries -> QueryString #
AWSRequest UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Associated Types type AWSResponse UpdateDatasetEntries # Methods request :: (Service -> Service) -> UpdateDatasetEntries -> Request UpdateDatasetEntries # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy UpdateDatasetEntries -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UpdateDatasetEntries))) #
Generic UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Associated Types type Rep UpdateDatasetEntries :: Type -> Type # Methods from :: UpdateDatasetEntries -> Rep UpdateDatasetEntries x # to :: Rep UpdateDatasetEntries x -> UpdateDatasetEntries #
Read UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods readsPrec :: Int -> ReadS UpdateDatasetEntries # readList :: ReadS [UpdateDatasetEntries] # readPrec :: ReadPrec UpdateDatasetEntries # readListPrec :: ReadPrec [UpdateDatasetEntries] #
Show UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods showsPrec :: Int -> UpdateDatasetEntries -> ShowS # show :: UpdateDatasetEntries -> String # showList :: [UpdateDatasetEntries] -> ShowS #
NFData UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods rnf :: UpdateDatasetEntries -> () #
Eq UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods (==) :: UpdateDatasetEntries -> UpdateDatasetEntries -> Bool # (/=) :: UpdateDatasetEntries -> UpdateDatasetEntries -> Bool #
Hashable UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods hashWithSalt :: Int -> UpdateDatasetEntries -> Int # hash :: UpdateDatasetEntries -> Int #
type AWSResponse UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries type AWSResponse UpdateDatasetEntries = UpdateDatasetEntriesResponse
type Rep UpdateDatasetEntries Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries type Rep UpdateDatasetEntries = D1 ('MetaData "UpdateDatasetEntries" "Amazonka.Rekognition.UpdateDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UpdateDatasetEntries'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "changes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DatasetChanges)))

newUpdateDatasetEntries Source #

Arguments

:: Text	`UpdateDatasetEntries`
-> DatasetChanges	`$sel:changes:UpdateDatasetEntries'`
-> UpdateDatasetEntries

Create a value of UpdateDatasetEntries with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

UpdateDatasetEntries, updateDatasetEntries_datasetArn - The Amazon Resource Name (ARN) of the dataset that you want to update.

$sel:changes:UpdateDatasetEntries', updateDatasetEntries_changes - The changes that you want to make to the dataset.

data UpdateDatasetEntriesResponse Source #

See: newUpdateDatasetEntriesResponse smart constructor.

Constructors

UpdateDatasetEntriesResponse' Int

Instances

Instances details

Generic UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Associated Types type Rep UpdateDatasetEntriesResponse :: Type -> Type # Methods from :: UpdateDatasetEntriesResponse -> Rep UpdateDatasetEntriesResponse x # to :: Rep UpdateDatasetEntriesResponse x -> UpdateDatasetEntriesResponse #
Read UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods readsPrec :: Int -> ReadS UpdateDatasetEntriesResponse # readList :: ReadS [UpdateDatasetEntriesResponse] # readPrec :: ReadPrec UpdateDatasetEntriesResponse # readListPrec :: ReadPrec [UpdateDatasetEntriesResponse] #
Show UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods showsPrec :: Int -> UpdateDatasetEntriesResponse -> ShowS # show :: UpdateDatasetEntriesResponse -> String # showList :: [UpdateDatasetEntriesResponse] -> ShowS #
NFData UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods rnf :: UpdateDatasetEntriesResponse -> () #
Eq UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries Methods (==) :: UpdateDatasetEntriesResponse -> UpdateDatasetEntriesResponse -> Bool # (/=) :: UpdateDatasetEntriesResponse -> UpdateDatasetEntriesResponse -> Bool #
type Rep UpdateDatasetEntriesResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateDatasetEntries type Rep UpdateDatasetEntriesResponse = D1 ('MetaData "UpdateDatasetEntriesResponse" "Amazonka.Rekognition.UpdateDatasetEntries" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UpdateDatasetEntriesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newUpdateDatasetEntriesResponse Source #

Arguments

:: Int	`$sel:httpStatus:UpdateDatasetEntriesResponse'`
-> UpdateDatasetEntriesResponse

Create a value of UpdateDatasetEntriesResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:UpdateDatasetEntriesResponse', updateDatasetEntriesResponse_httpStatus - The response's http status code.

UpdateStreamProcessor

data UpdateStreamProcessor Source #

See: newUpdateStreamProcessor smart constructor.

Constructors

UpdateStreamProcessor' (Maybe StreamProcessorDataSharingPreference) (Maybe [StreamProcessorParameterToDelete]) (Maybe [RegionOfInterest]) (Maybe StreamProcessorSettingsForUpdate) Text

Instances

Instances details

ToJSON UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods toJSON :: UpdateStreamProcessor -> Value # toEncoding :: UpdateStreamProcessor -> Encoding # toJSONList :: [UpdateStreamProcessor] -> Value # toEncodingList :: [UpdateStreamProcessor] -> Encoding #
ToHeaders UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods toHeaders :: UpdateStreamProcessor -> [Header] #
ToPath UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods toPath :: UpdateStreamProcessor -> ByteString #
ToQuery UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods toQuery :: UpdateStreamProcessor -> QueryString #
AWSRequest UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Associated Types type AWSResponse UpdateStreamProcessor # Methods request :: (Service -> Service) -> UpdateStreamProcessor -> Request UpdateStreamProcessor # response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy UpdateStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UpdateStreamProcessor))) #
Generic UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Associated Types type Rep UpdateStreamProcessor :: Type -> Type # Methods from :: UpdateStreamProcessor -> Rep UpdateStreamProcessor x # to :: Rep UpdateStreamProcessor x -> UpdateStreamProcessor #
Read UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods readsPrec :: Int -> ReadS UpdateStreamProcessor # readList :: ReadS [UpdateStreamProcessor] # readPrec :: ReadPrec UpdateStreamProcessor # readListPrec :: ReadPrec [UpdateStreamProcessor] #
Show UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods showsPrec :: Int -> UpdateStreamProcessor -> ShowS # show :: UpdateStreamProcessor -> String # showList :: [UpdateStreamProcessor] -> ShowS #
NFData UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods rnf :: UpdateStreamProcessor -> () #
Eq UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods (==) :: UpdateStreamProcessor -> UpdateStreamProcessor -> Bool # (/=) :: UpdateStreamProcessor -> UpdateStreamProcessor -> Bool #
Hashable UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods hashWithSalt :: Int -> UpdateStreamProcessor -> Int # hash :: UpdateStreamProcessor -> Int #
type AWSResponse UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor type AWSResponse UpdateStreamProcessor = UpdateStreamProcessorResponse
type Rep UpdateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor type Rep UpdateStreamProcessor = D1 ('MetaData "UpdateStreamProcessor" "Amazonka.Rekognition.UpdateStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UpdateStreamProcessor'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "dataSharingPreferenceForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorDataSharingPreference)) :: S1 ('MetaSel ('Just "parametersToDelete") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [StreamProcessorParameterToDelete]))) :: (S1 ('MetaSel ('Just "regionsOfInterestForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :: (S1 ('MetaSel ('Just "settingsForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorSettingsForUpdate)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newUpdateStreamProcessor Source #

Arguments

:: Text	`UpdateStreamProcessor`
-> UpdateStreamProcessor

Create a value of UpdateStreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataSharingPreferenceForUpdate:UpdateStreamProcessor', updateStreamProcessor_dataSharingPreferenceForUpdate - Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

$sel:parametersToDelete:UpdateStreamProcessor', updateStreamProcessor_parametersToDelete - A list of parameters you want to delete from the stream processor.

$sel:regionsOfInterestForUpdate:UpdateStreamProcessor', updateStreamProcessor_regionsOfInterestForUpdate - Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors.

$sel:settingsForUpdate:UpdateStreamProcessor', updateStreamProcessor_settingsForUpdate - The stream processor settings that you want to update. Label detection settings can be updated to detect different labels with a different minimum confidence.

UpdateStreamProcessor, updateStreamProcessor_name - Name of the stream processor that you want to update.

data UpdateStreamProcessorResponse Source #

See: newUpdateStreamProcessorResponse smart constructor.

Constructors

UpdateStreamProcessorResponse' Int

Instances

Instances details

Generic UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Associated Types type Rep UpdateStreamProcessorResponse :: Type -> Type # Methods from :: UpdateStreamProcessorResponse -> Rep UpdateStreamProcessorResponse x # to :: Rep UpdateStreamProcessorResponse x -> UpdateStreamProcessorResponse #
Read UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods readsPrec :: Int -> ReadS UpdateStreamProcessorResponse # readList :: ReadS [UpdateStreamProcessorResponse] # readPrec :: ReadPrec UpdateStreamProcessorResponse # readListPrec :: ReadPrec [UpdateStreamProcessorResponse] #
Show UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods showsPrec :: Int -> UpdateStreamProcessorResponse -> ShowS # show :: UpdateStreamProcessorResponse -> String # showList :: [UpdateStreamProcessorResponse] -> ShowS #
NFData UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods rnf :: UpdateStreamProcessorResponse -> () #
Eq UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor Methods (==) :: UpdateStreamProcessorResponse -> UpdateStreamProcessorResponse -> Bool # (/=) :: UpdateStreamProcessorResponse -> UpdateStreamProcessorResponse -> Bool #
type Rep UpdateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.UpdateStreamProcessor type Rep UpdateStreamProcessorResponse = D1 ('MetaData "UpdateStreamProcessorResponse" "Amazonka.Rekognition.UpdateStreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UpdateStreamProcessorResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newUpdateStreamProcessorResponse Source #

Arguments

:: Int	`$sel:httpStatus:UpdateStreamProcessorResponse'`
-> UpdateStreamProcessorResponse

Create a value of UpdateStreamProcessorResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:UpdateStreamProcessorResponse', updateStreamProcessorResponse_httpStatus - The response's http status code.

Types

Attribute

newtype Attribute Source #

Constructors

Attribute'
Fields fromAttribute :: Text

Bundled Patterns

pattern Attribute_ALL :: Attribute
pattern Attribute_DEFAULT :: Attribute

Instances

Instances details

FromJSON Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods parseJSON :: Value -> Parser Attribute # parseJSONList :: Value -> Parser [Attribute] #
FromJSONKey Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods fromJSONKey :: FromJSONKeyFunction Attribute # fromJSONKeyList :: FromJSONKeyFunction [Attribute] #
ToJSON Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toJSON :: Attribute -> Value # toEncoding :: Attribute -> Encoding # toJSONList :: [Attribute] -> Value # toEncodingList :: [Attribute] -> Encoding #
ToJSONKey Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toJSONKey :: ToJSONKeyFunction Attribute # toJSONKeyList :: ToJSONKeyFunction [Attribute] #
ToByteString Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toBS :: Attribute -> ByteString #
ToHeader Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toHeader :: HeaderName -> Attribute -> [Header] #
ToLog Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods build :: Attribute -> ByteStringBuilder #
ToQuery Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toQuery :: Attribute -> QueryString #
FromText Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods fromText :: Text -> Either String Attribute #
ToText Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toText :: Attribute -> Text #
FromXML Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods parseXML :: [Node] -> Either String Attribute #
ToXML Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toXML :: Attribute -> XML #
Generic Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Associated Types type Rep Attribute :: Type -> Type # Methods from :: Attribute -> Rep Attribute x # to :: Rep Attribute x -> Attribute #
Read Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods readsPrec :: Int -> ReadS Attribute # readList :: ReadS [Attribute] # readPrec :: ReadPrec Attribute # readListPrec :: ReadPrec [Attribute] #
Show Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods showsPrec :: Int -> Attribute -> ShowS # show :: Attribute -> String # showList :: [Attribute] -> ShowS #
NFData Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods rnf :: Attribute -> () #
Eq Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods (==) :: Attribute -> Attribute -> Bool # (/=) :: Attribute -> Attribute -> Bool #
Ord Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods compare :: Attribute -> Attribute -> Ordering # (<) :: Attribute -> Attribute -> Bool # (<=) :: Attribute -> Attribute -> Bool # (>) :: Attribute -> Attribute -> Bool # (>=) :: Attribute -> Attribute -> Bool # max :: Attribute -> Attribute -> Attribute # min :: Attribute -> Attribute -> Attribute #
Hashable Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods hashWithSalt :: Int -> Attribute -> Int # hash :: Attribute -> Int #
type Rep Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute type Rep Attribute = D1 ('MetaData "Attribute" "Amazonka.Rekognition.Types.Attribute" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "Attribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BodyPart

newtype BodyPart Source #

Constructors

BodyPart'
Fields fromBodyPart :: Text

Bundled Patterns

pattern BodyPart_FACE :: BodyPart
pattern BodyPart_HEAD :: BodyPart
pattern BodyPart_LEFT_HAND :: BodyPart
pattern BodyPart_RIGHT_HAND :: BodyPart

Instances

Instances details

FromJSON BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods parseJSON :: Value -> Parser BodyPart # parseJSONList :: Value -> Parser [BodyPart] #
FromJSONKey BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods fromJSONKey :: FromJSONKeyFunction BodyPart # fromJSONKeyList :: FromJSONKeyFunction [BodyPart] #
ToJSON BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toJSON :: BodyPart -> Value # toEncoding :: BodyPart -> Encoding # toJSONList :: [BodyPart] -> Value # toEncodingList :: [BodyPart] -> Encoding #
ToJSONKey BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toJSONKey :: ToJSONKeyFunction BodyPart # toJSONKeyList :: ToJSONKeyFunction [BodyPart] #
ToByteString BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toBS :: BodyPart -> ByteString #
ToHeader BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toHeader :: HeaderName -> BodyPart -> [Header] #
ToLog BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods build :: BodyPart -> ByteStringBuilder #
ToQuery BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toQuery :: BodyPart -> QueryString #
FromText BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods fromText :: Text -> Either String BodyPart #
ToText BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toText :: BodyPart -> Text #
FromXML BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods parseXML :: [Node] -> Either String BodyPart #
ToXML BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toXML :: BodyPart -> XML #
Generic BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Associated Types type Rep BodyPart :: Type -> Type # Methods from :: BodyPart -> Rep BodyPart x # to :: Rep BodyPart x -> BodyPart #
Read BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods readsPrec :: Int -> ReadS BodyPart # readList :: ReadS [BodyPart] # readPrec :: ReadPrec BodyPart # readListPrec :: ReadPrec [BodyPart] #
Show BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods showsPrec :: Int -> BodyPart -> ShowS # show :: BodyPart -> String # showList :: [BodyPart] -> ShowS #
NFData BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods rnf :: BodyPart -> () #
Eq BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods (==) :: BodyPart -> BodyPart -> Bool # (/=) :: BodyPart -> BodyPart -> Bool #
Ord BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods compare :: BodyPart -> BodyPart -> Ordering # (<) :: BodyPart -> BodyPart -> Bool # (<=) :: BodyPart -> BodyPart -> Bool # (>) :: BodyPart -> BodyPart -> Bool # (>=) :: BodyPart -> BodyPart -> Bool # max :: BodyPart -> BodyPart -> BodyPart # min :: BodyPart -> BodyPart -> BodyPart #
Hashable BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods hashWithSalt :: Int -> BodyPart -> Int # hash :: BodyPart -> Int #
type Rep BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart type Rep BodyPart = D1 ('MetaData "BodyPart" "Amazonka.Rekognition.Types.BodyPart" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "BodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBodyPart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CelebrityRecognitionSortBy

newtype CelebrityRecognitionSortBy Source #

Constructors

CelebrityRecognitionSortBy'
Fields fromCelebrityRecognitionSortBy :: Text

Bundled Patterns

pattern CelebrityRecognitionSortBy_ID :: CelebrityRecognitionSortBy
pattern CelebrityRecognitionSortBy_TIMESTAMP :: CelebrityRecognitionSortBy

Instances

Instances details

FromJSON CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods parseJSON :: Value -> Parser CelebrityRecognitionSortBy # parseJSONList :: Value -> Parser [CelebrityRecognitionSortBy] #
FromJSONKey CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods fromJSONKey :: FromJSONKeyFunction CelebrityRecognitionSortBy # fromJSONKeyList :: FromJSONKeyFunction [CelebrityRecognitionSortBy] #
ToJSON CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toJSON :: CelebrityRecognitionSortBy -> Value # toEncoding :: CelebrityRecognitionSortBy -> Encoding # toJSONList :: [CelebrityRecognitionSortBy] -> Value # toEncodingList :: [CelebrityRecognitionSortBy] -> Encoding #
ToJSONKey CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toJSONKey :: ToJSONKeyFunction CelebrityRecognitionSortBy # toJSONKeyList :: ToJSONKeyFunction [CelebrityRecognitionSortBy] #
ToByteString CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toBS :: CelebrityRecognitionSortBy -> ByteString #
ToHeader CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toHeader :: HeaderName -> CelebrityRecognitionSortBy -> [Header] #
ToLog CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods build :: CelebrityRecognitionSortBy -> ByteStringBuilder #
ToQuery CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toQuery :: CelebrityRecognitionSortBy -> QueryString #
FromText CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods fromText :: Text -> Either String CelebrityRecognitionSortBy #
ToText CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toText :: CelebrityRecognitionSortBy -> Text #
FromXML CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods parseXML :: [Node] -> Either String CelebrityRecognitionSortBy #
ToXML CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toXML :: CelebrityRecognitionSortBy -> XML #
Generic CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Associated Types type Rep CelebrityRecognitionSortBy :: Type -> Type # Methods from :: CelebrityRecognitionSortBy -> Rep CelebrityRecognitionSortBy x # to :: Rep CelebrityRecognitionSortBy x -> CelebrityRecognitionSortBy #
Read CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods readsPrec :: Int -> ReadS CelebrityRecognitionSortBy # readList :: ReadS [CelebrityRecognitionSortBy] # readPrec :: ReadPrec CelebrityRecognitionSortBy # readListPrec :: ReadPrec [CelebrityRecognitionSortBy] #
Show CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods showsPrec :: Int -> CelebrityRecognitionSortBy -> ShowS # show :: CelebrityRecognitionSortBy -> String # showList :: [CelebrityRecognitionSortBy] -> ShowS #
NFData CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods rnf :: CelebrityRecognitionSortBy -> () #
Eq CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods (==) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (/=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool #
Ord CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods compare :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Ordering # (<) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (<=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (>) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (>=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # max :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy # min :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy #
Hashable CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods hashWithSalt :: Int -> CelebrityRecognitionSortBy -> Int # hash :: CelebrityRecognitionSortBy -> Int #
type Rep CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy type Rep CelebrityRecognitionSortBy = D1 ('MetaData "CelebrityRecognitionSortBy" "Amazonka.Rekognition.Types.CelebrityRecognitionSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "CelebrityRecognitionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCelebrityRecognitionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentClassifier

newtype ContentClassifier Source #

Constructors

ContentClassifier'
Fields fromContentClassifier :: Text

Bundled Patterns

pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier

Instances

Instances details

FromJSON ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods parseJSON :: Value -> Parser ContentClassifier # parseJSONList :: Value -> Parser [ContentClassifier] #
FromJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods fromJSONKey :: FromJSONKeyFunction ContentClassifier # fromJSONKeyList :: FromJSONKeyFunction [ContentClassifier] #
ToJSON ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toJSON :: ContentClassifier -> Value # toEncoding :: ContentClassifier -> Encoding # toJSONList :: [ContentClassifier] -> Value # toEncodingList :: [ContentClassifier] -> Encoding #
ToJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toJSONKey :: ToJSONKeyFunction ContentClassifier # toJSONKeyList :: ToJSONKeyFunction [ContentClassifier] #
ToByteString ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toBS :: ContentClassifier -> ByteString #
ToHeader ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toHeader :: HeaderName -> ContentClassifier -> [Header] #
ToLog ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods build :: ContentClassifier -> ByteStringBuilder #
ToQuery ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toQuery :: ContentClassifier -> QueryString #
FromText ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods fromText :: Text -> Either String ContentClassifier #
ToText ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toText :: ContentClassifier -> Text #
FromXML ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods parseXML :: [Node] -> Either String ContentClassifier #
ToXML ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toXML :: ContentClassifier -> XML #
Generic ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Associated Types type Rep ContentClassifier :: Type -> Type # Methods from :: ContentClassifier -> Rep ContentClassifier x # to :: Rep ContentClassifier x -> ContentClassifier #
Read ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods readsPrec :: Int -> ReadS ContentClassifier # readList :: ReadS [ContentClassifier] # readPrec :: ReadPrec ContentClassifier # readListPrec :: ReadPrec [ContentClassifier] #
Show ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods showsPrec :: Int -> ContentClassifier -> ShowS # show :: ContentClassifier -> String # showList :: [ContentClassifier] -> ShowS #
NFData ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods rnf :: ContentClassifier -> () #
Eq ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods (==) :: ContentClassifier -> ContentClassifier -> Bool # (/=) :: ContentClassifier -> ContentClassifier -> Bool #
Ord ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods compare :: ContentClassifier -> ContentClassifier -> Ordering # (<) :: ContentClassifier -> ContentClassifier -> Bool # (<=) :: ContentClassifier -> ContentClassifier -> Bool # (>) :: ContentClassifier -> ContentClassifier -> Bool # (>=) :: ContentClassifier -> ContentClassifier -> Bool # max :: ContentClassifier -> ContentClassifier -> ContentClassifier # min :: ContentClassifier -> ContentClassifier -> ContentClassifier #
Hashable ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods hashWithSalt :: Int -> ContentClassifier -> Int # hash :: ContentClassifier -> Int #
type Rep ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.Rekognition.Types.ContentClassifier" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ContentClassifier'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentClassifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentModerationSortBy

newtype ContentModerationSortBy Source #

Constructors

ContentModerationSortBy'
Fields fromContentModerationSortBy :: Text

Bundled Patterns

pattern ContentModerationSortBy_NAME :: ContentModerationSortBy
pattern ContentModerationSortBy_TIMESTAMP :: ContentModerationSortBy

Instances

Instances details

FromJSON ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods parseJSON :: Value -> Parser ContentModerationSortBy # parseJSONList :: Value -> Parser [ContentModerationSortBy] #
FromJSONKey ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods fromJSONKey :: FromJSONKeyFunction ContentModerationSortBy # fromJSONKeyList :: FromJSONKeyFunction [ContentModerationSortBy] #
ToJSON ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toJSON :: ContentModerationSortBy -> Value # toEncoding :: ContentModerationSortBy -> Encoding # toJSONList :: [ContentModerationSortBy] -> Value # toEncodingList :: [ContentModerationSortBy] -> Encoding #
ToJSONKey ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toJSONKey :: ToJSONKeyFunction ContentModerationSortBy # toJSONKeyList :: ToJSONKeyFunction [ContentModerationSortBy] #
ToByteString ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toBS :: ContentModerationSortBy -> ByteString #
ToHeader ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toHeader :: HeaderName -> ContentModerationSortBy -> [Header] #
ToLog ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods build :: ContentModerationSortBy -> ByteStringBuilder #
ToQuery ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toQuery :: ContentModerationSortBy -> QueryString #
FromText ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods fromText :: Text -> Either String ContentModerationSortBy #
ToText ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toText :: ContentModerationSortBy -> Text #
FromXML ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods parseXML :: [Node] -> Either String ContentModerationSortBy #
ToXML ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toXML :: ContentModerationSortBy -> XML #
Generic ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Associated Types type Rep ContentModerationSortBy :: Type -> Type # Methods from :: ContentModerationSortBy -> Rep ContentModerationSortBy x # to :: Rep ContentModerationSortBy x -> ContentModerationSortBy #
Read ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods readsPrec :: Int -> ReadS ContentModerationSortBy # readList :: ReadS [ContentModerationSortBy] # readPrec :: ReadPrec ContentModerationSortBy # readListPrec :: ReadPrec [ContentModerationSortBy] #
Show ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods showsPrec :: Int -> ContentModerationSortBy -> ShowS # show :: ContentModerationSortBy -> String # showList :: [ContentModerationSortBy] -> ShowS #
NFData ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods rnf :: ContentModerationSortBy -> () #
Eq ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods (==) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (/=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool #
Ord ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods compare :: ContentModerationSortBy -> ContentModerationSortBy -> Ordering # (<) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (<=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (>) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (>=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # max :: ContentModerationSortBy -> ContentModerationSortBy -> ContentModerationSortBy # min :: ContentModerationSortBy -> ContentModerationSortBy -> ContentModerationSortBy #
Hashable ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods hashWithSalt :: Int -> ContentModerationSortBy -> Int # hash :: ContentModerationSortBy -> Int #
type Rep ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy type Rep ContentModerationSortBy = D1 ('MetaData "ContentModerationSortBy" "Amazonka.Rekognition.Types.ContentModerationSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ContentModerationSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentModerationSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetStatus

newtype DatasetStatus Source #

Constructors

DatasetStatus'
Fields fromDatasetStatus :: Text

Bundled Patterns

pattern DatasetStatus_CREATE_COMPLETE :: DatasetStatus
pattern DatasetStatus_CREATE_FAILED :: DatasetStatus
pattern DatasetStatus_CREATE_IN_PROGRESS :: DatasetStatus
pattern DatasetStatus_DELETE_IN_PROGRESS :: DatasetStatus
pattern DatasetStatus_UPDATE_COMPLETE :: DatasetStatus
pattern DatasetStatus_UPDATE_FAILED :: DatasetStatus
pattern DatasetStatus_UPDATE_IN_PROGRESS :: DatasetStatus

Instances

Instances details

FromJSON DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods parseJSON :: Value -> Parser DatasetStatus # parseJSONList :: Value -> Parser [DatasetStatus] #
FromJSONKey DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods fromJSONKey :: FromJSONKeyFunction DatasetStatus # fromJSONKeyList :: FromJSONKeyFunction [DatasetStatus] #
ToJSON DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toJSON :: DatasetStatus -> Value # toEncoding :: DatasetStatus -> Encoding # toJSONList :: [DatasetStatus] -> Value # toEncodingList :: [DatasetStatus] -> Encoding #
ToJSONKey DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toJSONKey :: ToJSONKeyFunction DatasetStatus # toJSONKeyList :: ToJSONKeyFunction [DatasetStatus] #
ToByteString DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toBS :: DatasetStatus -> ByteString #
ToHeader DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toHeader :: HeaderName -> DatasetStatus -> [Header] #
ToLog DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods build :: DatasetStatus -> ByteStringBuilder #
ToQuery DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toQuery :: DatasetStatus -> QueryString #
FromText DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods fromText :: Text -> Either String DatasetStatus #
ToText DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toText :: DatasetStatus -> Text #
FromXML DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods parseXML :: [Node] -> Either String DatasetStatus #
ToXML DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toXML :: DatasetStatus -> XML #
Generic DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Associated Types type Rep DatasetStatus :: Type -> Type # Methods from :: DatasetStatus -> Rep DatasetStatus x # to :: Rep DatasetStatus x -> DatasetStatus #
Read DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods readsPrec :: Int -> ReadS DatasetStatus # readList :: ReadS [DatasetStatus] # readPrec :: ReadPrec DatasetStatus # readListPrec :: ReadPrec [DatasetStatus] #
Show DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods showsPrec :: Int -> DatasetStatus -> ShowS # show :: DatasetStatus -> String # showList :: [DatasetStatus] -> ShowS #
NFData DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods rnf :: DatasetStatus -> () #
Eq DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods (==) :: DatasetStatus -> DatasetStatus -> Bool # (/=) :: DatasetStatus -> DatasetStatus -> Bool #
Ord DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods compare :: DatasetStatus -> DatasetStatus -> Ordering # (<) :: DatasetStatus -> DatasetStatus -> Bool # (<=) :: DatasetStatus -> DatasetStatus -> Bool # (>) :: DatasetStatus -> DatasetStatus -> Bool # (>=) :: DatasetStatus -> DatasetStatus -> Bool # max :: DatasetStatus -> DatasetStatus -> DatasetStatus # min :: DatasetStatus -> DatasetStatus -> DatasetStatus #
Hashable DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods hashWithSalt :: Int -> DatasetStatus -> Int # hash :: DatasetStatus -> Int #
type Rep DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus type Rep DatasetStatus = D1 ('MetaData "DatasetStatus" "Amazonka.Rekognition.Types.DatasetStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetStatusMessageCode

newtype DatasetStatusMessageCode Source #

Constructors

DatasetStatusMessageCode'
Fields fromDatasetStatusMessageCode :: Text

Bundled Patterns

pattern DatasetStatusMessageCode_CLIENT_ERROR :: DatasetStatusMessageCode
pattern DatasetStatusMessageCode_SERVICE_ERROR :: DatasetStatusMessageCode
pattern DatasetStatusMessageCode_SUCCESS :: DatasetStatusMessageCode

Instances

Instances details

FromJSON DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods parseJSON :: Value -> Parser DatasetStatusMessageCode # parseJSONList :: Value -> Parser [DatasetStatusMessageCode] #
FromJSONKey DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods fromJSONKey :: FromJSONKeyFunction DatasetStatusMessageCode # fromJSONKeyList :: FromJSONKeyFunction [DatasetStatusMessageCode] #
ToJSON DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toJSON :: DatasetStatusMessageCode -> Value # toEncoding :: DatasetStatusMessageCode -> Encoding # toJSONList :: [DatasetStatusMessageCode] -> Value # toEncodingList :: [DatasetStatusMessageCode] -> Encoding #
ToJSONKey DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toJSONKey :: ToJSONKeyFunction DatasetStatusMessageCode # toJSONKeyList :: ToJSONKeyFunction [DatasetStatusMessageCode] #
ToByteString DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toBS :: DatasetStatusMessageCode -> ByteString #
ToHeader DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toHeader :: HeaderName -> DatasetStatusMessageCode -> [Header] #
ToLog DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods build :: DatasetStatusMessageCode -> ByteStringBuilder #
ToQuery DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toQuery :: DatasetStatusMessageCode -> QueryString #
FromText DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods fromText :: Text -> Either String DatasetStatusMessageCode #
ToText DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toText :: DatasetStatusMessageCode -> Text #
FromXML DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods parseXML :: [Node] -> Either String DatasetStatusMessageCode #
ToXML DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toXML :: DatasetStatusMessageCode -> XML #
Generic DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Associated Types type Rep DatasetStatusMessageCode :: Type -> Type # Methods from :: DatasetStatusMessageCode -> Rep DatasetStatusMessageCode x # to :: Rep DatasetStatusMessageCode x -> DatasetStatusMessageCode #
Read DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods readsPrec :: Int -> ReadS DatasetStatusMessageCode # readList :: ReadS [DatasetStatusMessageCode] # readPrec :: ReadPrec DatasetStatusMessageCode # readListPrec :: ReadPrec [DatasetStatusMessageCode] #
Show DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods showsPrec :: Int -> DatasetStatusMessageCode -> ShowS # show :: DatasetStatusMessageCode -> String # showList :: [DatasetStatusMessageCode] -> ShowS #
NFData DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods rnf :: DatasetStatusMessageCode -> () #
Eq DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods (==) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (/=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool #
Ord DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods compare :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Ordering # (<) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (<=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (>) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (>=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # max :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> DatasetStatusMessageCode # min :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> DatasetStatusMessageCode #
Hashable DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods hashWithSalt :: Int -> DatasetStatusMessageCode -> Int # hash :: DatasetStatusMessageCode -> Int #
type Rep DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode type Rep DatasetStatusMessageCode = D1 ('MetaData "DatasetStatusMessageCode" "Amazonka.Rekognition.Types.DatasetStatusMessageCode" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetStatusMessageCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetStatusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetType

newtype DatasetType Source #

Constructors

DatasetType'
Fields fromDatasetType :: Text

Bundled Patterns

pattern DatasetType_TEST :: DatasetType
pattern DatasetType_TRAIN :: DatasetType

Instances

Instances details

FromJSON DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods parseJSON :: Value -> Parser DatasetType # parseJSONList :: Value -> Parser [DatasetType] #
FromJSONKey DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods fromJSONKey :: FromJSONKeyFunction DatasetType # fromJSONKeyList :: FromJSONKeyFunction [DatasetType] #
ToJSON DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toJSON :: DatasetType -> Value # toEncoding :: DatasetType -> Encoding # toJSONList :: [DatasetType] -> Value # toEncodingList :: [DatasetType] -> Encoding #
ToJSONKey DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toJSONKey :: ToJSONKeyFunction DatasetType # toJSONKeyList :: ToJSONKeyFunction [DatasetType] #
ToByteString DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toBS :: DatasetType -> ByteString #
ToHeader DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toHeader :: HeaderName -> DatasetType -> [Header] #
ToLog DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods build :: DatasetType -> ByteStringBuilder #
ToQuery DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toQuery :: DatasetType -> QueryString #
FromText DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods fromText :: Text -> Either String DatasetType #
ToText DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toText :: DatasetType -> Text #
FromXML DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods parseXML :: [Node] -> Either String DatasetType #
ToXML DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toXML :: DatasetType -> XML #
Generic DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Associated Types type Rep DatasetType :: Type -> Type # Methods from :: DatasetType -> Rep DatasetType x # to :: Rep DatasetType x -> DatasetType #
Read DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods readsPrec :: Int -> ReadS DatasetType # readList :: ReadS [DatasetType] # readPrec :: ReadPrec DatasetType # readListPrec :: ReadPrec [DatasetType] #
Show DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods showsPrec :: Int -> DatasetType -> ShowS # show :: DatasetType -> String # showList :: [DatasetType] -> ShowS #
NFData DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods rnf :: DatasetType -> () #
Eq DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods (==) :: DatasetType -> DatasetType -> Bool # (/=) :: DatasetType -> DatasetType -> Bool #
Ord DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods compare :: DatasetType -> DatasetType -> Ordering # (<) :: DatasetType -> DatasetType -> Bool # (<=) :: DatasetType -> DatasetType -> Bool # (>) :: DatasetType -> DatasetType -> Bool # (>=) :: DatasetType -> DatasetType -> Bool # max :: DatasetType -> DatasetType -> DatasetType # min :: DatasetType -> DatasetType -> DatasetType #
Hashable DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods hashWithSalt :: Int -> DatasetType -> Int # hash :: DatasetType -> Int #
type Rep DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType type Rep DatasetType = D1 ('MetaData "DatasetType" "Amazonka.Rekognition.Types.DatasetType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetectLabelsFeatureName

newtype DetectLabelsFeatureName Source #

Constructors

DetectLabelsFeatureName'
Fields fromDetectLabelsFeatureName :: Text

Bundled Patterns

pattern DetectLabelsFeatureName_GENERAL_LABELS :: DetectLabelsFeatureName
pattern DetectLabelsFeatureName_IMAGE_PROPERTIES :: DetectLabelsFeatureName

Instances

Instances details

FromJSON DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods parseJSON :: Value -> Parser DetectLabelsFeatureName # parseJSONList :: Value -> Parser [DetectLabelsFeatureName] #
FromJSONKey DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods fromJSONKey :: FromJSONKeyFunction DetectLabelsFeatureName # fromJSONKeyList :: FromJSONKeyFunction [DetectLabelsFeatureName] #
ToJSON DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toJSON :: DetectLabelsFeatureName -> Value # toEncoding :: DetectLabelsFeatureName -> Encoding # toJSONList :: [DetectLabelsFeatureName] -> Value # toEncodingList :: [DetectLabelsFeatureName] -> Encoding #
ToJSONKey DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toJSONKey :: ToJSONKeyFunction DetectLabelsFeatureName # toJSONKeyList :: ToJSONKeyFunction [DetectLabelsFeatureName] #
ToByteString DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toBS :: DetectLabelsFeatureName -> ByteString #
ToHeader DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toHeader :: HeaderName -> DetectLabelsFeatureName -> [Header] #
ToLog DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods build :: DetectLabelsFeatureName -> ByteStringBuilder #
ToQuery DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toQuery :: DetectLabelsFeatureName -> QueryString #
FromText DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods fromText :: Text -> Either String DetectLabelsFeatureName #
ToText DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toText :: DetectLabelsFeatureName -> Text #
FromXML DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods parseXML :: [Node] -> Either String DetectLabelsFeatureName #
ToXML DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toXML :: DetectLabelsFeatureName -> XML #
Generic DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Associated Types type Rep DetectLabelsFeatureName :: Type -> Type # Methods from :: DetectLabelsFeatureName -> Rep DetectLabelsFeatureName x # to :: Rep DetectLabelsFeatureName x -> DetectLabelsFeatureName #
Read DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods readsPrec :: Int -> ReadS DetectLabelsFeatureName # readList :: ReadS [DetectLabelsFeatureName] # readPrec :: ReadPrec DetectLabelsFeatureName # readListPrec :: ReadPrec [DetectLabelsFeatureName] #
Show DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods showsPrec :: Int -> DetectLabelsFeatureName -> ShowS # show :: DetectLabelsFeatureName -> String # showList :: [DetectLabelsFeatureName] -> ShowS #
NFData DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods rnf :: DetectLabelsFeatureName -> () #
Eq DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods (==) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (/=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool #
Ord DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods compare :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Ordering # (<) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (<=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (>) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (>=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # max :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> DetectLabelsFeatureName # min :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> DetectLabelsFeatureName #
Hashable DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods hashWithSalt :: Int -> DetectLabelsFeatureName -> Int # hash :: DetectLabelsFeatureName -> Int #
type Rep DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName type Rep DetectLabelsFeatureName = D1 ('MetaData "DetectLabelsFeatureName" "Amazonka.Rekognition.Types.DetectLabelsFeatureName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DetectLabelsFeatureName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetectLabelsFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EmotionName

newtype EmotionName Source #

Constructors

EmotionName'
Fields fromEmotionName :: Text

Bundled Patterns

pattern EmotionName_ANGRY :: EmotionName
pattern EmotionName_CALM :: EmotionName
pattern EmotionName_CONFUSED :: EmotionName
pattern EmotionName_DISGUSTED :: EmotionName
pattern EmotionName_FEAR :: EmotionName
pattern EmotionName_HAPPY :: EmotionName
pattern EmotionName_SAD :: EmotionName
pattern EmotionName_SURPRISED :: EmotionName
pattern EmotionName_UNKNOWN :: EmotionName

Instances

Instances details

FromJSON EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods parseJSON :: Value -> Parser EmotionName # parseJSONList :: Value -> Parser [EmotionName] #
FromJSONKey EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods fromJSONKey :: FromJSONKeyFunction EmotionName # fromJSONKeyList :: FromJSONKeyFunction [EmotionName] #
ToJSON EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toJSON :: EmotionName -> Value # toEncoding :: EmotionName -> Encoding # toJSONList :: [EmotionName] -> Value # toEncodingList :: [EmotionName] -> Encoding #
ToJSONKey EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toJSONKey :: ToJSONKeyFunction EmotionName # toJSONKeyList :: ToJSONKeyFunction [EmotionName] #
ToByteString EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toBS :: EmotionName -> ByteString #
ToHeader EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toHeader :: HeaderName -> EmotionName -> [Header] #
ToLog EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods build :: EmotionName -> ByteStringBuilder #
ToQuery EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toQuery :: EmotionName -> QueryString #
FromText EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods fromText :: Text -> Either String EmotionName #
ToText EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toText :: EmotionName -> Text #
FromXML EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods parseXML :: [Node] -> Either String EmotionName #
ToXML EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toXML :: EmotionName -> XML #
Generic EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Associated Types type Rep EmotionName :: Type -> Type # Methods from :: EmotionName -> Rep EmotionName x # to :: Rep EmotionName x -> EmotionName #
Read EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods readsPrec :: Int -> ReadS EmotionName # readList :: ReadS [EmotionName] # readPrec :: ReadPrec EmotionName # readListPrec :: ReadPrec [EmotionName] #
Show EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods showsPrec :: Int -> EmotionName -> ShowS # show :: EmotionName -> String # showList :: [EmotionName] -> ShowS #
NFData EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods rnf :: EmotionName -> () #
Eq EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods (==) :: EmotionName -> EmotionName -> Bool # (/=) :: EmotionName -> EmotionName -> Bool #
Ord EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods compare :: EmotionName -> EmotionName -> Ordering # (<) :: EmotionName -> EmotionName -> Bool # (<=) :: EmotionName -> EmotionName -> Bool # (>) :: EmotionName -> EmotionName -> Bool # (>=) :: EmotionName -> EmotionName -> Bool # max :: EmotionName -> EmotionName -> EmotionName # min :: EmotionName -> EmotionName -> EmotionName #
Hashable EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods hashWithSalt :: Int -> EmotionName -> Int # hash :: EmotionName -> Int #
type Rep EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName type Rep EmotionName = D1 ('MetaData "EmotionName" "Amazonka.Rekognition.Types.EmotionName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "EmotionName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEmotionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FaceAttributes

newtype FaceAttributes Source #

Constructors

FaceAttributes'
Fields fromFaceAttributes :: Text

Bundled Patterns

pattern FaceAttributes_ALL :: FaceAttributes
pattern FaceAttributes_DEFAULT :: FaceAttributes

Instances

Instances details

FromJSON FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods parseJSON :: Value -> Parser FaceAttributes # parseJSONList :: Value -> Parser [FaceAttributes] #
FromJSONKey FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods fromJSONKey :: FromJSONKeyFunction FaceAttributes # fromJSONKeyList :: FromJSONKeyFunction [FaceAttributes] #
ToJSON FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toJSON :: FaceAttributes -> Value # toEncoding :: FaceAttributes -> Encoding # toJSONList :: [FaceAttributes] -> Value # toEncodingList :: [FaceAttributes] -> Encoding #
ToJSONKey FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toJSONKey :: ToJSONKeyFunction FaceAttributes # toJSONKeyList :: ToJSONKeyFunction [FaceAttributes] #
ToByteString FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toBS :: FaceAttributes -> ByteString #
ToHeader FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toHeader :: HeaderName -> FaceAttributes -> [Header] #
ToLog FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods build :: FaceAttributes -> ByteStringBuilder #
ToQuery FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toQuery :: FaceAttributes -> QueryString #
FromText FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods fromText :: Text -> Either String FaceAttributes #
ToText FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toText :: FaceAttributes -> Text #
FromXML FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods parseXML :: [Node] -> Either String FaceAttributes #
ToXML FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toXML :: FaceAttributes -> XML #
Generic FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Associated Types type Rep FaceAttributes :: Type -> Type # Methods from :: FaceAttributes -> Rep FaceAttributes x # to :: Rep FaceAttributes x -> FaceAttributes #
Read FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods readsPrec :: Int -> ReadS FaceAttributes # readList :: ReadS [FaceAttributes] # readPrec :: ReadPrec FaceAttributes # readListPrec :: ReadPrec [FaceAttributes] #
Show FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods showsPrec :: Int -> FaceAttributes -> ShowS # show :: FaceAttributes -> String # showList :: [FaceAttributes] -> ShowS #
NFData FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods rnf :: FaceAttributes -> () #
Eq FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods (==) :: FaceAttributes -> FaceAttributes -> Bool # (/=) :: FaceAttributes -> FaceAttributes -> Bool #
Ord FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods compare :: FaceAttributes -> FaceAttributes -> Ordering # (<) :: FaceAttributes -> FaceAttributes -> Bool # (<=) :: FaceAttributes -> FaceAttributes -> Bool # (>) :: FaceAttributes -> FaceAttributes -> Bool # (>=) :: FaceAttributes -> FaceAttributes -> Bool # max :: FaceAttributes -> FaceAttributes -> FaceAttributes # min :: FaceAttributes -> FaceAttributes -> FaceAttributes #
Hashable FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods hashWithSalt :: Int -> FaceAttributes -> Int # hash :: FaceAttributes -> Int #
type Rep FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes type Rep FaceAttributes = D1 ('MetaData "FaceAttributes" "Amazonka.Rekognition.Types.FaceAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "FaceAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFaceAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FaceSearchSortBy

newtype FaceSearchSortBy Source #

Constructors

FaceSearchSortBy'
Fields fromFaceSearchSortBy :: Text

Bundled Patterns

pattern FaceSearchSortBy_INDEX :: FaceSearchSortBy
pattern FaceSearchSortBy_TIMESTAMP :: FaceSearchSortBy

Instances

Instances details

FromJSON FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods parseJSON :: Value -> Parser FaceSearchSortBy # parseJSONList :: Value -> Parser [FaceSearchSortBy] #
FromJSONKey FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods fromJSONKey :: FromJSONKeyFunction FaceSearchSortBy # fromJSONKeyList :: FromJSONKeyFunction [FaceSearchSortBy] #
ToJSON FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toJSON :: FaceSearchSortBy -> Value # toEncoding :: FaceSearchSortBy -> Encoding # toJSONList :: [FaceSearchSortBy] -> Value # toEncodingList :: [FaceSearchSortBy] -> Encoding #
ToJSONKey FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toJSONKey :: ToJSONKeyFunction FaceSearchSortBy # toJSONKeyList :: ToJSONKeyFunction [FaceSearchSortBy] #
ToByteString FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toBS :: FaceSearchSortBy -> ByteString #
ToHeader FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toHeader :: HeaderName -> FaceSearchSortBy -> [Header] #
ToLog FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods build :: FaceSearchSortBy -> ByteStringBuilder #
ToQuery FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toQuery :: FaceSearchSortBy -> QueryString #
FromText FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods fromText :: Text -> Either String FaceSearchSortBy #
ToText FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toText :: FaceSearchSortBy -> Text #
FromXML FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods parseXML :: [Node] -> Either String FaceSearchSortBy #
ToXML FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toXML :: FaceSearchSortBy -> XML #
Generic FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Associated Types type Rep FaceSearchSortBy :: Type -> Type # Methods from :: FaceSearchSortBy -> Rep FaceSearchSortBy x # to :: Rep FaceSearchSortBy x -> FaceSearchSortBy #
Read FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods readsPrec :: Int -> ReadS FaceSearchSortBy # readList :: ReadS [FaceSearchSortBy] # readPrec :: ReadPrec FaceSearchSortBy # readListPrec :: ReadPrec [FaceSearchSortBy] #
Show FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods showsPrec :: Int -> FaceSearchSortBy -> ShowS # show :: FaceSearchSortBy -> String # showList :: [FaceSearchSortBy] -> ShowS #
NFData FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods rnf :: FaceSearchSortBy -> () #
Eq FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods (==) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (/=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool #
Ord FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods compare :: FaceSearchSortBy -> FaceSearchSortBy -> Ordering # (<) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (<=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (>) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (>=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # max :: FaceSearchSortBy -> FaceSearchSortBy -> FaceSearchSortBy # min :: FaceSearchSortBy -> FaceSearchSortBy -> FaceSearchSortBy #
Hashable FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods hashWithSalt :: Int -> FaceSearchSortBy -> Int # hash :: FaceSearchSortBy -> Int #
type Rep FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy type Rep FaceSearchSortBy = D1 ('MetaData "FaceSearchSortBy" "Amazonka.Rekognition.Types.FaceSearchSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "FaceSearchSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFaceSearchSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

GenderType

newtype GenderType Source #

Constructors

GenderType'
Fields fromGenderType :: Text

Bundled Patterns

pattern GenderType_Female :: GenderType
pattern GenderType_Male :: GenderType

Instances

Instances details

FromJSON GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods parseJSON :: Value -> Parser GenderType # parseJSONList :: Value -> Parser [GenderType] #
FromJSONKey GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods fromJSONKey :: FromJSONKeyFunction GenderType # fromJSONKeyList :: FromJSONKeyFunction [GenderType] #
ToJSON GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toJSON :: GenderType -> Value # toEncoding :: GenderType -> Encoding # toJSONList :: [GenderType] -> Value # toEncodingList :: [GenderType] -> Encoding #
ToJSONKey GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toJSONKey :: ToJSONKeyFunction GenderType # toJSONKeyList :: ToJSONKeyFunction [GenderType] #
ToByteString GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toBS :: GenderType -> ByteString #
ToHeader GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toHeader :: HeaderName -> GenderType -> [Header] #
ToLog GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods build :: GenderType -> ByteStringBuilder #
ToQuery GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toQuery :: GenderType -> QueryString #
FromText GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods fromText :: Text -> Either String GenderType #
ToText GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toText :: GenderType -> Text #
FromXML GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods parseXML :: [Node] -> Either String GenderType #
ToXML GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toXML :: GenderType -> XML #
Generic GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Associated Types type Rep GenderType :: Type -> Type # Methods from :: GenderType -> Rep GenderType x # to :: Rep GenderType x -> GenderType #
Read GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods readsPrec :: Int -> ReadS GenderType # readList :: ReadS [GenderType] # readPrec :: ReadPrec GenderType # readListPrec :: ReadPrec [GenderType] #
Show GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods showsPrec :: Int -> GenderType -> ShowS # show :: GenderType -> String # showList :: [GenderType] -> ShowS #
NFData GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods rnf :: GenderType -> () #
Eq GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods (==) :: GenderType -> GenderType -> Bool # (/=) :: GenderType -> GenderType -> Bool #
Ord GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods compare :: GenderType -> GenderType -> Ordering # (<) :: GenderType -> GenderType -> Bool # (<=) :: GenderType -> GenderType -> Bool # (>) :: GenderType -> GenderType -> Bool # (>=) :: GenderType -> GenderType -> Bool # max :: GenderType -> GenderType -> GenderType # min :: GenderType -> GenderType -> GenderType #
Hashable GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods hashWithSalt :: Int -> GenderType -> Int # hash :: GenderType -> Int #
type Rep GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType type Rep GenderType = D1 ('MetaData "GenderType" "Amazonka.Rekognition.Types.GenderType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "GenderType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromGenderType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

KnownGenderType

newtype KnownGenderType Source #

A list of enum string of possible gender values that Celebrity returns.

Constructors

KnownGenderType'
Fields fromKnownGenderType :: Text

Bundled Patterns

pattern KnownGenderType_Female :: KnownGenderType
pattern KnownGenderType_Male :: KnownGenderType
pattern KnownGenderType_Nonbinary :: KnownGenderType
pattern KnownGenderType_Unlisted :: KnownGenderType

Instances

Instances details

FromJSON KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods parseJSON :: Value -> Parser KnownGenderType # parseJSONList :: Value -> Parser [KnownGenderType] #
FromJSONKey KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods fromJSONKey :: FromJSONKeyFunction KnownGenderType # fromJSONKeyList :: FromJSONKeyFunction [KnownGenderType] #
ToJSON KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toJSON :: KnownGenderType -> Value # toEncoding :: KnownGenderType -> Encoding # toJSONList :: [KnownGenderType] -> Value # toEncodingList :: [KnownGenderType] -> Encoding #
ToJSONKey KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toJSONKey :: ToJSONKeyFunction KnownGenderType # toJSONKeyList :: ToJSONKeyFunction [KnownGenderType] #
ToByteString KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toBS :: KnownGenderType -> ByteString #
ToHeader KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toHeader :: HeaderName -> KnownGenderType -> [Header] #
ToLog KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods build :: KnownGenderType -> ByteStringBuilder #
ToQuery KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toQuery :: KnownGenderType -> QueryString #
FromText KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods fromText :: Text -> Either String KnownGenderType #
ToText KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toText :: KnownGenderType -> Text #
FromXML KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods parseXML :: [Node] -> Either String KnownGenderType #
ToXML KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toXML :: KnownGenderType -> XML #
Generic KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Associated Types type Rep KnownGenderType :: Type -> Type # Methods from :: KnownGenderType -> Rep KnownGenderType x # to :: Rep KnownGenderType x -> KnownGenderType #
Read KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods readsPrec :: Int -> ReadS KnownGenderType # readList :: ReadS [KnownGenderType] # readPrec :: ReadPrec KnownGenderType # readListPrec :: ReadPrec [KnownGenderType] #
Show KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods showsPrec :: Int -> KnownGenderType -> ShowS # show :: KnownGenderType -> String # showList :: [KnownGenderType] -> ShowS #
NFData KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods rnf :: KnownGenderType -> () #
Eq KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods (==) :: KnownGenderType -> KnownGenderType -> Bool # (/=) :: KnownGenderType -> KnownGenderType -> Bool #
Ord KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods compare :: KnownGenderType -> KnownGenderType -> Ordering # (<) :: KnownGenderType -> KnownGenderType -> Bool # (<=) :: KnownGenderType -> KnownGenderType -> Bool # (>) :: KnownGenderType -> KnownGenderType -> Bool # (>=) :: KnownGenderType -> KnownGenderType -> Bool # max :: KnownGenderType -> KnownGenderType -> KnownGenderType # min :: KnownGenderType -> KnownGenderType -> KnownGenderType #
Hashable KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods hashWithSalt :: Int -> KnownGenderType -> Int # hash :: KnownGenderType -> Int #
type Rep KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType type Rep KnownGenderType = D1 ('MetaData "KnownGenderType" "Amazonka.Rekognition.Types.KnownGenderType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "KnownGenderType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromKnownGenderType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionAggregateBy

newtype LabelDetectionAggregateBy Source #

Constructors

LabelDetectionAggregateBy'
Fields fromLabelDetectionAggregateBy :: Text

Bundled Patterns

pattern LabelDetectionAggregateBy_SEGMENTS :: LabelDetectionAggregateBy
pattern LabelDetectionAggregateBy_TIMESTAMPS :: LabelDetectionAggregateBy

Instances

Instances details

FromJSON LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods parseJSON :: Value -> Parser LabelDetectionAggregateBy # parseJSONList :: Value -> Parser [LabelDetectionAggregateBy] #
FromJSONKey LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionAggregateBy # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionAggregateBy] #
ToJSON LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toJSON :: LabelDetectionAggregateBy -> Value # toEncoding :: LabelDetectionAggregateBy -> Encoding # toJSONList :: [LabelDetectionAggregateBy] -> Value # toEncodingList :: [LabelDetectionAggregateBy] -> Encoding #
ToJSONKey LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toJSONKey :: ToJSONKeyFunction LabelDetectionAggregateBy # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionAggregateBy] #
ToByteString LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toBS :: LabelDetectionAggregateBy -> ByteString #
ToHeader LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toHeader :: HeaderName -> LabelDetectionAggregateBy -> [Header] #
ToLog LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods build :: LabelDetectionAggregateBy -> ByteStringBuilder #
ToQuery LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toQuery :: LabelDetectionAggregateBy -> QueryString #
FromText LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods fromText :: Text -> Either String LabelDetectionAggregateBy #
ToText LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toText :: LabelDetectionAggregateBy -> Text #
FromXML LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods parseXML :: [Node] -> Either String LabelDetectionAggregateBy #
ToXML LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toXML :: LabelDetectionAggregateBy -> XML #
Generic LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Associated Types type Rep LabelDetectionAggregateBy :: Type -> Type # Methods from :: LabelDetectionAggregateBy -> Rep LabelDetectionAggregateBy x # to :: Rep LabelDetectionAggregateBy x -> LabelDetectionAggregateBy #
Read LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods readsPrec :: Int -> ReadS LabelDetectionAggregateBy # readList :: ReadS [LabelDetectionAggregateBy] # readPrec :: ReadPrec LabelDetectionAggregateBy # readListPrec :: ReadPrec [LabelDetectionAggregateBy] #
Show LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods showsPrec :: Int -> LabelDetectionAggregateBy -> ShowS # show :: LabelDetectionAggregateBy -> String # showList :: [LabelDetectionAggregateBy] -> ShowS #
NFData LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods rnf :: LabelDetectionAggregateBy -> () #
Eq LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods (==) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (/=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool #
Ord LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods compare :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Ordering # (<) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (<=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (>) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (>=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # max :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> LabelDetectionAggregateBy # min :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> LabelDetectionAggregateBy #
Hashable LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods hashWithSalt :: Int -> LabelDetectionAggregateBy -> Int # hash :: LabelDetectionAggregateBy -> Int #
type Rep LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy type Rep LabelDetectionAggregateBy = D1 ('MetaData "LabelDetectionAggregateBy" "Amazonka.Rekognition.Types.LabelDetectionAggregateBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionAggregateBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionAggregateBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionFeatureName

newtype LabelDetectionFeatureName Source #

Constructors

LabelDetectionFeatureName'
Fields fromLabelDetectionFeatureName :: Text

Bundled Patterns

pattern LabelDetectionFeatureName_GENERAL_LABELS :: LabelDetectionFeatureName

Instances

Instances details

FromJSON LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods parseJSON :: Value -> Parser LabelDetectionFeatureName # parseJSONList :: Value -> Parser [LabelDetectionFeatureName] #
FromJSONKey LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionFeatureName # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionFeatureName] #
ToJSON LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toJSON :: LabelDetectionFeatureName -> Value # toEncoding :: LabelDetectionFeatureName -> Encoding # toJSONList :: [LabelDetectionFeatureName] -> Value # toEncodingList :: [LabelDetectionFeatureName] -> Encoding #
ToJSONKey LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toJSONKey :: ToJSONKeyFunction LabelDetectionFeatureName # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionFeatureName] #
ToByteString LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toBS :: LabelDetectionFeatureName -> ByteString #
ToHeader LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toHeader :: HeaderName -> LabelDetectionFeatureName -> [Header] #
ToLog LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods build :: LabelDetectionFeatureName -> ByteStringBuilder #
ToQuery LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toQuery :: LabelDetectionFeatureName -> QueryString #
FromText LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods fromText :: Text -> Either String LabelDetectionFeatureName #
ToText LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toText :: LabelDetectionFeatureName -> Text #
FromXML LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods parseXML :: [Node] -> Either String LabelDetectionFeatureName #
ToXML LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toXML :: LabelDetectionFeatureName -> XML #
Generic LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Associated Types type Rep LabelDetectionFeatureName :: Type -> Type # Methods from :: LabelDetectionFeatureName -> Rep LabelDetectionFeatureName x # to :: Rep LabelDetectionFeatureName x -> LabelDetectionFeatureName #
Read LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods readsPrec :: Int -> ReadS LabelDetectionFeatureName # readList :: ReadS [LabelDetectionFeatureName] # readPrec :: ReadPrec LabelDetectionFeatureName # readListPrec :: ReadPrec [LabelDetectionFeatureName] #
Show LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods showsPrec :: Int -> LabelDetectionFeatureName -> ShowS # show :: LabelDetectionFeatureName -> String # showList :: [LabelDetectionFeatureName] -> ShowS #
NFData LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods rnf :: LabelDetectionFeatureName -> () #
Eq LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods (==) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (/=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool #
Ord LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods compare :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Ordering # (<) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (<=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (>) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (>=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # max :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> LabelDetectionFeatureName # min :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> LabelDetectionFeatureName #
Hashable LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods hashWithSalt :: Int -> LabelDetectionFeatureName -> Int # hash :: LabelDetectionFeatureName -> Int #
type Rep LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName type Rep LabelDetectionFeatureName = D1 ('MetaData "LabelDetectionFeatureName" "Amazonka.Rekognition.Types.LabelDetectionFeatureName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionFeatureName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionSortBy

newtype LabelDetectionSortBy Source #

Constructors

LabelDetectionSortBy'
Fields fromLabelDetectionSortBy :: Text

Bundled Patterns

pattern LabelDetectionSortBy_NAME :: LabelDetectionSortBy
pattern LabelDetectionSortBy_TIMESTAMP :: LabelDetectionSortBy

Instances

Instances details

FromJSON LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods parseJSON :: Value -> Parser LabelDetectionSortBy # parseJSONList :: Value -> Parser [LabelDetectionSortBy] #
FromJSONKey LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionSortBy # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionSortBy] #
ToJSON LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toJSON :: LabelDetectionSortBy -> Value # toEncoding :: LabelDetectionSortBy -> Encoding # toJSONList :: [LabelDetectionSortBy] -> Value # toEncodingList :: [LabelDetectionSortBy] -> Encoding #
ToJSONKey LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toJSONKey :: ToJSONKeyFunction LabelDetectionSortBy # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionSortBy] #
ToByteString LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toBS :: LabelDetectionSortBy -> ByteString #
ToHeader LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toHeader :: HeaderName -> LabelDetectionSortBy -> [Header] #
ToLog LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods build :: LabelDetectionSortBy -> ByteStringBuilder #
ToQuery LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toQuery :: LabelDetectionSortBy -> QueryString #
FromText LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods fromText :: Text -> Either String LabelDetectionSortBy #
ToText LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toText :: LabelDetectionSortBy -> Text #
FromXML LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods parseXML :: [Node] -> Either String LabelDetectionSortBy #
ToXML LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toXML :: LabelDetectionSortBy -> XML #
Generic LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Associated Types type Rep LabelDetectionSortBy :: Type -> Type # Methods from :: LabelDetectionSortBy -> Rep LabelDetectionSortBy x # to :: Rep LabelDetectionSortBy x -> LabelDetectionSortBy #
Read LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods readsPrec :: Int -> ReadS LabelDetectionSortBy # readList :: ReadS [LabelDetectionSortBy] # readPrec :: ReadPrec LabelDetectionSortBy # readListPrec :: ReadPrec [LabelDetectionSortBy] #
Show LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods showsPrec :: Int -> LabelDetectionSortBy -> ShowS # show :: LabelDetectionSortBy -> String # showList :: [LabelDetectionSortBy] -> ShowS #
NFData LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods rnf :: LabelDetectionSortBy -> () #
Eq LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods (==) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (/=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool #
Ord LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods compare :: LabelDetectionSortBy -> LabelDetectionSortBy -> Ordering # (<) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (<=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (>) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (>=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # max :: LabelDetectionSortBy -> LabelDetectionSortBy -> LabelDetectionSortBy # min :: LabelDetectionSortBy -> LabelDetectionSortBy -> LabelDetectionSortBy #
Hashable LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods hashWithSalt :: Int -> LabelDetectionSortBy -> Int # hash :: LabelDetectionSortBy -> Int #
type Rep LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy type Rep LabelDetectionSortBy = D1 ('MetaData "LabelDetectionSortBy" "Amazonka.Rekognition.Types.LabelDetectionSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LandmarkType

newtype LandmarkType Source #

Constructors

LandmarkType'
Fields fromLandmarkType :: Text

Bundled Patterns

pattern LandmarkType_ChinBottom :: LandmarkType
pattern LandmarkType_EyeLeft :: LandmarkType
pattern LandmarkType_EyeRight :: LandmarkType
pattern LandmarkType_LeftEyeBrowLeft :: LandmarkType
pattern LandmarkType_LeftEyeBrowRight :: LandmarkType
pattern LandmarkType_LeftEyeBrowUp :: LandmarkType
pattern LandmarkType_LeftEyeDown :: LandmarkType
pattern LandmarkType_LeftEyeLeft :: LandmarkType
pattern LandmarkType_LeftEyeRight :: LandmarkType
pattern LandmarkType_LeftEyeUp :: LandmarkType
pattern LandmarkType_LeftPupil :: LandmarkType
pattern LandmarkType_MidJawlineLeft :: LandmarkType
pattern LandmarkType_MidJawlineRight :: LandmarkType
pattern LandmarkType_MouthDown :: LandmarkType
pattern LandmarkType_MouthLeft :: LandmarkType
pattern LandmarkType_MouthRight :: LandmarkType
pattern LandmarkType_MouthUp :: LandmarkType
pattern LandmarkType_Nose :: LandmarkType
pattern LandmarkType_NoseLeft :: LandmarkType
pattern LandmarkType_NoseRight :: LandmarkType
pattern LandmarkType_RightEyeBrowLeft :: LandmarkType
pattern LandmarkType_RightEyeBrowRight :: LandmarkType
pattern LandmarkType_RightEyeBrowUp :: LandmarkType
pattern LandmarkType_RightEyeDown :: LandmarkType
pattern LandmarkType_RightEyeLeft :: LandmarkType
pattern LandmarkType_RightEyeRight :: LandmarkType
pattern LandmarkType_RightEyeUp :: LandmarkType
pattern LandmarkType_RightPupil :: LandmarkType
pattern LandmarkType_UpperJawlineLeft :: LandmarkType
pattern LandmarkType_UpperJawlineRight :: LandmarkType

Instances

Instances details

FromJSON LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods parseJSON :: Value -> Parser LandmarkType # parseJSONList :: Value -> Parser [LandmarkType] #
FromJSONKey LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods fromJSONKey :: FromJSONKeyFunction LandmarkType # fromJSONKeyList :: FromJSONKeyFunction [LandmarkType] #
ToJSON LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toJSON :: LandmarkType -> Value # toEncoding :: LandmarkType -> Encoding # toJSONList :: [LandmarkType] -> Value # toEncodingList :: [LandmarkType] -> Encoding #
ToJSONKey LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toJSONKey :: ToJSONKeyFunction LandmarkType # toJSONKeyList :: ToJSONKeyFunction [LandmarkType] #
ToByteString LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toBS :: LandmarkType -> ByteString #
ToHeader LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toHeader :: HeaderName -> LandmarkType -> [Header] #
ToLog LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods build :: LandmarkType -> ByteStringBuilder #
ToQuery LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toQuery :: LandmarkType -> QueryString #
FromText LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods fromText :: Text -> Either String LandmarkType #
ToText LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toText :: LandmarkType -> Text #
FromXML LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods parseXML :: [Node] -> Either String LandmarkType #
ToXML LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toXML :: LandmarkType -> XML #
Generic LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Associated Types type Rep LandmarkType :: Type -> Type # Methods from :: LandmarkType -> Rep LandmarkType x # to :: Rep LandmarkType x -> LandmarkType #
Read LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods readsPrec :: Int -> ReadS LandmarkType # readList :: ReadS [LandmarkType] # readPrec :: ReadPrec LandmarkType # readListPrec :: ReadPrec [LandmarkType] #
Show LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods showsPrec :: Int -> LandmarkType -> ShowS # show :: LandmarkType -> String # showList :: [LandmarkType] -> ShowS #
NFData LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods rnf :: LandmarkType -> () #
Eq LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods (==) :: LandmarkType -> LandmarkType -> Bool # (/=) :: LandmarkType -> LandmarkType -> Bool #
Ord LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods compare :: LandmarkType -> LandmarkType -> Ordering # (<) :: LandmarkType -> LandmarkType -> Bool # (<=) :: LandmarkType -> LandmarkType -> Bool # (>) :: LandmarkType -> LandmarkType -> Bool # (>=) :: LandmarkType -> LandmarkType -> Bool # max :: LandmarkType -> LandmarkType -> LandmarkType # min :: LandmarkType -> LandmarkType -> LandmarkType #
Hashable LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods hashWithSalt :: Int -> LandmarkType -> Int # hash :: LandmarkType -> Int #
type Rep LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType type Rep LandmarkType = D1 ('MetaData "LandmarkType" "Amazonka.Rekognition.Types.LandmarkType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LandmarkType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLandmarkType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OrientationCorrection

newtype OrientationCorrection Source #

Constructors

OrientationCorrection'
Fields fromOrientationCorrection :: Text

Bundled Patterns

pattern OrientationCorrection_ROTATE_0 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_180 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_270 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_90 :: OrientationCorrection

Instances

Instances details

FromJSON OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods parseJSON :: Value -> Parser OrientationCorrection # parseJSONList :: Value -> Parser [OrientationCorrection] #
FromJSONKey OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods fromJSONKey :: FromJSONKeyFunction OrientationCorrection # fromJSONKeyList :: FromJSONKeyFunction [OrientationCorrection] #
ToJSON OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toJSON :: OrientationCorrection -> Value # toEncoding :: OrientationCorrection -> Encoding # toJSONList :: [OrientationCorrection] -> Value # toEncodingList :: [OrientationCorrection] -> Encoding #
ToJSONKey OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toJSONKey :: ToJSONKeyFunction OrientationCorrection # toJSONKeyList :: ToJSONKeyFunction [OrientationCorrection] #
ToByteString OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toBS :: OrientationCorrection -> ByteString #
ToHeader OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toHeader :: HeaderName -> OrientationCorrection -> [Header] #
ToLog OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods build :: OrientationCorrection -> ByteStringBuilder #
ToQuery OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toQuery :: OrientationCorrection -> QueryString #
FromText OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods fromText :: Text -> Either String OrientationCorrection #
ToText OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toText :: OrientationCorrection -> Text #
FromXML OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods parseXML :: [Node] -> Either String OrientationCorrection #
ToXML OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toXML :: OrientationCorrection -> XML #
Generic OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Associated Types type Rep OrientationCorrection :: Type -> Type # Methods from :: OrientationCorrection -> Rep OrientationCorrection x # to :: Rep OrientationCorrection x -> OrientationCorrection #
Read OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods readsPrec :: Int -> ReadS OrientationCorrection # readList :: ReadS [OrientationCorrection] # readPrec :: ReadPrec OrientationCorrection # readListPrec :: ReadPrec [OrientationCorrection] #
Show OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods showsPrec :: Int -> OrientationCorrection -> ShowS # show :: OrientationCorrection -> String # showList :: [OrientationCorrection] -> ShowS #
NFData OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods rnf :: OrientationCorrection -> () #
Eq OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods (==) :: OrientationCorrection -> OrientationCorrection -> Bool # (/=) :: OrientationCorrection -> OrientationCorrection -> Bool #
Ord OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods compare :: OrientationCorrection -> OrientationCorrection -> Ordering # (<) :: OrientationCorrection -> OrientationCorrection -> Bool # (<=) :: OrientationCorrection -> OrientationCorrection -> Bool # (>) :: OrientationCorrection -> OrientationCorrection -> Bool # (>=) :: OrientationCorrection -> OrientationCorrection -> Bool # max :: OrientationCorrection -> OrientationCorrection -> OrientationCorrection # min :: OrientationCorrection -> OrientationCorrection -> OrientationCorrection #
Hashable OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods hashWithSalt :: Int -> OrientationCorrection -> Int # hash :: OrientationCorrection -> Int #
type Rep OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection type Rep OrientationCorrection = D1 ('MetaData "OrientationCorrection" "Amazonka.Rekognition.Types.OrientationCorrection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "OrientationCorrection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PersonTrackingSortBy

newtype PersonTrackingSortBy Source #

Constructors

PersonTrackingSortBy'
Fields fromPersonTrackingSortBy :: Text

Bundled Patterns

pattern PersonTrackingSortBy_INDEX :: PersonTrackingSortBy
pattern PersonTrackingSortBy_TIMESTAMP :: PersonTrackingSortBy

Instances

Instances details

FromJSON PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods parseJSON :: Value -> Parser PersonTrackingSortBy # parseJSONList :: Value -> Parser [PersonTrackingSortBy] #
FromJSONKey PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods fromJSONKey :: FromJSONKeyFunction PersonTrackingSortBy # fromJSONKeyList :: FromJSONKeyFunction [PersonTrackingSortBy] #
ToJSON PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toJSON :: PersonTrackingSortBy -> Value # toEncoding :: PersonTrackingSortBy -> Encoding # toJSONList :: [PersonTrackingSortBy] -> Value # toEncodingList :: [PersonTrackingSortBy] -> Encoding #
ToJSONKey PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toJSONKey :: ToJSONKeyFunction PersonTrackingSortBy # toJSONKeyList :: ToJSONKeyFunction [PersonTrackingSortBy] #
ToByteString PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toBS :: PersonTrackingSortBy -> ByteString #
ToHeader PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toHeader :: HeaderName -> PersonTrackingSortBy -> [Header] #
ToLog PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods build :: PersonTrackingSortBy -> ByteStringBuilder #
ToQuery PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toQuery :: PersonTrackingSortBy -> QueryString #
FromText PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods fromText :: Text -> Either String PersonTrackingSortBy #
ToText PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toText :: PersonTrackingSortBy -> Text #
FromXML PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods parseXML :: [Node] -> Either String PersonTrackingSortBy #
ToXML PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toXML :: PersonTrackingSortBy -> XML #
Generic PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Associated Types type Rep PersonTrackingSortBy :: Type -> Type # Methods from :: PersonTrackingSortBy -> Rep PersonTrackingSortBy x # to :: Rep PersonTrackingSortBy x -> PersonTrackingSortBy #
Read PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods readsPrec :: Int -> ReadS PersonTrackingSortBy # readList :: ReadS [PersonTrackingSortBy] # readPrec :: ReadPrec PersonTrackingSortBy # readListPrec :: ReadPrec [PersonTrackingSortBy] #
Show PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods showsPrec :: Int -> PersonTrackingSortBy -> ShowS # show :: PersonTrackingSortBy -> String # showList :: [PersonTrackingSortBy] -> ShowS #
NFData PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods rnf :: PersonTrackingSortBy -> () #
Eq PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods (==) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (/=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool #
Ord PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods compare :: PersonTrackingSortBy -> PersonTrackingSortBy -> Ordering # (<) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (<=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (>) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (>=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # max :: PersonTrackingSortBy -> PersonTrackingSortBy -> PersonTrackingSortBy # min :: PersonTrackingSortBy -> PersonTrackingSortBy -> PersonTrackingSortBy #
Hashable PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods hashWithSalt :: Int -> PersonTrackingSortBy -> Int # hash :: PersonTrackingSortBy -> Int #
type Rep PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy type Rep PersonTrackingSortBy = D1 ('MetaData "PersonTrackingSortBy" "Amazonka.Rekognition.Types.PersonTrackingSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "PersonTrackingSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPersonTrackingSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectStatus

newtype ProjectStatus Source #

Constructors

ProjectStatus'
Fields fromProjectStatus :: Text

Bundled Patterns

pattern ProjectStatus_CREATED :: ProjectStatus
pattern ProjectStatus_CREATING :: ProjectStatus
pattern ProjectStatus_DELETING :: ProjectStatus

Instances

Instances details

FromJSON ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods parseJSON :: Value -> Parser ProjectStatus # parseJSONList :: Value -> Parser [ProjectStatus] #
FromJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods fromJSONKey :: FromJSONKeyFunction ProjectStatus # fromJSONKeyList :: FromJSONKeyFunction [ProjectStatus] #
ToJSON ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toJSON :: ProjectStatus -> Value # toEncoding :: ProjectStatus -> Encoding # toJSONList :: [ProjectStatus] -> Value # toEncodingList :: [ProjectStatus] -> Encoding #
ToJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toJSONKey :: ToJSONKeyFunction ProjectStatus # toJSONKeyList :: ToJSONKeyFunction [ProjectStatus] #
ToByteString ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toBS :: ProjectStatus -> ByteString #
ToHeader ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toHeader :: HeaderName -> ProjectStatus -> [Header] #
ToLog ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods build :: ProjectStatus -> ByteStringBuilder #
ToQuery ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toQuery :: ProjectStatus -> QueryString #
FromText ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods fromText :: Text -> Either String ProjectStatus #
ToText ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toText :: ProjectStatus -> Text #
FromXML ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods parseXML :: [Node] -> Either String ProjectStatus #
ToXML ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toXML :: ProjectStatus -> XML #
Generic ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Associated Types type Rep ProjectStatus :: Type -> Type # Methods from :: ProjectStatus -> Rep ProjectStatus x # to :: Rep ProjectStatus x -> ProjectStatus #
Read ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods readsPrec :: Int -> ReadS ProjectStatus # readList :: ReadS [ProjectStatus] # readPrec :: ReadPrec ProjectStatus # readListPrec :: ReadPrec [ProjectStatus] #
Show ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods showsPrec :: Int -> ProjectStatus -> ShowS # show :: ProjectStatus -> String # showList :: [ProjectStatus] -> ShowS #
NFData ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods rnf :: ProjectStatus -> () #
Eq ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods (==) :: ProjectStatus -> ProjectStatus -> Bool # (/=) :: ProjectStatus -> ProjectStatus -> Bool #
Ord ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods compare :: ProjectStatus -> ProjectStatus -> Ordering # (<) :: ProjectStatus -> ProjectStatus -> Bool # (<=) :: ProjectStatus -> ProjectStatus -> Bool # (>) :: ProjectStatus -> ProjectStatus -> Bool # (>=) :: ProjectStatus -> ProjectStatus -> Bool # max :: ProjectStatus -> ProjectStatus -> ProjectStatus # min :: ProjectStatus -> ProjectStatus -> ProjectStatus #
Hashable ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods hashWithSalt :: Int -> ProjectStatus -> Int # hash :: ProjectStatus -> Int #
type Rep ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus type Rep ProjectStatus = D1 ('MetaData "ProjectStatus" "Amazonka.Rekognition.Types.ProjectStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProjectStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectVersionStatus

newtype ProjectVersionStatus Source #

Constructors

ProjectVersionStatus'
Fields fromProjectVersionStatus :: Text

Bundled Patterns

pattern ProjectVersionStatus_COPYING_COMPLETED :: ProjectVersionStatus
pattern ProjectVersionStatus_COPYING_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_COPYING_IN_PROGRESS :: ProjectVersionStatus
pattern ProjectVersionStatus_DELETING :: ProjectVersionStatus
pattern ProjectVersionStatus_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_RUNNING :: ProjectVersionStatus
pattern ProjectVersionStatus_STARTING :: ProjectVersionStatus
pattern ProjectVersionStatus_STOPPED :: ProjectVersionStatus
pattern ProjectVersionStatus_STOPPING :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_COMPLETED :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_IN_PROGRESS :: ProjectVersionStatus

Instances

Instances details

FromJSON ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods parseJSON :: Value -> Parser ProjectVersionStatus # parseJSONList :: Value -> Parser [ProjectVersionStatus] #
FromJSONKey ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods fromJSONKey :: FromJSONKeyFunction ProjectVersionStatus # fromJSONKeyList :: FromJSONKeyFunction [ProjectVersionStatus] #
ToJSON ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toJSON :: ProjectVersionStatus -> Value # toEncoding :: ProjectVersionStatus -> Encoding # toJSONList :: [ProjectVersionStatus] -> Value # toEncodingList :: [ProjectVersionStatus] -> Encoding #
ToJSONKey ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toJSONKey :: ToJSONKeyFunction ProjectVersionStatus # toJSONKeyList :: ToJSONKeyFunction [ProjectVersionStatus] #
ToByteString ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toBS :: ProjectVersionStatus -> ByteString #
ToHeader ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toHeader :: HeaderName -> ProjectVersionStatus -> [Header] #
ToLog ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods build :: ProjectVersionStatus -> ByteStringBuilder #
ToQuery ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toQuery :: ProjectVersionStatus -> QueryString #
FromText ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods fromText :: Text -> Either String ProjectVersionStatus #
ToText ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toText :: ProjectVersionStatus -> Text #
FromXML ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods parseXML :: [Node] -> Either String ProjectVersionStatus #
ToXML ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toXML :: ProjectVersionStatus -> XML #
Generic ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Associated Types type Rep ProjectVersionStatus :: Type -> Type # Methods from :: ProjectVersionStatus -> Rep ProjectVersionStatus x # to :: Rep ProjectVersionStatus x -> ProjectVersionStatus #
Read ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods readsPrec :: Int -> ReadS ProjectVersionStatus # readList :: ReadS [ProjectVersionStatus] # readPrec :: ReadPrec ProjectVersionStatus # readListPrec :: ReadPrec [ProjectVersionStatus] #
Show ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods showsPrec :: Int -> ProjectVersionStatus -> ShowS # show :: ProjectVersionStatus -> String # showList :: [ProjectVersionStatus] -> ShowS #
NFData ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods rnf :: ProjectVersionStatus -> () #
Eq ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods (==) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (/=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool #
Ord ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods compare :: ProjectVersionStatus -> ProjectVersionStatus -> Ordering # (<) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (<=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (>) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (>=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # max :: ProjectVersionStatus -> ProjectVersionStatus -> ProjectVersionStatus # min :: ProjectVersionStatus -> ProjectVersionStatus -> ProjectVersionStatus #
Hashable ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods hashWithSalt :: Int -> ProjectVersionStatus -> Int # hash :: ProjectVersionStatus -> Int #
type Rep ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus type Rep ProjectVersionStatus = D1 ('MetaData "ProjectVersionStatus" "Amazonka.Rekognition.Types.ProjectVersionStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProjectVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProtectiveEquipmentType

newtype ProtectiveEquipmentType Source #

Constructors

ProtectiveEquipmentType'
Fields fromProtectiveEquipmentType :: Text

Bundled Patterns

pattern ProtectiveEquipmentType_FACE_COVER :: ProtectiveEquipmentType
pattern ProtectiveEquipmentType_HAND_COVER :: ProtectiveEquipmentType
pattern ProtectiveEquipmentType_HEAD_COVER :: ProtectiveEquipmentType

Instances

Instances details

FromJSON ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods parseJSON :: Value -> Parser ProtectiveEquipmentType # parseJSONList :: Value -> Parser [ProtectiveEquipmentType] #
FromJSONKey ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods fromJSONKey :: FromJSONKeyFunction ProtectiveEquipmentType # fromJSONKeyList :: FromJSONKeyFunction [ProtectiveEquipmentType] #
ToJSON ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toJSON :: ProtectiveEquipmentType -> Value # toEncoding :: ProtectiveEquipmentType -> Encoding # toJSONList :: [ProtectiveEquipmentType] -> Value # toEncodingList :: [ProtectiveEquipmentType] -> Encoding #
ToJSONKey ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toJSONKey :: ToJSONKeyFunction ProtectiveEquipmentType # toJSONKeyList :: ToJSONKeyFunction [ProtectiveEquipmentType] #
ToByteString ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toBS :: ProtectiveEquipmentType -> ByteString #
ToHeader ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toHeader :: HeaderName -> ProtectiveEquipmentType -> [Header] #
ToLog ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods build :: ProtectiveEquipmentType -> ByteStringBuilder #
ToQuery ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toQuery :: ProtectiveEquipmentType -> QueryString #
FromText ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods fromText :: Text -> Either String ProtectiveEquipmentType #
ToText ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toText :: ProtectiveEquipmentType -> Text #
FromXML ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods parseXML :: [Node] -> Either String ProtectiveEquipmentType #
ToXML ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toXML :: ProtectiveEquipmentType -> XML #
Generic ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Associated Types type Rep ProtectiveEquipmentType :: Type -> Type # Methods from :: ProtectiveEquipmentType -> Rep ProtectiveEquipmentType x # to :: Rep ProtectiveEquipmentType x -> ProtectiveEquipmentType #
Read ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods readsPrec :: Int -> ReadS ProtectiveEquipmentType # readList :: ReadS [ProtectiveEquipmentType] # readPrec :: ReadPrec ProtectiveEquipmentType # readListPrec :: ReadPrec [ProtectiveEquipmentType] #
Show ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods showsPrec :: Int -> ProtectiveEquipmentType -> ShowS # show :: ProtectiveEquipmentType -> String # showList :: [ProtectiveEquipmentType] -> ShowS #
NFData ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods rnf :: ProtectiveEquipmentType -> () #
Eq ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods (==) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (/=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool #
Ord ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods compare :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Ordering # (<) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (<=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (>) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (>=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # max :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> ProtectiveEquipmentType # min :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> ProtectiveEquipmentType #
Hashable ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods hashWithSalt :: Int -> ProtectiveEquipmentType -> Int # hash :: ProtectiveEquipmentType -> Int #
type Rep ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType type Rep ProtectiveEquipmentType = D1 ('MetaData "ProtectiveEquipmentType" "Amazonka.Rekognition.Types.ProtectiveEquipmentType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProtectiveEquipmentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProtectiveEquipmentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

QualityFilter

newtype QualityFilter Source #

Constructors

QualityFilter'
Fields fromQualityFilter :: Text

Bundled Patterns

pattern QualityFilter_AUTO :: QualityFilter
pattern QualityFilter_HIGH :: QualityFilter
pattern QualityFilter_LOW :: QualityFilter
pattern QualityFilter_MEDIUM :: QualityFilter
pattern QualityFilter_NONE :: QualityFilter

Instances

Instances details

FromJSON QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods parseJSON :: Value -> Parser QualityFilter # parseJSONList :: Value -> Parser [QualityFilter] #
FromJSONKey QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods fromJSONKey :: FromJSONKeyFunction QualityFilter # fromJSONKeyList :: FromJSONKeyFunction [QualityFilter] #
ToJSON QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toJSON :: QualityFilter -> Value # toEncoding :: QualityFilter -> Encoding # toJSONList :: [QualityFilter] -> Value # toEncodingList :: [QualityFilter] -> Encoding #
ToJSONKey QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toJSONKey :: ToJSONKeyFunction QualityFilter # toJSONKeyList :: ToJSONKeyFunction [QualityFilter] #
ToByteString QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toBS :: QualityFilter -> ByteString #
ToHeader QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toHeader :: HeaderName -> QualityFilter -> [Header] #
ToLog QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods build :: QualityFilter -> ByteStringBuilder #
ToQuery QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toQuery :: QualityFilter -> QueryString #
FromText QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods fromText :: Text -> Either String QualityFilter #
ToText QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toText :: QualityFilter -> Text #
FromXML QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods parseXML :: [Node] -> Either String QualityFilter #
ToXML QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toXML :: QualityFilter -> XML #
Generic QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Associated Types type Rep QualityFilter :: Type -> Type # Methods from :: QualityFilter -> Rep QualityFilter x # to :: Rep QualityFilter x -> QualityFilter #
Read QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods readsPrec :: Int -> ReadS QualityFilter # readList :: ReadS [QualityFilter] # readPrec :: ReadPrec QualityFilter # readListPrec :: ReadPrec [QualityFilter] #
Show QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods showsPrec :: Int -> QualityFilter -> ShowS # show :: QualityFilter -> String # showList :: [QualityFilter] -> ShowS #
NFData QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods rnf :: QualityFilter -> () #
Eq QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods (==) :: QualityFilter -> QualityFilter -> Bool # (/=) :: QualityFilter -> QualityFilter -> Bool #
Ord QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods compare :: QualityFilter -> QualityFilter -> Ordering # (<) :: QualityFilter -> QualityFilter -> Bool # (<=) :: QualityFilter -> QualityFilter -> Bool # (>) :: QualityFilter -> QualityFilter -> Bool # (>=) :: QualityFilter -> QualityFilter -> Bool # max :: QualityFilter -> QualityFilter -> QualityFilter # min :: QualityFilter -> QualityFilter -> QualityFilter #
Hashable QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods hashWithSalt :: Int -> QualityFilter -> Int # hash :: QualityFilter -> Int #
type Rep QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter type Rep QualityFilter = D1 ('MetaData "QualityFilter" "Amazonka.Rekognition.Types.QualityFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "QualityFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromQualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Reason

newtype Reason Source #

Constructors

Reason'
Fields fromReason :: Text

Bundled Patterns

pattern Reason_EXCEEDS_MAX_FACES :: Reason
pattern Reason_EXTREME_POSE :: Reason
pattern Reason_LOW_BRIGHTNESS :: Reason
pattern Reason_LOW_CONFIDENCE :: Reason
pattern Reason_LOW_FACE_QUALITY :: Reason
pattern Reason_LOW_SHARPNESS :: Reason
pattern Reason_SMALL_BOUNDING_BOX :: Reason

Instances

Instances details

FromJSON Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods parseJSON :: Value -> Parser Reason # parseJSONList :: Value -> Parser [Reason] #
FromJSONKey Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods fromJSONKey :: FromJSONKeyFunction Reason # fromJSONKeyList :: FromJSONKeyFunction [Reason] #
ToJSON Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toJSON :: Reason -> Value # toEncoding :: Reason -> Encoding # toJSONList :: [Reason] -> Value # toEncodingList :: [Reason] -> Encoding #
ToJSONKey Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toJSONKey :: ToJSONKeyFunction Reason # toJSONKeyList :: ToJSONKeyFunction [Reason] #
ToByteString Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toBS :: Reason -> ByteString #
ToHeader Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toHeader :: HeaderName -> Reason -> [Header] #
ToLog Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods build :: Reason -> ByteStringBuilder #
ToQuery Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toQuery :: Reason -> QueryString #
FromText Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods fromText :: Text -> Either String Reason #
ToText Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toText :: Reason -> Text #
FromXML Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods parseXML :: [Node] -> Either String Reason #
ToXML Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toXML :: Reason -> XML #
Generic Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Associated Types type Rep Reason :: Type -> Type # Methods from :: Reason -> Rep Reason x # to :: Rep Reason x -> Reason #
Read Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods readsPrec :: Int -> ReadS Reason # readList :: ReadS [Reason] # readPrec :: ReadPrec Reason # readListPrec :: ReadPrec [Reason] #
Show Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods showsPrec :: Int -> Reason -> ShowS # show :: Reason -> String # showList :: [Reason] -> ShowS #
NFData Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods rnf :: Reason -> () #
Eq Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods (==) :: Reason -> Reason -> Bool # (/=) :: Reason -> Reason -> Bool #
Ord Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods compare :: Reason -> Reason -> Ordering # (<) :: Reason -> Reason -> Bool # (<=) :: Reason -> Reason -> Bool # (>) :: Reason -> Reason -> Bool # (>=) :: Reason -> Reason -> Bool # max :: Reason -> Reason -> Reason # min :: Reason -> Reason -> Reason #
Hashable Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods hashWithSalt :: Int -> Reason -> Int # hash :: Reason -> Int #
type Rep Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason type Rep Reason = D1 ('MetaData "Reason" "Amazonka.Rekognition.Types.Reason" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "Reason'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SegmentType

newtype SegmentType Source #

Constructors

SegmentType'
Fields fromSegmentType :: Text

Bundled Patterns

pattern SegmentType_SHOT :: SegmentType
pattern SegmentType_TECHNICAL_CUE :: SegmentType

Instances

Instances details

FromJSON SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods parseJSON :: Value -> Parser SegmentType # parseJSONList :: Value -> Parser [SegmentType] #
FromJSONKey SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods fromJSONKey :: FromJSONKeyFunction SegmentType # fromJSONKeyList :: FromJSONKeyFunction [SegmentType] #
ToJSON SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toJSON :: SegmentType -> Value # toEncoding :: SegmentType -> Encoding # toJSONList :: [SegmentType] -> Value # toEncodingList :: [SegmentType] -> Encoding #
ToJSONKey SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toJSONKey :: ToJSONKeyFunction SegmentType # toJSONKeyList :: ToJSONKeyFunction [SegmentType] #
ToByteString SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toBS :: SegmentType -> ByteString #
ToHeader SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toHeader :: HeaderName -> SegmentType -> [Header] #
ToLog SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods build :: SegmentType -> ByteStringBuilder #
ToQuery SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toQuery :: SegmentType -> QueryString #
FromText SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods fromText :: Text -> Either String SegmentType #
ToText SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toText :: SegmentType -> Text #
FromXML SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods parseXML :: [Node] -> Either String SegmentType #
ToXML SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toXML :: SegmentType -> XML #
Generic SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Associated Types type Rep SegmentType :: Type -> Type # Methods from :: SegmentType -> Rep SegmentType x # to :: Rep SegmentType x -> SegmentType #
Read SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods readsPrec :: Int -> ReadS SegmentType # readList :: ReadS [SegmentType] # readPrec :: ReadPrec SegmentType # readListPrec :: ReadPrec [SegmentType] #
Show SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods showsPrec :: Int -> SegmentType -> ShowS # show :: SegmentType -> String # showList :: [SegmentType] -> ShowS #
NFData SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods rnf :: SegmentType -> () #
Eq SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods (==) :: SegmentType -> SegmentType -> Bool # (/=) :: SegmentType -> SegmentType -> Bool #
Ord SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods compare :: SegmentType -> SegmentType -> Ordering # (<) :: SegmentType -> SegmentType -> Bool # (<=) :: SegmentType -> SegmentType -> Bool # (>) :: SegmentType -> SegmentType -> Bool # (>=) :: SegmentType -> SegmentType -> Bool # max :: SegmentType -> SegmentType -> SegmentType # min :: SegmentType -> SegmentType -> SegmentType #
Hashable SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods hashWithSalt :: Int -> SegmentType -> Int # hash :: SegmentType -> Int #
type Rep SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType type Rep SegmentType = D1 ('MetaData "SegmentType" "Amazonka.Rekognition.Types.SegmentType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "SegmentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSegmentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StreamProcessorParameterToDelete

newtype StreamProcessorParameterToDelete Source #

Constructors

StreamProcessorParameterToDelete'
Fields fromStreamProcessorParameterToDelete :: Text

Bundled Patterns

pattern StreamProcessorParameterToDelete_ConnectedHomeMinConfidence :: StreamProcessorParameterToDelete
pattern StreamProcessorParameterToDelete_RegionsOfInterest :: StreamProcessorParameterToDelete

Instances

Instances details

FromJSON StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods parseJSON :: Value -> Parser StreamProcessorParameterToDelete # parseJSONList :: Value -> Parser [StreamProcessorParameterToDelete] #
FromJSONKey StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods fromJSONKey :: FromJSONKeyFunction StreamProcessorParameterToDelete # fromJSONKeyList :: FromJSONKeyFunction [StreamProcessorParameterToDelete] #
ToJSON StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toJSON :: StreamProcessorParameterToDelete -> Value # toEncoding :: StreamProcessorParameterToDelete -> Encoding # toJSONList :: [StreamProcessorParameterToDelete] -> Value # toEncodingList :: [StreamProcessorParameterToDelete] -> Encoding #
ToJSONKey StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toJSONKey :: ToJSONKeyFunction StreamProcessorParameterToDelete # toJSONKeyList :: ToJSONKeyFunction [StreamProcessorParameterToDelete] #
ToByteString StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toBS :: StreamProcessorParameterToDelete -> ByteString #
ToHeader StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toHeader :: HeaderName -> StreamProcessorParameterToDelete -> [Header] #
ToLog StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods build :: StreamProcessorParameterToDelete -> ByteStringBuilder #
ToQuery StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toQuery :: StreamProcessorParameterToDelete -> QueryString #
FromText StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods fromText :: Text -> Either String StreamProcessorParameterToDelete #
ToText StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toText :: StreamProcessorParameterToDelete -> Text #
FromXML StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods parseXML :: [Node] -> Either String StreamProcessorParameterToDelete #
ToXML StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toXML :: StreamProcessorParameterToDelete -> XML #
Generic StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Associated Types type Rep StreamProcessorParameterToDelete :: Type -> Type # Methods from :: StreamProcessorParameterToDelete -> Rep StreamProcessorParameterToDelete x # to :: Rep StreamProcessorParameterToDelete x -> StreamProcessorParameterToDelete #
Read StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods readsPrec :: Int -> ReadS StreamProcessorParameterToDelete # readList :: ReadS [StreamProcessorParameterToDelete] # readPrec :: ReadPrec StreamProcessorParameterToDelete # readListPrec :: ReadPrec [StreamProcessorParameterToDelete] #
Show StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods showsPrec :: Int -> StreamProcessorParameterToDelete -> ShowS # show :: StreamProcessorParameterToDelete -> String # showList :: [StreamProcessorParameterToDelete] -> ShowS #
NFData StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods rnf :: StreamProcessorParameterToDelete -> () #
Eq StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods (==) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (/=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool #
Ord StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods compare :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Ordering # (<) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (<=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (>) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (>=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # max :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete # min :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete #
Hashable StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods hashWithSalt :: Int -> StreamProcessorParameterToDelete -> Int # hash :: StreamProcessorParameterToDelete -> Int #
type Rep StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete type Rep StreamProcessorParameterToDelete = D1 ('MetaData "StreamProcessorParameterToDelete" "Amazonka.Rekognition.Types.StreamProcessorParameterToDelete" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "StreamProcessorParameterToDelete'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStreamProcessorParameterToDelete") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StreamProcessorStatus

newtype StreamProcessorStatus Source #

Constructors

StreamProcessorStatus'
Fields fromStreamProcessorStatus :: Text

Bundled Patterns

pattern StreamProcessorStatus_FAILED :: StreamProcessorStatus
pattern StreamProcessorStatus_RUNNING :: StreamProcessorStatus
pattern StreamProcessorStatus_STARTING :: StreamProcessorStatus
pattern StreamProcessorStatus_STOPPED :: StreamProcessorStatus
pattern StreamProcessorStatus_STOPPING :: StreamProcessorStatus
pattern StreamProcessorStatus_UPDATING :: StreamProcessorStatus

Instances

Instances details

FromJSON StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods parseJSON :: Value -> Parser StreamProcessorStatus # parseJSONList :: Value -> Parser [StreamProcessorStatus] #
FromJSONKey StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods fromJSONKey :: FromJSONKeyFunction StreamProcessorStatus # fromJSONKeyList :: FromJSONKeyFunction [StreamProcessorStatus] #
ToJSON StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toJSON :: StreamProcessorStatus -> Value # toEncoding :: StreamProcessorStatus -> Encoding # toJSONList :: [StreamProcessorStatus] -> Value # toEncodingList :: [StreamProcessorStatus] -> Encoding #
ToJSONKey StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toJSONKey :: ToJSONKeyFunction StreamProcessorStatus # toJSONKeyList :: ToJSONKeyFunction [StreamProcessorStatus] #
ToByteString StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toBS :: StreamProcessorStatus -> ByteString #
ToHeader StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toHeader :: HeaderName -> StreamProcessorStatus -> [Header] #
ToLog StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods build :: StreamProcessorStatus -> ByteStringBuilder #
ToQuery StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toQuery :: StreamProcessorStatus -> QueryString #
FromText StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods fromText :: Text -> Either String StreamProcessorStatus #
ToText StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toText :: StreamProcessorStatus -> Text #
FromXML StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods parseXML :: [Node] -> Either String StreamProcessorStatus #
ToXML StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toXML :: StreamProcessorStatus -> XML #
Generic StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Associated Types type Rep StreamProcessorStatus :: Type -> Type # Methods from :: StreamProcessorStatus -> Rep StreamProcessorStatus x # to :: Rep StreamProcessorStatus x -> StreamProcessorStatus #
Read StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods readsPrec :: Int -> ReadS StreamProcessorStatus # readList :: ReadS [StreamProcessorStatus] # readPrec :: ReadPrec StreamProcessorStatus # readListPrec :: ReadPrec [StreamProcessorStatus] #
Show StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods showsPrec :: Int -> StreamProcessorStatus -> ShowS # show :: StreamProcessorStatus -> String # showList :: [StreamProcessorStatus] -> ShowS #
NFData StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods rnf :: StreamProcessorStatus -> () #
Eq StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods (==) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (/=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool #
Ord StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods compare :: StreamProcessorStatus -> StreamProcessorStatus -> Ordering # (<) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (<=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (>) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (>=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # max :: StreamProcessorStatus -> StreamProcessorStatus -> StreamProcessorStatus # min :: StreamProcessorStatus -> StreamProcessorStatus -> StreamProcessorStatus #
Hashable StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods hashWithSalt :: Int -> StreamProcessorStatus -> Int # hash :: StreamProcessorStatus -> Int #
type Rep StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus type Rep StreamProcessorStatus = D1 ('MetaData "StreamProcessorStatus" "Amazonka.Rekognition.Types.StreamProcessorStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "StreamProcessorStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStreamProcessorStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TechnicalCueType

newtype TechnicalCueType Source #

Constructors

TechnicalCueType'
Fields fromTechnicalCueType :: Text

Bundled Patterns

pattern TechnicalCueType_BlackFrames :: TechnicalCueType
pattern TechnicalCueType_ColorBars :: TechnicalCueType
pattern TechnicalCueType_Content :: TechnicalCueType
pattern TechnicalCueType_EndCredits :: TechnicalCueType
pattern TechnicalCueType_OpeningCredits :: TechnicalCueType
pattern TechnicalCueType_Slate :: TechnicalCueType
pattern TechnicalCueType_StudioLogo :: TechnicalCueType

Instances

Instances details

FromJSON TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods parseJSON :: Value -> Parser TechnicalCueType # parseJSONList :: Value -> Parser [TechnicalCueType] #
FromJSONKey TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods fromJSONKey :: FromJSONKeyFunction TechnicalCueType # fromJSONKeyList :: FromJSONKeyFunction [TechnicalCueType] #
ToJSON TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toJSON :: TechnicalCueType -> Value # toEncoding :: TechnicalCueType -> Encoding # toJSONList :: [TechnicalCueType] -> Value # toEncodingList :: [TechnicalCueType] -> Encoding #
ToJSONKey TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toJSONKey :: ToJSONKeyFunction TechnicalCueType # toJSONKeyList :: ToJSONKeyFunction [TechnicalCueType] #
ToByteString TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toBS :: TechnicalCueType -> ByteString #
ToHeader TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toHeader :: HeaderName -> TechnicalCueType -> [Header] #
ToLog TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods build :: TechnicalCueType -> ByteStringBuilder #
ToQuery TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toQuery :: TechnicalCueType -> QueryString #
FromText TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods fromText :: Text -> Either String TechnicalCueType #
ToText TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toText :: TechnicalCueType -> Text #
FromXML TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods parseXML :: [Node] -> Either String TechnicalCueType #
ToXML TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toXML :: TechnicalCueType -> XML #
Generic TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Associated Types type Rep TechnicalCueType :: Type -> Type # Methods from :: TechnicalCueType -> Rep TechnicalCueType x # to :: Rep TechnicalCueType x -> TechnicalCueType #
Read TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods readsPrec :: Int -> ReadS TechnicalCueType # readList :: ReadS [TechnicalCueType] # readPrec :: ReadPrec TechnicalCueType # readListPrec :: ReadPrec [TechnicalCueType] #
Show TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods showsPrec :: Int -> TechnicalCueType -> ShowS # show :: TechnicalCueType -> String # showList :: [TechnicalCueType] -> ShowS #
NFData TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods rnf :: TechnicalCueType -> () #
Eq TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods (==) :: TechnicalCueType -> TechnicalCueType -> Bool # (/=) :: TechnicalCueType -> TechnicalCueType -> Bool #
Ord TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods compare :: TechnicalCueType -> TechnicalCueType -> Ordering # (<) :: TechnicalCueType -> TechnicalCueType -> Bool # (<=) :: TechnicalCueType -> TechnicalCueType -> Bool # (>) :: TechnicalCueType -> TechnicalCueType -> Bool # (>=) :: TechnicalCueType -> TechnicalCueType -> Bool # max :: TechnicalCueType -> TechnicalCueType -> TechnicalCueType # min :: TechnicalCueType -> TechnicalCueType -> TechnicalCueType #
Hashable TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods hashWithSalt :: Int -> TechnicalCueType -> Int # hash :: TechnicalCueType -> Int #
type Rep TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType type Rep TechnicalCueType = D1 ('MetaData "TechnicalCueType" "Amazonka.Rekognition.Types.TechnicalCueType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "TechnicalCueType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTechnicalCueType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TextTypes

newtype TextTypes Source #

Constructors

TextTypes'
Fields fromTextTypes :: Text

Bundled Patterns

pattern TextTypes_LINE :: TextTypes
pattern TextTypes_WORD :: TextTypes

Instances

Instances details

FromJSON TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods parseJSON :: Value -> Parser TextTypes # parseJSONList :: Value -> Parser [TextTypes] #
FromJSONKey TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods fromJSONKey :: FromJSONKeyFunction TextTypes # fromJSONKeyList :: FromJSONKeyFunction [TextTypes] #
ToJSON TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toJSON :: TextTypes -> Value # toEncoding :: TextTypes -> Encoding # toJSONList :: [TextTypes] -> Value # toEncodingList :: [TextTypes] -> Encoding #
ToJSONKey TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toJSONKey :: ToJSONKeyFunction TextTypes # toJSONKeyList :: ToJSONKeyFunction [TextTypes] #
ToByteString TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toBS :: TextTypes -> ByteString #
ToHeader TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toHeader :: HeaderName -> TextTypes -> [Header] #
ToLog TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods build :: TextTypes -> ByteStringBuilder #
ToQuery TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toQuery :: TextTypes -> QueryString #
FromText TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods fromText :: Text -> Either String TextTypes #
ToText TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toText :: TextTypes -> Text #
FromXML TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods parseXML :: [Node] -> Either String TextTypes #
ToXML TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toXML :: TextTypes -> XML #
Generic TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Associated Types type Rep TextTypes :: Type -> Type # Methods from :: TextTypes -> Rep TextTypes x # to :: Rep TextTypes x -> TextTypes #
Read TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods readsPrec :: Int -> ReadS TextTypes # readList :: ReadS [TextTypes] # readPrec :: ReadPrec TextTypes # readListPrec :: ReadPrec [TextTypes] #
Show TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods showsPrec :: Int -> TextTypes -> ShowS # show :: TextTypes -> String # showList :: [TextTypes] -> ShowS #
NFData TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods rnf :: TextTypes -> () #
Eq TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods (==) :: TextTypes -> TextTypes -> Bool # (/=) :: TextTypes -> TextTypes -> Bool #
Ord TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods compare :: TextTypes -> TextTypes -> Ordering # (<) :: TextTypes -> TextTypes -> Bool # (<=) :: TextTypes -> TextTypes -> Bool # (>) :: TextTypes -> TextTypes -> Bool # (>=) :: TextTypes -> TextTypes -> Bool # max :: TextTypes -> TextTypes -> TextTypes # min :: TextTypes -> TextTypes -> TextTypes #
Hashable TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods hashWithSalt :: Int -> TextTypes -> Int # hash :: TextTypes -> Int #
type Rep TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes type Rep TextTypes = D1 ('MetaData "TextTypes" "Amazonka.Rekognition.Types.TextTypes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "TextTypes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTextTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VideoColorRange

newtype VideoColorRange Source #

Constructors

VideoColorRange'
Fields fromVideoColorRange :: Text

Bundled Patterns

pattern VideoColorRange_FULL :: VideoColorRange
pattern VideoColorRange_LIMITED :: VideoColorRange

Instances

Instances details

FromJSON VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods parseJSON :: Value -> Parser VideoColorRange # parseJSONList :: Value -> Parser [VideoColorRange] #
FromJSONKey VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods fromJSONKey :: FromJSONKeyFunction VideoColorRange # fromJSONKeyList :: FromJSONKeyFunction [VideoColorRange] #
ToJSON VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toJSON :: VideoColorRange -> Value # toEncoding :: VideoColorRange -> Encoding # toJSONList :: [VideoColorRange] -> Value # toEncodingList :: [VideoColorRange] -> Encoding #
ToJSONKey VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toJSONKey :: ToJSONKeyFunction VideoColorRange # toJSONKeyList :: ToJSONKeyFunction [VideoColorRange] #
ToByteString VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toBS :: VideoColorRange -> ByteString #
ToHeader VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toHeader :: HeaderName -> VideoColorRange -> [Header] #
ToLog VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods build :: VideoColorRange -> ByteStringBuilder #
ToQuery VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toQuery :: VideoColorRange -> QueryString #
FromText VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods fromText :: Text -> Either String VideoColorRange #
ToText VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toText :: VideoColorRange -> Text #
FromXML VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods parseXML :: [Node] -> Either String VideoColorRange #
ToXML VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toXML :: VideoColorRange -> XML #
Generic VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Associated Types type Rep VideoColorRange :: Type -> Type # Methods from :: VideoColorRange -> Rep VideoColorRange x # to :: Rep VideoColorRange x -> VideoColorRange #
Read VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods readsPrec :: Int -> ReadS VideoColorRange # readList :: ReadS [VideoColorRange] # readPrec :: ReadPrec VideoColorRange # readListPrec :: ReadPrec [VideoColorRange] #
Show VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods showsPrec :: Int -> VideoColorRange -> ShowS # show :: VideoColorRange -> String # showList :: [VideoColorRange] -> ShowS #
NFData VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods rnf :: VideoColorRange -> () #
Eq VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods (==) :: VideoColorRange -> VideoColorRange -> Bool # (/=) :: VideoColorRange -> VideoColorRange -> Bool #
Ord VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods compare :: VideoColorRange -> VideoColorRange -> Ordering # (<) :: VideoColorRange -> VideoColorRange -> Bool # (<=) :: VideoColorRange -> VideoColorRange -> Bool # (>) :: VideoColorRange -> VideoColorRange -> Bool # (>=) :: VideoColorRange -> VideoColorRange -> Bool # max :: VideoColorRange -> VideoColorRange -> VideoColorRange # min :: VideoColorRange -> VideoColorRange -> VideoColorRange #
Hashable VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods hashWithSalt :: Int -> VideoColorRange -> Int # hash :: VideoColorRange -> Int #
type Rep VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange type Rep VideoColorRange = D1 ('MetaData "VideoColorRange" "Amazonka.Rekognition.Types.VideoColorRange" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "VideoColorRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVideoColorRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VideoJobStatus

newtype VideoJobStatus Source #

Constructors

VideoJobStatus'
Fields fromVideoJobStatus :: Text

Bundled Patterns

pattern VideoJobStatus_FAILED :: VideoJobStatus
pattern VideoJobStatus_IN_PROGRESS :: VideoJobStatus
pattern VideoJobStatus_SUCCEEDED :: VideoJobStatus

Instances

Instances details

FromJSON VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods parseJSON :: Value -> Parser VideoJobStatus # parseJSONList :: Value -> Parser [VideoJobStatus] #
FromJSONKey VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods fromJSONKey :: FromJSONKeyFunction VideoJobStatus # fromJSONKeyList :: FromJSONKeyFunction [VideoJobStatus] #
ToJSON VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toJSON :: VideoJobStatus -> Value # toEncoding :: VideoJobStatus -> Encoding # toJSONList :: [VideoJobStatus] -> Value # toEncodingList :: [VideoJobStatus] -> Encoding #
ToJSONKey VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toJSONKey :: ToJSONKeyFunction VideoJobStatus # toJSONKeyList :: ToJSONKeyFunction [VideoJobStatus] #
ToByteString VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toBS :: VideoJobStatus -> ByteString #
ToHeader VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toHeader :: HeaderName -> VideoJobStatus -> [Header] #
ToLog VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods build :: VideoJobStatus -> ByteStringBuilder #
ToQuery VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toQuery :: VideoJobStatus -> QueryString #
FromText VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods fromText :: Text -> Either String VideoJobStatus #
ToText VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toText :: VideoJobStatus -> Text #
FromXML VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods parseXML :: [Node] -> Either String VideoJobStatus #
ToXML VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toXML :: VideoJobStatus -> XML #
Generic VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Associated Types type Rep VideoJobStatus :: Type -> Type # Methods from :: VideoJobStatus -> Rep VideoJobStatus x # to :: Rep VideoJobStatus x -> VideoJobStatus #
Read VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods readsPrec :: Int -> ReadS VideoJobStatus # readList :: ReadS [VideoJobStatus] # readPrec :: ReadPrec VideoJobStatus # readListPrec :: ReadPrec [VideoJobStatus] #
Show VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods showsPrec :: Int -> VideoJobStatus -> ShowS # show :: VideoJobStatus -> String # showList :: [VideoJobStatus] -> ShowS #
NFData VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods rnf :: VideoJobStatus -> () #
Eq VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods (==) :: VideoJobStatus -> VideoJobStatus -> Bool # (/=) :: VideoJobStatus -> VideoJobStatus -> Bool #
Ord VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods compare :: VideoJobStatus -> VideoJobStatus -> Ordering # (<) :: VideoJobStatus -> VideoJobStatus -> Bool # (<=) :: VideoJobStatus -> VideoJobStatus -> Bool # (>) :: VideoJobStatus -> VideoJobStatus -> Bool # (>=) :: VideoJobStatus -> VideoJobStatus -> Bool # max :: VideoJobStatus -> VideoJobStatus -> VideoJobStatus # min :: VideoJobStatus -> VideoJobStatus -> VideoJobStatus #
Hashable VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods hashWithSalt :: Int -> VideoJobStatus -> Int # hash :: VideoJobStatus -> Int #
type Rep VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus type Rep VideoJobStatus = D1 ('MetaData "VideoJobStatus" "Amazonka.Rekognition.Types.VideoJobStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "VideoJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVideoJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AgeRange

data AgeRange Source #

Structure containing the estimated age range, in years, for a face.

Amazon Rekognition estimates an age range for faces detected in the input image. Estimated age ranges can overlap. A face of a 5-year-old might have an estimated range of 4-6, while the face of a 6-year-old might have an estimated range of 4-8.

See: newAgeRange smart constructor.

Constructors

AgeRange' (Maybe Natural) (Maybe Natural)

Instances

Instances details

FromJSON AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods parseJSON :: Value -> Parser AgeRange # parseJSONList :: Value -> Parser [AgeRange] #
Generic AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Associated Types type Rep AgeRange :: Type -> Type # Methods from :: AgeRange -> Rep AgeRange x # to :: Rep AgeRange x -> AgeRange #
Read AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods readsPrec :: Int -> ReadS AgeRange # readList :: ReadS [AgeRange] # readPrec :: ReadPrec AgeRange # readListPrec :: ReadPrec [AgeRange] #
Show AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods showsPrec :: Int -> AgeRange -> ShowS # show :: AgeRange -> String # showList :: [AgeRange] -> ShowS #
NFData AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods rnf :: AgeRange -> () #
Eq AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods (==) :: AgeRange -> AgeRange -> Bool # (/=) :: AgeRange -> AgeRange -> Bool #
Hashable AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods hashWithSalt :: Int -> AgeRange -> Int # hash :: AgeRange -> Int #
type Rep AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange type Rep AgeRange = D1 ('MetaData "AgeRange" "Amazonka.Rekognition.Types.AgeRange" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "AgeRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "high") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "low") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newAgeRange :: AgeRange Source #

Create a value of AgeRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:high:AgeRange', ageRange_high - The highest estimated age.

$sel:low:AgeRange', ageRange_low - The lowest estimated age.

Asset

data Asset Source #

Assets are the images that you use to train and evaluate a model version. Assets can also contain validation information that you use to debug a failed model training.

See: newAsset smart constructor.

Constructors

Asset' (Maybe GroundTruthManifest)

Instances

Instances details

FromJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods parseJSON :: Value -> Parser Asset # parseJSONList :: Value -> Parser [Asset] #
ToJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods toJSON :: Asset -> Value # toEncoding :: Asset -> Encoding # toJSONList :: [Asset] -> Value # toEncodingList :: [Asset] -> Encoding #
Generic Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Associated Types type Rep Asset :: Type -> Type # Methods from :: Asset -> Rep Asset x # to :: Rep Asset x -> Asset #
Read Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods readsPrec :: Int -> ReadS Asset # readList :: ReadS [Asset] # readPrec :: ReadPrec Asset # readListPrec :: ReadPrec [Asset] #
Show Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods showsPrec :: Int -> Asset -> ShowS # show :: Asset -> String # showList :: [Asset] -> ShowS #
NFData Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods rnf :: Asset -> () #
Eq Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods (==) :: Asset -> Asset -> Bool # (/=) :: Asset -> Asset -> Bool #
Hashable Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods hashWithSalt :: Int -> Asset -> Int # hash :: Asset -> Int #
type Rep Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset type Rep Asset = D1 ('MetaData "Asset" "Amazonka.Rekognition.Types.Asset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Asset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruthManifest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest))))

newAsset :: Asset Source #

Create a value of Asset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groundTruthManifest:Asset', asset_groundTruthManifest - Undocumented member.

AudioMetadata

data AudioMetadata Source #

Metadata information about an audio stream. An array of AudioMetadata objects for the audio streams found in a stored video is returned by GetSegmentDetection.

See: newAudioMetadata smart constructor.

Constructors

AudioMetadata' (Maybe Text) (Maybe Natural) (Maybe Natural) (Maybe Natural)

Instances

Instances details

FromJSON AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods parseJSON :: Value -> Parser AudioMetadata # parseJSONList :: Value -> Parser [AudioMetadata] #
Generic AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Associated Types type Rep AudioMetadata :: Type -> Type # Methods from :: AudioMetadata -> Rep AudioMetadata x # to :: Rep AudioMetadata x -> AudioMetadata #
Read AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods readsPrec :: Int -> ReadS AudioMetadata # readList :: ReadS [AudioMetadata] # readPrec :: ReadPrec AudioMetadata # readListPrec :: ReadPrec [AudioMetadata] #
Show AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods showsPrec :: Int -> AudioMetadata -> ShowS # show :: AudioMetadata -> String # showList :: [AudioMetadata] -> ShowS #
NFData AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods rnf :: AudioMetadata -> () #
Eq AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods (==) :: AudioMetadata -> AudioMetadata -> Bool # (/=) :: AudioMetadata -> AudioMetadata -> Bool #
Hashable AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods hashWithSalt :: Int -> AudioMetadata -> Int # hash :: AudioMetadata -> Int #
type Rep AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata type Rep AudioMetadata = D1 ('MetaData "AudioMetadata" "Amazonka.Rekognition.Types.AudioMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "AudioMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "numberOfChannels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "sampleRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newAudioMetadata :: AudioMetadata Source #

Create a value of AudioMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:codec:AudioMetadata', audioMetadata_codec - The audio codec used to encode or decode the audio stream.

$sel:durationMillis:AudioMetadata', audioMetadata_durationMillis - The duration of the audio stream in milliseconds.

$sel:numberOfChannels:AudioMetadata', audioMetadata_numberOfChannels - The number of audio channels in the segment.

$sel:sampleRate:AudioMetadata', audioMetadata_sampleRate - The sample rate for the audio stream.

Beard

data Beard Source #

Indicates whether or not the face has a beard, and the confidence level in the determination.

See: newBeard smart constructor.

Constructors

Beard' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods parseJSON :: Value -> Parser Beard # parseJSONList :: Value -> Parser [Beard] #
Generic Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Associated Types type Rep Beard :: Type -> Type # Methods from :: Beard -> Rep Beard x # to :: Rep Beard x -> Beard #
Read Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods readsPrec :: Int -> ReadS Beard # readList :: ReadS [Beard] # readPrec :: ReadPrec Beard # readListPrec :: ReadPrec [Beard] #
Show Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods showsPrec :: Int -> Beard -> ShowS # show :: Beard -> String # showList :: [Beard] -> ShowS #
NFData Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods rnf :: Beard -> () #
Eq Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods (==) :: Beard -> Beard -> Bool # (/=) :: Beard -> Beard -> Bool #
Hashable Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods hashWithSalt :: Int -> Beard -> Int # hash :: Beard -> Int #
type Rep Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard type Rep Beard = D1 ('MetaData "Beard" "Amazonka.Rekognition.Types.Beard" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Beard'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newBeard :: Beard Source #

Create a value of Beard with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Beard', beard_confidence - Level of confidence in the determination.

$sel:value:Beard', beard_value - Boolean value that indicates whether the face has beard or not.

BlackFrame

data BlackFrame Source #

A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. As videos can come from multiple sources, formats, and time periods, they may contain different standards and varying noise levels for black frames that need to be accounted for. For more information, see StartSegmentDetection.

See: newBlackFrame smart constructor.

Constructors

BlackFrame' (Maybe Double) (Maybe Double)

Instances

Instances details

ToJSON BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods toJSON :: BlackFrame -> Value # toEncoding :: BlackFrame -> Encoding # toJSONList :: [BlackFrame] -> Value # toEncodingList :: [BlackFrame] -> Encoding #
Generic BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Associated Types type Rep BlackFrame :: Type -> Type # Methods from :: BlackFrame -> Rep BlackFrame x # to :: Rep BlackFrame x -> BlackFrame #
Read BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods readsPrec :: Int -> ReadS BlackFrame # readList :: ReadS [BlackFrame] # readPrec :: ReadPrec BlackFrame # readListPrec :: ReadPrec [BlackFrame] #
Show BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods showsPrec :: Int -> BlackFrame -> ShowS # show :: BlackFrame -> String # showList :: [BlackFrame] -> ShowS #
NFData BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods rnf :: BlackFrame -> () #
Eq BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods (==) :: BlackFrame -> BlackFrame -> Bool # (/=) :: BlackFrame -> BlackFrame -> Bool #
Hashable BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods hashWithSalt :: Int -> BlackFrame -> Int # hash :: BlackFrame -> Int #
type Rep BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame type Rep BlackFrame = D1 ('MetaData "BlackFrame" "Amazonka.Rekognition.Types.BlackFrame" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "BlackFrame'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxPixelThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "minCoveragePercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newBlackFrame :: BlackFrame Source #

Create a value of BlackFrame with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxPixelThreshold:BlackFrame', blackFrame_maxPixelThreshold - A threshold used to determine the maximum luminance value for a pixel to be considered black. In a full color range video, luminance values range from 0-255. A pixel value of 0 is pure black, and the most strict filter. The maximum black pixel value is computed as follows: max_black_pixel_value = minimum_luminance + MaxPixelThreshold *luminance_range.

For example, for a full range video with BlackPixelThreshold = 0.1, max_black_pixel_value is 0 + 0.1 * (255-0) = 25.5.

The default value of MaxPixelThreshold is 0.2, which maps to a max_black_pixel_value of 51 for a full range video. You can lower this threshold to be more strict on black levels.

$sel:minCoveragePercentage:BlackFrame', blackFrame_minCoveragePercentage - The minimum percentage of pixels in a frame that need to have a luminance below the max_black_pixel_value for a frame to be considered a black frame. Luminance is calculated using the BT.709 matrix.

The default value is 99, which means at least 99% of all pixels in the frame are black pixels as per the MaxPixelThreshold set. You can reduce this value to allow more noise on the black frame.

BoundingBox

data BoundingBox Source #

Identifies the bounding box around the label, face, text, object of interest, or personal protective equipment. The left (x-coordinate) and top (y-coordinate) are coordinates representing the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).

The top and left values returned are ratios of the overall image size. For example, if the input image is 700x200 pixels, and the top-left coordinate of the bounding box is 350x50 pixels, the API returns a left value of 0.5 (350/700) and a top value of 0.25 (50/200).

The width and height values represent the dimensions of the bounding box as a ratio of the overall image dimension. For example, if the input image is 700x200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.

The bounding box coordinates can have negative values. For example, if Amazon Rekognition is able to detect a face that is at the image edge and is only partially visible, the service can return coordinates that are outside the image bounds and, depending on the image edge, you might get negative values or values greater than 1 for the left or top values.

See: newBoundingBox smart constructor.

Constructors

BoundingBox' (Maybe Double) (Maybe Double) (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods parseJSON :: Value -> Parser BoundingBox # parseJSONList :: Value -> Parser [BoundingBox] #
ToJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods toJSON :: BoundingBox -> Value # toEncoding :: BoundingBox -> Encoding # toJSONList :: [BoundingBox] -> Value # toEncodingList :: [BoundingBox] -> Encoding #
Generic BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Associated Types type Rep BoundingBox :: Type -> Type # Methods from :: BoundingBox -> Rep BoundingBox x # to :: Rep BoundingBox x -> BoundingBox #
Read BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods readsPrec :: Int -> ReadS BoundingBox # readList :: ReadS [BoundingBox] # readPrec :: ReadPrec BoundingBox # readListPrec :: ReadPrec [BoundingBox] #
Show BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods showsPrec :: Int -> BoundingBox -> ShowS # show :: BoundingBox -> String # showList :: [BoundingBox] -> ShowS #
NFData BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods rnf :: BoundingBox -> () #
Eq BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods (==) :: BoundingBox -> BoundingBox -> Bool # (/=) :: BoundingBox -> BoundingBox -> Bool #
Hashable BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods hashWithSalt :: Int -> BoundingBox -> Int # hash :: BoundingBox -> Int #
type Rep BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox type Rep BoundingBox = D1 ('MetaData "BoundingBox" "Amazonka.Rekognition.Types.BoundingBox" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "BoundingBox'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "height") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "left") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "top") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "width") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newBoundingBox :: BoundingBox Source #

Create a value of BoundingBox with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:height:BoundingBox', boundingBox_height - Height of the bounding box as a ratio of the overall image height.

$sel:left:BoundingBox', boundingBox_left - Left coordinate of the bounding box as a ratio of overall image width.

$sel:top:BoundingBox', boundingBox_top - Top coordinate of the bounding box as a ratio of overall image height.

$sel:width:BoundingBox', boundingBox_width - Width of the bounding box as a ratio of the overall image width.

Celebrity

data Celebrity Source #

Provides information about a celebrity recognized by the RecognizeCelebrities operation.

See: newCelebrity smart constructor.

Constructors

Celebrity' (Maybe ComparedFace) (Maybe Text) (Maybe KnownGender) (Maybe Double) (Maybe Text) (Maybe [Text])

Instances

Instances details

FromJSON Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods parseJSON :: Value -> Parser Celebrity # parseJSONList :: Value -> Parser [Celebrity] #
Generic Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Associated Types type Rep Celebrity :: Type -> Type # Methods from :: Celebrity -> Rep Celebrity x # to :: Rep Celebrity x -> Celebrity #
Read Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods readsPrec :: Int -> ReadS Celebrity # readList :: ReadS [Celebrity] # readPrec :: ReadPrec Celebrity # readListPrec :: ReadPrec [Celebrity] #
Show Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods showsPrec :: Int -> Celebrity -> ShowS # show :: Celebrity -> String # showList :: [Celebrity] -> ShowS #
NFData Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods rnf :: Celebrity -> () #
Eq Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods (==) :: Celebrity -> Celebrity -> Bool # (/=) :: Celebrity -> Celebrity -> Bool #
Hashable Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods hashWithSalt :: Int -> Celebrity -> Int # hash :: Celebrity -> Int #
type Rep Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity type Rep Celebrity = D1 ('MetaData "Celebrity" "Amazonka.Rekognition.Types.Celebrity" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Celebrity'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedFace)) :: (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "knownGender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KnownGender)))) :: (S1 ('MetaSel ('Just "matchConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "urls") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))))

newCelebrity :: Celebrity Source #

Create a value of Celebrity with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:face:Celebrity', celebrity_face - Provides information about the celebrity's face, such as its location on the image.

$sel:id:Celebrity', celebrity_id - A unique identifier for the celebrity.

$sel:knownGender:Celebrity', celebrity_knownGender - Undocumented member.

$sel:matchConfidence:Celebrity', celebrity_matchConfidence - The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.

$sel:name:Celebrity', celebrity_name - The name of the celebrity.

$sel:urls:Celebrity', celebrity_urls - An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.

CelebrityDetail

data CelebrityDetail Source #

Information about a recognized celebrity.

See: newCelebrityDetail smart constructor.

Constructors

CelebrityDetail' (Maybe BoundingBox) (Maybe Double) (Maybe FaceDetail) (Maybe Text) (Maybe KnownGender) (Maybe Text) (Maybe [Text])

Instances

Instances details

FromJSON CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods parseJSON :: Value -> Parser CelebrityDetail # parseJSONList :: Value -> Parser [CelebrityDetail] #
Generic CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Associated Types type Rep CelebrityDetail :: Type -> Type # Methods from :: CelebrityDetail -> Rep CelebrityDetail x # to :: Rep CelebrityDetail x -> CelebrityDetail #
Read CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods readsPrec :: Int -> ReadS CelebrityDetail # readList :: ReadS [CelebrityDetail] # readPrec :: ReadPrec CelebrityDetail # readListPrec :: ReadPrec [CelebrityDetail] #
Show CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods showsPrec :: Int -> CelebrityDetail -> ShowS # show :: CelebrityDetail -> String # showList :: [CelebrityDetail] -> ShowS #
NFData CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods rnf :: CelebrityDetail -> () #
Eq CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods (==) :: CelebrityDetail -> CelebrityDetail -> Bool # (/=) :: CelebrityDetail -> CelebrityDetail -> Bool #
Hashable CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods hashWithSalt :: Int -> CelebrityDetail -> Int # hash :: CelebrityDetail -> Int #
type Rep CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail type Rep CelebrityDetail = D1 ('MetaData "CelebrityDetail" "Amazonka.Rekognition.Types.CelebrityDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CelebrityDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)))) :: ((S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "knownGender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KnownGender))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "urls") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))))

newCelebrityDetail :: CelebrityDetail Source #

Create a value of CelebrityDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

CelebrityDetail, celebrityDetail_boundingBox - Bounding box around the body of a celebrity.

CelebrityDetail, celebrityDetail_confidence - The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.

$sel:face:CelebrityDetail', celebrityDetail_face - Face details for the recognized celebrity.

$sel:id:CelebrityDetail', celebrityDetail_id - The unique identifier for the celebrity.

$sel:knownGender:CelebrityDetail', celebrityDetail_knownGender - Retrieves the known gender for the celebrity.

$sel:name:CelebrityDetail', celebrityDetail_name - The name of the celebrity.

$sel:urls:CelebrityDetail', celebrityDetail_urls - An array of URLs pointing to additional celebrity information.

CelebrityRecognition

data CelebrityRecognition Source #

Information about a detected celebrity and the time the celebrity was detected in a stored video. For more information, see GetCelebrityRecognition in the Amazon Rekognition Developer Guide.

See: newCelebrityRecognition smart constructor.

Constructors

CelebrityRecognition' (Maybe CelebrityDetail) (Maybe Integer)

Instances

Instances details

FromJSON CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods parseJSON :: Value -> Parser CelebrityRecognition # parseJSONList :: Value -> Parser [CelebrityRecognition] #
Generic CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Associated Types type Rep CelebrityRecognition :: Type -> Type # Methods from :: CelebrityRecognition -> Rep CelebrityRecognition x # to :: Rep CelebrityRecognition x -> CelebrityRecognition #
Read CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods readsPrec :: Int -> ReadS CelebrityRecognition # readList :: ReadS [CelebrityRecognition] # readPrec :: ReadPrec CelebrityRecognition # readListPrec :: ReadPrec [CelebrityRecognition] #
Show CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods showsPrec :: Int -> CelebrityRecognition -> ShowS # show :: CelebrityRecognition -> String # showList :: [CelebrityRecognition] -> ShowS #
NFData CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods rnf :: CelebrityRecognition -> () #
Eq CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods (==) :: CelebrityRecognition -> CelebrityRecognition -> Bool # (/=) :: CelebrityRecognition -> CelebrityRecognition -> Bool #
Hashable CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods hashWithSalt :: Int -> CelebrityRecognition -> Int # hash :: CelebrityRecognition -> Int #
type Rep CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition type Rep CelebrityRecognition = D1 ('MetaData "CelebrityRecognition" "Amazonka.Rekognition.Types.CelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CelebrityRecognition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "celebrity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CelebrityDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newCelebrityRecognition :: CelebrityRecognition Source #

Create a value of CelebrityRecognition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:celebrity:CelebrityRecognition', celebrityRecognition_celebrity - Information about a recognized celebrity.

$sel:timestamp:CelebrityRecognition', celebrityRecognition_timestamp - The time, in milliseconds from the start of the video, that the celebrity was recognized. Note that Timestamp is not guaranteed to be accurate to the individual frame where the celebrity first appears.

CompareFacesMatch

data CompareFacesMatch Source #

Provides information about a face in a target image that matches the source image face analyzed by CompareFaces. The Face property contains the bounding box of the face in the target image. The Similarity property is the confidence that the source image face matches the face in the bounding box.

See: newCompareFacesMatch smart constructor.

Constructors

CompareFacesMatch' (Maybe ComparedFace) (Maybe Double)

Instances

Instances details

FromJSON CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods parseJSON :: Value -> Parser CompareFacesMatch # parseJSONList :: Value -> Parser [CompareFacesMatch] #
Generic CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Associated Types type Rep CompareFacesMatch :: Type -> Type # Methods from :: CompareFacesMatch -> Rep CompareFacesMatch x # to :: Rep CompareFacesMatch x -> CompareFacesMatch #
Read CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods readsPrec :: Int -> ReadS CompareFacesMatch # readList :: ReadS [CompareFacesMatch] # readPrec :: ReadPrec CompareFacesMatch # readListPrec :: ReadPrec [CompareFacesMatch] #
Show CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods showsPrec :: Int -> CompareFacesMatch -> ShowS # show :: CompareFacesMatch -> String # showList :: [CompareFacesMatch] -> ShowS #
NFData CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods rnf :: CompareFacesMatch -> () #
Eq CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods (==) :: CompareFacesMatch -> CompareFacesMatch -> Bool # (/=) :: CompareFacesMatch -> CompareFacesMatch -> Bool #
Hashable CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods hashWithSalt :: Int -> CompareFacesMatch -> Int # hash :: CompareFacesMatch -> Int #
type Rep CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch type Rep CompareFacesMatch = D1 ('MetaData "CompareFacesMatch" "Amazonka.Rekognition.Types.CompareFacesMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CompareFacesMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedFace)) :*: S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newCompareFacesMatch :: CompareFacesMatch Source #

Create a value of CompareFacesMatch with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:face:CompareFacesMatch', compareFacesMatch_face - Provides face metadata (bounding box and confidence that the bounding box actually contains a face).

$sel:similarity:CompareFacesMatch', compareFacesMatch_similarity - Level of confidence that the faces match.

ComparedFace

data ComparedFace Source #

Provides face metadata for target image faces that are analyzed by CompareFaces and RecognizeCelebrities.

See: newComparedFace smart constructor.

Constructors

ComparedFace' (Maybe BoundingBox) (Maybe Double) (Maybe [Emotion]) (Maybe [Landmark]) (Maybe Pose) (Maybe ImageQuality) (Maybe Smile)

Instances

Instances details

FromJSON ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods parseJSON :: Value -> Parser ComparedFace # parseJSONList :: Value -> Parser [ComparedFace] #
Generic ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Associated Types type Rep ComparedFace :: Type -> Type # Methods from :: ComparedFace -> Rep ComparedFace x # to :: Rep ComparedFace x -> ComparedFace #
Read ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods readsPrec :: Int -> ReadS ComparedFace # readList :: ReadS [ComparedFace] # readPrec :: ReadPrec ComparedFace # readListPrec :: ReadPrec [ComparedFace] #
Show ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods showsPrec :: Int -> ComparedFace -> ShowS # show :: ComparedFace -> String # showList :: [ComparedFace] -> ShowS #
NFData ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods rnf :: ComparedFace -> () #
Eq ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods (==) :: ComparedFace -> ComparedFace -> Bool # (/=) :: ComparedFace -> ComparedFace -> Bool #
Hashable ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods hashWithSalt :: Int -> ComparedFace -> Int # hash :: ComparedFace -> Int #
type Rep ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace type Rep ComparedFace = D1 ('MetaData "ComparedFace" "Amazonka.Rekognition.Types.ComparedFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ComparedFace'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion])))) :: ((S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark])) :: S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose))) :: (S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality)) :: S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile))))))

newComparedFace :: ComparedFace Source #

Create a value of ComparedFace with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:ComparedFace', comparedFace_boundingBox - Bounding box of the face.

ComparedFace, comparedFace_confidence - Level of confidence that what the bounding box contains is a face.

$sel:emotions:ComparedFace', comparedFace_emotions - The emotions that appear to be expressed on the face, and the confidence level in the determination. Valid values include "Happy", "Sad", "Angry", "Confused", "Disgusted", "Surprised", "Calm", "Unknown", and "Fear".

$sel:landmarks:ComparedFace', comparedFace_landmarks - An array of facial landmarks.

$sel:pose:ComparedFace', comparedFace_pose - Indicates the pose of the face as determined by its pitch, roll, and yaw.

$sel:quality:ComparedFace', comparedFace_quality - Identifies face image brightness and sharpness.

$sel:smile:ComparedFace', comparedFace_smile - Indicates whether or not the face is smiling, and the confidence level in the determination.

ComparedSourceImageFace

data ComparedSourceImageFace Source #

Type that describes the face Amazon Rekognition chose to compare with the faces in the target. This contains a bounding box for the selected face and confidence level that the bounding box contains a face. Note that Amazon Rekognition selects the largest face in the source image for this comparison.

See: newComparedSourceImageFace smart constructor.

Constructors

ComparedSourceImageFace' (Maybe BoundingBox) (Maybe Double)

Instances

Instances details

FromJSON ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods parseJSON :: Value -> Parser ComparedSourceImageFace # parseJSONList :: Value -> Parser [ComparedSourceImageFace] #
Generic ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Associated Types type Rep ComparedSourceImageFace :: Type -> Type # Methods from :: ComparedSourceImageFace -> Rep ComparedSourceImageFace x # to :: Rep ComparedSourceImageFace x -> ComparedSourceImageFace #
Read ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods readsPrec :: Int -> ReadS ComparedSourceImageFace # readList :: ReadS [ComparedSourceImageFace] # readPrec :: ReadPrec ComparedSourceImageFace # readListPrec :: ReadPrec [ComparedSourceImageFace] #
Show ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods showsPrec :: Int -> ComparedSourceImageFace -> ShowS # show :: ComparedSourceImageFace -> String # showList :: [ComparedSourceImageFace] -> ShowS #
NFData ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods rnf :: ComparedSourceImageFace -> () #
Eq ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods (==) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool # (/=) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool #
Hashable ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods hashWithSalt :: Int -> ComparedSourceImageFace -> Int # hash :: ComparedSourceImageFace -> Int #
type Rep ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace type Rep ComparedSourceImageFace = D1 ('MetaData "ComparedSourceImageFace" "Amazonka.Rekognition.Types.ComparedSourceImageFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ComparedSourceImageFace'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newComparedSourceImageFace :: ComparedSourceImageFace Source #

Create a value of ComparedSourceImageFace with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:ComparedSourceImageFace', comparedSourceImageFace_boundingBox - Bounding box of the face.

$sel:confidence:ComparedSourceImageFace', comparedSourceImageFace_confidence - Confidence level that the selected bounding box contains a face.

ConnectedHomeSettings

data ConnectedHomeSettings Source #

Label detection settings to use on a streaming video. Defining the settings is required in the request parameter for CreateStreamProcessor. Including this setting in the CreateStreamProcessor request enables you to use the stream processor for label detection. You can then select what you want the stream processor to detect, such as people or pets. When the stream processor has started, one notification is sent for each object class specified. For example, if packages and pets are selected, one SNS notification is published the first time a package is detected and one SNS notification is published the first time a pet is detected, as well as an end-of-session summary.

See: newConnectedHomeSettings smart constructor.

Constructors

ConnectedHomeSettings' (Maybe Double) (NonEmpty Text)

Instances

Instances details

FromJSON ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods parseJSON :: Value -> Parser ConnectedHomeSettings # parseJSONList :: Value -> Parser [ConnectedHomeSettings] #
ToJSON ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods toJSON :: ConnectedHomeSettings -> Value # toEncoding :: ConnectedHomeSettings -> Encoding # toJSONList :: [ConnectedHomeSettings] -> Value # toEncodingList :: [ConnectedHomeSettings] -> Encoding #
Generic ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Associated Types type Rep ConnectedHomeSettings :: Type -> Type # Methods from :: ConnectedHomeSettings -> Rep ConnectedHomeSettings x # to :: Rep ConnectedHomeSettings x -> ConnectedHomeSettings #
Read ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods readsPrec :: Int -> ReadS ConnectedHomeSettings # readList :: ReadS [ConnectedHomeSettings] # readPrec :: ReadPrec ConnectedHomeSettings # readListPrec :: ReadPrec [ConnectedHomeSettings] #
Show ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods showsPrec :: Int -> ConnectedHomeSettings -> ShowS # show :: ConnectedHomeSettings -> String # showList :: [ConnectedHomeSettings] -> ShowS #
NFData ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods rnf :: ConnectedHomeSettings -> () #
Eq ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods (==) :: ConnectedHomeSettings -> ConnectedHomeSettings -> Bool # (/=) :: ConnectedHomeSettings -> ConnectedHomeSettings -> Bool #
Hashable ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods hashWithSalt :: Int -> ConnectedHomeSettings -> Int # hash :: ConnectedHomeSettings -> Int #
type Rep ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings type Rep ConnectedHomeSettings = D1 ('MetaData "ConnectedHomeSettings" "Amazonka.Rekognition.Types.ConnectedHomeSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ConnectedHomeSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newConnectedHomeSettings Source #

Arguments

:: NonEmpty Text	`$sel:labels:ConnectedHomeSettings'`
-> ConnectedHomeSettings

Create a value of ConnectedHomeSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minConfidence:ConnectedHomeSettings', connectedHomeSettings_minConfidence - The minimum confidence required to label an object in the video.

$sel:labels:ConnectedHomeSettings', connectedHomeSettings_labels - Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

ConnectedHomeSettingsForUpdate

data ConnectedHomeSettingsForUpdate Source #

The label detection settings you want to use in your stream processor. This includes the labels you want the stream processor to detect and the minimum confidence level allowed to label objects.

See: newConnectedHomeSettingsForUpdate smart constructor.

Constructors

ConnectedHomeSettingsForUpdate' (Maybe (NonEmpty Text)) (Maybe Double)

Instances

Instances details

ToJSON ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods toJSON :: ConnectedHomeSettingsForUpdate -> Value # toEncoding :: ConnectedHomeSettingsForUpdate -> Encoding # toJSONList :: [ConnectedHomeSettingsForUpdate] -> Value # toEncodingList :: [ConnectedHomeSettingsForUpdate] -> Encoding #
Generic ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Associated Types type Rep ConnectedHomeSettingsForUpdate :: Type -> Type # Methods from :: ConnectedHomeSettingsForUpdate -> Rep ConnectedHomeSettingsForUpdate x # to :: Rep ConnectedHomeSettingsForUpdate x -> ConnectedHomeSettingsForUpdate #
Read ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods readsPrec :: Int -> ReadS ConnectedHomeSettingsForUpdate # readList :: ReadS [ConnectedHomeSettingsForUpdate] # readPrec :: ReadPrec ConnectedHomeSettingsForUpdate # readListPrec :: ReadPrec [ConnectedHomeSettingsForUpdate] #
Show ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods showsPrec :: Int -> ConnectedHomeSettingsForUpdate -> ShowS # show :: ConnectedHomeSettingsForUpdate -> String # showList :: [ConnectedHomeSettingsForUpdate] -> ShowS #
NFData ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods rnf :: ConnectedHomeSettingsForUpdate -> () #
Eq ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods (==) :: ConnectedHomeSettingsForUpdate -> ConnectedHomeSettingsForUpdate -> Bool # (/=) :: ConnectedHomeSettingsForUpdate -> ConnectedHomeSettingsForUpdate -> Bool #
Hashable ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods hashWithSalt :: Int -> ConnectedHomeSettingsForUpdate -> Int # hash :: ConnectedHomeSettingsForUpdate -> Int #
type Rep ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate type Rep ConnectedHomeSettingsForUpdate = D1 ('MetaData "ConnectedHomeSettingsForUpdate" "Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ConnectedHomeSettingsForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newConnectedHomeSettingsForUpdate :: ConnectedHomeSettingsForUpdate Source #

Create a value of ConnectedHomeSettingsForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labels:ConnectedHomeSettingsForUpdate', connectedHomeSettingsForUpdate_labels - Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

$sel:minConfidence:ConnectedHomeSettingsForUpdate', connectedHomeSettingsForUpdate_minConfidence - The minimum confidence required to label an object in the video.

ContentModerationDetection

data ContentModerationDetection Source #

Information about an inappropriate, unwanted, or offensive content label detection in a stored video.

See: newContentModerationDetection smart constructor.

Constructors

ContentModerationDetection' (Maybe ModerationLabel) (Maybe Integer)

Instances

Instances details

FromJSON ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods parseJSON :: Value -> Parser ContentModerationDetection # parseJSONList :: Value -> Parser [ContentModerationDetection] #
Generic ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Associated Types type Rep ContentModerationDetection :: Type -> Type # Methods from :: ContentModerationDetection -> Rep ContentModerationDetection x # to :: Rep ContentModerationDetection x -> ContentModerationDetection #
Read ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods readsPrec :: Int -> ReadS ContentModerationDetection # readList :: ReadS [ContentModerationDetection] # readPrec :: ReadPrec ContentModerationDetection # readListPrec :: ReadPrec [ContentModerationDetection] #
Show ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods showsPrec :: Int -> ContentModerationDetection -> ShowS # show :: ContentModerationDetection -> String # showList :: [ContentModerationDetection] -> ShowS #
NFData ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods rnf :: ContentModerationDetection -> () #
Eq ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods (==) :: ContentModerationDetection -> ContentModerationDetection -> Bool # (/=) :: ContentModerationDetection -> ContentModerationDetection -> Bool #
Hashable ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods hashWithSalt :: Int -> ContentModerationDetection -> Int # hash :: ContentModerationDetection -> Int #
type Rep ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection type Rep ContentModerationDetection = D1 ('MetaData "ContentModerationDetection" "Amazonka.Rekognition.Types.ContentModerationDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ContentModerationDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "moderationLabel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModerationLabel)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newContentModerationDetection :: ContentModerationDetection Source #

Create a value of ContentModerationDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:moderationLabel:ContentModerationDetection', contentModerationDetection_moderationLabel - The content moderation label detected by in the stored video.

$sel:timestamp:ContentModerationDetection', contentModerationDetection_timestamp - Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the moderated content first appears.

CoversBodyPart

data CoversBodyPart Source #

Information about an item of Personal Protective Equipment covering a corresponding body part. For more information, see DetectProtectiveEquipment.

See: newCoversBodyPart smart constructor.

Constructors

CoversBodyPart' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods parseJSON :: Value -> Parser CoversBodyPart # parseJSONList :: Value -> Parser [CoversBodyPart] #
Generic CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Associated Types type Rep CoversBodyPart :: Type -> Type # Methods from :: CoversBodyPart -> Rep CoversBodyPart x # to :: Rep CoversBodyPart x -> CoversBodyPart #
Read CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods readsPrec :: Int -> ReadS CoversBodyPart # readList :: ReadS [CoversBodyPart] # readPrec :: ReadPrec CoversBodyPart # readListPrec :: ReadPrec [CoversBodyPart] #
Show CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods showsPrec :: Int -> CoversBodyPart -> ShowS # show :: CoversBodyPart -> String # showList :: [CoversBodyPart] -> ShowS #
NFData CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods rnf :: CoversBodyPart -> () #
Eq CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods (==) :: CoversBodyPart -> CoversBodyPart -> Bool # (/=) :: CoversBodyPart -> CoversBodyPart -> Bool #
Hashable CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods hashWithSalt :: Int -> CoversBodyPart -> Int # hash :: CoversBodyPart -> Int #
type Rep CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart type Rep CoversBodyPart = D1 ('MetaData "CoversBodyPart" "Amazonka.Rekognition.Types.CoversBodyPart" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CoversBodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newCoversBodyPart :: CoversBodyPart Source #

Create a value of CoversBodyPart with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:CoversBodyPart', coversBodyPart_confidence - The confidence that Amazon Rekognition has in the value of Value.

$sel:value:CoversBodyPart', coversBodyPart_value - True if the PPE covers the corresponding body part, otherwise false.

CustomLabel

data CustomLabel Source #

A custom label detected in an image by a call to DetectCustomLabels.

See: newCustomLabel smart constructor.

Constructors

CustomLabel' (Maybe Double) (Maybe Geometry) (Maybe Text)

Instances

Instances details

FromJSON CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods parseJSON :: Value -> Parser CustomLabel # parseJSONList :: Value -> Parser [CustomLabel] #
Generic CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Associated Types type Rep CustomLabel :: Type -> Type # Methods from :: CustomLabel -> Rep CustomLabel x # to :: Rep CustomLabel x -> CustomLabel #
Read CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods readsPrec :: Int -> ReadS CustomLabel # readList :: ReadS [CustomLabel] # readPrec :: ReadPrec CustomLabel # readListPrec :: ReadPrec [CustomLabel] #
Show CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods showsPrec :: Int -> CustomLabel -> ShowS # show :: CustomLabel -> String # showList :: [CustomLabel] -> ShowS #
NFData CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods rnf :: CustomLabel -> () #
Eq CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods (==) :: CustomLabel -> CustomLabel -> Bool # (/=) :: CustomLabel -> CustomLabel -> Bool #
Hashable CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods hashWithSalt :: Int -> CustomLabel -> Int # hash :: CustomLabel -> Int #
type Rep CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel type Rep CustomLabel = D1 ('MetaData "CustomLabel" "Amazonka.Rekognition.Types.CustomLabel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CustomLabel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newCustomLabel :: CustomLabel Source #

Create a value of CustomLabel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:CustomLabel', customLabel_confidence - The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.

$sel:geometry:CustomLabel', customLabel_geometry - The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.

$sel:name:CustomLabel', customLabel_name - The name of the custom label.

DatasetChanges

data DatasetChanges Source #

Describes updates or additions to a dataset. A Single update or addition is an entry (JSON Line) that provides information about a single image. To update an existing entry, you match the source-ref field of the update entry with the source-ref filed of the entry that you want to update. If the source-ref field doesn't match an existing entry, the entry is added to dataset as a new entry.

See: newDatasetChanges smart constructor.

Constructors

DatasetChanges' Base64

Instances

Instances details

ToJSON DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods toJSON :: DatasetChanges -> Value # toEncoding :: DatasetChanges -> Encoding # toJSONList :: [DatasetChanges] -> Value # toEncodingList :: [DatasetChanges] -> Encoding #
Generic DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Associated Types type Rep DatasetChanges :: Type -> Type # Methods from :: DatasetChanges -> Rep DatasetChanges x # to :: Rep DatasetChanges x -> DatasetChanges #
Read DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods readsPrec :: Int -> ReadS DatasetChanges # readList :: ReadS [DatasetChanges] # readPrec :: ReadPrec DatasetChanges # readListPrec :: ReadPrec [DatasetChanges] #
Show DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods showsPrec :: Int -> DatasetChanges -> ShowS # show :: DatasetChanges -> String # showList :: [DatasetChanges] -> ShowS #
NFData DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods rnf :: DatasetChanges -> () #
Eq DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods (==) :: DatasetChanges -> DatasetChanges -> Bool # (/=) :: DatasetChanges -> DatasetChanges -> Bool #
Hashable DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods hashWithSalt :: Int -> DatasetChanges -> Int # hash :: DatasetChanges -> Int #
type Rep DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges type Rep DatasetChanges = D1 ('MetaData "DatasetChanges" "Amazonka.Rekognition.Types.DatasetChanges" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetChanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Base64)))

newDatasetChanges Source #

Arguments

:: ByteString	`$sel:groundTruth:DatasetChanges'`
-> DatasetChanges

Create a value of DatasetChanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groundTruth:DatasetChanges', datasetChanges_groundTruth - A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

DatasetDescription

data DatasetDescription Source #

A description for a dataset. For more information, see DescribeDataset.

The status fields Status, StatusMessage, and StatusMessageCode reflect the last operation on the dataset.

See: newDatasetDescription smart constructor.

Constructors

DatasetDescription' (Maybe POSIX) (Maybe DatasetStats) (Maybe POSIX) (Maybe DatasetStatus) (Maybe Text) (Maybe DatasetStatusMessageCode)

Instances

Instances details

FromJSON DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods parseJSON :: Value -> Parser DatasetDescription # parseJSONList :: Value -> Parser [DatasetDescription] #
Generic DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Associated Types type Rep DatasetDescription :: Type -> Type # Methods from :: DatasetDescription -> Rep DatasetDescription x # to :: Rep DatasetDescription x -> DatasetDescription #
Read DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods readsPrec :: Int -> ReadS DatasetDescription # readList :: ReadS [DatasetDescription] # readPrec :: ReadPrec DatasetDescription # readListPrec :: ReadPrec [DatasetDescription] #
Show DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods showsPrec :: Int -> DatasetDescription -> ShowS # show :: DatasetDescription -> String # showList :: [DatasetDescription] -> ShowS #
NFData DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods rnf :: DatasetDescription -> () #
Eq DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods (==) :: DatasetDescription -> DatasetDescription -> Bool # (/=) :: DatasetDescription -> DatasetDescription -> Bool #
Hashable DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods hashWithSalt :: Int -> DatasetDescription -> Int # hash :: DatasetDescription -> Int #
type Rep DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription type Rep DatasetDescription = D1 ('MetaData "DatasetDescription" "Amazonka.Rekognition.Types.DatasetDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetStats") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStats)) :: S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "statusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatusMessageCode))))))

newDatasetDescription :: DatasetDescription Source #

Create a value of DatasetDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:DatasetDescription', datasetDescription_creationTimestamp - The Unix timestamp for the time and date that the dataset was created.

$sel:datasetStats:DatasetDescription', datasetDescription_datasetStats - The status message code for the dataset.

$sel:lastUpdatedTimestamp:DatasetDescription', datasetDescription_lastUpdatedTimestamp - The Unix timestamp for the date and time that the dataset was last updated.

$sel:status:DatasetDescription', datasetDescription_status - The status of the dataset.

$sel:statusMessage:DatasetDescription', datasetDescription_statusMessage - The status message for the dataset.

$sel:statusMessageCode:DatasetDescription', datasetDescription_statusMessageCode - The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

DatasetLabelDescription

data DatasetLabelDescription Source #

Describes a dataset label. For more information, see ListDatasetLabels.

See: newDatasetLabelDescription smart constructor.

Constructors

DatasetLabelDescription' (Maybe Text) (Maybe DatasetLabelStats)

Instances

Instances details

FromJSON DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods parseJSON :: Value -> Parser DatasetLabelDescription # parseJSONList :: Value -> Parser [DatasetLabelDescription] #
Generic DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Associated Types type Rep DatasetLabelDescription :: Type -> Type # Methods from :: DatasetLabelDescription -> Rep DatasetLabelDescription x # to :: Rep DatasetLabelDescription x -> DatasetLabelDescription #
Read DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods readsPrec :: Int -> ReadS DatasetLabelDescription # readList :: ReadS [DatasetLabelDescription] # readPrec :: ReadPrec DatasetLabelDescription # readListPrec :: ReadPrec [DatasetLabelDescription] #
Show DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods showsPrec :: Int -> DatasetLabelDescription -> ShowS # show :: DatasetLabelDescription -> String # showList :: [DatasetLabelDescription] -> ShowS #
NFData DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods rnf :: DatasetLabelDescription -> () #
Eq DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods (==) :: DatasetLabelDescription -> DatasetLabelDescription -> Bool # (/=) :: DatasetLabelDescription -> DatasetLabelDescription -> Bool #
Hashable DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription Methods hashWithSalt :: Int -> DatasetLabelDescription -> Int # hash :: DatasetLabelDescription -> Int #
type Rep DatasetLabelDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelDescription type Rep DatasetLabelDescription = D1 ('MetaData "DatasetLabelDescription" "Amazonka.Rekognition.Types.DatasetLabelDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetLabelDescription'" 'PrefixI 'True) (S1 ('MetaSel ('Just "labelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "labelStats") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetLabelStats))))

newDatasetLabelDescription :: DatasetLabelDescription Source #

Create a value of DatasetLabelDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labelName:DatasetLabelDescription', datasetLabelDescription_labelName - The name of the label.

$sel:labelStats:DatasetLabelDescription', datasetLabelDescription_labelStats - Statistics about the label.

DatasetLabelStats

data DatasetLabelStats Source #

Statistics about a label used in a dataset. For more information, see DatasetLabelDescription.

See: newDatasetLabelStats smart constructor.

Constructors

DatasetLabelStats' (Maybe Natural) (Maybe Natural)

Instances

Instances details

FromJSON DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods parseJSON :: Value -> Parser DatasetLabelStats # parseJSONList :: Value -> Parser [DatasetLabelStats] #
Generic DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Associated Types type Rep DatasetLabelStats :: Type -> Type # Methods from :: DatasetLabelStats -> Rep DatasetLabelStats x # to :: Rep DatasetLabelStats x -> DatasetLabelStats #
Read DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods readsPrec :: Int -> ReadS DatasetLabelStats # readList :: ReadS [DatasetLabelStats] # readPrec :: ReadPrec DatasetLabelStats # readListPrec :: ReadPrec [DatasetLabelStats] #
Show DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods showsPrec :: Int -> DatasetLabelStats -> ShowS # show :: DatasetLabelStats -> String # showList :: [DatasetLabelStats] -> ShowS #
NFData DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods rnf :: DatasetLabelStats -> () #
Eq DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods (==) :: DatasetLabelStats -> DatasetLabelStats -> Bool # (/=) :: DatasetLabelStats -> DatasetLabelStats -> Bool #
Hashable DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats Methods hashWithSalt :: Int -> DatasetLabelStats -> Int # hash :: DatasetLabelStats -> Int #
type Rep DatasetLabelStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetLabelStats type Rep DatasetLabelStats = D1 ('MetaData "DatasetLabelStats" "Amazonka.Rekognition.Types.DatasetLabelStats" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetLabelStats'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBoxCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "entryCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newDatasetLabelStats :: DatasetLabelStats Source #

Create a value of DatasetLabelStats with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBoxCount:DatasetLabelStats', datasetLabelStats_boundingBoxCount - The total number of images that have the label assigned to a bounding box.

$sel:entryCount:DatasetLabelStats', datasetLabelStats_entryCount - The total number of images that use the label.

DatasetMetadata

data DatasetMetadata Source #

Summary information for an Amazon Rekognition Custom Labels dataset. For more information, see ProjectDescription.

See: newDatasetMetadata smart constructor.

Constructors

DatasetMetadata' (Maybe POSIX) (Maybe Text) (Maybe DatasetType) (Maybe DatasetStatus) (Maybe Text) (Maybe DatasetStatusMessageCode)

Instances

Instances details

FromJSON DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods parseJSON :: Value -> Parser DatasetMetadata # parseJSONList :: Value -> Parser [DatasetMetadata] #
Generic DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Associated Types type Rep DatasetMetadata :: Type -> Type # Methods from :: DatasetMetadata -> Rep DatasetMetadata x # to :: Rep DatasetMetadata x -> DatasetMetadata #
Read DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods readsPrec :: Int -> ReadS DatasetMetadata # readList :: ReadS [DatasetMetadata] # readPrec :: ReadPrec DatasetMetadata # readListPrec :: ReadPrec [DatasetMetadata] #
Show DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods showsPrec :: Int -> DatasetMetadata -> ShowS # show :: DatasetMetadata -> String # showList :: [DatasetMetadata] -> ShowS #
NFData DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods rnf :: DatasetMetadata -> () #
Eq DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods (==) :: DatasetMetadata -> DatasetMetadata -> Bool # (/=) :: DatasetMetadata -> DatasetMetadata -> Bool #
Hashable DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods hashWithSalt :: Int -> DatasetMetadata -> Int # hash :: DatasetMetadata -> Int #
type Rep DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata type Rep DatasetMetadata = D1 ('MetaData "DatasetMetadata" "Amazonka.Rekognition.Types.DatasetMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetType)))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "statusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatusMessageCode))))))

newDatasetMetadata :: DatasetMetadata Source #

Create a value of DatasetMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:DatasetMetadata', datasetMetadata_creationTimestamp - The Unix timestamp for the date and time that the dataset was created.

$sel:datasetArn:DatasetMetadata', datasetMetadata_datasetArn - The Amazon Resource Name (ARN) for the dataset.

$sel:datasetType:DatasetMetadata', datasetMetadata_datasetType - The type of the dataset.

$sel:status:DatasetMetadata', datasetMetadata_status - The status for the dataset.

$sel:statusMessage:DatasetMetadata', datasetMetadata_statusMessage - The status message for the dataset.

$sel:statusMessageCode:DatasetMetadata', datasetMetadata_statusMessageCode - The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

DatasetSource

data DatasetSource Source #

The source that Amazon Rekognition Custom Labels uses to create a dataset. To use an Amazon Sagemaker format manifest file, specify the S3 bucket location in the GroundTruthManifest field. The S3 bucket must be in your AWS account. To create a copy of an existing dataset, specify the Amazon Resource Name (ARN) of an existing dataset in DatasetArn.

You need to specify a value for DatasetArn or GroundTruthManifest, but not both. if you supply both values, or if you don't specify any values, an InvalidParameterException exception occurs.

For more information, see CreateDataset.

See: newDatasetSource smart constructor.

Constructors

DatasetSource' (Maybe Text) (Maybe GroundTruthManifest)

Instances

Instances details

ToJSON DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods toJSON :: DatasetSource -> Value # toEncoding :: DatasetSource -> Encoding # toJSONList :: [DatasetSource] -> Value # toEncodingList :: [DatasetSource] -> Encoding #
Generic DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Associated Types type Rep DatasetSource :: Type -> Type # Methods from :: DatasetSource -> Rep DatasetSource x # to :: Rep DatasetSource x -> DatasetSource #
Read DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods readsPrec :: Int -> ReadS DatasetSource # readList :: ReadS [DatasetSource] # readPrec :: ReadPrec DatasetSource # readListPrec :: ReadPrec [DatasetSource] #
Show DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods showsPrec :: Int -> DatasetSource -> ShowS # show :: DatasetSource -> String # showList :: [DatasetSource] -> ShowS #
NFData DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods rnf :: DatasetSource -> () #
Eq DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods (==) :: DatasetSource -> DatasetSource -> Bool # (/=) :: DatasetSource -> DatasetSource -> Bool #
Hashable DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource Methods hashWithSalt :: Int -> DatasetSource -> Int # hash :: DatasetSource -> Int #
type Rep DatasetSource Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetSource type Rep DatasetSource = D1 ('MetaData "DatasetSource" "Amazonka.Rekognition.Types.DatasetSource" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "groundTruthManifest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest))))

newDatasetSource :: DatasetSource Source #

Create a value of DatasetSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetArn:DatasetSource', datasetSource_datasetArn - The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

$sel:groundTruthManifest:DatasetSource', datasetSource_groundTruthManifest - Undocumented member.

DatasetStats

data DatasetStats Source #

Provides statistics about a dataset. For more information, see DescribeDataset.

See: newDatasetStats smart constructor.

Constructors

DatasetStats' (Maybe Natural) (Maybe Natural) (Maybe Natural) (Maybe Natural)

Instances

Instances details

FromJSON DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods parseJSON :: Value -> Parser DatasetStats # parseJSONList :: Value -> Parser [DatasetStats] #
Generic DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Associated Types type Rep DatasetStats :: Type -> Type # Methods from :: DatasetStats -> Rep DatasetStats x # to :: Rep DatasetStats x -> DatasetStats #
Read DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods readsPrec :: Int -> ReadS DatasetStats # readList :: ReadS [DatasetStats] # readPrec :: ReadPrec DatasetStats # readListPrec :: ReadPrec [DatasetStats] #
Show DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods showsPrec :: Int -> DatasetStats -> ShowS # show :: DatasetStats -> String # showList :: [DatasetStats] -> ShowS #
NFData DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods rnf :: DatasetStats -> () #
Eq DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods (==) :: DatasetStats -> DatasetStats -> Bool # (/=) :: DatasetStats -> DatasetStats -> Bool #
Hashable DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats Methods hashWithSalt :: Int -> DatasetStats -> Int # hash :: DatasetStats -> Int #
type Rep DatasetStats Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStats type Rep DatasetStats = D1 ('MetaData "DatasetStats" "Amazonka.Rekognition.Types.DatasetStats" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetStats'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "errorEntries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "labeledEntries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "totalEntries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "totalLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newDatasetStats :: DatasetStats Source #

Create a value of DatasetStats with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:errorEntries:DatasetStats', datasetStats_errorEntries - The total number of entries that contain at least one error.

$sel:labeledEntries:DatasetStats', datasetStats_labeledEntries - The total number of images in the dataset that have labels.

$sel:totalEntries:DatasetStats', datasetStats_totalEntries - The total number of images in the dataset.

$sel:totalLabels:DatasetStats', datasetStats_totalLabels - The total number of labels declared in the dataset.

DetectLabelsImageBackground

data DetectLabelsImageBackground Source #

The background of the image with regard to image quality and dominant colors.

See: newDetectLabelsImageBackground smart constructor.

Constructors

DetectLabelsImageBackground' (Maybe [DominantColor]) (Maybe DetectLabelsImageQuality)

Instances

Instances details

FromJSON DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods parseJSON :: Value -> Parser DetectLabelsImageBackground # parseJSONList :: Value -> Parser [DetectLabelsImageBackground] #
Generic DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Associated Types type Rep DetectLabelsImageBackground :: Type -> Type # Methods from :: DetectLabelsImageBackground -> Rep DetectLabelsImageBackground x # to :: Rep DetectLabelsImageBackground x -> DetectLabelsImageBackground #
Read DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods readsPrec :: Int -> ReadS DetectLabelsImageBackground # readList :: ReadS [DetectLabelsImageBackground] # readPrec :: ReadPrec DetectLabelsImageBackground # readListPrec :: ReadPrec [DetectLabelsImageBackground] #
Show DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods showsPrec :: Int -> DetectLabelsImageBackground -> ShowS # show :: DetectLabelsImageBackground -> String # showList :: [DetectLabelsImageBackground] -> ShowS #
NFData DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods rnf :: DetectLabelsImageBackground -> () #
Eq DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods (==) :: DetectLabelsImageBackground -> DetectLabelsImageBackground -> Bool # (/=) :: DetectLabelsImageBackground -> DetectLabelsImageBackground -> Bool #
Hashable DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods hashWithSalt :: Int -> DetectLabelsImageBackground -> Int # hash :: DetectLabelsImageBackground -> Int #
type Rep DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground type Rep DetectLabelsImageBackground = D1 ('MetaData "DetectLabelsImageBackground" "Amazonka.Rekognition.Types.DetectLabelsImageBackground" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageBackground'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality))))

newDetectLabelsImageBackground :: DetectLabelsImageBackground Source #

Create a value of DetectLabelsImageBackground with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dominantColors:DetectLabelsImageBackground', detectLabelsImageBackground_dominantColors - The dominant colors found in the background of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:quality:DetectLabelsImageBackground', detectLabelsImageBackground_quality - The quality of the image background as defined by brightness and sharpness.

DetectLabelsImageForeground

data DetectLabelsImageForeground Source #

The foreground of the image with regard to image quality and dominant colors.

See: newDetectLabelsImageForeground smart constructor.

Constructors

DetectLabelsImageForeground' (Maybe [DominantColor]) (Maybe DetectLabelsImageQuality)

Instances

Instances details

FromJSON DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods parseJSON :: Value -> Parser DetectLabelsImageForeground # parseJSONList :: Value -> Parser [DetectLabelsImageForeground] #
Generic DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Associated Types type Rep DetectLabelsImageForeground :: Type -> Type # Methods from :: DetectLabelsImageForeground -> Rep DetectLabelsImageForeground x # to :: Rep DetectLabelsImageForeground x -> DetectLabelsImageForeground #
Read DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods readsPrec :: Int -> ReadS DetectLabelsImageForeground # readList :: ReadS [DetectLabelsImageForeground] # readPrec :: ReadPrec DetectLabelsImageForeground # readListPrec :: ReadPrec [DetectLabelsImageForeground] #
Show DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods showsPrec :: Int -> DetectLabelsImageForeground -> ShowS # show :: DetectLabelsImageForeground -> String # showList :: [DetectLabelsImageForeground] -> ShowS #
NFData DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods rnf :: DetectLabelsImageForeground -> () #
Eq DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods (==) :: DetectLabelsImageForeground -> DetectLabelsImageForeground -> Bool # (/=) :: DetectLabelsImageForeground -> DetectLabelsImageForeground -> Bool #
Hashable DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods hashWithSalt :: Int -> DetectLabelsImageForeground -> Int # hash :: DetectLabelsImageForeground -> Int #
type Rep DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground type Rep DetectLabelsImageForeground = D1 ('MetaData "DetectLabelsImageForeground" "Amazonka.Rekognition.Types.DetectLabelsImageForeground" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageForeground'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality))))

newDetectLabelsImageForeground :: DetectLabelsImageForeground Source #

Create a value of DetectLabelsImageForeground with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dominantColors:DetectLabelsImageForeground', detectLabelsImageForeground_dominantColors - The dominant colors found in the foreground of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:quality:DetectLabelsImageForeground', detectLabelsImageForeground_quality - The quality of the image foreground as defined by brightness and sharpness.

DetectLabelsImageProperties

data DetectLabelsImageProperties Source #

Information about the quality and dominant colors of an input image. Quality and color information is returned for the entire image, foreground, and background.

See: newDetectLabelsImageProperties smart constructor.

Constructors

DetectLabelsImageProperties' (Maybe DetectLabelsImageBackground) (Maybe [DominantColor]) (Maybe DetectLabelsImageForeground) (Maybe DetectLabelsImageQuality)

Instances

Instances details

FromJSON DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods parseJSON :: Value -> Parser DetectLabelsImageProperties # parseJSONList :: Value -> Parser [DetectLabelsImageProperties] #
Generic DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Associated Types type Rep DetectLabelsImageProperties :: Type -> Type # Methods from :: DetectLabelsImageProperties -> Rep DetectLabelsImageProperties x # to :: Rep DetectLabelsImageProperties x -> DetectLabelsImageProperties #
Read DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods readsPrec :: Int -> ReadS DetectLabelsImageProperties # readList :: ReadS [DetectLabelsImageProperties] # readPrec :: ReadPrec DetectLabelsImageProperties # readListPrec :: ReadPrec [DetectLabelsImageProperties] #
Show DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods showsPrec :: Int -> DetectLabelsImageProperties -> ShowS # show :: DetectLabelsImageProperties -> String # showList :: [DetectLabelsImageProperties] -> ShowS #
NFData DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods rnf :: DetectLabelsImageProperties -> () #
Eq DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods (==) :: DetectLabelsImageProperties -> DetectLabelsImageProperties -> Bool # (/=) :: DetectLabelsImageProperties -> DetectLabelsImageProperties -> Bool #
Hashable DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods hashWithSalt :: Int -> DetectLabelsImageProperties -> Int # hash :: DetectLabelsImageProperties -> Int #
type Rep DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties type Rep DetectLabelsImageProperties = D1 ('MetaData "DetectLabelsImageProperties" "Amazonka.Rekognition.Types.DetectLabelsImageProperties" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageProperties'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "background") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageBackground)) :: S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor]))) :: (S1 ('MetaSel ('Just "foreground") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageForeground)) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality)))))

newDetectLabelsImageProperties :: DetectLabelsImageProperties Source #

Create a value of DetectLabelsImageProperties with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:background:DetectLabelsImageProperties', detectLabelsImageProperties_background - Information about the properties of an image’s background, including the background’s quality and dominant colors, including the quality and dominant colors of the image.

DetectLabelsImageProperties, detectLabelsImageProperties_dominantColors - Information about the dominant colors found in an image, described with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:foreground:DetectLabelsImageProperties', detectLabelsImageProperties_foreground - Information about the properties of an image’s foreground, including the foreground’s quality and dominant colors, including the quality and dominant colors of the image.

DetectLabelsImageProperties, detectLabelsImageProperties_quality - Information about the quality of the image foreground as defined by brightness, sharpness, and contrast. The higher the value the greater the brightness, sharpness, and contrast respectively.

DetectLabelsImagePropertiesSettings

data DetectLabelsImagePropertiesSettings Source #

Settings for the IMAGE_PROPERTIES feature type.

See: newDetectLabelsImagePropertiesSettings smart constructor.

Constructors

DetectLabelsImagePropertiesSettings' (Maybe Natural)

Instances

Instances details

ToJSON DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods toJSON :: DetectLabelsImagePropertiesSettings -> Value # toEncoding :: DetectLabelsImagePropertiesSettings -> Encoding # toJSONList :: [DetectLabelsImagePropertiesSettings] -> Value # toEncodingList :: [DetectLabelsImagePropertiesSettings] -> Encoding #
Generic DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Associated Types type Rep DetectLabelsImagePropertiesSettings :: Type -> Type # Methods from :: DetectLabelsImagePropertiesSettings -> Rep DetectLabelsImagePropertiesSettings x # to :: Rep DetectLabelsImagePropertiesSettings x -> DetectLabelsImagePropertiesSettings #
Read DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods readsPrec :: Int -> ReadS DetectLabelsImagePropertiesSettings # readList :: ReadS [DetectLabelsImagePropertiesSettings] # readPrec :: ReadPrec DetectLabelsImagePropertiesSettings # readListPrec :: ReadPrec [DetectLabelsImagePropertiesSettings] #
Show DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods showsPrec :: Int -> DetectLabelsImagePropertiesSettings -> ShowS # show :: DetectLabelsImagePropertiesSettings -> String # showList :: [DetectLabelsImagePropertiesSettings] -> ShowS #
NFData DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods rnf :: DetectLabelsImagePropertiesSettings -> () #
Eq DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods (==) :: DetectLabelsImagePropertiesSettings -> DetectLabelsImagePropertiesSettings -> Bool # (/=) :: DetectLabelsImagePropertiesSettings -> DetectLabelsImagePropertiesSettings -> Bool #
Hashable DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings Methods hashWithSalt :: Int -> DetectLabelsImagePropertiesSettings -> Int # hash :: DetectLabelsImagePropertiesSettings -> Int #
type Rep DetectLabelsImagePropertiesSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings type Rep DetectLabelsImagePropertiesSettings = D1 ('MetaData "DetectLabelsImagePropertiesSettings" "Amazonka.Rekognition.Types.DetectLabelsImagePropertiesSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImagePropertiesSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxDominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newDetectLabelsImagePropertiesSettings :: DetectLabelsImagePropertiesSettings Source #

Create a value of DetectLabelsImagePropertiesSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxDominantColors:DetectLabelsImagePropertiesSettings', detectLabelsImagePropertiesSettings_maxDominantColors - The maximum number of dominant colors to return when detecting labels in an image. The default value is 10.

DetectLabelsImageQuality

data DetectLabelsImageQuality Source #

The quality of an image provided for label detection, with regard to brightness, sharpness, and contrast.

See: newDetectLabelsImageQuality smart constructor.

Constructors

DetectLabelsImageQuality' (Maybe Double) (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods parseJSON :: Value -> Parser DetectLabelsImageQuality # parseJSONList :: Value -> Parser [DetectLabelsImageQuality] #
Generic DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Associated Types type Rep DetectLabelsImageQuality :: Type -> Type # Methods from :: DetectLabelsImageQuality -> Rep DetectLabelsImageQuality x # to :: Rep DetectLabelsImageQuality x -> DetectLabelsImageQuality #
Read DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods readsPrec :: Int -> ReadS DetectLabelsImageQuality # readList :: ReadS [DetectLabelsImageQuality] # readPrec :: ReadPrec DetectLabelsImageQuality # readListPrec :: ReadPrec [DetectLabelsImageQuality] #
Show DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods showsPrec :: Int -> DetectLabelsImageQuality -> ShowS # show :: DetectLabelsImageQuality -> String # showList :: [DetectLabelsImageQuality] -> ShowS #
NFData DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods rnf :: DetectLabelsImageQuality -> () #
Eq DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods (==) :: DetectLabelsImageQuality -> DetectLabelsImageQuality -> Bool # (/=) :: DetectLabelsImageQuality -> DetectLabelsImageQuality -> Bool #
Hashable DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods hashWithSalt :: Int -> DetectLabelsImageQuality -> Int # hash :: DetectLabelsImageQuality -> Int #
type Rep DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality type Rep DetectLabelsImageQuality = D1 ('MetaData "DetectLabelsImageQuality" "Amazonka.Rekognition.Types.DetectLabelsImageQuality" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "brightness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "contrast") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "sharpness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newDetectLabelsImageQuality :: DetectLabelsImageQuality Source #

Create a value of DetectLabelsImageQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:brightness:DetectLabelsImageQuality', detectLabelsImageQuality_brightness - The brightness of an image provided for label detection.

$sel:contrast:DetectLabelsImageQuality', detectLabelsImageQuality_contrast - The contrast of an image provided for label detection.

$sel:sharpness:DetectLabelsImageQuality', detectLabelsImageQuality_sharpness - The sharpness of an image provided for label detection.

DetectLabelsSettings

data DetectLabelsSettings Source #

Settings for the DetectLabels request. Settings can include filters for both GENERAL_LABELS and IMAGE_PROPERTIES. GENERAL_LABELS filters can be inclusive or exclusive and applied to individual labels or label categories. IMAGE_PROPERTIES filters allow specification of a maximum number of dominant colors.

See: newDetectLabelsSettings smart constructor.

Constructors

DetectLabelsSettings' (Maybe GeneralLabelsSettings) (Maybe DetectLabelsImagePropertiesSettings)

Instances

Instances details

ToJSON DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods toJSON :: DetectLabelsSettings -> Value # toEncoding :: DetectLabelsSettings -> Encoding # toJSONList :: [DetectLabelsSettings] -> Value # toEncodingList :: [DetectLabelsSettings] -> Encoding #
Generic DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Associated Types type Rep DetectLabelsSettings :: Type -> Type # Methods from :: DetectLabelsSettings -> Rep DetectLabelsSettings x # to :: Rep DetectLabelsSettings x -> DetectLabelsSettings #
Read DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods readsPrec :: Int -> ReadS DetectLabelsSettings # readList :: ReadS [DetectLabelsSettings] # readPrec :: ReadPrec DetectLabelsSettings # readListPrec :: ReadPrec [DetectLabelsSettings] #
Show DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods showsPrec :: Int -> DetectLabelsSettings -> ShowS # show :: DetectLabelsSettings -> String # showList :: [DetectLabelsSettings] -> ShowS #
NFData DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods rnf :: DetectLabelsSettings -> () #
Eq DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods (==) :: DetectLabelsSettings -> DetectLabelsSettings -> Bool # (/=) :: DetectLabelsSettings -> DetectLabelsSettings -> Bool #
Hashable DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods hashWithSalt :: Int -> DetectLabelsSettings -> Int # hash :: DetectLabelsSettings -> Int #
type Rep DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings type Rep DetectLabelsSettings = D1 ('MetaData "DetectLabelsSettings" "Amazonka.Rekognition.Types.DetectLabelsSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "generalLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GeneralLabelsSettings)) :*: S1 ('MetaSel ('Just "imageProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImagePropertiesSettings))))

newDetectLabelsSettings :: DetectLabelsSettings Source #

Create a value of DetectLabelsSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:generalLabels:DetectLabelsSettings', detectLabelsSettings_generalLabels - Contains the specified filters for GENERAL_LABELS.

$sel:imageProperties:DetectLabelsSettings', detectLabelsSettings_imageProperties - Contains the chosen number of maximum dominant colors in an image.

DetectTextFilters

data DetectTextFilters Source #

A set of optional parameters that you can use to set the criteria that the text must meet to be included in your response. WordFilter looks at a word’s height, width, and minimum confidence. RegionOfInterest lets you set a specific region of the image to look for text in.

See: newDetectTextFilters smart constructor.

Constructors

DetectTextFilters' (Maybe [RegionOfInterest]) (Maybe DetectionFilter)

Instances

Instances details

ToJSON DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods toJSON :: DetectTextFilters -> Value # toEncoding :: DetectTextFilters -> Encoding # toJSONList :: [DetectTextFilters] -> Value # toEncodingList :: [DetectTextFilters] -> Encoding #
Generic DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Associated Types type Rep DetectTextFilters :: Type -> Type # Methods from :: DetectTextFilters -> Rep DetectTextFilters x # to :: Rep DetectTextFilters x -> DetectTextFilters #
Read DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods readsPrec :: Int -> ReadS DetectTextFilters # readList :: ReadS [DetectTextFilters] # readPrec :: ReadPrec DetectTextFilters # readListPrec :: ReadPrec [DetectTextFilters] #
Show DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods showsPrec :: Int -> DetectTextFilters -> ShowS # show :: DetectTextFilters -> String # showList :: [DetectTextFilters] -> ShowS #
NFData DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods rnf :: DetectTextFilters -> () #
Eq DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods (==) :: DetectTextFilters -> DetectTextFilters -> Bool # (/=) :: DetectTextFilters -> DetectTextFilters -> Bool #
Hashable DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods hashWithSalt :: Int -> DetectTextFilters -> Int # hash :: DetectTextFilters -> Int #
type Rep DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters type Rep DetectTextFilters = D1 ('MetaData "DetectTextFilters" "Amazonka.Rekognition.Types.DetectTextFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectTextFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :*: S1 ('MetaSel ('Just "wordFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectionFilter))))

newDetectTextFilters :: DetectTextFilters Source #

Create a value of DetectTextFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:regionsOfInterest:DetectTextFilters', detectTextFilters_regionsOfInterest - A Filter focusing on a certain area of the image. Uses a BoundingBox object to set the region of the image.

$sel:wordFilter:DetectTextFilters', detectTextFilters_wordFilter - Undocumented member.

DetectionFilter

data DetectionFilter Source #

A set of parameters that allow you to filter out certain results from your returned results.

See: newDetectionFilter smart constructor.

Constructors

DetectionFilter' (Maybe Double) (Maybe Double) (Maybe Double)

Instances

Instances details

ToJSON DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods toJSON :: DetectionFilter -> Value # toEncoding :: DetectionFilter -> Encoding # toJSONList :: [DetectionFilter] -> Value # toEncodingList :: [DetectionFilter] -> Encoding #
Generic DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Associated Types type Rep DetectionFilter :: Type -> Type # Methods from :: DetectionFilter -> Rep DetectionFilter x # to :: Rep DetectionFilter x -> DetectionFilter #
Read DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods readsPrec :: Int -> ReadS DetectionFilter # readList :: ReadS [DetectionFilter] # readPrec :: ReadPrec DetectionFilter # readListPrec :: ReadPrec [DetectionFilter] #
Show DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods showsPrec :: Int -> DetectionFilter -> ShowS # show :: DetectionFilter -> String # showList :: [DetectionFilter] -> ShowS #
NFData DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods rnf :: DetectionFilter -> () #
Eq DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods (==) :: DetectionFilter -> DetectionFilter -> Bool # (/=) :: DetectionFilter -> DetectionFilter -> Bool #
Hashable DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods hashWithSalt :: Int -> DetectionFilter -> Int # hash :: DetectionFilter -> Int #
type Rep DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter type Rep DetectionFilter = D1 ('MetaData "DetectionFilter" "Amazonka.Rekognition.Types.DetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minBoundingBoxHeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "minBoundingBoxWidth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newDetectionFilter :: DetectionFilter Source #

Create a value of DetectionFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minBoundingBoxHeight:DetectionFilter', detectionFilter_minBoundingBoxHeight - Sets the minimum height of the word bounding box. Words with bounding box heights lesser than this value will be excluded from the result. Value is relative to the video frame height.

$sel:minBoundingBoxWidth:DetectionFilter', detectionFilter_minBoundingBoxWidth - Sets the minimum width of the word bounding box. Words with bounding boxes widths lesser than this value will be excluded from the result. Value is relative to the video frame width.

$sel:minConfidence:DetectionFilter', detectionFilter_minConfidence - Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 0 and 100. The default MinConfidence is 80.

DistributeDataset

data DistributeDataset Source #

A training dataset or a test dataset used in a dataset distribution operation. For more information, see DistributeDatasetEntries.

See: newDistributeDataset smart constructor.

Constructors

DistributeDataset' Text

Instances

Instances details

ToJSON DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods toJSON :: DistributeDataset -> Value # toEncoding :: DistributeDataset -> Encoding # toJSONList :: [DistributeDataset] -> Value # toEncodingList :: [DistributeDataset] -> Encoding #
Generic DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Associated Types type Rep DistributeDataset :: Type -> Type # Methods from :: DistributeDataset -> Rep DistributeDataset x # to :: Rep DistributeDataset x -> DistributeDataset #
Read DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods readsPrec :: Int -> ReadS DistributeDataset # readList :: ReadS [DistributeDataset] # readPrec :: ReadPrec DistributeDataset # readListPrec :: ReadPrec [DistributeDataset] #
Show DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods showsPrec :: Int -> DistributeDataset -> ShowS # show :: DistributeDataset -> String # showList :: [DistributeDataset] -> ShowS #
NFData DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods rnf :: DistributeDataset -> () #
Eq DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods (==) :: DistributeDataset -> DistributeDataset -> Bool # (/=) :: DistributeDataset -> DistributeDataset -> Bool #
Hashable DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods hashWithSalt :: Int -> DistributeDataset -> Int # hash :: DistributeDataset -> Int #
type Rep DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset type Rep DistributeDataset = D1 ('MetaData "DistributeDataset" "Amazonka.Rekognition.Types.DistributeDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DistributeDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDistributeDataset Source #

Arguments

:: Text	`$sel:arn:DistributeDataset'`
-> DistributeDataset

Create a value of DistributeDataset with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:DistributeDataset', distributeDataset_arn - The Amazon Resource Name (ARN) of the dataset that you want to use.

DominantColor

data DominantColor Source #

A description of the dominant colors in an image.

See: newDominantColor smart constructor.

Constructors

DominantColor' (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Double) (Maybe Natural) (Maybe Text)

Instances

Instances details

FromJSON DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods parseJSON :: Value -> Parser DominantColor # parseJSONList :: Value -> Parser [DominantColor] #
Generic DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Associated Types type Rep DominantColor :: Type -> Type # Methods from :: DominantColor -> Rep DominantColor x # to :: Rep DominantColor x -> DominantColor #
Read DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods readsPrec :: Int -> ReadS DominantColor # readList :: ReadS [DominantColor] # readPrec :: ReadPrec DominantColor # readListPrec :: ReadPrec [DominantColor] #
Show DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods showsPrec :: Int -> DominantColor -> ShowS # show :: DominantColor -> String # showList :: [DominantColor] -> ShowS #
NFData DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods rnf :: DominantColor -> () #
Eq DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods (==) :: DominantColor -> DominantColor -> Bool # (/=) :: DominantColor -> DominantColor -> Bool #
Hashable DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods hashWithSalt :: Int -> DominantColor -> Int # hash :: DominantColor -> Int #
type Rep DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor type Rep DominantColor = D1 ('MetaData "DominantColor" "Amazonka.Rekognition.Types.DominantColor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DominantColor'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "blue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "cSSColor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "green") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: ((S1 ('MetaSel ('Just "hexCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pixelPercent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "red") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "simplifiedColor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDominantColor :: DominantColor Source #

Create a value of DominantColor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:blue:DominantColor', dominantColor_blue - The Blue RGB value for a dominant color.

$sel:cSSColor:DominantColor', dominantColor_cSSColor - The CSS color name of a dominant color.

$sel:green:DominantColor', dominantColor_green - The Green RGB value for a dominant color.

$sel:hexCode:DominantColor', dominantColor_hexCode - The Hex code equivalent of the RGB values for a dominant color.

$sel:pixelPercent:DominantColor', dominantColor_pixelPercent - The percentage of image pixels that have a given dominant color.

$sel:red:DominantColor', dominantColor_red - The Red RGB value for a dominant color.

$sel:simplifiedColor:DominantColor', dominantColor_simplifiedColor - One of 12 simplified color names applied to a dominant color.

Emotion

data Emotion Source #

The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.

See: newEmotion smart constructor.

Constructors

Emotion' (Maybe Double) (Maybe EmotionName)

Instances

Instances details

FromJSON Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods parseJSON :: Value -> Parser Emotion # parseJSONList :: Value -> Parser [Emotion] #
Generic Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Associated Types type Rep Emotion :: Type -> Type # Methods from :: Emotion -> Rep Emotion x # to :: Rep Emotion x -> Emotion #
Read Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods readsPrec :: Int -> ReadS Emotion # readList :: ReadS [Emotion] # readPrec :: ReadPrec Emotion # readListPrec :: ReadPrec [Emotion] #
Show Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods showsPrec :: Int -> Emotion -> ShowS # show :: Emotion -> String # showList :: [Emotion] -> ShowS #
NFData Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods rnf :: Emotion -> () #
Eq Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods (==) :: Emotion -> Emotion -> Bool # (/=) :: Emotion -> Emotion -> Bool #
Hashable Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods hashWithSalt :: Int -> Emotion -> Int # hash :: Emotion -> Int #
type Rep Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion type Rep Emotion = D1 ('MetaData "Emotion" "Amazonka.Rekognition.Types.Emotion" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Emotion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EmotionName))))

newEmotion :: Emotion Source #

Create a value of Emotion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Emotion', emotion_confidence - Level of confidence in the determination.

$sel:type':Emotion', emotion_type - Type of emotion detected.

EquipmentDetection

data EquipmentDetection Source #

Information about an item of Personal Protective Equipment (PPE) detected by DetectProtectiveEquipment. For more information, see DetectProtectiveEquipment.

See: newEquipmentDetection smart constructor.

Constructors

EquipmentDetection' (Maybe BoundingBox) (Maybe Double) (Maybe CoversBodyPart) (Maybe ProtectiveEquipmentType)

Instances

Instances details

FromJSON EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods parseJSON :: Value -> Parser EquipmentDetection # parseJSONList :: Value -> Parser [EquipmentDetection] #
Generic EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Associated Types type Rep EquipmentDetection :: Type -> Type # Methods from :: EquipmentDetection -> Rep EquipmentDetection x # to :: Rep EquipmentDetection x -> EquipmentDetection #
Read EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods readsPrec :: Int -> ReadS EquipmentDetection # readList :: ReadS [EquipmentDetection] # readPrec :: ReadPrec EquipmentDetection # readListPrec :: ReadPrec [EquipmentDetection] #
Show EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods showsPrec :: Int -> EquipmentDetection -> ShowS # show :: EquipmentDetection -> String # showList :: [EquipmentDetection] -> ShowS #
NFData EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods rnf :: EquipmentDetection -> () #
Eq EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods (==) :: EquipmentDetection -> EquipmentDetection -> Bool # (/=) :: EquipmentDetection -> EquipmentDetection -> Bool #
Hashable EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods hashWithSalt :: Int -> EquipmentDetection -> Int # hash :: EquipmentDetection -> Int #
type Rep EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection type Rep EquipmentDetection = D1 ('MetaData "EquipmentDetection" "Amazonka.Rekognition.Types.EquipmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "EquipmentDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "coversBodyPart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CoversBodyPart)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProtectiveEquipmentType)))))

newEquipmentDetection :: EquipmentDetection Source #

Create a value of EquipmentDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:EquipmentDetection', equipmentDetection_boundingBox - A bounding box surrounding the item of detected PPE.

EquipmentDetection, equipmentDetection_confidence - The confidence that Amazon Rekognition has that the bounding box (BoundingBox) contains an item of PPE.

$sel:coversBodyPart:EquipmentDetection', equipmentDetection_coversBodyPart - Information about the body part covered by the detected PPE.

$sel:type':EquipmentDetection', equipmentDetection_type - The type of detected PPE.

EvaluationResult

data EvaluationResult Source #

The evaluation results for the training of a model.

See: newEvaluationResult smart constructor.

Constructors

EvaluationResult' (Maybe Double) (Maybe Summary)

Instances

Instances details

FromJSON EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods parseJSON :: Value -> Parser EvaluationResult # parseJSONList :: Value -> Parser [EvaluationResult] #
Generic EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Associated Types type Rep EvaluationResult :: Type -> Type # Methods from :: EvaluationResult -> Rep EvaluationResult x # to :: Rep EvaluationResult x -> EvaluationResult #
Read EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods readsPrec :: Int -> ReadS EvaluationResult # readList :: ReadS [EvaluationResult] # readPrec :: ReadPrec EvaluationResult # readListPrec :: ReadPrec [EvaluationResult] #
Show EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods showsPrec :: Int -> EvaluationResult -> ShowS # show :: EvaluationResult -> String # showList :: [EvaluationResult] -> ShowS #
NFData EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods rnf :: EvaluationResult -> () #
Eq EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods (==) :: EvaluationResult -> EvaluationResult -> Bool # (/=) :: EvaluationResult -> EvaluationResult -> Bool #
Hashable EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods hashWithSalt :: Int -> EvaluationResult -> Int # hash :: EvaluationResult -> Int #
type Rep EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult type Rep EvaluationResult = D1 ('MetaData "EvaluationResult" "Amazonka.Rekognition.Types.EvaluationResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "EvaluationResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "f1Score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "summary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Summary))))

newEvaluationResult :: EvaluationResult Source #

Create a value of EvaluationResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:f1Score:EvaluationResult', evaluationResult_f1Score - The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.

$sel:summary:EvaluationResult', evaluationResult_summary - The S3 bucket that contains the training summary.

EyeOpen

data EyeOpen Source #

Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

See: newEyeOpen smart constructor.

Constructors

EyeOpen' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods parseJSON :: Value -> Parser EyeOpen # parseJSONList :: Value -> Parser [EyeOpen] #
Generic EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Associated Types type Rep EyeOpen :: Type -> Type # Methods from :: EyeOpen -> Rep EyeOpen x # to :: Rep EyeOpen x -> EyeOpen #
Read EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods readsPrec :: Int -> ReadS EyeOpen # readList :: ReadS [EyeOpen] # readPrec :: ReadPrec EyeOpen # readListPrec :: ReadPrec [EyeOpen] #
Show EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods showsPrec :: Int -> EyeOpen -> ShowS # show :: EyeOpen -> String # showList :: [EyeOpen] -> ShowS #
NFData EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods rnf :: EyeOpen -> () #
Eq EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods (==) :: EyeOpen -> EyeOpen -> Bool # (/=) :: EyeOpen -> EyeOpen -> Bool #
Hashable EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods hashWithSalt :: Int -> EyeOpen -> Int # hash :: EyeOpen -> Int #
type Rep EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen type Rep EyeOpen = D1 ('MetaData "EyeOpen" "Amazonka.Rekognition.Types.EyeOpen" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "EyeOpen'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newEyeOpen :: EyeOpen Source #

Create a value of EyeOpen with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:EyeOpen', eyeOpen_confidence - Level of confidence in the determination.

$sel:value:EyeOpen', eyeOpen_value - Boolean value that indicates whether the eyes on the face are open.

Eyeglasses

data Eyeglasses Source #

Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

See: newEyeglasses smart constructor.

Constructors

Eyeglasses' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods parseJSON :: Value -> Parser Eyeglasses # parseJSONList :: Value -> Parser [Eyeglasses] #
Generic Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Associated Types type Rep Eyeglasses :: Type -> Type # Methods from :: Eyeglasses -> Rep Eyeglasses x # to :: Rep Eyeglasses x -> Eyeglasses #
Read Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods readsPrec :: Int -> ReadS Eyeglasses # readList :: ReadS [Eyeglasses] # readPrec :: ReadPrec Eyeglasses # readListPrec :: ReadPrec [Eyeglasses] #
Show Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods showsPrec :: Int -> Eyeglasses -> ShowS # show :: Eyeglasses -> String # showList :: [Eyeglasses] -> ShowS #
NFData Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods rnf :: Eyeglasses -> () #
Eq Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods (==) :: Eyeglasses -> Eyeglasses -> Bool # (/=) :: Eyeglasses -> Eyeglasses -> Bool #
Hashable Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods hashWithSalt :: Int -> Eyeglasses -> Int # hash :: Eyeglasses -> Int #
type Rep Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses type Rep Eyeglasses = D1 ('MetaData "Eyeglasses" "Amazonka.Rekognition.Types.Eyeglasses" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Eyeglasses'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newEyeglasses :: Eyeglasses Source #

Create a value of Eyeglasses with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Eyeglasses', eyeglasses_confidence - Level of confidence in the determination.

$sel:value:Eyeglasses', eyeglasses_value - Boolean value that indicates whether the face is wearing eye glasses or not.

Face

data Face Source #

Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.

See: newFace smart constructor.

Constructors

Face' (Maybe BoundingBox) (Maybe Double) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods parseJSON :: Value -> Parser Face # parseJSONList :: Value -> Parser [Face] #
Generic Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Associated Types type Rep Face :: Type -> Type # Methods from :: Face -> Rep Face x # to :: Rep Face x -> Face #
Read Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods readsPrec :: Int -> ReadS Face # readList :: ReadS [Face] # readPrec :: ReadPrec Face # readListPrec :: ReadPrec [Face] #
Show Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods showsPrec :: Int -> Face -> ShowS # show :: Face -> String # showList :: [Face] -> ShowS #
NFData Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods rnf :: Face -> () #
Eq Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods (==) :: Face -> Face -> Bool # (/=) :: Face -> Face -> Bool #
Hashable Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods hashWithSalt :: Int -> Face -> Int # hash :: Face -> Int #
type Rep Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face type Rep Face = D1 ('MetaData "Face" "Amazonka.Rekognition.Types.Face" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Face'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "externalImageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "faceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "imageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "indexFacesModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFace :: Face Source #

Create a value of Face with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:Face', face_boundingBox - Bounding box of the face.

$sel:confidence:Face', face_confidence - Confidence level that the bounding box contains a face (and not a different object such as a tree).

$sel:externalImageId:Face', face_externalImageId - Identifier that you assign to all the faces in the input image.

$sel:faceId:Face', face_faceId - Unique identifier that Amazon Rekognition assigns to the face.

$sel:imageId:Face', face_imageId - Unique identifier that Amazon Rekognition assigns to the input image.

$sel:indexFacesModelVersion:Face', face_indexFacesModelVersion - The version of the face detect and storage model that was used when indexing the face vector.

FaceDetail

data FaceDetail Source #

Structure containing attributes of the face that the algorithm detected.

A FaceDetail object contains either the default facial attributes or all facial attributes. The default attributes are BoundingBox, Confidence, Landmarks, Pose, and Quality.

GetFaceDetection is the only Amazon Rekognition Video stored video operation that can return a FaceDetail object with all attributes. To specify which attributes to return, use the FaceAttributes input parameter for StartFaceDetection. The following Amazon Rekognition Video operations return only the default attributes. The corresponding Start operations don't have a FaceAttributes input parameter:

GetCelebrityRecognition
GetPersonTracking
GetFaceSearch

The Amazon Rekognition Image DetectFaces and IndexFaces operations can return all facial attributes. To specify which attributes to return, use the Attributes input parameter for DetectFaces. For IndexFaces, use the DetectAttributes input parameter.

See: newFaceDetail smart constructor.

Constructors

FaceDetail' (Maybe AgeRange) (Maybe Beard) (Maybe BoundingBox) (Maybe Double) (Maybe [Emotion]) (Maybe Eyeglasses) (Maybe EyeOpen) (Maybe Gender) (Maybe [Landmark]) (Maybe MouthOpen) (Maybe Mustache) (Maybe Pose) (Maybe ImageQuality) (Maybe Smile) (Maybe Sunglasses)

Instances

Instances details

FromJSON FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods parseJSON :: Value -> Parser FaceDetail # parseJSONList :: Value -> Parser [FaceDetail] #
Generic FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Associated Types type Rep FaceDetail :: Type -> Type # Methods from :: FaceDetail -> Rep FaceDetail x # to :: Rep FaceDetail x -> FaceDetail #
Read FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods readsPrec :: Int -> ReadS FaceDetail # readList :: ReadS [FaceDetail] # readPrec :: ReadPrec FaceDetail # readListPrec :: ReadPrec [FaceDetail] #
Show FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods showsPrec :: Int -> FaceDetail -> ShowS # show :: FaceDetail -> String # showList :: [FaceDetail] -> ShowS #
NFData FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods rnf :: FaceDetail -> () #
Eq FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods (==) :: FaceDetail -> FaceDetail -> Bool # (/=) :: FaceDetail -> FaceDetail -> Bool #
Hashable FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods hashWithSalt :: Int -> FaceDetail -> Int # hash :: FaceDetail -> Int #
type Rep FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail type Rep FaceDetail = D1 ('MetaData "FaceDetail" "Amazonka.Rekognition.Types.FaceDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceDetail'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "ageRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AgeRange)) :: (S1 ('MetaSel ('Just "beard") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Beard)) :: S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)))) :: ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion]))) :: (S1 ('MetaSel ('Just "eyeglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Eyeglasses)) :: S1 ('MetaSel ('Just "eyesOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EyeOpen))))) :: (((S1 ('MetaSel ('Just "gender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Gender)) :: S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark]))) :: (S1 ('MetaSel ('Just "mouthOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MouthOpen)) :: S1 ('MetaSel ('Just "mustache") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Mustache)))) :: ((S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose)) :: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality))) :: (S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile)) :: S1 ('MetaSel ('Just "sunglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Sunglasses)))))))

newFaceDetail :: FaceDetail Source #

Create a value of FaceDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:ageRange:FaceDetail', faceDetail_ageRange - The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.

$sel:beard:FaceDetail', faceDetail_beard - Indicates whether or not the face has a beard, and the confidence level in the determination.

$sel:boundingBox:FaceDetail', faceDetail_boundingBox - Bounding box of the face. Default attribute.

FaceDetail, faceDetail_confidence - Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.

$sel:emotions:FaceDetail', faceDetail_emotions - The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.

$sel:eyeglasses:FaceDetail', faceDetail_eyeglasses - Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

$sel:eyesOpen:FaceDetail', faceDetail_eyesOpen - Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

$sel:gender:FaceDetail', faceDetail_gender - The predicted gender of a detected face.

$sel:landmarks:FaceDetail', faceDetail_landmarks - Indicates the location of landmarks on the face. Default attribute.

$sel:mouthOpen:FaceDetail', faceDetail_mouthOpen - Indicates whether or not the mouth on the face is open, and the confidence level in the determination.

$sel:mustache:FaceDetail', faceDetail_mustache - Indicates whether or not the face has a mustache, and the confidence level in the determination.

$sel:pose:FaceDetail', faceDetail_pose - Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.

$sel:quality:FaceDetail', faceDetail_quality - Identifies image brightness and sharpness. Default attribute.

$sel:smile:FaceDetail', faceDetail_smile - Indicates whether or not the face is smiling, and the confidence level in the determination.

$sel:sunglasses:FaceDetail', faceDetail_sunglasses - Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

FaceDetection

data FaceDetection Source #

Information about a face detected in a video analysis request and the time the face was detected in the video.

See: newFaceDetection smart constructor.

Constructors

FaceDetection' (Maybe FaceDetail) (Maybe Integer)

Instances

Instances details

FromJSON FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods parseJSON :: Value -> Parser FaceDetection # parseJSONList :: Value -> Parser [FaceDetection] #
Generic FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Associated Types type Rep FaceDetection :: Type -> Type # Methods from :: FaceDetection -> Rep FaceDetection x # to :: Rep FaceDetection x -> FaceDetection #
Read FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods readsPrec :: Int -> ReadS FaceDetection # readList :: ReadS [FaceDetection] # readPrec :: ReadPrec FaceDetection # readListPrec :: ReadPrec [FaceDetection] #
Show FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods showsPrec :: Int -> FaceDetection -> ShowS # show :: FaceDetection -> String # showList :: [FaceDetection] -> ShowS #
NFData FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods rnf :: FaceDetection -> () #
Eq FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods (==) :: FaceDetection -> FaceDetection -> Bool # (/=) :: FaceDetection -> FaceDetection -> Bool #
Hashable FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods hashWithSalt :: Int -> FaceDetection -> Int # hash :: FaceDetection -> Int #
type Rep FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection type Rep FaceDetection = D1 ('MetaData "FaceDetection" "Amazonka.Rekognition.Types.FaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newFaceDetection :: FaceDetection Source #

Create a value of FaceDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:face:FaceDetection', faceDetection_face - The face properties for the detected face.

$sel:timestamp:FaceDetection', faceDetection_timestamp - Time, in milliseconds from the start of the video, that the face was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the face first appears.

FaceMatch

data FaceMatch Source #

Provides face metadata. In addition, it also provides the confidence in the match of this face with the input face.

See: newFaceMatch smart constructor.

Constructors

FaceMatch' (Maybe Face) (Maybe Double)

Instances

Instances details

FromJSON FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods parseJSON :: Value -> Parser FaceMatch # parseJSONList :: Value -> Parser [FaceMatch] #
Generic FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Associated Types type Rep FaceMatch :: Type -> Type # Methods from :: FaceMatch -> Rep FaceMatch x # to :: Rep FaceMatch x -> FaceMatch #
Read FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods readsPrec :: Int -> ReadS FaceMatch # readList :: ReadS [FaceMatch] # readPrec :: ReadPrec FaceMatch # readListPrec :: ReadPrec [FaceMatch] #
Show FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods showsPrec :: Int -> FaceMatch -> ShowS # show :: FaceMatch -> String # showList :: [FaceMatch] -> ShowS #
NFData FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods rnf :: FaceMatch -> () #
Eq FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods (==) :: FaceMatch -> FaceMatch -> Bool # (/=) :: FaceMatch -> FaceMatch -> Bool #
Hashable FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods hashWithSalt :: Int -> FaceMatch -> Int # hash :: FaceMatch -> Int #
type Rep FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch type Rep FaceMatch = D1 ('MetaData "FaceMatch" "Amazonka.Rekognition.Types.FaceMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face)) :*: S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newFaceMatch :: FaceMatch Source #

Create a value of FaceMatch with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:face:FaceMatch', faceMatch_face - Describes the face properties such as the bounding box, face ID, image ID of the source image, and external image ID that you assigned.

$sel:similarity:FaceMatch', faceMatch_similarity - Confidence in the match of this face with the input face.

FaceRecord

data FaceRecord Source #

Object containing both the face metadata (stored in the backend database), and facial attributes that are detected but aren't stored in the database.

See: newFaceRecord smart constructor.

Constructors

FaceRecord' (Maybe Face) (Maybe FaceDetail)

Instances

Instances details

FromJSON FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods parseJSON :: Value -> Parser FaceRecord # parseJSONList :: Value -> Parser [FaceRecord] #
Generic FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Associated Types type Rep FaceRecord :: Type -> Type # Methods from :: FaceRecord -> Rep FaceRecord x # to :: Rep FaceRecord x -> FaceRecord #
Read FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods readsPrec :: Int -> ReadS FaceRecord # readList :: ReadS [FaceRecord] # readPrec :: ReadPrec FaceRecord # readListPrec :: ReadPrec [FaceRecord] #
Show FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods showsPrec :: Int -> FaceRecord -> ShowS # show :: FaceRecord -> String # showList :: [FaceRecord] -> ShowS #
NFData FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods rnf :: FaceRecord -> () #
Eq FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods (==) :: FaceRecord -> FaceRecord -> Bool # (/=) :: FaceRecord -> FaceRecord -> Bool #
Hashable FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods hashWithSalt :: Int -> FaceRecord -> Int # hash :: FaceRecord -> Int #
type Rep FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord type Rep FaceRecord = D1 ('MetaData "FaceRecord" "Amazonka.Rekognition.Types.FaceRecord" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceRecord'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face)) :*: S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail))))

newFaceRecord :: FaceRecord Source #

Create a value of FaceRecord with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:face:FaceRecord', faceRecord_face - Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.

$sel:faceDetail:FaceRecord', faceRecord_faceDetail - Structure containing attributes of the face that the algorithm detected.

FaceSearchSettings

data FaceSearchSettings Source #

Input face recognition parameters for an Amazon Rekognition stream processor. Includes the collection to use for face recognition and the face attributes to detect. Defining the settings is required in the request parameter for CreateStreamProcessor.

See: newFaceSearchSettings smart constructor.

Constructors

FaceSearchSettings' (Maybe Text) (Maybe Double)

Instances

Instances details

FromJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods parseJSON :: Value -> Parser FaceSearchSettings # parseJSONList :: Value -> Parser [FaceSearchSettings] #
ToJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods toJSON :: FaceSearchSettings -> Value # toEncoding :: FaceSearchSettings -> Encoding # toJSONList :: [FaceSearchSettings] -> Value # toEncodingList :: [FaceSearchSettings] -> Encoding #
Generic FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Associated Types type Rep FaceSearchSettings :: Type -> Type # Methods from :: FaceSearchSettings -> Rep FaceSearchSettings x # to :: Rep FaceSearchSettings x -> FaceSearchSettings #
Read FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods readsPrec :: Int -> ReadS FaceSearchSettings # readList :: ReadS [FaceSearchSettings] # readPrec :: ReadPrec FaceSearchSettings # readListPrec :: ReadPrec [FaceSearchSettings] #
Show FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods showsPrec :: Int -> FaceSearchSettings -> ShowS # show :: FaceSearchSettings -> String # showList :: [FaceSearchSettings] -> ShowS #
NFData FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods rnf :: FaceSearchSettings -> () #
Eq FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods (==) :: FaceSearchSettings -> FaceSearchSettings -> Bool # (/=) :: FaceSearchSettings -> FaceSearchSettings -> Bool #
Hashable FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods hashWithSalt :: Int -> FaceSearchSettings -> Int # hash :: FaceSearchSettings -> Int #
type Rep FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings type Rep FaceSearchSettings = D1 ('MetaData "FaceSearchSettings" "Amazonka.Rekognition.Types.FaceSearchSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceSearchSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newFaceSearchSettings :: FaceSearchSettings Source #

Create a value of FaceSearchSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionId:FaceSearchSettings', faceSearchSettings_collectionId - The ID of a collection that contains faces that you want to search for.

$sel:faceMatchThreshold:FaceSearchSettings', faceSearchSettings_faceMatchThreshold - Minimum face match confidence score that must be met to return a result for a recognized face. The default is 80. 0 is the lowest confidence. 100 is the highest confidence. Values between 0 and 100 are accepted, and values lower than 80 are set to 80.

Gender

data Gender Source #

The predicted gender of a detected face.

Amazon Rekognition makes gender binary (male/female) predictions based on the physical appearance of a face in a particular image. This kind of prediction is not designed to categorize a person’s gender identity, and you shouldn't use Amazon Rekognition to make such a determination. For example, a male actor wearing a long-haired wig and earrings for a role might be predicted as female.

Using Amazon Rekognition to make gender binary predictions is best suited for use cases where aggregate gender distribution statistics need to be analyzed without identifying specific users. For example, the percentage of female users compared to male users on a social media platform.

We don't recommend using gender binary predictions to make decisions that impact an individual's rights, privacy, or access to services.

See: newGender smart constructor.

Constructors

Gender' (Maybe Double) (Maybe GenderType)

Instances

Instances details

FromJSON Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods parseJSON :: Value -> Parser Gender # parseJSONList :: Value -> Parser [Gender] #
Generic Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Associated Types type Rep Gender :: Type -> Type # Methods from :: Gender -> Rep Gender x # to :: Rep Gender x -> Gender #
Read Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods readsPrec :: Int -> ReadS Gender # readList :: ReadS [Gender] # readPrec :: ReadPrec Gender # readListPrec :: ReadPrec [Gender] #
Show Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods showsPrec :: Int -> Gender -> ShowS # show :: Gender -> String # showList :: [Gender] -> ShowS #
NFData Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods rnf :: Gender -> () #
Eq Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods (==) :: Gender -> Gender -> Bool # (/=) :: Gender -> Gender -> Bool #
Hashable Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods hashWithSalt :: Int -> Gender -> Int # hash :: Gender -> Int #
type Rep Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender type Rep Gender = D1 ('MetaData "Gender" "Amazonka.Rekognition.Types.Gender" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Gender'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GenderType))))

newGender :: Gender Source #

Create a value of Gender with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Gender', gender_confidence - Level of confidence in the prediction.

$sel:value:Gender', gender_value - The predicted gender of the face.

GeneralLabelsSettings

data GeneralLabelsSettings Source #

Contains filters for the object labels returned by DetectLabels. Filters can be inclusive, exclusive, or a combination of both and can be applied to individual l abels or entire label categories.

See: newGeneralLabelsSettings smart constructor.

Constructors

GeneralLabelsSettings' (Maybe [Text]) (Maybe [Text]) (Maybe [Text]) (Maybe [Text])

Instances

Instances details

ToJSON GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods toJSON :: GeneralLabelsSettings -> Value # toEncoding :: GeneralLabelsSettings -> Encoding # toJSONList :: [GeneralLabelsSettings] -> Value # toEncodingList :: [GeneralLabelsSettings] -> Encoding #
Generic GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Associated Types type Rep GeneralLabelsSettings :: Type -> Type # Methods from :: GeneralLabelsSettings -> Rep GeneralLabelsSettings x # to :: Rep GeneralLabelsSettings x -> GeneralLabelsSettings #
Read GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods readsPrec :: Int -> ReadS GeneralLabelsSettings # readList :: ReadS [GeneralLabelsSettings] # readPrec :: ReadPrec GeneralLabelsSettings # readListPrec :: ReadPrec [GeneralLabelsSettings] #
Show GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods showsPrec :: Int -> GeneralLabelsSettings -> ShowS # show :: GeneralLabelsSettings -> String # showList :: [GeneralLabelsSettings] -> ShowS #
NFData GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods rnf :: GeneralLabelsSettings -> () #
Eq GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods (==) :: GeneralLabelsSettings -> GeneralLabelsSettings -> Bool # (/=) :: GeneralLabelsSettings -> GeneralLabelsSettings -> Bool #
Hashable GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods hashWithSalt :: Int -> GeneralLabelsSettings -> Int # hash :: GeneralLabelsSettings -> Int #
type Rep GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings type Rep GeneralLabelsSettings = D1 ('MetaData "GeneralLabelsSettings" "Amazonka.Rekognition.Types.GeneralLabelsSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GeneralLabelsSettings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "labelCategoryExclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "labelCategoryInclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "labelExclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "labelInclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newGeneralLabelsSettings :: GeneralLabelsSettings Source #

Create a value of GeneralLabelsSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labelCategoryExclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelCategoryExclusionFilters - The label categories that should be excluded from the return from DetectLabels.

$sel:labelCategoryInclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelCategoryInclusionFilters - The label categories that should be included in the return from DetectLabels.

$sel:labelExclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelExclusionFilters - The labels that should be excluded from the return from DetectLabels.

$sel:labelInclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelInclusionFilters - The labels that should be included in the return from DetectLabels.

Geometry

data Geometry Source #

Information about where an object (DetectCustomLabels) or text (DetectText) is located on an image.

See: newGeometry smart constructor.

Constructors

Geometry' (Maybe BoundingBox) (Maybe [Point])

Instances

Instances details

FromJSON Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods parseJSON :: Value -> Parser Geometry # parseJSONList :: Value -> Parser [Geometry] #
Generic Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Associated Types type Rep Geometry :: Type -> Type # Methods from :: Geometry -> Rep Geometry x # to :: Rep Geometry x -> Geometry #
Read Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods readsPrec :: Int -> ReadS Geometry # readList :: ReadS [Geometry] # readPrec :: ReadPrec Geometry # readListPrec :: ReadPrec [Geometry] #
Show Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods showsPrec :: Int -> Geometry -> ShowS # show :: Geometry -> String # showList :: [Geometry] -> ShowS #
NFData Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods rnf :: Geometry -> () #
Eq Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods (==) :: Geometry -> Geometry -> Bool # (/=) :: Geometry -> Geometry -> Bool #
Hashable Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods hashWithSalt :: Int -> Geometry -> Int # hash :: Geometry -> Int #
type Rep Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry type Rep Geometry = D1 ('MetaData "Geometry" "Amazonka.Rekognition.Types.Geometry" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Geometry'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "polygon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Point]))))

newGeometry :: Geometry Source #

Create a value of Geometry with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:Geometry', geometry_boundingBox - An axis-aligned coarse representation of the detected item's location on the image.

$sel:polygon:Geometry', geometry_polygon - Within the bounding box, a fine-grained polygon around the detected item.

GroundTruthManifest

data GroundTruthManifest Source #

The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.

See: newGroundTruthManifest smart constructor.

Constructors

GroundTruthManifest' (Maybe S3Object)

Instances

Instances details

FromJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods parseJSON :: Value -> Parser GroundTruthManifest # parseJSONList :: Value -> Parser [GroundTruthManifest] #
ToJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods toJSON :: GroundTruthManifest -> Value # toEncoding :: GroundTruthManifest -> Encoding # toJSONList :: [GroundTruthManifest] -> Value # toEncodingList :: [GroundTruthManifest] -> Encoding #
Generic GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Associated Types type Rep GroundTruthManifest :: Type -> Type # Methods from :: GroundTruthManifest -> Rep GroundTruthManifest x # to :: Rep GroundTruthManifest x -> GroundTruthManifest #
Read GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods readsPrec :: Int -> ReadS GroundTruthManifest # readList :: ReadS [GroundTruthManifest] # readPrec :: ReadPrec GroundTruthManifest # readListPrec :: ReadPrec [GroundTruthManifest] #
Show GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods showsPrec :: Int -> GroundTruthManifest -> ShowS # show :: GroundTruthManifest -> String # showList :: [GroundTruthManifest] -> ShowS #
NFData GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods rnf :: GroundTruthManifest -> () #
Eq GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods (==) :: GroundTruthManifest -> GroundTruthManifest -> Bool # (/=) :: GroundTruthManifest -> GroundTruthManifest -> Bool #
Hashable GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods hashWithSalt :: Int -> GroundTruthManifest -> Int # hash :: GroundTruthManifest -> Int #
type Rep GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest type Rep GroundTruthManifest = D1 ('MetaData "GroundTruthManifest" "Amazonka.Rekognition.Types.GroundTruthManifest" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GroundTruthManifest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newGroundTruthManifest :: GroundTruthManifest Source #

Create a value of GroundTruthManifest with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Object:GroundTruthManifest', groundTruthManifest_s3Object - Undocumented member.

HumanLoopActivationOutput

data HumanLoopActivationOutput Source #

Shows the results of the human in the loop evaluation. If there is no HumanLoopArn, the input did not trigger human review.

See: newHumanLoopActivationOutput smart constructor.

Constructors

HumanLoopActivationOutput' (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Text)

Instances

Instances details

FromJSON HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods parseJSON :: Value -> Parser HumanLoopActivationOutput # parseJSONList :: Value -> Parser [HumanLoopActivationOutput] #
Generic HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Associated Types type Rep HumanLoopActivationOutput :: Type -> Type # Methods from :: HumanLoopActivationOutput -> Rep HumanLoopActivationOutput x # to :: Rep HumanLoopActivationOutput x -> HumanLoopActivationOutput #
Read HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods readsPrec :: Int -> ReadS HumanLoopActivationOutput # readList :: ReadS [HumanLoopActivationOutput] # readPrec :: ReadPrec HumanLoopActivationOutput # readListPrec :: ReadPrec [HumanLoopActivationOutput] #
Show HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods showsPrec :: Int -> HumanLoopActivationOutput -> ShowS # show :: HumanLoopActivationOutput -> String # showList :: [HumanLoopActivationOutput] -> ShowS #
NFData HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods rnf :: HumanLoopActivationOutput -> () #
Eq HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods (==) :: HumanLoopActivationOutput -> HumanLoopActivationOutput -> Bool # (/=) :: HumanLoopActivationOutput -> HumanLoopActivationOutput -> Bool #
Hashable HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods hashWithSalt :: Int -> HumanLoopActivationOutput -> Int # hash :: HumanLoopActivationOutput -> Int #
type Rep HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput type Rep HumanLoopActivationOutput = D1 ('MetaData "HumanLoopActivationOutput" "Amazonka.Rekognition.Types.HumanLoopActivationOutput" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopActivationOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationConditionsEvaluationResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "humanLoopActivationReasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "humanLoopArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newHumanLoopActivationOutput :: HumanLoopActivationOutput Source #

Create a value of HumanLoopActivationOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationConditionsEvaluationResults:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopActivationConditionsEvaluationResults - Shows the result of condition evaluations, including those conditions which activated a human review.

$sel:humanLoopActivationReasons:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopActivationReasons - Shows if and why human review was needed.

$sel:humanLoopArn:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopArn - The Amazon Resource Name (ARN) of the HumanLoop created.

HumanLoopConfig

data HumanLoopConfig Source #

Sets up the flow definition the image will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.

See: newHumanLoopConfig smart constructor.

Constructors

HumanLoopConfig' (Maybe HumanLoopDataAttributes) Text Text

Instances

Instances details

ToJSON HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods toJSON :: HumanLoopConfig -> Value # toEncoding :: HumanLoopConfig -> Encoding # toJSONList :: [HumanLoopConfig] -> Value # toEncodingList :: [HumanLoopConfig] -> Encoding #
Generic HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Associated Types type Rep HumanLoopConfig :: Type -> Type # Methods from :: HumanLoopConfig -> Rep HumanLoopConfig x # to :: Rep HumanLoopConfig x -> HumanLoopConfig #
Read HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods readsPrec :: Int -> ReadS HumanLoopConfig # readList :: ReadS [HumanLoopConfig] # readPrec :: ReadPrec HumanLoopConfig # readListPrec :: ReadPrec [HumanLoopConfig] #
Show HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods showsPrec :: Int -> HumanLoopConfig -> ShowS # show :: HumanLoopConfig -> String # showList :: [HumanLoopConfig] -> ShowS #
NFData HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods rnf :: HumanLoopConfig -> () #
Eq HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods (==) :: HumanLoopConfig -> HumanLoopConfig -> Bool # (/=) :: HumanLoopConfig -> HumanLoopConfig -> Bool #
Hashable HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods hashWithSalt :: Int -> HumanLoopConfig -> Int # hash :: HumanLoopConfig -> Int #
type Rep HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig type Rep HumanLoopConfig = D1 ('MetaData "HumanLoopConfig" "Amazonka.Rekognition.Types.HumanLoopConfig" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopDataAttributes)) :: (S1 ('MetaSel ('Just "humanLoopName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "flowDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newHumanLoopConfig Source #

Arguments

:: Text	`$sel:humanLoopName:HumanLoopConfig'`
-> Text	`$sel:flowDefinitionArn:HumanLoopConfig'`
-> HumanLoopConfig

Create a value of HumanLoopConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataAttributes:HumanLoopConfig', humanLoopConfig_dataAttributes - Sets attributes of the input data.

$sel:humanLoopName:HumanLoopConfig', humanLoopConfig_humanLoopName - The name of the human review used for this image. This should be kept unique within a region.

$sel:flowDefinitionArn:HumanLoopConfig', humanLoopConfig_flowDefinitionArn - The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.

HumanLoopDataAttributes

data HumanLoopDataAttributes Source #

Allows you to set attributes of the image. Currently, you can declare an image as free of personally identifiable information.

See: newHumanLoopDataAttributes smart constructor.

Constructors

HumanLoopDataAttributes' (Maybe [ContentClassifier])

Instances

Instances details

ToJSON HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods toJSON :: HumanLoopDataAttributes -> Value # toEncoding :: HumanLoopDataAttributes -> Encoding # toJSONList :: [HumanLoopDataAttributes] -> Value # toEncodingList :: [HumanLoopDataAttributes] -> Encoding #
Generic HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Associated Types type Rep HumanLoopDataAttributes :: Type -> Type # Methods from :: HumanLoopDataAttributes -> Rep HumanLoopDataAttributes x # to :: Rep HumanLoopDataAttributes x -> HumanLoopDataAttributes #
Read HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods readsPrec :: Int -> ReadS HumanLoopDataAttributes # readList :: ReadS [HumanLoopDataAttributes] # readPrec :: ReadPrec HumanLoopDataAttributes # readListPrec :: ReadPrec [HumanLoopDataAttributes] #
Show HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods showsPrec :: Int -> HumanLoopDataAttributes -> ShowS # show :: HumanLoopDataAttributes -> String # showList :: [HumanLoopDataAttributes] -> ShowS #
NFData HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods rnf :: HumanLoopDataAttributes -> () #
Eq HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods (==) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool # (/=) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool #
Hashable HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods hashWithSalt :: Int -> HumanLoopDataAttributes -> Int # hash :: HumanLoopDataAttributes -> Int #
type Rep HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes type Rep HumanLoopDataAttributes = D1 ('MetaData "HumanLoopDataAttributes" "Amazonka.Rekognition.Types.HumanLoopDataAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentClassifier]))))

newHumanLoopDataAttributes :: HumanLoopDataAttributes Source #

Create a value of HumanLoopDataAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentClassifiers:HumanLoopDataAttributes', humanLoopDataAttributes_contentClassifiers - Sets whether the input image is free of personally identifiable information.

Image

data Image Source #

Provides the input image either as bytes or an S3 object.

You pass image bytes to an Amazon Rekognition API operation by using the Bytes property. For example, you would use the Bytes property to pass an image loaded from a local file system. Image bytes passed by using the Bytes property must be base64-encoded. Your code may not need to encode image bytes if you are using an AWS SDK to call Amazon Rekognition API operations.

For more information, see Analyzing an Image Loaded from a Local File System in the Amazon Rekognition Developer Guide.

You pass images stored in an S3 bucket to an Amazon Rekognition API operation by using the S3Object property. Images stored in an S3 bucket do not need to be base64-encoded.

The region for the S3 bucket containing the S3 object must match the region you use for Amazon Rekognition operations.

If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes using the Bytes property is not supported. You must first upload the image to an Amazon S3 bucket and then call the operation using the S3Object property.

For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. For more information, see How Amazon Rekognition works with IAM in the Amazon Rekognition Developer Guide.

See: newImage smart constructor.

Constructors

Image' (Maybe Base64) (Maybe S3Object)

Instances

Instances details

ToJSON Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods toJSON :: Image -> Value # toEncoding :: Image -> Encoding # toJSONList :: [Image] -> Value # toEncodingList :: [Image] -> Encoding #
Generic Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Associated Types type Rep Image :: Type -> Type # Methods from :: Image -> Rep Image x # to :: Rep Image x -> Image #
Read Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods readsPrec :: Int -> ReadS Image # readList :: ReadS [Image] # readPrec :: ReadPrec Image # readListPrec :: ReadPrec [Image] #
Show Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods showsPrec :: Int -> Image -> ShowS # show :: Image -> String # showList :: [Image] -> ShowS #
NFData Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods rnf :: Image -> () #
Eq Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods (==) :: Image -> Image -> Bool # (/=) :: Image -> Image -> Bool #
Hashable Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods hashWithSalt :: Int -> Image -> Int # hash :: Image -> Int #
type Rep Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image type Rep Image = D1 ('MetaData "Image" "Amazonka.Rekognition.Types.Image" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Image'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bytes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Base64)) :*: S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newImage :: Image Source #

Create a value of Image with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bytes:Image', image_bytes - Blob of image bytes up to 5 MBs.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

$sel:s3Object:Image', image_s3Object - Identifies an S3 object as the image source.

ImageQuality

data ImageQuality Source #

Identifies face image brightness and sharpness.

See: newImageQuality smart constructor.

Constructors

ImageQuality' (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods parseJSON :: Value -> Parser ImageQuality # parseJSONList :: Value -> Parser [ImageQuality] #
Generic ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Associated Types type Rep ImageQuality :: Type -> Type # Methods from :: ImageQuality -> Rep ImageQuality x # to :: Rep ImageQuality x -> ImageQuality #
Read ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods readsPrec :: Int -> ReadS ImageQuality # readList :: ReadS [ImageQuality] # readPrec :: ReadPrec ImageQuality # readListPrec :: ReadPrec [ImageQuality] #
Show ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods showsPrec :: Int -> ImageQuality -> ShowS # show :: ImageQuality -> String # showList :: [ImageQuality] -> ShowS #
NFData ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods rnf :: ImageQuality -> () #
Eq ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods (==) :: ImageQuality -> ImageQuality -> Bool # (/=) :: ImageQuality -> ImageQuality -> Bool #
Hashable ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods hashWithSalt :: Int -> ImageQuality -> Int # hash :: ImageQuality -> Int #
type Rep ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality type Rep ImageQuality = D1 ('MetaData "ImageQuality" "Amazonka.Rekognition.Types.ImageQuality" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ImageQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "brightness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "sharpness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newImageQuality :: ImageQuality Source #

Create a value of ImageQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:brightness:ImageQuality', imageQuality_brightness - Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image.

$sel:sharpness:ImageQuality', imageQuality_sharpness - Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.

Instance

data Instance Source #

An instance of a label returned by Amazon Rekognition Image (DetectLabels) or by Amazon Rekognition Video (GetLabelDetection).

See: newInstance smart constructor.

Constructors

Instance' (Maybe BoundingBox) (Maybe Double) (Maybe [DominantColor])

Instances

Instances details

FromJSON Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods parseJSON :: Value -> Parser Instance # parseJSONList :: Value -> Parser [Instance] #
Generic Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Associated Types type Rep Instance :: Type -> Type # Methods from :: Instance -> Rep Instance x # to :: Rep Instance x -> Instance #
Read Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods readsPrec :: Int -> ReadS Instance # readList :: ReadS [Instance] # readPrec :: ReadPrec Instance # readListPrec :: ReadPrec [Instance] #
Show Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods showsPrec :: Int -> Instance -> ShowS # show :: Instance -> String # showList :: [Instance] -> ShowS #
NFData Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods rnf :: Instance -> () #
Eq Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods (==) :: Instance -> Instance -> Bool # (/=) :: Instance -> Instance -> Bool #
Hashable Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods hashWithSalt :: Int -> Instance -> Int # hash :: Instance -> Int #
type Rep Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance type Rep Instance = D1 ('MetaData "Instance" "Amazonka.Rekognition.Types.Instance" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Instance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])))))

newInstance :: Instance Source #

Create a value of Instance with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:Instance', instance_boundingBox - The position of the label instance on the image.

$sel:confidence:Instance', instance_confidence - The confidence that Amazon Rekognition has in the accuracy of the bounding box.

$sel:dominantColors:Instance', instance_dominantColors - The dominant colors found in an individual instance of a label.

KinesisDataStream

data KinesisDataStream Source #

The Kinesis data stream Amazon Rekognition to which the analysis results of a Amazon Rekognition stream processor are streamed. For more information, see CreateStreamProcessor in the Amazon Rekognition Developer Guide.

See: newKinesisDataStream smart constructor.

Constructors

KinesisDataStream' (Maybe Text)

Instances

Instances details

FromJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods parseJSON :: Value -> Parser KinesisDataStream # parseJSONList :: Value -> Parser [KinesisDataStream] #
ToJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods toJSON :: KinesisDataStream -> Value # toEncoding :: KinesisDataStream -> Encoding # toJSONList :: [KinesisDataStream] -> Value # toEncodingList :: [KinesisDataStream] -> Encoding #
Generic KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Associated Types type Rep KinesisDataStream :: Type -> Type # Methods from :: KinesisDataStream -> Rep KinesisDataStream x # to :: Rep KinesisDataStream x -> KinesisDataStream #
Read KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods readsPrec :: Int -> ReadS KinesisDataStream # readList :: ReadS [KinesisDataStream] # readPrec :: ReadPrec KinesisDataStream # readListPrec :: ReadPrec [KinesisDataStream] #
Show KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods showsPrec :: Int -> KinesisDataStream -> ShowS # show :: KinesisDataStream -> String # showList :: [KinesisDataStream] -> ShowS #
NFData KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods rnf :: KinesisDataStream -> () #
Eq KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods (==) :: KinesisDataStream -> KinesisDataStream -> Bool # (/=) :: KinesisDataStream -> KinesisDataStream -> Bool #
Hashable KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods hashWithSalt :: Int -> KinesisDataStream -> Int # hash :: KinesisDataStream -> Int #
type Rep KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream type Rep KinesisDataStream = D1 ('MetaData "KinesisDataStream" "Amazonka.Rekognition.Types.KinesisDataStream" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisDataStream'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newKinesisDataStream :: KinesisDataStream Source #

Create a value of KinesisDataStream with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:KinesisDataStream', kinesisDataStream_arn - ARN of the output Amazon Kinesis Data Streams stream.

KinesisVideoStream

data KinesisVideoStream Source #

Kinesis video stream stream that provides the source streaming video for a Amazon Rekognition Video stream processor. For more information, see CreateStreamProcessor in the Amazon Rekognition Developer Guide.

See: newKinesisVideoStream smart constructor.

Constructors

KinesisVideoStream' (Maybe Text)

Instances

Instances details

FromJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods parseJSON :: Value -> Parser KinesisVideoStream # parseJSONList :: Value -> Parser [KinesisVideoStream] #
ToJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods toJSON :: KinesisVideoStream -> Value # toEncoding :: KinesisVideoStream -> Encoding # toJSONList :: [KinesisVideoStream] -> Value # toEncodingList :: [KinesisVideoStream] -> Encoding #
Generic KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Associated Types type Rep KinesisVideoStream :: Type -> Type # Methods from :: KinesisVideoStream -> Rep KinesisVideoStream x # to :: Rep KinesisVideoStream x -> KinesisVideoStream #
Read KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods readsPrec :: Int -> ReadS KinesisVideoStream # readList :: ReadS [KinesisVideoStream] # readPrec :: ReadPrec KinesisVideoStream # readListPrec :: ReadPrec [KinesisVideoStream] #
Show KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods showsPrec :: Int -> KinesisVideoStream -> ShowS # show :: KinesisVideoStream -> String # showList :: [KinesisVideoStream] -> ShowS #
NFData KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods rnf :: KinesisVideoStream -> () #
Eq KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods (==) :: KinesisVideoStream -> KinesisVideoStream -> Bool # (/=) :: KinesisVideoStream -> KinesisVideoStream -> Bool #
Hashable KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods hashWithSalt :: Int -> KinesisVideoStream -> Int # hash :: KinesisVideoStream -> Int #
type Rep KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream type Rep KinesisVideoStream = D1 ('MetaData "KinesisVideoStream" "Amazonka.Rekognition.Types.KinesisVideoStream" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisVideoStream'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newKinesisVideoStream :: KinesisVideoStream Source #

Create a value of KinesisVideoStream with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:KinesisVideoStream', kinesisVideoStream_arn - ARN of the Kinesis video stream stream that streams the source video.

KinesisVideoStreamStartSelector

data KinesisVideoStreamStartSelector Source #

Specifies the starting point in a Kinesis stream to start processing. You can use the producer timestamp or the fragment number. One of either producer timestamp or fragment number is required. If you use the producer timestamp, you must put the time in milliseconds. For more information about fragment numbers, see Fragment.

See: newKinesisVideoStreamStartSelector smart constructor.

Constructors

KinesisVideoStreamStartSelector' (Maybe Text) (Maybe Natural)

Instances

Instances details

ToJSON KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods toJSON :: KinesisVideoStreamStartSelector -> Value # toEncoding :: KinesisVideoStreamStartSelector -> Encoding # toJSONList :: [KinesisVideoStreamStartSelector] -> Value # toEncodingList :: [KinesisVideoStreamStartSelector] -> Encoding #
Generic KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Associated Types type Rep KinesisVideoStreamStartSelector :: Type -> Type # Methods from :: KinesisVideoStreamStartSelector -> Rep KinesisVideoStreamStartSelector x # to :: Rep KinesisVideoStreamStartSelector x -> KinesisVideoStreamStartSelector #
Read KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods readsPrec :: Int -> ReadS KinesisVideoStreamStartSelector # readList :: ReadS [KinesisVideoStreamStartSelector] # readPrec :: ReadPrec KinesisVideoStreamStartSelector # readListPrec :: ReadPrec [KinesisVideoStreamStartSelector] #
Show KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods showsPrec :: Int -> KinesisVideoStreamStartSelector -> ShowS # show :: KinesisVideoStreamStartSelector -> String # showList :: [KinesisVideoStreamStartSelector] -> ShowS #
NFData KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods rnf :: KinesisVideoStreamStartSelector -> () #
Eq KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods (==) :: KinesisVideoStreamStartSelector -> KinesisVideoStreamStartSelector -> Bool # (/=) :: KinesisVideoStreamStartSelector -> KinesisVideoStreamStartSelector -> Bool #
Hashable KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods hashWithSalt :: Int -> KinesisVideoStreamStartSelector -> Int # hash :: KinesisVideoStreamStartSelector -> Int #
type Rep KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector type Rep KinesisVideoStreamStartSelector = D1 ('MetaData "KinesisVideoStreamStartSelector" "Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisVideoStreamStartSelector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fragmentNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "producerTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newKinesisVideoStreamStartSelector :: KinesisVideoStreamStartSelector Source #

Create a value of KinesisVideoStreamStartSelector with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fragmentNumber:KinesisVideoStreamStartSelector', kinesisVideoStreamStartSelector_fragmentNumber - The unique identifier of the fragment. This value monotonically increases based on the ingestion order.

$sel:producerTimestamp:KinesisVideoStreamStartSelector', kinesisVideoStreamStartSelector_producerTimestamp - The timestamp from the producer corresponding to the fragment, in milliseconds, expressed in unix time format.

KnownGender

data KnownGender Source #

The known gender identity for the celebrity that matches the provided ID. The known gender identity can be Male, Female, Nonbinary, or Unlisted.

See: newKnownGender smart constructor.

Constructors

KnownGender' (Maybe KnownGenderType)

Instances

Instances details

FromJSON KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods parseJSON :: Value -> Parser KnownGender # parseJSONList :: Value -> Parser [KnownGender] #
Generic KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Associated Types type Rep KnownGender :: Type -> Type # Methods from :: KnownGender -> Rep KnownGender x # to :: Rep KnownGender x -> KnownGender #
Read KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods readsPrec :: Int -> ReadS KnownGender # readList :: ReadS [KnownGender] # readPrec :: ReadPrec KnownGender # readListPrec :: ReadPrec [KnownGender] #
Show KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods showsPrec :: Int -> KnownGender -> ShowS # show :: KnownGender -> String # showList :: [KnownGender] -> ShowS #
NFData KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods rnf :: KnownGender -> () #
Eq KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods (==) :: KnownGender -> KnownGender -> Bool # (/=) :: KnownGender -> KnownGender -> Bool #
Hashable KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods hashWithSalt :: Int -> KnownGender -> Int # hash :: KnownGender -> Int #
type Rep KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender type Rep KnownGender = D1 ('MetaData "KnownGender" "Amazonka.Rekognition.Types.KnownGender" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KnownGender'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KnownGenderType))))

newKnownGender :: KnownGender Source #

Create a value of KnownGender with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':KnownGender', knownGender_type - A string value of the KnownGender info about the Celebrity.

Label

data Label Source #

Structure containing details about the detected label, including the name, detected instances, parent labels, and level of confidence.

See: newLabel smart constructor.

Constructors

Label' (Maybe [LabelAlias]) (Maybe [LabelCategory]) (Maybe Double) (Maybe [Instance]) (Maybe Text) (Maybe [Parent])

Instances

Instances details

FromJSON Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods parseJSON :: Value -> Parser Label # parseJSONList :: Value -> Parser [Label] #
Generic Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Associated Types type Rep Label :: Type -> Type # Methods from :: Label -> Rep Label x # to :: Rep Label x -> Label #
Read Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods readsPrec :: Int -> ReadS Label # readList :: ReadS [Label] # readPrec :: ReadPrec Label # readListPrec :: ReadPrec [Label] #
Show Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods showsPrec :: Int -> Label -> ShowS # show :: Label -> String # showList :: [Label] -> ShowS #
NFData Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods rnf :: Label -> () #
Eq Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods (==) :: Label -> Label -> Bool # (/=) :: Label -> Label -> Bool #
Hashable Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods hashWithSalt :: Int -> Label -> Int # hash :: Label -> Int #
type Rep Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label type Rep Label = D1 ('MetaData "Label" "Amazonka.Rekognition.Types.Label" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Label'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "aliases") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelAlias])) :: (S1 ('MetaSel ('Just "categories") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelCategory])) :: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "instances") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Instance])) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "parents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parent]))))))

newLabel :: Label Source #

Create a value of Label with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:aliases:Label', label_aliases - A list of potential aliases for a given label.

$sel:categories:Label', label_categories - A list of the categories associated with a given label.

Label, label_confidence - Level of confidence.

$sel:instances:Label', label_instances - If Label represents an object, Instances contains the bounding boxes for each instance of the detected object. Bounding boxes are returned for common object labels such as people, cars, furniture, apparel or pets.

Label, label_name - The name (label) of the object or scene.

$sel:parents:Label', label_parents - The parent labels for a label. The response includes all ancestor labels.

LabelAlias

data LabelAlias Source #

A potential alias of for a given label.

See: newLabelAlias smart constructor.

Constructors

LabelAlias' (Maybe Text)

Instances

Instances details

FromJSON LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods parseJSON :: Value -> Parser LabelAlias # parseJSONList :: Value -> Parser [LabelAlias] #
Generic LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Associated Types type Rep LabelAlias :: Type -> Type # Methods from :: LabelAlias -> Rep LabelAlias x # to :: Rep LabelAlias x -> LabelAlias #
Read LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods readsPrec :: Int -> ReadS LabelAlias # readList :: ReadS [LabelAlias] # readPrec :: ReadPrec LabelAlias # readListPrec :: ReadPrec [LabelAlias] #
Show LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods showsPrec :: Int -> LabelAlias -> ShowS # show :: LabelAlias -> String # showList :: [LabelAlias] -> ShowS #
NFData LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods rnf :: LabelAlias -> () #
Eq LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods (==) :: LabelAlias -> LabelAlias -> Bool # (/=) :: LabelAlias -> LabelAlias -> Bool #
Hashable LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias Methods hashWithSalt :: Int -> LabelAlias -> Int # hash :: LabelAlias -> Int #
type Rep LabelAlias Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelAlias type Rep LabelAlias = D1 ('MetaData "LabelAlias" "Amazonka.Rekognition.Types.LabelAlias" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelAlias'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newLabelAlias :: LabelAlias Source #

Create a value of LabelAlias with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:LabelAlias', labelAlias_name - The name of an alias for a given label.

LabelCategory

data LabelCategory Source #

The category that applies to a given label.

See: newLabelCategory smart constructor.

Constructors

LabelCategory' (Maybe Text)

Instances

Instances details

FromJSON LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods parseJSON :: Value -> Parser LabelCategory # parseJSONList :: Value -> Parser [LabelCategory] #
Generic LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Associated Types type Rep LabelCategory :: Type -> Type # Methods from :: LabelCategory -> Rep LabelCategory x # to :: Rep LabelCategory x -> LabelCategory #
Read LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods readsPrec :: Int -> ReadS LabelCategory # readList :: ReadS [LabelCategory] # readPrec :: ReadPrec LabelCategory # readListPrec :: ReadPrec [LabelCategory] #
Show LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods showsPrec :: Int -> LabelCategory -> ShowS # show :: LabelCategory -> String # showList :: [LabelCategory] -> ShowS #
NFData LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods rnf :: LabelCategory -> () #
Eq LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods (==) :: LabelCategory -> LabelCategory -> Bool # (/=) :: LabelCategory -> LabelCategory -> Bool #
Hashable LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory Methods hashWithSalt :: Int -> LabelCategory -> Int # hash :: LabelCategory -> Int #
type Rep LabelCategory Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelCategory type Rep LabelCategory = D1 ('MetaData "LabelCategory" "Amazonka.Rekognition.Types.LabelCategory" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelCategory'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newLabelCategory :: LabelCategory Source #

Create a value of LabelCategory with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:LabelCategory', labelCategory_name - The name of a category that applies to a given label.

LabelDetection

data LabelDetection Source #

Information about a label detected in a video analysis request and the time the label was detected in the video.

See: newLabelDetection smart constructor.

Constructors

LabelDetection' (Maybe Natural) (Maybe Natural) (Maybe Label) (Maybe Natural) (Maybe Integer)

Instances

Instances details

FromJSON LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods parseJSON :: Value -> Parser LabelDetection # parseJSONList :: Value -> Parser [LabelDetection] #
Generic LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Associated Types type Rep LabelDetection :: Type -> Type # Methods from :: LabelDetection -> Rep LabelDetection x # to :: Rep LabelDetection x -> LabelDetection #
Read LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods readsPrec :: Int -> ReadS LabelDetection # readList :: ReadS [LabelDetection] # readPrec :: ReadPrec LabelDetection # readListPrec :: ReadPrec [LabelDetection] #
Show LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods showsPrec :: Int -> LabelDetection -> ShowS # show :: LabelDetection -> String # showList :: [LabelDetection] -> ShowS #
NFData LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods rnf :: LabelDetection -> () #
Eq LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods (==) :: LabelDetection -> LabelDetection -> Bool # (/=) :: LabelDetection -> LabelDetection -> Bool #
Hashable LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods hashWithSalt :: Int -> LabelDetection -> Int # hash :: LabelDetection -> Int #
type Rep LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection type Rep LabelDetection = D1 ('MetaData "LabelDetection" "Amazonka.Rekognition.Types.LabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "endTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "label") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Label)) :: (S1 ('MetaSel ('Just "startTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))))

newLabelDetection :: LabelDetection Source #

Create a value of LabelDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:durationMillis:LabelDetection', labelDetection_durationMillis - The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis.

$sel:endTimestampMillis:LabelDetection', labelDetection_endTimestampMillis - The time in milliseconds defining the end of the timeline segment containing a continuously detected label.

$sel:label:LabelDetection', labelDetection_label - Details about the detected label.

$sel:startTimestampMillis:LabelDetection', labelDetection_startTimestampMillis - The time in milliseconds defining the start of the timeline segment containing a continuously detected label.

$sel:timestamp:LabelDetection', labelDetection_timestamp - Time, in milliseconds from the start of the video, that the label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the label first appears.

LabelDetectionSettings

data LabelDetectionSettings Source #

Contains the specified filters that should be applied to a list of returned GENERAL_LABELS.

See: newLabelDetectionSettings smart constructor.

Constructors

LabelDetectionSettings' (Maybe GeneralLabelsSettings)

Instances

Instances details

ToJSON LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods toJSON :: LabelDetectionSettings -> Value # toEncoding :: LabelDetectionSettings -> Encoding # toJSONList :: [LabelDetectionSettings] -> Value # toEncodingList :: [LabelDetectionSettings] -> Encoding #
Generic LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Associated Types type Rep LabelDetectionSettings :: Type -> Type # Methods from :: LabelDetectionSettings -> Rep LabelDetectionSettings x # to :: Rep LabelDetectionSettings x -> LabelDetectionSettings #
Read LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods readsPrec :: Int -> ReadS LabelDetectionSettings # readList :: ReadS [LabelDetectionSettings] # readPrec :: ReadPrec LabelDetectionSettings # readListPrec :: ReadPrec [LabelDetectionSettings] #
Show LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods showsPrec :: Int -> LabelDetectionSettings -> ShowS # show :: LabelDetectionSettings -> String # showList :: [LabelDetectionSettings] -> ShowS #
NFData LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods rnf :: LabelDetectionSettings -> () #
Eq LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods (==) :: LabelDetectionSettings -> LabelDetectionSettings -> Bool # (/=) :: LabelDetectionSettings -> LabelDetectionSettings -> Bool #
Hashable LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods hashWithSalt :: Int -> LabelDetectionSettings -> Int # hash :: LabelDetectionSettings -> Int #
type Rep LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings type Rep LabelDetectionSettings = D1 ('MetaData "LabelDetectionSettings" "Amazonka.Rekognition.Types.LabelDetectionSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelDetectionSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "generalLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GeneralLabelsSettings))))

newLabelDetectionSettings :: LabelDetectionSettings Source #

Create a value of LabelDetectionSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:generalLabels:LabelDetectionSettings', labelDetectionSettings_generalLabels - Undocumented member.

Landmark

data Landmark Source #

Indicates the location of the landmark on the face.

See: newLandmark smart constructor.

Constructors

Landmark' (Maybe LandmarkType) (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods parseJSON :: Value -> Parser Landmark # parseJSONList :: Value -> Parser [Landmark] #
Generic Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Associated Types type Rep Landmark :: Type -> Type # Methods from :: Landmark -> Rep Landmark x # to :: Rep Landmark x -> Landmark #
Read Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods readsPrec :: Int -> ReadS Landmark # readList :: ReadS [Landmark] # readPrec :: ReadPrec Landmark # readListPrec :: ReadPrec [Landmark] #
Show Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods showsPrec :: Int -> Landmark -> ShowS # show :: Landmark -> String # showList :: [Landmark] -> ShowS #
NFData Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods rnf :: Landmark -> () #
Eq Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods (==) :: Landmark -> Landmark -> Bool # (/=) :: Landmark -> Landmark -> Bool #
Hashable Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods hashWithSalt :: Int -> Landmark -> Int # hash :: Landmark -> Int #
type Rep Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark type Rep Landmark = D1 ('MetaData "Landmark" "Amazonka.Rekognition.Types.Landmark" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Landmark'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LandmarkType)) :: (S1 ('MetaSel ('Just "x") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "y") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newLandmark :: Landmark Source #

Create a value of Landmark with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':Landmark', landmark_type - Type of landmark.

$sel:x:Landmark', landmark_x - The x-coordinate of the landmark expressed as a ratio of the width of the image. The x-coordinate is measured from the left-side of the image. For example, if the image is 700 pixels wide and the x-coordinate of the landmark is at 350 pixels, this value is 0.5.

$sel:y:Landmark', landmark_y - The y-coordinate of the landmark expressed as a ratio of the height of the image. The y-coordinate is measured from the top of the image. For example, if the image height is 200 pixels and the y-coordinate of the landmark is at 50 pixels, this value is 0.25.

ModerationLabel

data ModerationLabel Source #

Provides information about a single type of inappropriate, unwanted, or offensive content found in an image or video. Each type of moderated content has a label within a hierarchical taxonomy. For more information, see Content moderation in the Amazon Rekognition Developer Guide.

See: newModerationLabel smart constructor.

Constructors

ModerationLabel' (Maybe Double) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods parseJSON :: Value -> Parser ModerationLabel # parseJSONList :: Value -> Parser [ModerationLabel] #
Generic ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Associated Types type Rep ModerationLabel :: Type -> Type # Methods from :: ModerationLabel -> Rep ModerationLabel x # to :: Rep ModerationLabel x -> ModerationLabel #
Read ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods readsPrec :: Int -> ReadS ModerationLabel # readList :: ReadS [ModerationLabel] # readPrec :: ReadPrec ModerationLabel # readListPrec :: ReadPrec [ModerationLabel] #
Show ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods showsPrec :: Int -> ModerationLabel -> ShowS # show :: ModerationLabel -> String # showList :: [ModerationLabel] -> ShowS #
NFData ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods rnf :: ModerationLabel -> () #
Eq ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods (==) :: ModerationLabel -> ModerationLabel -> Bool # (/=) :: ModerationLabel -> ModerationLabel -> Bool #
Hashable ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods hashWithSalt :: Int -> ModerationLabel -> Int # hash :: ModerationLabel -> Int #
type Rep ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel type Rep ModerationLabel = D1 ('MetaData "ModerationLabel" "Amazonka.Rekognition.Types.ModerationLabel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ModerationLabel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "parentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newModerationLabel :: ModerationLabel Source #

Create a value of ModerationLabel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:ModerationLabel', moderationLabel_confidence - Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.

If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, the operation returns labels with a confidence value greater than or equal to 50 percent.

$sel:name:ModerationLabel', moderationLabel_name - The label name for the type of unsafe content detected in the image.

$sel:parentName:ModerationLabel', moderationLabel_parentName - The name for the parent label. Labels at the top level of the hierarchy have the parent label "".

MouthOpen

data MouthOpen Source #

Indicates whether or not the mouth on the face is open, and the confidence level in the determination.

See: newMouthOpen smart constructor.

Constructors

MouthOpen' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods parseJSON :: Value -> Parser MouthOpen # parseJSONList :: Value -> Parser [MouthOpen] #
Generic MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Associated Types type Rep MouthOpen :: Type -> Type # Methods from :: MouthOpen -> Rep MouthOpen x # to :: Rep MouthOpen x -> MouthOpen #
Read MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods readsPrec :: Int -> ReadS MouthOpen # readList :: ReadS [MouthOpen] # readPrec :: ReadPrec MouthOpen # readListPrec :: ReadPrec [MouthOpen] #
Show MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods showsPrec :: Int -> MouthOpen -> ShowS # show :: MouthOpen -> String # showList :: [MouthOpen] -> ShowS #
NFData MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods rnf :: MouthOpen -> () #
Eq MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods (==) :: MouthOpen -> MouthOpen -> Bool # (/=) :: MouthOpen -> MouthOpen -> Bool #
Hashable MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods hashWithSalt :: Int -> MouthOpen -> Int # hash :: MouthOpen -> Int #
type Rep MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen type Rep MouthOpen = D1 ('MetaData "MouthOpen" "Amazonka.Rekognition.Types.MouthOpen" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "MouthOpen'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newMouthOpen :: MouthOpen Source #

Create a value of MouthOpen with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:MouthOpen', mouthOpen_confidence - Level of confidence in the determination.

$sel:value:MouthOpen', mouthOpen_value - Boolean value that indicates whether the mouth on the face is open or not.

Mustache

data Mustache Source #

Indicates whether or not the face has a mustache, and the confidence level in the determination.

See: newMustache smart constructor.

Constructors

Mustache' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods parseJSON :: Value -> Parser Mustache # parseJSONList :: Value -> Parser [Mustache] #
Generic Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Associated Types type Rep Mustache :: Type -> Type # Methods from :: Mustache -> Rep Mustache x # to :: Rep Mustache x -> Mustache #
Read Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods readsPrec :: Int -> ReadS Mustache # readList :: ReadS [Mustache] # readPrec :: ReadPrec Mustache # readListPrec :: ReadPrec [Mustache] #
Show Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods showsPrec :: Int -> Mustache -> ShowS # show :: Mustache -> String # showList :: [Mustache] -> ShowS #
NFData Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods rnf :: Mustache -> () #
Eq Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods (==) :: Mustache -> Mustache -> Bool # (/=) :: Mustache -> Mustache -> Bool #
Hashable Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods hashWithSalt :: Int -> Mustache -> Int # hash :: Mustache -> Int #
type Rep Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache type Rep Mustache = D1 ('MetaData "Mustache" "Amazonka.Rekognition.Types.Mustache" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Mustache'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newMustache :: Mustache Source #

Create a value of Mustache with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Mustache', mustache_confidence - Level of confidence in the determination.

$sel:value:Mustache', mustache_value - Boolean value that indicates whether the face has mustache or not.

NotificationChannel

data NotificationChannel Source #

The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see Calling Amazon Rekognition Video operations. Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see Giving access to multiple Amazon SNS topics.

See: newNotificationChannel smart constructor.

Constructors

NotificationChannel' Text Text

Instances

Instances details

ToJSON NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods toJSON :: NotificationChannel -> Value # toEncoding :: NotificationChannel -> Encoding # toJSONList :: [NotificationChannel] -> Value # toEncodingList :: [NotificationChannel] -> Encoding #
Generic NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Associated Types type Rep NotificationChannel :: Type -> Type # Methods from :: NotificationChannel -> Rep NotificationChannel x # to :: Rep NotificationChannel x -> NotificationChannel #
Read NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods readsPrec :: Int -> ReadS NotificationChannel # readList :: ReadS [NotificationChannel] # readPrec :: ReadPrec NotificationChannel # readListPrec :: ReadPrec [NotificationChannel] #
Show NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods showsPrec :: Int -> NotificationChannel -> ShowS # show :: NotificationChannel -> String # showList :: [NotificationChannel] -> ShowS #
NFData NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods rnf :: NotificationChannel -> () #
Eq NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods (==) :: NotificationChannel -> NotificationChannel -> Bool # (/=) :: NotificationChannel -> NotificationChannel -> Bool #
Hashable NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods hashWithSalt :: Int -> NotificationChannel -> Int # hash :: NotificationChannel -> Int #
type Rep NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel type Rep NotificationChannel = D1 ('MetaData "NotificationChannel" "Amazonka.Rekognition.Types.NotificationChannel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "NotificationChannel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sNSTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newNotificationChannel Source #

Arguments

:: Text	`$sel:sNSTopicArn:NotificationChannel'`
-> Text	`$sel:roleArn:NotificationChannel'`
-> NotificationChannel

Create a value of NotificationChannel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sNSTopicArn:NotificationChannel', notificationChannel_sNSTopicArn - The Amazon SNS topic to which Amazon Rekognition posts the completion status.

$sel:roleArn:NotificationChannel', notificationChannel_roleArn - The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

OutputConfig

data OutputConfig Source #

The S3 bucket and folder location where training output is placed.

See: newOutputConfig smart constructor.

Constructors

OutputConfig' (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods parseJSON :: Value -> Parser OutputConfig # parseJSONList :: Value -> Parser [OutputConfig] #
ToJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods toJSON :: OutputConfig -> Value # toEncoding :: OutputConfig -> Encoding # toJSONList :: [OutputConfig] -> Value # toEncodingList :: [OutputConfig] -> Encoding #
Generic OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Associated Types type Rep OutputConfig :: Type -> Type # Methods from :: OutputConfig -> Rep OutputConfig x # to :: Rep OutputConfig x -> OutputConfig #
Read OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods readsPrec :: Int -> ReadS OutputConfig # readList :: ReadS [OutputConfig] # readPrec :: ReadPrec OutputConfig # readListPrec :: ReadPrec [OutputConfig] #
Show OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods showsPrec :: Int -> OutputConfig -> ShowS # show :: OutputConfig -> String # showList :: [OutputConfig] -> ShowS #
NFData OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods rnf :: OutputConfig -> () #
Eq OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods (==) :: OutputConfig -> OutputConfig -> Bool # (/=) :: OutputConfig -> OutputConfig -> Bool #
Hashable OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods hashWithSalt :: Int -> OutputConfig -> Int # hash :: OutputConfig -> Int #
type Rep OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.Rekognition.Types.OutputConfig" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3KeyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newOutputConfig :: OutputConfig Source #

Create a value of OutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Bucket:OutputConfig', outputConfig_s3Bucket - The S3 bucket where training output is placed.

$sel:s3KeyPrefix:OutputConfig', outputConfig_s3KeyPrefix - The prefix applied to the training output files.

Parent

data Parent Source #

A parent label for a label. A label can have 0, 1, or more parents.

See: newParent smart constructor.

Constructors

Parent' (Maybe Text)

Instances

Instances details

FromJSON Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods parseJSON :: Value -> Parser Parent # parseJSONList :: Value -> Parser [Parent] #
Generic Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Associated Types type Rep Parent :: Type -> Type # Methods from :: Parent -> Rep Parent x # to :: Rep Parent x -> Parent #
Read Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods readsPrec :: Int -> ReadS Parent # readList :: ReadS [Parent] # readPrec :: ReadPrec Parent # readListPrec :: ReadPrec [Parent] #
Show Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods showsPrec :: Int -> Parent -> ShowS # show :: Parent -> String # showList :: [Parent] -> ShowS #
NFData Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods rnf :: Parent -> () #
Eq Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods (==) :: Parent -> Parent -> Bool # (/=) :: Parent -> Parent -> Bool #
Hashable Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods hashWithSalt :: Int -> Parent -> Int # hash :: Parent -> Int #
type Rep Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent type Rep Parent = D1 ('MetaData "Parent" "Amazonka.Rekognition.Types.Parent" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Parent'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newParent :: Parent Source #

Create a value of Parent with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:Parent', parent_name - The name of the parent label.

PersonDetail

data PersonDetail Source #

Details about a person detected in a video analysis request.

See: newPersonDetail smart constructor.

Constructors

PersonDetail' (Maybe BoundingBox) (Maybe FaceDetail) (Maybe Integer)

Instances

Instances details

FromJSON PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods parseJSON :: Value -> Parser PersonDetail # parseJSONList :: Value -> Parser [PersonDetail] #
Generic PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Associated Types type Rep PersonDetail :: Type -> Type # Methods from :: PersonDetail -> Rep PersonDetail x # to :: Rep PersonDetail x -> PersonDetail #
Read PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods readsPrec :: Int -> ReadS PersonDetail # readList :: ReadS [PersonDetail] # readPrec :: ReadPrec PersonDetail # readListPrec :: ReadPrec [PersonDetail] #
Show PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods showsPrec :: Int -> PersonDetail -> ShowS # show :: PersonDetail -> String # showList :: [PersonDetail] -> ShowS #
NFData PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods rnf :: PersonDetail -> () #
Eq PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods (==) :: PersonDetail -> PersonDetail -> Bool # (/=) :: PersonDetail -> PersonDetail -> Bool #
Hashable PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods hashWithSalt :: Int -> PersonDetail -> Int # hash :: PersonDetail -> Int #
type Rep PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail type Rep PersonDetail = D1 ('MetaData "PersonDetail" "Amazonka.Rekognition.Types.PersonDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :: S1 ('MetaSel ('Just "index") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newPersonDetail :: PersonDetail Source #

Create a value of PersonDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

PersonDetail, personDetail_boundingBox - Bounding box around the detected person.

$sel:face:PersonDetail', personDetail_face - Face details for the detected person.

$sel:index:PersonDetail', personDetail_index - Identifier for the person detected person within a video. Use to keep track of the person throughout the video. The identifier is not stored by Amazon Rekognition.

PersonDetection

data PersonDetection Source #

Details and path tracking information for a single time a person's path is tracked in a video. Amazon Rekognition operations that track people's paths return an array of PersonDetection objects with elements for each time a person's path is tracked in a video.

For more information, see GetPersonTracking in the Amazon Rekognition Developer Guide.

See: newPersonDetection smart constructor.

Constructors

PersonDetection' (Maybe PersonDetail) (Maybe Integer)

Instances

Instances details

FromJSON PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods parseJSON :: Value -> Parser PersonDetection # parseJSONList :: Value -> Parser [PersonDetection] #
Generic PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Associated Types type Rep PersonDetection :: Type -> Type # Methods from :: PersonDetection -> Rep PersonDetection x # to :: Rep PersonDetection x -> PersonDetection #
Read PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods readsPrec :: Int -> ReadS PersonDetection # readList :: ReadS [PersonDetection] # readPrec :: ReadPrec PersonDetection # readListPrec :: ReadPrec [PersonDetection] #
Show PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods showsPrec :: Int -> PersonDetection -> ShowS # show :: PersonDetection -> String # showList :: [PersonDetection] -> ShowS #
NFData PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods rnf :: PersonDetection -> () #
Eq PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods (==) :: PersonDetection -> PersonDetection -> Bool # (/=) :: PersonDetection -> PersonDetection -> Bool #
Hashable PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods hashWithSalt :: Int -> PersonDetection -> Int # hash :: PersonDetection -> Int #
type Rep PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection type Rep PersonDetection = D1 ('MetaData "PersonDetection" "Amazonka.Rekognition.Types.PersonDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "person") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newPersonDetection :: PersonDetection Source #

Create a value of PersonDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:person:PersonDetection', personDetection_person - Details about a person whose path was tracked in a video.

$sel:timestamp:PersonDetection', personDetection_timestamp - The time, in milliseconds from the start of the video, that the person's path was tracked. Note that Timestamp is not guaranteed to be accurate to the individual frame where the person's path first appears.

PersonMatch

data PersonMatch Source #

Information about a person whose face matches a face(s) in an Amazon Rekognition collection. Includes information about the faces in the Amazon Rekognition collection (FaceMatch), information about the person (PersonDetail), and the time stamp for when the person was detected in a video. An array of PersonMatch objects is returned by GetFaceSearch.

See: newPersonMatch smart constructor.

Constructors

PersonMatch' (Maybe [FaceMatch]) (Maybe PersonDetail) (Maybe Integer)

Instances

Instances details

FromJSON PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods parseJSON :: Value -> Parser PersonMatch # parseJSONList :: Value -> Parser [PersonMatch] #
Generic PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Associated Types type Rep PersonMatch :: Type -> Type # Methods from :: PersonMatch -> Rep PersonMatch x # to :: Rep PersonMatch x -> PersonMatch #
Read PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods readsPrec :: Int -> ReadS PersonMatch # readList :: ReadS [PersonMatch] # readPrec :: ReadPrec PersonMatch # readListPrec :: ReadPrec [PersonMatch] #
Show PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods showsPrec :: Int -> PersonMatch -> ShowS # show :: PersonMatch -> String # showList :: [PersonMatch] -> ShowS #
NFData PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods rnf :: PersonMatch -> () #
Eq PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods (==) :: PersonMatch -> PersonMatch -> Bool # (/=) :: PersonMatch -> PersonMatch -> Bool #
Hashable PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods hashWithSalt :: Int -> PersonMatch -> Int # hash :: PersonMatch -> Int #
type Rep PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch type Rep PersonMatch = D1 ('MetaData "PersonMatch" "Amazonka.Rekognition.Types.PersonMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceMatch])) :: (S1 ('MetaSel ('Just "person") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonDetail)) :: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newPersonMatch :: PersonMatch Source #

Create a value of PersonMatch with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faceMatches:PersonMatch', personMatch_faceMatches - Information about the faces in the input collection that match the face of a person in the video.

$sel:person:PersonMatch', personMatch_person - Information about the matched person.

$sel:timestamp:PersonMatch', personMatch_timestamp - The time, in milliseconds from the beginning of the video, that the person was matched in the video.

Point

data Point Source #

The X and Y coordinates of a point on an image or video frame. The X and Y values are ratios of the overall image size or video resolution. For example, if an input image is 700x200 and the values are X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the image.

An array of Point objects makes up a Polygon. A Polygon is returned by DetectText and by DetectCustomLabels Polygon represents a fine-grained polygon around a detected item. For more information, see Geometry in the Amazon Rekognition Developer Guide.

See: newPoint smart constructor.

Constructors

Point' (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods parseJSON :: Value -> Parser Point # parseJSONList :: Value -> Parser [Point] #
ToJSON Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods toJSON :: Point -> Value # toEncoding :: Point -> Encoding # toJSONList :: [Point] -> Value # toEncodingList :: [Point] -> Encoding #
Generic Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Associated Types type Rep Point :: Type -> Type # Methods from :: Point -> Rep Point x # to :: Rep Point x -> Point #
Read Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods readsPrec :: Int -> ReadS Point # readList :: ReadS [Point] # readPrec :: ReadPrec Point # readListPrec :: ReadPrec [Point] #
Show Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods showsPrec :: Int -> Point -> ShowS # show :: Point -> String # showList :: [Point] -> ShowS #
NFData Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods rnf :: Point -> () #
Eq Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods (==) :: Point -> Point -> Bool # (/=) :: Point -> Point -> Bool #
Hashable Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods hashWithSalt :: Int -> Point -> Int # hash :: Point -> Int #
type Rep Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point type Rep Point = D1 ('MetaData "Point" "Amazonka.Rekognition.Types.Point" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Point'" 'PrefixI 'True) (S1 ('MetaSel ('Just "x") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "y") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newPoint :: Point Source #

Create a value of Point with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:x:Point', point_x - The value of the X coordinate for a point on a Polygon.

$sel:y:Point', point_y - The value of the Y coordinate for a point on a Polygon.

Pose

data Pose Source #

Indicates the pose of the face as determined by its pitch, roll, and yaw.

See: newPose smart constructor.

Constructors

Pose' (Maybe Double) (Maybe Double) (Maybe Double)

Instances

Instances details

FromJSON Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods parseJSON :: Value -> Parser Pose # parseJSONList :: Value -> Parser [Pose] #
Generic Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Associated Types type Rep Pose :: Type -> Type # Methods from :: Pose -> Rep Pose x # to :: Rep Pose x -> Pose #
Read Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods readsPrec :: Int -> ReadS Pose # readList :: ReadS [Pose] # readPrec :: ReadPrec Pose # readListPrec :: ReadPrec [Pose] #
Show Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods showsPrec :: Int -> Pose -> ShowS # show :: Pose -> String # showList :: [Pose] -> ShowS #
NFData Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods rnf :: Pose -> () #
Eq Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods (==) :: Pose -> Pose -> Bool # (/=) :: Pose -> Pose -> Bool #
Hashable Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods hashWithSalt :: Int -> Pose -> Int # hash :: Pose -> Int #
type Rep Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose type Rep Pose = D1 ('MetaData "Pose" "Amazonka.Rekognition.Types.Pose" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Pose'" 'PrefixI 'True) (S1 ('MetaSel ('Just "pitch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "roll") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "yaw") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newPose :: Pose Source #

Create a value of Pose with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pitch:Pose', pose_pitch - Value representing the face rotation on the pitch axis.

$sel:roll:Pose', pose_roll - Value representing the face rotation on the roll axis.

$sel:yaw:Pose', pose_yaw - Value representing the face rotation on the yaw axis.

ProjectDescription

data ProjectDescription Source #

A description of an Amazon Rekognition Custom Labels project. For more information, see DescribeProjects.

See: newProjectDescription smart constructor.

Constructors

ProjectDescription' (Maybe POSIX) (Maybe [DatasetMetadata]) (Maybe Text) (Maybe ProjectStatus)

Instances

Instances details

FromJSON ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods parseJSON :: Value -> Parser ProjectDescription # parseJSONList :: Value -> Parser [ProjectDescription] #
Generic ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Associated Types type Rep ProjectDescription :: Type -> Type # Methods from :: ProjectDescription -> Rep ProjectDescription x # to :: Rep ProjectDescription x -> ProjectDescription #
Read ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods readsPrec :: Int -> ReadS ProjectDescription # readList :: ReadS [ProjectDescription] # readPrec :: ReadPrec ProjectDescription # readListPrec :: ReadPrec [ProjectDescription] #
Show ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods showsPrec :: Int -> ProjectDescription -> ShowS # show :: ProjectDescription -> String # showList :: [ProjectDescription] -> ShowS #
NFData ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods rnf :: ProjectDescription -> () #
Eq ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods (==) :: ProjectDescription -> ProjectDescription -> Bool # (/=) :: ProjectDescription -> ProjectDescription -> Bool #
Hashable ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods hashWithSalt :: Int -> ProjectDescription -> Int # hash :: ProjectDescription -> Int #
type Rep ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription type Rep ProjectDescription = D1 ('MetaData "ProjectDescription" "Amazonka.Rekognition.Types.ProjectDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetMetadata]))) :: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)))))

newProjectDescription :: ProjectDescription Source #

Create a value of ProjectDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ProjectDescription, projectDescription_creationTimestamp - The Unix timestamp for the date and time that the project was created.

$sel:datasets:ProjectDescription', projectDescription_datasets - Information about the training and test datasets in the project.

$sel:projectArn:ProjectDescription', projectDescription_projectArn - The Amazon Resource Name (ARN) of the project.

ProjectDescription, projectDescription_status - The current status of the project.

ProjectPolicy

data ProjectPolicy Source #

Describes a project policy in the response from ListProjectPolicies.

See: newProjectPolicy smart constructor.

Constructors

ProjectPolicy' (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods parseJSON :: Value -> Parser ProjectPolicy # parseJSONList :: Value -> Parser [ProjectPolicy] #
Generic ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Associated Types type Rep ProjectPolicy :: Type -> Type # Methods from :: ProjectPolicy -> Rep ProjectPolicy x # to :: Rep ProjectPolicy x -> ProjectPolicy #
Read ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods readsPrec :: Int -> ReadS ProjectPolicy # readList :: ReadS [ProjectPolicy] # readPrec :: ReadPrec ProjectPolicy # readListPrec :: ReadPrec [ProjectPolicy] #
Show ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods showsPrec :: Int -> ProjectPolicy -> ShowS # show :: ProjectPolicy -> String # showList :: [ProjectPolicy] -> ShowS #
NFData ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods rnf :: ProjectPolicy -> () #
Eq ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods (==) :: ProjectPolicy -> ProjectPolicy -> Bool # (/=) :: ProjectPolicy -> ProjectPolicy -> Bool #
Hashable ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods hashWithSalt :: Int -> ProjectPolicy -> Int # hash :: ProjectPolicy -> Int #
type Rep ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy type Rep ProjectPolicy = D1 ('MetaData "ProjectPolicy" "Amazonka.Rekognition.Types.ProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectPolicy'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "policyDocument") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "policyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "policyRevisionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newProjectPolicy :: ProjectPolicy Source #

Create a value of ProjectPolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ProjectPolicy', projectPolicy_creationTimestamp - The Unix datetime for the creation of the project policy.

$sel:lastUpdatedTimestamp:ProjectPolicy', projectPolicy_lastUpdatedTimestamp - The Unix datetime for when the project policy was last updated.

$sel:policyDocument:ProjectPolicy', projectPolicy_policyDocument - The JSON document for the project policy.

$sel:policyName:ProjectPolicy', projectPolicy_policyName - The name of the project policy.

$sel:policyRevisionId:ProjectPolicy', projectPolicy_policyRevisionId - The revision ID of the project policy.

$sel:projectArn:ProjectPolicy', projectPolicy_projectArn - The Amazon Resource Name (ARN) of the project to which the project policy is attached.

ProjectVersionDescription

data ProjectVersionDescription Source #

A description of a version of an Amazon Rekognition Custom Labels model.

See: newProjectVersionDescription smart constructor.

Constructors

ProjectVersionDescription' (Maybe Natural) (Maybe POSIX) (Maybe EvaluationResult) (Maybe Text) (Maybe GroundTruthManifest) (Maybe Natural) (Maybe Natural) (Maybe OutputConfig) (Maybe Text) (Maybe Text) (Maybe ProjectVersionStatus) (Maybe Text) (Maybe TestingDataResult) (Maybe TrainingDataResult) (Maybe POSIX)

Instances

Instances details

FromJSON ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods parseJSON :: Value -> Parser ProjectVersionDescription # parseJSONList :: Value -> Parser [ProjectVersionDescription] #
Generic ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Associated Types type Rep ProjectVersionDescription :: Type -> Type # Methods from :: ProjectVersionDescription -> Rep ProjectVersionDescription x # to :: Rep ProjectVersionDescription x -> ProjectVersionDescription #
Read ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods readsPrec :: Int -> ReadS ProjectVersionDescription # readList :: ReadS [ProjectVersionDescription] # readPrec :: ReadPrec ProjectVersionDescription # readListPrec :: ReadPrec [ProjectVersionDescription] #
Show ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods showsPrec :: Int -> ProjectVersionDescription -> ShowS # show :: ProjectVersionDescription -> String # showList :: [ProjectVersionDescription] -> ShowS #
NFData ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods rnf :: ProjectVersionDescription -> () #
Eq ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods (==) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool # (/=) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool #
Hashable ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods hashWithSalt :: Int -> ProjectVersionDescription -> Int # hash :: ProjectVersionDescription -> Int #
type Rep ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription type Rep ProjectVersionDescription = D1 ('MetaData "ProjectVersionDescription" "Amazonka.Rekognition.Types.ProjectVersionDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectVersionDescription'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "billableTrainingTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "evaluationResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationResult)))) :: ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "manifestSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest))) :: (S1 ('MetaSel ('Just "maxInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))) :: (((S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputConfig)) :: S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sourceProjectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)))) :: ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "testingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingDataResult))) :: (S1 ('MetaSel ('Just "trainingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingDataResult)) :: S1 ('MetaSel ('Just "trainingEndTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newProjectVersionDescription :: ProjectVersionDescription Source #

Create a value of ProjectVersionDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:billableTrainingTimeInSeconds:ProjectVersionDescription', projectVersionDescription_billableTrainingTimeInSeconds - The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.

$sel:creationTimestamp:ProjectVersionDescription', projectVersionDescription_creationTimestamp - The Unix datetime for the date and time that training started.

$sel:evaluationResult:ProjectVersionDescription', projectVersionDescription_evaluationResult - The training results. EvaluationResult is only returned if training is successful.

$sel:kmsKeyId:ProjectVersionDescription', projectVersionDescription_kmsKeyId - The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.

$sel:manifestSummary:ProjectVersionDescription', projectVersionDescription_manifestSummary - The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

$sel:maxInferenceUnits:ProjectVersionDescription', projectVersionDescription_maxInferenceUnits - The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.

$sel:minInferenceUnits:ProjectVersionDescription', projectVersionDescription_minInferenceUnits - The minimum number of inference units used by the model. For more information, see StartProjectVersion.

$sel:outputConfig:ProjectVersionDescription', projectVersionDescription_outputConfig - The location where training results are saved.

$sel:projectVersionArn:ProjectVersionDescription', projectVersionDescription_projectVersionArn - The Amazon Resource Name (ARN) of the model version.

$sel:sourceProjectVersionArn:ProjectVersionDescription', projectVersionDescription_sourceProjectVersionArn - If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.

$sel:status:ProjectVersionDescription', projectVersionDescription_status - The current status of the model version.

$sel:statusMessage:ProjectVersionDescription', projectVersionDescription_statusMessage - A descriptive message for an error or warning that occurred.

$sel:testingDataResult:ProjectVersionDescription', projectVersionDescription_testingDataResult - Contains information about the testing results.

$sel:trainingDataResult:ProjectVersionDescription', projectVersionDescription_trainingDataResult - Contains information about the training results.

$sel:trainingEndTimestamp:ProjectVersionDescription', projectVersionDescription_trainingEndTimestamp - The Unix date and time that training of the model ended.

ProtectiveEquipmentBodyPart

data ProtectiveEquipmentBodyPart Source #

Information about a body part detected by DetectProtectiveEquipment that contains PPE. An array of ProtectiveEquipmentBodyPart objects is returned for each person detected by DetectProtectiveEquipment.

See: newProtectiveEquipmentBodyPart smart constructor.

Constructors

ProtectiveEquipmentBodyPart' (Maybe Double) (Maybe [EquipmentDetection]) (Maybe BodyPart)

Instances

Instances details

FromJSON ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods parseJSON :: Value -> Parser ProtectiveEquipmentBodyPart # parseJSONList :: Value -> Parser [ProtectiveEquipmentBodyPart] #
Generic ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Associated Types type Rep ProtectiveEquipmentBodyPart :: Type -> Type # Methods from :: ProtectiveEquipmentBodyPart -> Rep ProtectiveEquipmentBodyPart x # to :: Rep ProtectiveEquipmentBodyPart x -> ProtectiveEquipmentBodyPart #
Read ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods readsPrec :: Int -> ReadS ProtectiveEquipmentBodyPart # readList :: ReadS [ProtectiveEquipmentBodyPart] # readPrec :: ReadPrec ProtectiveEquipmentBodyPart # readListPrec :: ReadPrec [ProtectiveEquipmentBodyPart] #
Show ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods showsPrec :: Int -> ProtectiveEquipmentBodyPart -> ShowS # show :: ProtectiveEquipmentBodyPart -> String # showList :: [ProtectiveEquipmentBodyPart] -> ShowS #
NFData ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods rnf :: ProtectiveEquipmentBodyPart -> () #
Eq ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods (==) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool # (/=) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool #
Hashable ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods hashWithSalt :: Int -> ProtectiveEquipmentBodyPart -> Int # hash :: ProtectiveEquipmentBodyPart -> Int #
type Rep ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart type Rep ProtectiveEquipmentBodyPart = D1 ('MetaData "ProtectiveEquipmentBodyPart" "Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentBodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "equipmentDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EquipmentDetection])) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BodyPart)))))

newProtectiveEquipmentBodyPart :: ProtectiveEquipmentBodyPart Source #

Create a value of ProtectiveEquipmentBodyPart with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ProtectiveEquipmentBodyPart, protectiveEquipmentBodyPart_confidence - The confidence that Amazon Rekognition has in the detection accuracy of the detected body part.

$sel:equipmentDetections:ProtectiveEquipmentBodyPart', protectiveEquipmentBodyPart_equipmentDetections - An array of Personal Protective Equipment items detected around a body part.

$sel:name:ProtectiveEquipmentBodyPart', protectiveEquipmentBodyPart_name - The detected body part.

ProtectiveEquipmentPerson

data ProtectiveEquipmentPerson Source #

A person detected by a call to DetectProtectiveEquipment. The API returns all persons detected in the input image in an array of ProtectiveEquipmentPerson objects.

See: newProtectiveEquipmentPerson smart constructor.

Constructors

ProtectiveEquipmentPerson' (Maybe [ProtectiveEquipmentBodyPart]) (Maybe BoundingBox) (Maybe Double) (Maybe Natural)

Instances

Instances details

FromJSON ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods parseJSON :: Value -> Parser ProtectiveEquipmentPerson # parseJSONList :: Value -> Parser [ProtectiveEquipmentPerson] #
Generic ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Associated Types type Rep ProtectiveEquipmentPerson :: Type -> Type # Methods from :: ProtectiveEquipmentPerson -> Rep ProtectiveEquipmentPerson x # to :: Rep ProtectiveEquipmentPerson x -> ProtectiveEquipmentPerson #
Read ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods readsPrec :: Int -> ReadS ProtectiveEquipmentPerson # readList :: ReadS [ProtectiveEquipmentPerson] # readPrec :: ReadPrec ProtectiveEquipmentPerson # readListPrec :: ReadPrec [ProtectiveEquipmentPerson] #
Show ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods showsPrec :: Int -> ProtectiveEquipmentPerson -> ShowS # show :: ProtectiveEquipmentPerson -> String # showList :: [ProtectiveEquipmentPerson] -> ShowS #
NFData ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods rnf :: ProtectiveEquipmentPerson -> () #
Eq ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods (==) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool # (/=) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool #
Hashable ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods hashWithSalt :: Int -> ProtectiveEquipmentPerson -> Int # hash :: ProtectiveEquipmentPerson -> Int #
type Rep ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson type Rep ProtectiveEquipmentPerson = D1 ('MetaData "ProtectiveEquipmentPerson" "Amazonka.Rekognition.Types.ProtectiveEquipmentPerson" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentPerson'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bodyParts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProtectiveEquipmentBodyPart])) :: S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox))) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newProtectiveEquipmentPerson :: ProtectiveEquipmentPerson Source #

Create a value of ProtectiveEquipmentPerson with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bodyParts:ProtectiveEquipmentPerson', protectiveEquipmentPerson_bodyParts - An array of body parts detected on a person's body (including body parts without PPE).

$sel:boundingBox:ProtectiveEquipmentPerson', protectiveEquipmentPerson_boundingBox - A bounding box around the detected person.

ProtectiveEquipmentPerson, protectiveEquipmentPerson_confidence - The confidence that Amazon Rekognition has that the bounding box contains a person.

$sel:id:ProtectiveEquipmentPerson', protectiveEquipmentPerson_id - The identifier for the detected person. The identifier is only unique for a single call to DetectProtectiveEquipment.

ProtectiveEquipmentSummarizationAttributes

data ProtectiveEquipmentSummarizationAttributes Source #

Specifies summary attributes to return from a call to DetectProtectiveEquipment. You can specify which types of PPE to summarize. You can also specify a minimum confidence value for detections. Summary information is returned in the Summary (ProtectiveEquipmentSummary) field of the response from DetectProtectiveEquipment. The summary includes which persons in an image were detected wearing the requested types of person protective equipment (PPE), which persons were detected as not wearing PPE, and the persons in which a determination could not be made. For more information, see ProtectiveEquipmentSummary.

See: newProtectiveEquipmentSummarizationAttributes smart constructor.

Constructors

ProtectiveEquipmentSummarizationAttributes' Double [ProtectiveEquipmentType]

Instances

Instances details

ToJSON ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods toJSON :: ProtectiveEquipmentSummarizationAttributes -> Value # toEncoding :: ProtectiveEquipmentSummarizationAttributes -> Encoding # toJSONList :: [ProtectiveEquipmentSummarizationAttributes] -> Value # toEncodingList :: [ProtectiveEquipmentSummarizationAttributes] -> Encoding #
Generic ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Associated Types type Rep ProtectiveEquipmentSummarizationAttributes :: Type -> Type # Methods from :: ProtectiveEquipmentSummarizationAttributes -> Rep ProtectiveEquipmentSummarizationAttributes x # to :: Rep ProtectiveEquipmentSummarizationAttributes x -> ProtectiveEquipmentSummarizationAttributes #
Read ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods readsPrec :: Int -> ReadS ProtectiveEquipmentSummarizationAttributes # readList :: ReadS [ProtectiveEquipmentSummarizationAttributes] # readPrec :: ReadPrec ProtectiveEquipmentSummarizationAttributes # readListPrec :: ReadPrec [ProtectiveEquipmentSummarizationAttributes] #
Show ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods showsPrec :: Int -> ProtectiveEquipmentSummarizationAttributes -> ShowS # show :: ProtectiveEquipmentSummarizationAttributes -> String # showList :: [ProtectiveEquipmentSummarizationAttributes] -> ShowS #
NFData ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods rnf :: ProtectiveEquipmentSummarizationAttributes -> () #
Eq ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods (==) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool # (/=) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool #
Hashable ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods hashWithSalt :: Int -> ProtectiveEquipmentSummarizationAttributes -> Int # hash :: ProtectiveEquipmentSummarizationAttributes -> Int #
type Rep ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes type Rep ProtectiveEquipmentSummarizationAttributes = D1 ('MetaData "ProtectiveEquipmentSummarizationAttributes" "Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentSummarizationAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "requiredEquipmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ProtectiveEquipmentType])))

newProtectiveEquipmentSummarizationAttributes Source #

Arguments

:: Double	`$sel:minConfidence:ProtectiveEquipmentSummarizationAttributes'`
-> ProtectiveEquipmentSummarizationAttributes

Create a value of ProtectiveEquipmentSummarizationAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minConfidence:ProtectiveEquipmentSummarizationAttributes', protectiveEquipmentSummarizationAttributes_minConfidence - The minimum confidence level for which you want summary information. The confidence level applies to person detection, body part detection, equipment detection, and body part coverage. Amazon Rekognition doesn't return summary information with a confidence than this specified value. There isn't a default value.

Specify a MinConfidence value that is between 50-100% as DetectProtectiveEquipment returns predictions only where the detection confidence is between 50% - 100%. If you specify a value that is less than 50%, the results are the same specifying a value of 50%.

$sel:requiredEquipmentTypes:ProtectiveEquipmentSummarizationAttributes', protectiveEquipmentSummarizationAttributes_requiredEquipmentTypes - An array of personal protective equipment types for which you want summary information. If a person is detected wearing a required requipment type, the person's ID is added to the PersonsWithRequiredEquipment array field returned in ProtectiveEquipmentSummary by DetectProtectiveEquipment.

ProtectiveEquipmentSummary

data ProtectiveEquipmentSummary Source #

Summary information for required items of personal protective equipment (PPE) detected on persons by a call to DetectProtectiveEquipment. You specify the required type of PPE in the SummarizationAttributes (ProtectiveEquipmentSummarizationAttributes) input parameter. The summary includes which persons were detected wearing the required personal protective equipment (PersonsWithRequiredEquipment), which persons were detected as not wearing the required PPE (PersonsWithoutRequiredEquipment), and the persons in which a determination could not be made (PersonsIndeterminate).

To get a total for each category, use the size of the field array. For example, to find out how many people were detected as wearing the specified PPE, use the size of the PersonsWithRequiredEquipment array. If you want to find out more about a person, such as the location (BoundingBox) of the person on the image, use the person ID in each array element. Each person ID matches the ID field of a ProtectiveEquipmentPerson object returned in the Persons array by DetectProtectiveEquipment.

See: newProtectiveEquipmentSummary smart constructor.

Constructors

ProtectiveEquipmentSummary' (Maybe [Natural]) (Maybe [Natural]) (Maybe [Natural])

Instances

Instances details

FromJSON ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods parseJSON :: Value -> Parser ProtectiveEquipmentSummary # parseJSONList :: Value -> Parser [ProtectiveEquipmentSummary] #
Generic ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Associated Types type Rep ProtectiveEquipmentSummary :: Type -> Type # Methods from :: ProtectiveEquipmentSummary -> Rep ProtectiveEquipmentSummary x # to :: Rep ProtectiveEquipmentSummary x -> ProtectiveEquipmentSummary #
Read ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods readsPrec :: Int -> ReadS ProtectiveEquipmentSummary # readList :: ReadS [ProtectiveEquipmentSummary] # readPrec :: ReadPrec ProtectiveEquipmentSummary # readListPrec :: ReadPrec [ProtectiveEquipmentSummary] #
Show ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods showsPrec :: Int -> ProtectiveEquipmentSummary -> ShowS # show :: ProtectiveEquipmentSummary -> String # showList :: [ProtectiveEquipmentSummary] -> ShowS #
NFData ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods rnf :: ProtectiveEquipmentSummary -> () #
Eq ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods (==) :: ProtectiveEquipmentSummary -> ProtectiveEquipmentSummary -> Bool # (/=) :: ProtectiveEquipmentSummary -> ProtectiveEquipmentSummary -> Bool #
Hashable ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods hashWithSalt :: Int -> ProtectiveEquipmentSummary -> Int # hash :: ProtectiveEquipmentSummary -> Int #
type Rep ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary type Rep ProtectiveEquipmentSummary = D1 ('MetaData "ProtectiveEquipmentSummary" "Amazonka.Rekognition.Types.ProtectiveEquipmentSummary" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "personsIndeterminate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Natural])) :: (S1 ('MetaSel ('Just "personsWithRequiredEquipment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Natural])) :: S1 ('MetaSel ('Just "personsWithoutRequiredEquipment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Natural])))))

newProtectiveEquipmentSummary :: ProtectiveEquipmentSummary Source #

Create a value of ProtectiveEquipmentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:personsIndeterminate:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsIndeterminate - An array of IDs for persons where it was not possible to determine if they are wearing personal protective equipment.

$sel:personsWithRequiredEquipment:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsWithRequiredEquipment - An array of IDs for persons who are wearing detected personal protective equipment.

$sel:personsWithoutRequiredEquipment:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsWithoutRequiredEquipment - An array of IDs for persons who are not wearing all of the types of PPE specified in the RequiredEquipmentTypes field of the detected personal protective equipment.

RegionOfInterest

data RegionOfInterest Source #

Specifies a location within the frame that Rekognition checks for objects of interest such as text, labels, or faces. It uses a BoundingBox or Polygon to set a region of the screen.

A word, face, or label is included in the region if it is more than half in that region. If there is more than one region, the word, face, or label is compared with all regions of the screen. Any object of interest that is more than half in a region is kept in the results.

See: newRegionOfInterest smart constructor.

Constructors

RegionOfInterest' (Maybe BoundingBox) (Maybe [Point])

Instances

Instances details

FromJSON RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods parseJSON :: Value -> Parser RegionOfInterest # parseJSONList :: Value -> Parser [RegionOfInterest] #
ToJSON RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods toJSON :: RegionOfInterest -> Value # toEncoding :: RegionOfInterest -> Encoding # toJSONList :: [RegionOfInterest] -> Value # toEncodingList :: [RegionOfInterest] -> Encoding #
Generic RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Associated Types type Rep RegionOfInterest :: Type -> Type # Methods from :: RegionOfInterest -> Rep RegionOfInterest x # to :: Rep RegionOfInterest x -> RegionOfInterest #
Read RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods readsPrec :: Int -> ReadS RegionOfInterest # readList :: ReadS [RegionOfInterest] # readPrec :: ReadPrec RegionOfInterest # readListPrec :: ReadPrec [RegionOfInterest] #
Show RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods showsPrec :: Int -> RegionOfInterest -> ShowS # show :: RegionOfInterest -> String # showList :: [RegionOfInterest] -> ShowS #
NFData RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods rnf :: RegionOfInterest -> () #
Eq RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods (==) :: RegionOfInterest -> RegionOfInterest -> Bool # (/=) :: RegionOfInterest -> RegionOfInterest -> Bool #
Hashable RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods hashWithSalt :: Int -> RegionOfInterest -> Int # hash :: RegionOfInterest -> Int #
type Rep RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest type Rep RegionOfInterest = D1 ('MetaData "RegionOfInterest" "Amazonka.Rekognition.Types.RegionOfInterest" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "RegionOfInterest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "polygon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Point]))))

newRegionOfInterest :: RegionOfInterest Source #

Create a value of RegionOfInterest with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:boundingBox:RegionOfInterest', regionOfInterest_boundingBox - The box representing a region of interest on screen.

$sel:polygon:RegionOfInterest', regionOfInterest_polygon - Specifies a shape made up of up to 10 Point objects to define a region of interest.

S3Destination

data S3Destination Source #

The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation. These results include the name of the stream processor resource, the session ID of the stream processing session, and labeled timestamps and bounding boxes for detected labels.

See: newS3Destination smart constructor.

Constructors

S3Destination' (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods parseJSON :: Value -> Parser S3Destination # parseJSONList :: Value -> Parser [S3Destination] #
ToJSON S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods toJSON :: S3Destination -> Value # toEncoding :: S3Destination -> Encoding # toJSONList :: [S3Destination] -> Value # toEncodingList :: [S3Destination] -> Encoding #
Generic S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Associated Types type Rep S3Destination :: Type -> Type # Methods from :: S3Destination -> Rep S3Destination x # to :: Rep S3Destination x -> S3Destination #
Read S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods readsPrec :: Int -> ReadS S3Destination # readList :: ReadS [S3Destination] # readPrec :: ReadPrec S3Destination # readListPrec :: ReadPrec [S3Destination] #
Show S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods showsPrec :: Int -> S3Destination -> ShowS # show :: S3Destination -> String # showList :: [S3Destination] -> ShowS #
NFData S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods rnf :: S3Destination -> () #
Eq S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods (==) :: S3Destination -> S3Destination -> Bool # (/=) :: S3Destination -> S3Destination -> Bool #
Hashable S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods hashWithSalt :: Int -> S3Destination -> Int # hash :: S3Destination -> Int #
type Rep S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination type Rep S3Destination = D1 ('MetaData "S3Destination" "Amazonka.Rekognition.Types.S3Destination" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "S3Destination'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "keyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newS3Destination :: S3Destination Source #

Create a value of S3Destination with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bucket:S3Destination', s3Destination_bucket - The name of the Amazon S3 bucket you want to associate with the streaming video project. You must be the owner of the Amazon S3 bucket.

$sel:keyPrefix:S3Destination', s3Destination_keyPrefix - The prefix value of the location within the bucket that you want the information to be published to. For more information, see Using prefixes.

S3Object

data S3Object Source #

Provides the S3 bucket name and object name.

The region for the S3 bucket containing the S3 object must match the region you use for Amazon Rekognition operations.

For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. For more information, see How Amazon Rekognition works with IAM in the Amazon Rekognition Developer Guide.

See: newS3Object smart constructor.

Constructors

S3Object' (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

FromJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods parseJSON :: Value -> Parser S3Object # parseJSONList :: Value -> Parser [S3Object] #
ToJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods toJSON :: S3Object -> Value # toEncoding :: S3Object -> Encoding # toJSONList :: [S3Object] -> Value # toEncodingList :: [S3Object] -> Encoding #
Generic S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Associated Types type Rep S3Object :: Type -> Type # Methods from :: S3Object -> Rep S3Object x # to :: Rep S3Object x -> S3Object #
Read S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods readsPrec :: Int -> ReadS S3Object # readList :: ReadS [S3Object] # readPrec :: ReadPrec S3Object # readListPrec :: ReadPrec [S3Object] #
Show S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods showsPrec :: Int -> S3Object -> ShowS # show :: S3Object -> String # showList :: [S3Object] -> ShowS #
NFData S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods rnf :: S3Object -> () #
Eq S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods (==) :: S3Object -> S3Object -> Bool # (/=) :: S3Object -> S3Object -> Bool #
Hashable S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods hashWithSalt :: Int -> S3Object -> Int # hash :: S3Object -> Int #
type Rep S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object type Rep S3Object = D1 ('MetaData "S3Object" "Amazonka.Rekognition.Types.S3Object" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "S3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newS3Object :: S3Object Source #

Create a value of S3Object with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bucket:S3Object', s3Object_bucket - Name of the S3 bucket.

$sel:name:S3Object', s3Object_name - S3 object key name.

$sel:version:S3Object', s3Object_version - If the bucket is versioning enabled, you can specify the object version.

SegmentDetection

data SegmentDetection Source #

A technical cue or shot detection segment detected in a video. An array of SegmentDetection objects containing all segments detected in a stored video is returned by GetSegmentDetection.

See: newSegmentDetection smart constructor.

Constructors

SegmentDetection' (Maybe Natural) (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe ShotSegment) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe TechnicalCueSegment) (Maybe SegmentType)

Instances

Instances details

FromJSON SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods parseJSON :: Value -> Parser SegmentDetection # parseJSONList :: Value -> Parser [SegmentDetection] #
Generic SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Associated Types type Rep SegmentDetection :: Type -> Type # Methods from :: SegmentDetection -> Rep SegmentDetection x # to :: Rep SegmentDetection x -> SegmentDetection #
Read SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods readsPrec :: Int -> ReadS SegmentDetection # readList :: ReadS [SegmentDetection] # readPrec :: ReadPrec SegmentDetection # readListPrec :: ReadPrec [SegmentDetection] #
Show SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods showsPrec :: Int -> SegmentDetection -> ShowS # show :: SegmentDetection -> String # showList :: [SegmentDetection] -> ShowS #
NFData SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods rnf :: SegmentDetection -> () #
Eq SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods (==) :: SegmentDetection -> SegmentDetection -> Bool # (/=) :: SegmentDetection -> SegmentDetection -> Bool #
Hashable SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods hashWithSalt :: Int -> SegmentDetection -> Int # hash :: SegmentDetection -> Int #
type Rep SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection type Rep SegmentDetection = D1 ('MetaData "SegmentDetection" "Amazonka.Rekognition.Types.SegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SegmentDetection'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "durationFrames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "durationSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "endFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "endTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "endTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))) :: ((S1 ('MetaSel ('Just "shotSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ShotSegment)) :: (S1 ('MetaSel ('Just "startFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "startTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "startTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "technicalCueSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TechnicalCueSegment)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SegmentType)))))))

newSegmentDetection :: SegmentDetection Source #

Create a value of SegmentDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:durationFrames:SegmentDetection', segmentDetection_durationFrames - The duration of a video segment, expressed in frames.

$sel:durationMillis:SegmentDetection', segmentDetection_durationMillis - The duration of the detected segment in milliseconds.

$sel:durationSMPTE:SegmentDetection', segmentDetection_durationSMPTE - The duration of the timecode for the detected segment in SMPTE format.

$sel:endFrameNumber:SegmentDetection', segmentDetection_endFrameNumber - The frame number at the end of a video segment, using a frame index that starts with 0.

$sel:endTimecodeSMPTE:SegmentDetection', segmentDetection_endTimecodeSMPTE - The frame-accurate SMPTE timecode, from the start of a video, for the end of a detected segment. EndTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).

$sel:endTimestampMillis:SegmentDetection', segmentDetection_endTimestampMillis - The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.

$sel:shotSegment:SegmentDetection', segmentDetection_shotSegment - If the segment is a shot detection, contains information about the shot detection.

$sel:startFrameNumber:SegmentDetection', segmentDetection_startFrameNumber - The frame number of the start of a video segment, using a frame index that starts with 0.

$sel:startTimecodeSMPTE:SegmentDetection', segmentDetection_startTimecodeSMPTE - The frame-accurate SMPTE timecode, from the start of a video, for the start of a detected segment. StartTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).

$sel:startTimestampMillis:SegmentDetection', segmentDetection_startTimestampMillis - The start time of the detected segment in milliseconds from the start of the video. This value is rounded down. For example, if the actual timestamp is 100.6667 milliseconds, Amazon Rekognition Video returns a value of 100 millis.

$sel:technicalCueSegment:SegmentDetection', segmentDetection_technicalCueSegment - If the segment is a technical cue, contains information about the technical cue.

SegmentDetection, segmentDetection_type - The type of the segment. Valid values are TECHNICAL_CUE and SHOT.

SegmentTypeInfo

data SegmentTypeInfo Source #

Information about the type of a segment requested in a call to StartSegmentDetection. An array of SegmentTypeInfo objects is returned by the response from GetSegmentDetection.

See: newSegmentTypeInfo smart constructor.

Constructors

SegmentTypeInfo' (Maybe Text) (Maybe SegmentType)

Instances

Instances details

FromJSON SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods parseJSON :: Value -> Parser SegmentTypeInfo # parseJSONList :: Value -> Parser [SegmentTypeInfo] #
Generic SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Associated Types type Rep SegmentTypeInfo :: Type -> Type # Methods from :: SegmentTypeInfo -> Rep SegmentTypeInfo x # to :: Rep SegmentTypeInfo x -> SegmentTypeInfo #
Read SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods readsPrec :: Int -> ReadS SegmentTypeInfo # readList :: ReadS [SegmentTypeInfo] # readPrec :: ReadPrec SegmentTypeInfo # readListPrec :: ReadPrec [SegmentTypeInfo] #
Show SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods showsPrec :: Int -> SegmentTypeInfo -> ShowS # show :: SegmentTypeInfo -> String # showList :: [SegmentTypeInfo] -> ShowS #
NFData SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods rnf :: SegmentTypeInfo -> () #
Eq SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods (==) :: SegmentTypeInfo -> SegmentTypeInfo -> Bool # (/=) :: SegmentTypeInfo -> SegmentTypeInfo -> Bool #
Hashable SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods hashWithSalt :: Int -> SegmentTypeInfo -> Int # hash :: SegmentTypeInfo -> Int #
type Rep SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo type Rep SegmentTypeInfo = D1 ('MetaData "SegmentTypeInfo" "Amazonka.Rekognition.Types.SegmentTypeInfo" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SegmentTypeInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SegmentType))))

newSegmentTypeInfo :: SegmentTypeInfo Source #

Create a value of SegmentTypeInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelVersion:SegmentTypeInfo', segmentTypeInfo_modelVersion - The version of the model used to detect segments.

$sel:type':SegmentTypeInfo', segmentTypeInfo_type - The type of a segment (technical cue or shot detection).

ShotSegment

data ShotSegment Source #

Information about a shot detection segment detected in a video. For more information, see SegmentDetection.

See: newShotSegment smart constructor.

Constructors

ShotSegment' (Maybe Double) (Maybe Natural)

Instances

Instances details

FromJSON ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods parseJSON :: Value -> Parser ShotSegment # parseJSONList :: Value -> Parser [ShotSegment] #
Generic ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Associated Types type Rep ShotSegment :: Type -> Type # Methods from :: ShotSegment -> Rep ShotSegment x # to :: Rep ShotSegment x -> ShotSegment #
Read ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods readsPrec :: Int -> ReadS ShotSegment # readList :: ReadS [ShotSegment] # readPrec :: ReadPrec ShotSegment # readListPrec :: ReadPrec [ShotSegment] #
Show ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods showsPrec :: Int -> ShotSegment -> ShowS # show :: ShotSegment -> String # showList :: [ShotSegment] -> ShowS #
NFData ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods rnf :: ShotSegment -> () #
Eq ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods (==) :: ShotSegment -> ShotSegment -> Bool # (/=) :: ShotSegment -> ShotSegment -> Bool #
Hashable ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods hashWithSalt :: Int -> ShotSegment -> Int # hash :: ShotSegment -> Int #
type Rep ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment type Rep ShotSegment = D1 ('MetaData "ShotSegment" "Amazonka.Rekognition.Types.ShotSegment" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ShotSegment'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "index") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newShotSegment :: ShotSegment Source #

Create a value of ShotSegment with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:ShotSegment', shotSegment_confidence - The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

$sel:index:ShotSegment', shotSegment_index - An Identifier for a shot detection segment detected in a video.

Smile

data Smile Source #

Indicates whether or not the face is smiling, and the confidence level in the determination.

See: newSmile smart constructor.

Constructors

Smile' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods parseJSON :: Value -> Parser Smile # parseJSONList :: Value -> Parser [Smile] #
Generic Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Associated Types type Rep Smile :: Type -> Type # Methods from :: Smile -> Rep Smile x # to :: Rep Smile x -> Smile #
Read Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods readsPrec :: Int -> ReadS Smile # readList :: ReadS [Smile] # readPrec :: ReadPrec Smile # readListPrec :: ReadPrec [Smile] #
Show Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods showsPrec :: Int -> Smile -> ShowS # show :: Smile -> String # showList :: [Smile] -> ShowS #
NFData Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods rnf :: Smile -> () #
Eq Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods (==) :: Smile -> Smile -> Bool # (/=) :: Smile -> Smile -> Bool #
Hashable Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods hashWithSalt :: Int -> Smile -> Int # hash :: Smile -> Int #
type Rep Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile type Rep Smile = D1 ('MetaData "Smile" "Amazonka.Rekognition.Types.Smile" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Smile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newSmile :: Smile Source #

Create a value of Smile with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Smile', smile_confidence - Level of confidence in the determination.

$sel:value:Smile', smile_value - Boolean value that indicates whether the face is smiling or not.

StartSegmentDetectionFilters

data StartSegmentDetectionFilters Source #

Filters applied to the technical cue or shot detection segments. For more information, see StartSegmentDetection.

See: newStartSegmentDetectionFilters smart constructor.

Constructors

StartSegmentDetectionFilters' (Maybe StartShotDetectionFilter) (Maybe StartTechnicalCueDetectionFilter)

Instances

Instances details

ToJSON StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods toJSON :: StartSegmentDetectionFilters -> Value # toEncoding :: StartSegmentDetectionFilters -> Encoding # toJSONList :: [StartSegmentDetectionFilters] -> Value # toEncodingList :: [StartSegmentDetectionFilters] -> Encoding #
Generic StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Associated Types type Rep StartSegmentDetectionFilters :: Type -> Type # Methods from :: StartSegmentDetectionFilters -> Rep StartSegmentDetectionFilters x # to :: Rep StartSegmentDetectionFilters x -> StartSegmentDetectionFilters #
Read StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods readsPrec :: Int -> ReadS StartSegmentDetectionFilters # readList :: ReadS [StartSegmentDetectionFilters] # readPrec :: ReadPrec StartSegmentDetectionFilters # readListPrec :: ReadPrec [StartSegmentDetectionFilters] #
Show StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods showsPrec :: Int -> StartSegmentDetectionFilters -> ShowS # show :: StartSegmentDetectionFilters -> String # showList :: [StartSegmentDetectionFilters] -> ShowS #
NFData StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods rnf :: StartSegmentDetectionFilters -> () #
Eq StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods (==) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool # (/=) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool #
Hashable StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods hashWithSalt :: Int -> StartSegmentDetectionFilters -> Int # hash :: StartSegmentDetectionFilters -> Int #
type Rep StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters type Rep StartSegmentDetectionFilters = D1 ('MetaData "StartSegmentDetectionFilters" "Amazonka.Rekognition.Types.StartSegmentDetectionFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartSegmentDetectionFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "shotFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartShotDetectionFilter)) :*: S1 ('MetaSel ('Just "technicalCueFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartTechnicalCueDetectionFilter))))

newStartSegmentDetectionFilters :: StartSegmentDetectionFilters Source #

Create a value of StartSegmentDetectionFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:shotFilter:StartSegmentDetectionFilters', startSegmentDetectionFilters_shotFilter - Filters that are specific to shot detections.

$sel:technicalCueFilter:StartSegmentDetectionFilters', startSegmentDetectionFilters_technicalCueFilter - Filters that are specific to technical cues.

StartShotDetectionFilter

data StartShotDetectionFilter Source #

Filters for the shot detection segments returned by GetSegmentDetection. For more information, see StartSegmentDetectionFilters.

See: newStartShotDetectionFilter smart constructor.

Constructors

StartShotDetectionFilter' (Maybe Double)

Instances

Instances details

ToJSON StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods toJSON :: StartShotDetectionFilter -> Value # toEncoding :: StartShotDetectionFilter -> Encoding # toJSONList :: [StartShotDetectionFilter] -> Value # toEncodingList :: [StartShotDetectionFilter] -> Encoding #
Generic StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Associated Types type Rep StartShotDetectionFilter :: Type -> Type # Methods from :: StartShotDetectionFilter -> Rep StartShotDetectionFilter x # to :: Rep StartShotDetectionFilter x -> StartShotDetectionFilter #
Read StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods readsPrec :: Int -> ReadS StartShotDetectionFilter # readList :: ReadS [StartShotDetectionFilter] # readPrec :: ReadPrec StartShotDetectionFilter # readListPrec :: ReadPrec [StartShotDetectionFilter] #
Show StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods showsPrec :: Int -> StartShotDetectionFilter -> ShowS # show :: StartShotDetectionFilter -> String # showList :: [StartShotDetectionFilter] -> ShowS #
NFData StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods rnf :: StartShotDetectionFilter -> () #
Eq StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods (==) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool # (/=) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool #
Hashable StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods hashWithSalt :: Int -> StartShotDetectionFilter -> Int # hash :: StartShotDetectionFilter -> Int #
type Rep StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter type Rep StartShotDetectionFilter = D1 ('MetaData "StartShotDetectionFilter" "Amazonka.Rekognition.Types.StartShotDetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartShotDetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minSegmentConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newStartShotDetectionFilter :: StartShotDetectionFilter Source #

Create a value of StartShotDetectionFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minSegmentConfidence:StartShotDetectionFilter', startShotDetectionFilter_minSegmentConfidence - Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, the GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

StartTechnicalCueDetectionFilter

data StartTechnicalCueDetectionFilter Source #

Filters for the technical segments returned by GetSegmentDetection. For more information, see StartSegmentDetectionFilters.

See: newStartTechnicalCueDetectionFilter smart constructor.

Constructors

StartTechnicalCueDetectionFilter' (Maybe BlackFrame) (Maybe Double)

Instances

Instances details

ToJSON StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods toJSON :: StartTechnicalCueDetectionFilter -> Value # toEncoding :: StartTechnicalCueDetectionFilter -> Encoding # toJSONList :: [StartTechnicalCueDetectionFilter] -> Value # toEncodingList :: [StartTechnicalCueDetectionFilter] -> Encoding #
Generic StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Associated Types type Rep StartTechnicalCueDetectionFilter :: Type -> Type # Methods from :: StartTechnicalCueDetectionFilter -> Rep StartTechnicalCueDetectionFilter x # to :: Rep StartTechnicalCueDetectionFilter x -> StartTechnicalCueDetectionFilter #
Read StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods readsPrec :: Int -> ReadS StartTechnicalCueDetectionFilter # readList :: ReadS [StartTechnicalCueDetectionFilter] # readPrec :: ReadPrec StartTechnicalCueDetectionFilter # readListPrec :: ReadPrec [StartTechnicalCueDetectionFilter] #
Show StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods showsPrec :: Int -> StartTechnicalCueDetectionFilter -> ShowS # show :: StartTechnicalCueDetectionFilter -> String # showList :: [StartTechnicalCueDetectionFilter] -> ShowS #
NFData StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods rnf :: StartTechnicalCueDetectionFilter -> () #
Eq StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods (==) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool # (/=) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool #
Hashable StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods hashWithSalt :: Int -> StartTechnicalCueDetectionFilter -> Int # hash :: StartTechnicalCueDetectionFilter -> Int #
type Rep StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter type Rep StartTechnicalCueDetectionFilter = D1 ('MetaData "StartTechnicalCueDetectionFilter" "Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTechnicalCueDetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "blackFrame") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BlackFrame)) :*: S1 ('MetaSel ('Just "minSegmentConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newStartTechnicalCueDetectionFilter :: StartTechnicalCueDetectionFilter Source #

Create a value of StartTechnicalCueDetectionFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:blackFrame:StartTechnicalCueDetectionFilter', startTechnicalCueDetectionFilter_blackFrame - A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. Videos can come from multiple sources, formats, and time periods, with different standards and varying noise levels for black frames that need to be accounted for.

$sel:minSegmentConfidence:StartTechnicalCueDetectionFilter', startTechnicalCueDetectionFilter_minSegmentConfidence - Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

StartTextDetectionFilters

data StartTextDetectionFilters Source #

Set of optional parameters that let you set the criteria text must meet to be included in your response. WordFilter looks at a word's height, width and minimum confidence. RegionOfInterest lets you set a specific region of the screen to look for text in.

See: newStartTextDetectionFilters smart constructor.

Constructors

StartTextDetectionFilters' (Maybe [RegionOfInterest]) (Maybe DetectionFilter)

Instances

Instances details

ToJSON StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods toJSON :: StartTextDetectionFilters -> Value # toEncoding :: StartTextDetectionFilters -> Encoding # toJSONList :: [StartTextDetectionFilters] -> Value # toEncodingList :: [StartTextDetectionFilters] -> Encoding #
Generic StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Associated Types type Rep StartTextDetectionFilters :: Type -> Type # Methods from :: StartTextDetectionFilters -> Rep StartTextDetectionFilters x # to :: Rep StartTextDetectionFilters x -> StartTextDetectionFilters #
Read StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods readsPrec :: Int -> ReadS StartTextDetectionFilters # readList :: ReadS [StartTextDetectionFilters] # readPrec :: ReadPrec StartTextDetectionFilters # readListPrec :: ReadPrec [StartTextDetectionFilters] #
Show StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods showsPrec :: Int -> StartTextDetectionFilters -> ShowS # show :: StartTextDetectionFilters -> String # showList :: [StartTextDetectionFilters] -> ShowS #
NFData StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods rnf :: StartTextDetectionFilters -> () #
Eq StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods (==) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool # (/=) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool #
Hashable StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods hashWithSalt :: Int -> StartTextDetectionFilters -> Int # hash :: StartTextDetectionFilters -> Int #
type Rep StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters type Rep StartTextDetectionFilters = D1 ('MetaData "StartTextDetectionFilters" "Amazonka.Rekognition.Types.StartTextDetectionFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTextDetectionFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :*: S1 ('MetaSel ('Just "wordFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectionFilter))))

newStartTextDetectionFilters :: StartTextDetectionFilters Source #

Create a value of StartTextDetectionFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:regionsOfInterest:StartTextDetectionFilters', startTextDetectionFilters_regionsOfInterest - Filter focusing on a certain area of the frame. Uses a BoundingBox object to set the region of the screen.

$sel:wordFilter:StartTextDetectionFilters', startTextDetectionFilters_wordFilter - Filters focusing on qualities of the text, such as confidence or size.

StreamProcessingStartSelector

data StreamProcessingStartSelector Source #

This is a required parameter for label detection stream processors and should not be used to start a face search stream processor.

See: newStreamProcessingStartSelector smart constructor.

Constructors

StreamProcessingStartSelector' (Maybe KinesisVideoStreamStartSelector)

Instances

Instances details

ToJSON StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods toJSON :: StreamProcessingStartSelector -> Value # toEncoding :: StreamProcessingStartSelector -> Encoding # toJSONList :: [StreamProcessingStartSelector] -> Value # toEncodingList :: [StreamProcessingStartSelector] -> Encoding #
Generic StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Associated Types type Rep StreamProcessingStartSelector :: Type -> Type # Methods from :: StreamProcessingStartSelector -> Rep StreamProcessingStartSelector x # to :: Rep StreamProcessingStartSelector x -> StreamProcessingStartSelector #
Read StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods readsPrec :: Int -> ReadS StreamProcessingStartSelector # readList :: ReadS [StreamProcessingStartSelector] # readPrec :: ReadPrec StreamProcessingStartSelector # readListPrec :: ReadPrec [StreamProcessingStartSelector] #
Show StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods showsPrec :: Int -> StreamProcessingStartSelector -> ShowS # show :: StreamProcessingStartSelector -> String # showList :: [StreamProcessingStartSelector] -> ShowS #
NFData StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods rnf :: StreamProcessingStartSelector -> () #
Eq StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods (==) :: StreamProcessingStartSelector -> StreamProcessingStartSelector -> Bool # (/=) :: StreamProcessingStartSelector -> StreamProcessingStartSelector -> Bool #
Hashable StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods hashWithSalt :: Int -> StreamProcessingStartSelector -> Int # hash :: StreamProcessingStartSelector -> Int #
type Rep StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector type Rep StreamProcessingStartSelector = D1 ('MetaData "StreamProcessingStartSelector" "Amazonka.Rekognition.Types.StreamProcessingStartSelector" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessingStartSelector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kVSStreamStartSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisVideoStreamStartSelector))))

newStreamProcessingStartSelector :: StreamProcessingStartSelector Source #

Create a value of StreamProcessingStartSelector with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kVSStreamStartSelector:StreamProcessingStartSelector', streamProcessingStartSelector_kVSStreamStartSelector - Specifies the starting point in the stream to start processing. This can be done with a producer timestamp or a fragment number in a Kinesis stream.

StreamProcessingStopSelector

data StreamProcessingStopSelector Source #

Specifies when to stop processing the stream. You can specify a maximum amount of time to process the video.

See: newStreamProcessingStopSelector smart constructor.

Constructors

StreamProcessingStopSelector' (Maybe Natural)

Instances

Instances details

ToJSON StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods toJSON :: StreamProcessingStopSelector -> Value # toEncoding :: StreamProcessingStopSelector -> Encoding # toJSONList :: [StreamProcessingStopSelector] -> Value # toEncodingList :: [StreamProcessingStopSelector] -> Encoding #
Generic StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Associated Types type Rep StreamProcessingStopSelector :: Type -> Type # Methods from :: StreamProcessingStopSelector -> Rep StreamProcessingStopSelector x # to :: Rep StreamProcessingStopSelector x -> StreamProcessingStopSelector #
Read StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods readsPrec :: Int -> ReadS StreamProcessingStopSelector # readList :: ReadS [StreamProcessingStopSelector] # readPrec :: ReadPrec StreamProcessingStopSelector # readListPrec :: ReadPrec [StreamProcessingStopSelector] #
Show StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods showsPrec :: Int -> StreamProcessingStopSelector -> ShowS # show :: StreamProcessingStopSelector -> String # showList :: [StreamProcessingStopSelector] -> ShowS #
NFData StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods rnf :: StreamProcessingStopSelector -> () #
Eq StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods (==) :: StreamProcessingStopSelector -> StreamProcessingStopSelector -> Bool # (/=) :: StreamProcessingStopSelector -> StreamProcessingStopSelector -> Bool #
Hashable StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector Methods hashWithSalt :: Int -> StreamProcessingStopSelector -> Int # hash :: StreamProcessingStopSelector -> Int #
type Rep StreamProcessingStopSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStopSelector type Rep StreamProcessingStopSelector = D1 ('MetaData "StreamProcessingStopSelector" "Amazonka.Rekognition.Types.StreamProcessingStopSelector" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessingStopSelector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxDurationInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newStreamProcessingStopSelector :: StreamProcessingStopSelector Source #

Create a value of StreamProcessingStopSelector with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxDurationInSeconds:StreamProcessingStopSelector', streamProcessingStopSelector_maxDurationInSeconds - Specifies the maximum amount of time in seconds that you want the stream to be processed. The largest amount of time is 2 minutes. The default is 10 seconds.

StreamProcessor

data StreamProcessor Source #

An object that recognizes faces or labels in a streaming video. An Amazon Rekognition stream processor is created by a call to CreateStreamProcessor. The request parameters for CreateStreamProcessor describe the Kinesis video stream source for the streaming video, face recognition parameters, and where to stream the analysis resullts.

See: newStreamProcessor smart constructor.

Constructors

StreamProcessor' (Maybe Text) (Maybe StreamProcessorStatus)

Instances

Instances details

FromJSON StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods parseJSON :: Value -> Parser StreamProcessor # parseJSONList :: Value -> Parser [StreamProcessor] #
Generic StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Associated Types type Rep StreamProcessor :: Type -> Type # Methods from :: StreamProcessor -> Rep StreamProcessor x # to :: Rep StreamProcessor x -> StreamProcessor #
Read StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods readsPrec :: Int -> ReadS StreamProcessor # readList :: ReadS [StreamProcessor] # readPrec :: ReadPrec StreamProcessor # readListPrec :: ReadPrec [StreamProcessor] #
Show StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods showsPrec :: Int -> StreamProcessor -> ShowS # show :: StreamProcessor -> String # showList :: [StreamProcessor] -> ShowS #
NFData StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods rnf :: StreamProcessor -> () #
Eq StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods (==) :: StreamProcessor -> StreamProcessor -> Bool # (/=) :: StreamProcessor -> StreamProcessor -> Bool #
Hashable StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods hashWithSalt :: Int -> StreamProcessor -> Int # hash :: StreamProcessor -> Int #
type Rep StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor type Rep StreamProcessor = D1 ('MetaData "StreamProcessor" "Amazonka.Rekognition.Types.StreamProcessor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorStatus))))

newStreamProcessor :: StreamProcessor Source #

Create a value of StreamProcessor with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:StreamProcessor', streamProcessor_name - Name of the Amazon Rekognition stream processor.

$sel:status:StreamProcessor', streamProcessor_status - Current status of the Amazon Rekognition stream processor.

StreamProcessorDataSharingPreference

data StreamProcessorDataSharingPreference Source #

Allows you to opt in or opt out to share data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

See: newStreamProcessorDataSharingPreference smart constructor.

Constructors

StreamProcessorDataSharingPreference' Bool

Instances

Instances details

FromJSON StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods parseJSON :: Value -> Parser StreamProcessorDataSharingPreference # parseJSONList :: Value -> Parser [StreamProcessorDataSharingPreference] #
ToJSON StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods toJSON :: StreamProcessorDataSharingPreference -> Value # toEncoding :: StreamProcessorDataSharingPreference -> Encoding # toJSONList :: [StreamProcessorDataSharingPreference] -> Value # toEncodingList :: [StreamProcessorDataSharingPreference] -> Encoding #
Generic StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Associated Types type Rep StreamProcessorDataSharingPreference :: Type -> Type # Methods from :: StreamProcessorDataSharingPreference -> Rep StreamProcessorDataSharingPreference x # to :: Rep StreamProcessorDataSharingPreference x -> StreamProcessorDataSharingPreference #
Read StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods readsPrec :: Int -> ReadS StreamProcessorDataSharingPreference # readList :: ReadS [StreamProcessorDataSharingPreference] # readPrec :: ReadPrec StreamProcessorDataSharingPreference # readListPrec :: ReadPrec [StreamProcessorDataSharingPreference] #
Show StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods showsPrec :: Int -> StreamProcessorDataSharingPreference -> ShowS # show :: StreamProcessorDataSharingPreference -> String # showList :: [StreamProcessorDataSharingPreference] -> ShowS #
NFData StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods rnf :: StreamProcessorDataSharingPreference -> () #
Eq StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods (==) :: StreamProcessorDataSharingPreference -> StreamProcessorDataSharingPreference -> Bool # (/=) :: StreamProcessorDataSharingPreference -> StreamProcessorDataSharingPreference -> Bool #
Hashable StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods hashWithSalt :: Int -> StreamProcessorDataSharingPreference -> Int # hash :: StreamProcessorDataSharingPreference -> Int #
type Rep StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference type Rep StreamProcessorDataSharingPreference = D1 ('MetaData "StreamProcessorDataSharingPreference" "Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorDataSharingPreference'" 'PrefixI 'True) (S1 ('MetaSel ('Just "optIn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Bool)))

newStreamProcessorDataSharingPreference Source #

Arguments

:: Bool	`$sel:optIn:StreamProcessorDataSharingPreference'`
-> StreamProcessorDataSharingPreference

Create a value of StreamProcessorDataSharingPreference with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:optIn:StreamProcessorDataSharingPreference', streamProcessorDataSharingPreference_optIn - If this option is set to true, you choose to share data with Rekognition to improve model performance.

StreamProcessorInput

data StreamProcessorInput Source #

Information about the source streaming video.

See: newStreamProcessorInput smart constructor.

Constructors

StreamProcessorInput' (Maybe KinesisVideoStream)

Instances

Instances details

FromJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods parseJSON :: Value -> Parser StreamProcessorInput # parseJSONList :: Value -> Parser [StreamProcessorInput] #
ToJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods toJSON :: StreamProcessorInput -> Value # toEncoding :: StreamProcessorInput -> Encoding # toJSONList :: [StreamProcessorInput] -> Value # toEncodingList :: [StreamProcessorInput] -> Encoding #
Generic StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Associated Types type Rep StreamProcessorInput :: Type -> Type # Methods from :: StreamProcessorInput -> Rep StreamProcessorInput x # to :: Rep StreamProcessorInput x -> StreamProcessorInput #
Read StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods readsPrec :: Int -> ReadS StreamProcessorInput # readList :: ReadS [StreamProcessorInput] # readPrec :: ReadPrec StreamProcessorInput # readListPrec :: ReadPrec [StreamProcessorInput] #
Show StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods showsPrec :: Int -> StreamProcessorInput -> ShowS # show :: StreamProcessorInput -> String # showList :: [StreamProcessorInput] -> ShowS #
NFData StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods rnf :: StreamProcessorInput -> () #
Eq StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods (==) :: StreamProcessorInput -> StreamProcessorInput -> Bool # (/=) :: StreamProcessorInput -> StreamProcessorInput -> Bool #
Hashable StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods hashWithSalt :: Int -> StreamProcessorInput -> Int # hash :: StreamProcessorInput -> Int #
type Rep StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput type Rep StreamProcessorInput = D1 ('MetaData "StreamProcessorInput" "Amazonka.Rekognition.Types.StreamProcessorInput" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kinesisVideoStream") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisVideoStream))))

newStreamProcessorInput :: StreamProcessorInput Source #

Create a value of StreamProcessorInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kinesisVideoStream:StreamProcessorInput', streamProcessorInput_kinesisVideoStream - The Kinesis video stream input stream for the source streaming video.

StreamProcessorNotificationChannel

data StreamProcessorNotificationChannel Source #

The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the object detection results and completion status of a video analysis operation.

Amazon Rekognition publishes a notification the first time an object of interest or a person is detected in the video stream. For example, if Amazon Rekognition detects a person at second 2, a pet at second 4, and a person again at second 5, Amazon Rekognition sends 2 object class detected notifications, one for a person at second 2 and one for a pet at second 4.

Amazon Rekognition also publishes an an end-of-session notification with a summary when the stream processing session is complete.

See: newStreamProcessorNotificationChannel smart constructor.

Constructors

StreamProcessorNotificationChannel' Text

Instances

Instances details

FromJSON StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods parseJSON :: Value -> Parser StreamProcessorNotificationChannel # parseJSONList :: Value -> Parser [StreamProcessorNotificationChannel] #
ToJSON StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods toJSON :: StreamProcessorNotificationChannel -> Value # toEncoding :: StreamProcessorNotificationChannel -> Encoding # toJSONList :: [StreamProcessorNotificationChannel] -> Value # toEncodingList :: [StreamProcessorNotificationChannel] -> Encoding #
Generic StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Associated Types type Rep StreamProcessorNotificationChannel :: Type -> Type # Methods from :: StreamProcessorNotificationChannel -> Rep StreamProcessorNotificationChannel x # to :: Rep StreamProcessorNotificationChannel x -> StreamProcessorNotificationChannel #
Read StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods readsPrec :: Int -> ReadS StreamProcessorNotificationChannel # readList :: ReadS [StreamProcessorNotificationChannel] # readPrec :: ReadPrec StreamProcessorNotificationChannel # readListPrec :: ReadPrec [StreamProcessorNotificationChannel] #
Show StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods showsPrec :: Int -> StreamProcessorNotificationChannel -> ShowS # show :: StreamProcessorNotificationChannel -> String # showList :: [StreamProcessorNotificationChannel] -> ShowS #
NFData StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods rnf :: StreamProcessorNotificationChannel -> () #
Eq StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods (==) :: StreamProcessorNotificationChannel -> StreamProcessorNotificationChannel -> Bool # (/=) :: StreamProcessorNotificationChannel -> StreamProcessorNotificationChannel -> Bool #
Hashable StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods hashWithSalt :: Int -> StreamProcessorNotificationChannel -> Int # hash :: StreamProcessorNotificationChannel -> Int #
type Rep StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel type Rep StreamProcessorNotificationChannel = D1 ('MetaData "StreamProcessorNotificationChannel" "Amazonka.Rekognition.Types.StreamProcessorNotificationChannel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorNotificationChannel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sNSTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newStreamProcessorNotificationChannel Source #

Arguments

:: Text	`$sel:sNSTopicArn:StreamProcessorNotificationChannel'`
-> StreamProcessorNotificationChannel

Create a value of StreamProcessorNotificationChannel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sNSTopicArn:StreamProcessorNotificationChannel', streamProcessorNotificationChannel_sNSTopicArn - The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification Service topic to which Amazon Rekognition posts the completion status.

StreamProcessorOutput

data StreamProcessorOutput Source #

Information about the Amazon Kinesis Data Streams stream to which a Amazon Rekognition Video stream processor streams the results of a video analysis. For more information, see CreateStreamProcessor in the Amazon Rekognition Developer Guide.

See: newStreamProcessorOutput smart constructor.

Constructors

StreamProcessorOutput' (Maybe KinesisDataStream) (Maybe S3Destination)

Instances

Instances details

FromJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods parseJSON :: Value -> Parser StreamProcessorOutput # parseJSONList :: Value -> Parser [StreamProcessorOutput] #
ToJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods toJSON :: StreamProcessorOutput -> Value # toEncoding :: StreamProcessorOutput -> Encoding # toJSONList :: [StreamProcessorOutput] -> Value # toEncodingList :: [StreamProcessorOutput] -> Encoding #
Generic StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Associated Types type Rep StreamProcessorOutput :: Type -> Type # Methods from :: StreamProcessorOutput -> Rep StreamProcessorOutput x # to :: Rep StreamProcessorOutput x -> StreamProcessorOutput #
Read StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods readsPrec :: Int -> ReadS StreamProcessorOutput # readList :: ReadS [StreamProcessorOutput] # readPrec :: ReadPrec StreamProcessorOutput # readListPrec :: ReadPrec [StreamProcessorOutput] #
Show StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods showsPrec :: Int -> StreamProcessorOutput -> ShowS # show :: StreamProcessorOutput -> String # showList :: [StreamProcessorOutput] -> ShowS #
NFData StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods rnf :: StreamProcessorOutput -> () #
Eq StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods (==) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool # (/=) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool #
Hashable StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods hashWithSalt :: Int -> StreamProcessorOutput -> Int # hash :: StreamProcessorOutput -> Int #
type Rep StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput type Rep StreamProcessorOutput = D1 ('MetaData "StreamProcessorOutput" "Amazonka.Rekognition.Types.StreamProcessorOutput" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kinesisDataStream") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisDataStream)) :*: S1 ('MetaSel ('Just "s3Destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Destination))))

newStreamProcessorOutput :: StreamProcessorOutput Source #

Create a value of StreamProcessorOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kinesisDataStream:StreamProcessorOutput', streamProcessorOutput_kinesisDataStream - The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results.

$sel:s3Destination:StreamProcessorOutput', streamProcessorOutput_s3Destination - The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.

StreamProcessorSettings

data StreamProcessorSettings Source #

Input parameters used in a streaming video analyzed by a Amazon Rekognition stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.

See: newStreamProcessorSettings smart constructor.

Constructors

StreamProcessorSettings' (Maybe ConnectedHomeSettings) (Maybe FaceSearchSettings)

Instances

Instances details

FromJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods parseJSON :: Value -> Parser StreamProcessorSettings # parseJSONList :: Value -> Parser [StreamProcessorSettings] #
ToJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods toJSON :: StreamProcessorSettings -> Value # toEncoding :: StreamProcessorSettings -> Encoding # toJSONList :: [StreamProcessorSettings] -> Value # toEncodingList :: [StreamProcessorSettings] -> Encoding #
Generic StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Associated Types type Rep StreamProcessorSettings :: Type -> Type # Methods from :: StreamProcessorSettings -> Rep StreamProcessorSettings x # to :: Rep StreamProcessorSettings x -> StreamProcessorSettings #
Read StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods readsPrec :: Int -> ReadS StreamProcessorSettings # readList :: ReadS [StreamProcessorSettings] # readPrec :: ReadPrec StreamProcessorSettings # readListPrec :: ReadPrec [StreamProcessorSettings] #
Show StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods showsPrec :: Int -> StreamProcessorSettings -> ShowS # show :: StreamProcessorSettings -> String # showList :: [StreamProcessorSettings] -> ShowS #
NFData StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods rnf :: StreamProcessorSettings -> () #
Eq StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods (==) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool # (/=) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool #
Hashable StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods hashWithSalt :: Int -> StreamProcessorSettings -> Int # hash :: StreamProcessorSettings -> Int #
type Rep StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings type Rep StreamProcessorSettings = D1 ('MetaData "StreamProcessorSettings" "Amazonka.Rekognition.Types.StreamProcessorSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedHome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConnectedHomeSettings)) :*: S1 ('MetaSel ('Just "faceSearch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceSearchSettings))))

newStreamProcessorSettings :: StreamProcessorSettings Source #

Create a value of StreamProcessorSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:connectedHome:StreamProcessorSettings', streamProcessorSettings_connectedHome - Undocumented member.

$sel:faceSearch:StreamProcessorSettings', streamProcessorSettings_faceSearch - Face search settings to use on a streaming video.

StreamProcessorSettingsForUpdate

data StreamProcessorSettingsForUpdate Source #

The stream processor settings that you want to update. ConnectedHome settings can be updated to detect different labels with a different minimum confidence.

See: newStreamProcessorSettingsForUpdate smart constructor.

Constructors

StreamProcessorSettingsForUpdate' (Maybe ConnectedHomeSettingsForUpdate)

Instances

Instances details

ToJSON StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods toJSON :: StreamProcessorSettingsForUpdate -> Value # toEncoding :: StreamProcessorSettingsForUpdate -> Encoding # toJSONList :: [StreamProcessorSettingsForUpdate] -> Value # toEncodingList :: [StreamProcessorSettingsForUpdate] -> Encoding #
Generic StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Associated Types type Rep StreamProcessorSettingsForUpdate :: Type -> Type # Methods from :: StreamProcessorSettingsForUpdate -> Rep StreamProcessorSettingsForUpdate x # to :: Rep StreamProcessorSettingsForUpdate x -> StreamProcessorSettingsForUpdate #
Read StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods readsPrec :: Int -> ReadS StreamProcessorSettingsForUpdate # readList :: ReadS [StreamProcessorSettingsForUpdate] # readPrec :: ReadPrec StreamProcessorSettingsForUpdate # readListPrec :: ReadPrec [StreamProcessorSettingsForUpdate] #
Show StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods showsPrec :: Int -> StreamProcessorSettingsForUpdate -> ShowS # show :: StreamProcessorSettingsForUpdate -> String # showList :: [StreamProcessorSettingsForUpdate] -> ShowS #
NFData StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods rnf :: StreamProcessorSettingsForUpdate -> () #
Eq StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods (==) :: StreamProcessorSettingsForUpdate -> StreamProcessorSettingsForUpdate -> Bool # (/=) :: StreamProcessorSettingsForUpdate -> StreamProcessorSettingsForUpdate -> Bool #
Hashable StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods hashWithSalt :: Int -> StreamProcessorSettingsForUpdate -> Int # hash :: StreamProcessorSettingsForUpdate -> Int #
type Rep StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate type Rep StreamProcessorSettingsForUpdate = D1 ('MetaData "StreamProcessorSettingsForUpdate" "Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorSettingsForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedHomeForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConnectedHomeSettingsForUpdate))))

newStreamProcessorSettingsForUpdate :: StreamProcessorSettingsForUpdate Source #

Create a value of StreamProcessorSettingsForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:connectedHomeForUpdate:StreamProcessorSettingsForUpdate', streamProcessorSettingsForUpdate_connectedHomeForUpdate - The label detection settings you want to use for your stream processor.

Summary

data Summary Source #

The S3 bucket that contains the training summary. The training summary includes aggregated evaluation metrics for the entire testing dataset and metrics for each individual label.

You get the training summary S3 bucket location by calling DescribeProjectVersions.

See: newSummary smart constructor.

Constructors

Summary' (Maybe S3Object)

Instances

Instances details

FromJSON Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods parseJSON :: Value -> Parser Summary # parseJSONList :: Value -> Parser [Summary] #
Generic Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Associated Types type Rep Summary :: Type -> Type # Methods from :: Summary -> Rep Summary x # to :: Rep Summary x -> Summary #
Read Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods readsPrec :: Int -> ReadS Summary # readList :: ReadS [Summary] # readPrec :: ReadPrec Summary # readListPrec :: ReadPrec [Summary] #
Show Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods showsPrec :: Int -> Summary -> ShowS # show :: Summary -> String # showList :: [Summary] -> ShowS #
NFData Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods rnf :: Summary -> () #
Eq Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods (==) :: Summary -> Summary -> Bool # (/=) :: Summary -> Summary -> Bool #
Hashable Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods hashWithSalt :: Int -> Summary -> Int # hash :: Summary -> Int #
type Rep Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary type Rep Summary = D1 ('MetaData "Summary" "Amazonka.Rekognition.Types.Summary" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Summary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newSummary :: Summary Source #

Create a value of Summary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Object:Summary', summary_s3Object - Undocumented member.

Sunglasses

data Sunglasses Source #

Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

See: newSunglasses smart constructor.

Constructors

Sunglasses' (Maybe Double) (Maybe Bool)

Instances

Instances details

FromJSON Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods parseJSON :: Value -> Parser Sunglasses # parseJSONList :: Value -> Parser [Sunglasses] #
Generic Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Associated Types type Rep Sunglasses :: Type -> Type # Methods from :: Sunglasses -> Rep Sunglasses x # to :: Rep Sunglasses x -> Sunglasses #
Read Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods readsPrec :: Int -> ReadS Sunglasses # readList :: ReadS [Sunglasses] # readPrec :: ReadPrec Sunglasses # readListPrec :: ReadPrec [Sunglasses] #
Show Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods showsPrec :: Int -> Sunglasses -> ShowS # show :: Sunglasses -> String # showList :: [Sunglasses] -> ShowS #
NFData Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods rnf :: Sunglasses -> () #
Eq Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods (==) :: Sunglasses -> Sunglasses -> Bool # (/=) :: Sunglasses -> Sunglasses -> Bool #
Hashable Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods hashWithSalt :: Int -> Sunglasses -> Int # hash :: Sunglasses -> Int #
type Rep Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses type Rep Sunglasses = D1 ('MetaData "Sunglasses" "Amazonka.Rekognition.Types.Sunglasses" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Sunglasses'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newSunglasses :: Sunglasses Source #

Create a value of Sunglasses with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:Sunglasses', sunglasses_confidence - Level of confidence in the determination.

$sel:value:Sunglasses', sunglasses_value - Boolean value that indicates whether the face is wearing sunglasses or not.

TechnicalCueSegment

data TechnicalCueSegment Source #

Information about a technical cue segment. For more information, see SegmentDetection.

See: newTechnicalCueSegment smart constructor.

Constructors

TechnicalCueSegment' (Maybe Double) (Maybe TechnicalCueType)

Instances

Instances details

FromJSON TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods parseJSON :: Value -> Parser TechnicalCueSegment # parseJSONList :: Value -> Parser [TechnicalCueSegment] #
Generic TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Associated Types type Rep TechnicalCueSegment :: Type -> Type # Methods from :: TechnicalCueSegment -> Rep TechnicalCueSegment x # to :: Rep TechnicalCueSegment x -> TechnicalCueSegment #
Read TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods readsPrec :: Int -> ReadS TechnicalCueSegment # readList :: ReadS [TechnicalCueSegment] # readPrec :: ReadPrec TechnicalCueSegment # readListPrec :: ReadPrec [TechnicalCueSegment] #
Show TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods showsPrec :: Int -> TechnicalCueSegment -> ShowS # show :: TechnicalCueSegment -> String # showList :: [TechnicalCueSegment] -> ShowS #
NFData TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods rnf :: TechnicalCueSegment -> () #
Eq TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods (==) :: TechnicalCueSegment -> TechnicalCueSegment -> Bool # (/=) :: TechnicalCueSegment -> TechnicalCueSegment -> Bool #
Hashable TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods hashWithSalt :: Int -> TechnicalCueSegment -> Int # hash :: TechnicalCueSegment -> Int #
type Rep TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment type Rep TechnicalCueSegment = D1 ('MetaData "TechnicalCueSegment" "Amazonka.Rekognition.Types.TechnicalCueSegment" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TechnicalCueSegment'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TechnicalCueType))))

newTechnicalCueSegment :: TechnicalCueSegment Source #

Create a value of TechnicalCueSegment with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:TechnicalCueSegment', technicalCueSegment_confidence - The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

$sel:type':TechnicalCueSegment', technicalCueSegment_type - The type of the technical cue.

TestingData

data TestingData Source #

The dataset used for testing. Optionally, if AutoCreate is set, Amazon Rekognition Custom Labels uses the training dataset to create a test dataset with a temporary split of the training dataset.

See: newTestingData smart constructor.

Constructors

TestingData' (Maybe [Asset]) (Maybe Bool)

Instances

Instances details

FromJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods parseJSON :: Value -> Parser TestingData # parseJSONList :: Value -> Parser [TestingData] #
ToJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods toJSON :: TestingData -> Value # toEncoding :: TestingData -> Encoding # toJSONList :: [TestingData] -> Value # toEncodingList :: [TestingData] -> Encoding #
Generic TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Associated Types type Rep TestingData :: Type -> Type # Methods from :: TestingData -> Rep TestingData x # to :: Rep TestingData x -> TestingData #
Read TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods readsPrec :: Int -> ReadS TestingData # readList :: ReadS [TestingData] # readPrec :: ReadPrec TestingData # readListPrec :: ReadPrec [TestingData] #
Show TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods showsPrec :: Int -> TestingData -> ShowS # show :: TestingData -> String # showList :: [TestingData] -> ShowS #
NFData TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods rnf :: TestingData -> () #
Eq TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods (==) :: TestingData -> TestingData -> Bool # (/=) :: TestingData -> TestingData -> Bool #
Hashable TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods hashWithSalt :: Int -> TestingData -> Int # hash :: TestingData -> Int #
type Rep TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData type Rep TestingData = D1 ('MetaData "TestingData" "Amazonka.Rekognition.Types.TestingData" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TestingData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset])) :*: S1 ('MetaSel ('Just "autoCreate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newTestingData :: TestingData Source #

Create a value of TestingData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:assets:TestingData', testingData_assets - The assets used for testing.

$sel:autoCreate:TestingData', testingData_autoCreate - If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

TestingDataResult

data TestingDataResult Source #

Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.

See: newTestingDataResult smart constructor.

Constructors

TestingDataResult' (Maybe TestingData) (Maybe TestingData) (Maybe ValidationData)

Instances

Instances details

FromJSON TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods parseJSON :: Value -> Parser TestingDataResult # parseJSONList :: Value -> Parser [TestingDataResult] #
Generic TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Associated Types type Rep TestingDataResult :: Type -> Type # Methods from :: TestingDataResult -> Rep TestingDataResult x # to :: Rep TestingDataResult x -> TestingDataResult #
Read TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods readsPrec :: Int -> ReadS TestingDataResult # readList :: ReadS [TestingDataResult] # readPrec :: ReadPrec TestingDataResult # readListPrec :: ReadPrec [TestingDataResult] #
Show TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods showsPrec :: Int -> TestingDataResult -> ShowS # show :: TestingDataResult -> String # showList :: [TestingDataResult] -> ShowS #
NFData TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods rnf :: TestingDataResult -> () #
Eq TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods (==) :: TestingDataResult -> TestingDataResult -> Bool # (/=) :: TestingDataResult -> TestingDataResult -> Bool #
Hashable TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods hashWithSalt :: Int -> TestingDataResult -> Int # hash :: TestingDataResult -> Int #
type Rep TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult type Rep TestingDataResult = D1 ('MetaData "TestingDataResult" "Amazonka.Rekognition.Types.TestingDataResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TestingDataResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :: S1 ('MetaSel ('Just "validation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ValidationData)))))

newTestingDataResult :: TestingDataResult Source #

Create a value of TestingDataResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:input:TestingDataResult', testingDataResult_input - The testing dataset that was supplied for training.

$sel:output:TestingDataResult', testingDataResult_output - The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

$sel:validation:TestingDataResult', testingDataResult_validation - The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.

TextDetection

data TextDetection Source #

Information about a word or line of text detected by DetectText.

The DetectedText field contains the text that Amazon Rekognition detected in the image.

Every word and line has an identifier (Id). Each word belongs to a line and has a parent identifier (ParentId) that identifies the line of text in which the word appears. The word Id is also an index for the word within a line of words.

For more information, see Detecting text in the Amazon Rekognition Developer Guide.

See: newTextDetection smart constructor.

Constructors

TextDetection' (Maybe Double) (Maybe Text) (Maybe Geometry) (Maybe Natural) (Maybe Natural) (Maybe TextTypes)

Instances

Instances details

FromJSON TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods parseJSON :: Value -> Parser TextDetection # parseJSONList :: Value -> Parser [TextDetection] #
Generic TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Associated Types type Rep TextDetection :: Type -> Type # Methods from :: TextDetection -> Rep TextDetection x # to :: Rep TextDetection x -> TextDetection #
Read TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods readsPrec :: Int -> ReadS TextDetection # readList :: ReadS [TextDetection] # readPrec :: ReadPrec TextDetection # readListPrec :: ReadPrec [TextDetection] #
Show TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods showsPrec :: Int -> TextDetection -> ShowS # show :: TextDetection -> String # showList :: [TextDetection] -> ShowS #
NFData TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods rnf :: TextDetection -> () #
Eq TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods (==) :: TextDetection -> TextDetection -> Bool # (/=) :: TextDetection -> TextDetection -> Bool #
Hashable TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods hashWithSalt :: Int -> TextDetection -> Int # hash :: TextDetection -> Int #
type Rep TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection type Rep TextDetection = D1 ('MetaData "TextDetection" "Amazonka.Rekognition.Types.TextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TextDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "detectedText") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)))) :: (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "parentId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TextTypes))))))

newTextDetection :: TextDetection Source #

Create a value of TextDetection with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:TextDetection', textDetection_confidence - The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.

$sel:detectedText:TextDetection', textDetection_detectedText - The word or line of text recognized by Amazon Rekognition.

$sel:geometry:TextDetection', textDetection_geometry - The location of the detected text on the image. Includes an axis aligned coarse bounding box surrounding the text and a finer grain polygon for more accurate spatial information.

$sel:id:TextDetection', textDetection_id - The identifier for the detected text. The identifier is only unique for a single call to DetectText.

$sel:parentId:TextDetection', textDetection_parentId - The Parent identifier for the detected text identified by the value of ID. If the type of detected text is LINE, the value of ParentId is Null.

$sel:type':TextDetection', textDetection_type - The type of text that was detected.

TextDetectionResult

data TextDetectionResult Source #

Information about text detected in a video. Incudes the detected text, the time in milliseconds from the start of the video that the text was detected, and where it was detected on the screen.

See: newTextDetectionResult smart constructor.

Constructors

TextDetectionResult' (Maybe TextDetection) (Maybe Integer)

Instances

Instances details

FromJSON TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods parseJSON :: Value -> Parser TextDetectionResult # parseJSONList :: Value -> Parser [TextDetectionResult] #
Generic TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Associated Types type Rep TextDetectionResult :: Type -> Type # Methods from :: TextDetectionResult -> Rep TextDetectionResult x # to :: Rep TextDetectionResult x -> TextDetectionResult #
Read TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods readsPrec :: Int -> ReadS TextDetectionResult # readList :: ReadS [TextDetectionResult] # readPrec :: ReadPrec TextDetectionResult # readListPrec :: ReadPrec [TextDetectionResult] #
Show TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods showsPrec :: Int -> TextDetectionResult -> ShowS # show :: TextDetectionResult -> String # showList :: [TextDetectionResult] -> ShowS #
NFData TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods rnf :: TextDetectionResult -> () #
Eq TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods (==) :: TextDetectionResult -> TextDetectionResult -> Bool # (/=) :: TextDetectionResult -> TextDetectionResult -> Bool #
Hashable TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods hashWithSalt :: Int -> TextDetectionResult -> Int # hash :: TextDetectionResult -> Int #
type Rep TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult type Rep TextDetectionResult = D1 ('MetaData "TextDetectionResult" "Amazonka.Rekognition.Types.TextDetectionResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TextDetectionResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "textDetection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TextDetection)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newTextDetectionResult :: TextDetectionResult Source #

Create a value of TextDetectionResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:textDetection:TextDetectionResult', textDetectionResult_textDetection - Details about text detected in a video.

$sel:timestamp:TextDetectionResult', textDetectionResult_timestamp - The time, in milliseconds from the start of the video, that the text was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the text first appears.

TrainingData

data TrainingData Source #

The dataset used for training.

See: newTrainingData smart constructor.

Constructors

TrainingData' (Maybe [Asset])

Instances

Instances details

FromJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods parseJSON :: Value -> Parser TrainingData # parseJSONList :: Value -> Parser [TrainingData] #
ToJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods toJSON :: TrainingData -> Value # toEncoding :: TrainingData -> Encoding # toJSONList :: [TrainingData] -> Value # toEncodingList :: [TrainingData] -> Encoding #
Generic TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Associated Types type Rep TrainingData :: Type -> Type # Methods from :: TrainingData -> Rep TrainingData x # to :: Rep TrainingData x -> TrainingData #
Read TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods readsPrec :: Int -> ReadS TrainingData # readList :: ReadS [TrainingData] # readPrec :: ReadPrec TrainingData # readListPrec :: ReadPrec [TrainingData] #
Show TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods showsPrec :: Int -> TrainingData -> ShowS # show :: TrainingData -> String # showList :: [TrainingData] -> ShowS #
NFData TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods rnf :: TrainingData -> () #
Eq TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods (==) :: TrainingData -> TrainingData -> Bool # (/=) :: TrainingData -> TrainingData -> Bool #
Hashable TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods hashWithSalt :: Int -> TrainingData -> Int # hash :: TrainingData -> Int #
type Rep TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData type Rep TrainingData = D1 ('MetaData "TrainingData" "Amazonka.Rekognition.Types.TrainingData" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TrainingData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset]))))

newTrainingData :: TrainingData Source #

Create a value of TrainingData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:assets:TrainingData', trainingData_assets - A Sagemaker GroundTruth manifest file that contains the training images (assets).

TrainingDataResult

data TrainingDataResult Source #

Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.

See: newTrainingDataResult smart constructor.

Constructors

TrainingDataResult' (Maybe TrainingData) (Maybe TrainingData) (Maybe ValidationData)

Instances

Instances details

FromJSON TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods parseJSON :: Value -> Parser TrainingDataResult # parseJSONList :: Value -> Parser [TrainingDataResult] #
Generic TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Associated Types type Rep TrainingDataResult :: Type -> Type # Methods from :: TrainingDataResult -> Rep TrainingDataResult x # to :: Rep TrainingDataResult x -> TrainingDataResult #
Read TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods readsPrec :: Int -> ReadS TrainingDataResult # readList :: ReadS [TrainingDataResult] # readPrec :: ReadPrec TrainingDataResult # readListPrec :: ReadPrec [TrainingDataResult] #
Show TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods showsPrec :: Int -> TrainingDataResult -> ShowS # show :: TrainingDataResult -> String # showList :: [TrainingDataResult] -> ShowS #
NFData TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods rnf :: TrainingDataResult -> () #
Eq TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods (==) :: TrainingDataResult -> TrainingDataResult -> Bool # (/=) :: TrainingDataResult -> TrainingDataResult -> Bool #
Hashable TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods hashWithSalt :: Int -> TrainingDataResult -> Int # hash :: TrainingDataResult -> Int #
type Rep TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult type Rep TrainingDataResult = D1 ('MetaData "TrainingDataResult" "Amazonka.Rekognition.Types.TrainingDataResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TrainingDataResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingData)) :: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingData)) :: S1 ('MetaSel ('Just "validation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ValidationData)))))

newTrainingDataResult :: TrainingDataResult Source #

Create a value of TrainingDataResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:input:TrainingDataResult', trainingDataResult_input - The training assets that you supplied for training.

$sel:output:TrainingDataResult', trainingDataResult_output - The images (assets) that were actually trained by Amazon Rekognition Custom Labels.

$sel:validation:TrainingDataResult', trainingDataResult_validation - The location of the data validation manifest. The data validation manifest is created for the training dataset during model training.

UnindexedFace

data UnindexedFace Source #

A face that IndexFaces detected, but didn't index. Use the Reasons response attribute to determine why a face wasn't indexed.

See: newUnindexedFace smart constructor.

Constructors

UnindexedFace' (Maybe FaceDetail) (Maybe [Reason])

Instances

Instances details

FromJSON UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods parseJSON :: Value -> Parser UnindexedFace # parseJSONList :: Value -> Parser [UnindexedFace] #
Generic UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Associated Types type Rep UnindexedFace :: Type -> Type # Methods from :: UnindexedFace -> Rep UnindexedFace x # to :: Rep UnindexedFace x -> UnindexedFace #
Read UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods readsPrec :: Int -> ReadS UnindexedFace # readList :: ReadS [UnindexedFace] # readPrec :: ReadPrec UnindexedFace # readListPrec :: ReadPrec [UnindexedFace] #
Show UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods showsPrec :: Int -> UnindexedFace -> ShowS # show :: UnindexedFace -> String # showList :: [UnindexedFace] -> ShowS #
NFData UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods rnf :: UnindexedFace -> () #
Eq UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods (==) :: UnindexedFace -> UnindexedFace -> Bool # (/=) :: UnindexedFace -> UnindexedFace -> Bool #
Hashable UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods hashWithSalt :: Int -> UnindexedFace -> Int # hash :: UnindexedFace -> Int #
type Rep UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace type Rep UnindexedFace = D1 ('MetaData "UnindexedFace" "Amazonka.Rekognition.Types.UnindexedFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UnindexedFace'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :*: S1 ('MetaSel ('Just "reasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Reason]))))

newUnindexedFace :: UnindexedFace Source #

Create a value of UnindexedFace with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:faceDetail:UnindexedFace', unindexedFace_faceDetail - The structure that contains attributes of a face that IndexFacesdetected, but didn't index.

$sel:reasons:UnindexedFace', unindexedFace_reasons - An array of reasons that specify why a face wasn't indexed.

EXTREME_POSE - The face is at a pose that can't be detected. For example, the head is turned too far away from the camera.
EXCEEDS_MAX_FACES - The number of faces detected is already higher than that specified by the MaxFaces input parameter for IndexFaces.
LOW_BRIGHTNESS - The image is too dark.
LOW_SHARPNESS - The image is too blurry.
LOW_CONFIDENCE - The face was detected with a low confidence.
SMALL_BOUNDING_BOX - The bounding box around the face is too small.

ValidationData

data ValidationData Source #

Contains the Amazon S3 bucket location of the validation data for a model training job.

The validation data includes error information for individual JSON Lines in the dataset. For more information, see /Debugging a Failed Model Training/ in the Amazon Rekognition Custom Labels Developer Guide.

You get the ValidationData object for the training dataset (TrainingDataResult) and the test dataset (TestingDataResult) by calling DescribeProjectVersions.

The assets array contains a single Asset object. The GroundTruthManifest field of the Asset object contains the S3 bucket location of the validation data.

See: newValidationData smart constructor.

Constructors

ValidationData' (Maybe [Asset])

Instances

Instances details

FromJSON ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods parseJSON :: Value -> Parser ValidationData # parseJSONList :: Value -> Parser [ValidationData] #
Generic ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Associated Types type Rep ValidationData :: Type -> Type # Methods from :: ValidationData -> Rep ValidationData x # to :: Rep ValidationData x -> ValidationData #
Read ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods readsPrec :: Int -> ReadS ValidationData # readList :: ReadS [ValidationData] # readPrec :: ReadPrec ValidationData # readListPrec :: ReadPrec [ValidationData] #
Show ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods showsPrec :: Int -> ValidationData -> ShowS # show :: ValidationData -> String # showList :: [ValidationData] -> ShowS #
NFData ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods rnf :: ValidationData -> () #
Eq ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods (==) :: ValidationData -> ValidationData -> Bool # (/=) :: ValidationData -> ValidationData -> Bool #
Hashable ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods hashWithSalt :: Int -> ValidationData -> Int # hash :: ValidationData -> Int #
type Rep ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData type Rep ValidationData = D1 ('MetaData "ValidationData" "Amazonka.Rekognition.Types.ValidationData" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ValidationData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset]))))

newValidationData :: ValidationData Source #

Create a value of ValidationData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:assets:ValidationData', validationData_assets - The assets that comprise the validation data.

Video

data Video Source #

Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as StartLabelDetection use Video to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.

See: newVideo smart constructor.

Constructors

Video' (Maybe S3Object)

Instances

Instances details

ToJSON Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods toJSON :: Video -> Value # toEncoding :: Video -> Encoding # toJSONList :: [Video] -> Value # toEncodingList :: [Video] -> Encoding #
Generic Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Associated Types type Rep Video :: Type -> Type # Methods from :: Video -> Rep Video x # to :: Rep Video x -> Video #
Read Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods readsPrec :: Int -> ReadS Video # readList :: ReadS [Video] # readPrec :: ReadPrec Video # readListPrec :: ReadPrec [Video] #
Show Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods showsPrec :: Int -> Video -> ShowS # show :: Video -> String # showList :: [Video] -> ShowS #
NFData Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods rnf :: Video -> () #
Eq Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods (==) :: Video -> Video -> Bool # (/=) :: Video -> Video -> Bool #
Hashable Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods hashWithSalt :: Int -> Video -> Int # hash :: Video -> Int #
type Rep Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video type Rep Video = D1 ('MetaData "Video" "Amazonka.Rekognition.Types.Video" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Video'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newVideo :: Video Source #

Create a value of Video with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Object:Video', video_s3Object - The Amazon S3 bucket name and file name for the video.

VideoMetadata

data VideoMetadata Source #

Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.

See: newVideoMetadata smart constructor.

Constructors

VideoMetadata' (Maybe Text) (Maybe VideoColorRange) (Maybe Natural) (Maybe Text) (Maybe Natural) (Maybe Double) (Maybe Natural)

Instances

Instances details

FromJSON VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods parseJSON :: Value -> Parser VideoMetadata # parseJSONList :: Value -> Parser [VideoMetadata] #
Generic VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Associated Types type Rep VideoMetadata :: Type -> Type # Methods from :: VideoMetadata -> Rep VideoMetadata x # to :: Rep VideoMetadata x -> VideoMetadata #
Read VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods readsPrec :: Int -> ReadS VideoMetadata # readList :: ReadS [VideoMetadata] # readPrec :: ReadPrec VideoMetadata # readListPrec :: ReadPrec [VideoMetadata] #
Show VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods showsPrec :: Int -> VideoMetadata -> ShowS # show :: VideoMetadata -> String # showList :: [VideoMetadata] -> ShowS #
NFData VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods rnf :: VideoMetadata -> () #
Eq VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods (==) :: VideoMetadata -> VideoMetadata -> Bool # (/=) :: VideoMetadata -> VideoMetadata -> Bool #
Hashable VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods hashWithSalt :: Int -> VideoMetadata -> Int # hash :: VideoMetadata -> Int #
type Rep VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata type Rep VideoMetadata = D1 ('MetaData "VideoMetadata" "Amazonka.Rekognition.Types.VideoMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "VideoMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "colorRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoColorRange)) :: S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "frameHeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "frameRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "frameWidth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newVideoMetadata :: VideoMetadata Source #

Create a value of VideoMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:codec:VideoMetadata', videoMetadata_codec - Type of compression used in the analyzed video.

$sel:colorRange:VideoMetadata', videoMetadata_colorRange - A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).

$sel:durationMillis:VideoMetadata', videoMetadata_durationMillis - Length of the video in milliseconds.

$sel:format:VideoMetadata', videoMetadata_format - Format of the analyzed video. Possible values are MP4, MOV and AVI.

$sel:frameHeight:VideoMetadata', videoMetadata_frameHeight - Vertical pixel dimension of the video.

$sel:frameRate:VideoMetadata', videoMetadata_frameRate - Number of frames per second in the video.

$sel:frameWidth:VideoMetadata', videoMetadata_frameWidth - Horizontal pixel dimension of the video.