Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

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 Amazon Rekognition API reference.

Synopsis

defaultService :: Service
_AccessDeniedException :: AsError a => Getting (First ServiceError) a ServiceError
_VideoTooLargeException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidParameterException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidImageFormatException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceAlreadyExistsException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidS3ObjectException :: AsError a => Getting (First ServiceError) a ServiceError
_ProvisionedThroughputExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_ImageTooLargeException :: AsError a => Getting (First ServiceError) a ServiceError
_ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError
_InternalServerError :: AsError a => Getting (First ServiceError) a ServiceError
_IdempotentParameterMismatchException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceNotReadyException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError
_HumanLoopQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidPaginationTokenException :: AsError a => Getting (First ServiceError) a ServiceError
_LimitExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceInUseException :: AsError a => Getting (First ServiceError) a ServiceError
newProjectVersionRunning :: Wait DescribeProjectVersions
newProjectVersionTrainingCompleted :: Wait DescribeProjectVersions
data DetectProtectiveEquipment = DetectProtectiveEquipment' (Maybe ProtectiveEquipmentSummarizationAttributes) Image
newDetectProtectiveEquipment :: Image -> DetectProtectiveEquipment
data DetectProtectiveEquipmentResponse = DetectProtectiveEquipmentResponse' (Maybe ProtectiveEquipmentSummary) (Maybe Text) (Maybe [ProtectiveEquipmentPerson]) Int
newDetectProtectiveEquipmentResponse :: Int -> DetectProtectiveEquipmentResponse
data DeleteProject = DeleteProject' Text
newDeleteProject :: Text -> DeleteProject
data DeleteProjectResponse = DeleteProjectResponse' (Maybe ProjectStatus) Int
newDeleteProjectResponse :: Int -> DeleteProjectResponse
data StartCelebrityRecognition = StartCelebrityRecognition' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video
newStartCelebrityRecognition :: Video -> StartCelebrityRecognition
data StartCelebrityRecognitionResponse = StartCelebrityRecognitionResponse' (Maybe Text) Int
newStartCelebrityRecognitionResponse :: Int -> StartCelebrityRecognitionResponse
data GetPersonTracking = GetPersonTracking' (Maybe Text) (Maybe Natural) (Maybe PersonTrackingSortBy) Text
newGetPersonTracking :: Text -> GetPersonTracking
data GetPersonTrackingResponse = GetPersonTrackingResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe [PersonDetection]) Int
newGetPersonTrackingResponse :: Int -> GetPersonTrackingResponse
data GetTextDetection = GetTextDetection' (Maybe Text) (Maybe Natural) Text
newGetTextDetection :: Text -> GetTextDetection
data GetTextDetectionResponse = GetTextDetectionResponse' (Maybe [TextDetectionResult]) (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe Text) (Maybe VideoJobStatus) Int
newGetTextDetectionResponse :: Int -> GetTextDetectionResponse
data StartSegmentDetection = StartSegmentDetection' (Maybe Text) (Maybe StartSegmentDetectionFilters) (Maybe NotificationChannel) (Maybe Text) Video (NonEmpty SegmentType)
newStartSegmentDetection :: Video -> NonEmpty SegmentType -> StartSegmentDetection
data StartSegmentDetectionResponse = StartSegmentDetectionResponse' (Maybe Text) Int
newStartSegmentDetectionResponse :: Int -> StartSegmentDetectionResponse
data ListCollections = ListCollections' (Maybe Text) (Maybe Natural)
newListCollections :: ListCollections
data ListCollectionsResponse = ListCollectionsResponse' (Maybe [Text]) (Maybe Text) (Maybe [Text]) Int
newListCollectionsResponse :: Int -> ListCollectionsResponse
data StartProjectVersion = StartProjectVersion' Text Natural
newStartProjectVersion :: Text -> Natural -> StartProjectVersion
data StartProjectVersionResponse = StartProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newStartProjectVersionResponse :: Int -> StartProjectVersionResponse
data DeleteCollection = DeleteCollection' Text
newDeleteCollection :: Text -> DeleteCollection
data DeleteCollectionResponse = DeleteCollectionResponse' (Maybe Natural) Int
newDeleteCollectionResponse :: Int -> DeleteCollectionResponse
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 StopStreamProcessor = StopStreamProcessor' Text
newStopStreamProcessor :: Text -> StopStreamProcessor
data StopStreamProcessorResponse = StopStreamProcessorResponse' Int
newStopStreamProcessorResponse :: Int -> StopStreamProcessorResponse
data DetectLabels = DetectLabels' (Maybe Double) (Maybe Natural) Image
newDetectLabels :: Image -> DetectLabels
data DetectLabelsResponse = DetectLabelsResponse' (Maybe [Label]) (Maybe OrientationCorrection) (Maybe Text) Int
newDetectLabelsResponse :: Int -> DetectLabelsResponse
data ListTagsForResource = ListTagsForResource' Text
newListTagsForResource :: Text -> ListTagsForResource
data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe (HashMap Text Text)) Int
newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
data StartContentModeration = StartContentModeration' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe Double) Video
newStartContentModeration :: Video -> StartContentModeration
data StartContentModerationResponse = StartContentModerationResponse' (Maybe Text) Int
newStartContentModerationResponse :: Int -> StartContentModerationResponse
data SearchFacesByImage = SearchFacesByImage' (Maybe QualityFilter) (Maybe Double) (Maybe Natural) Text Image
newSearchFacesByImage :: Text -> Image -> SearchFacesByImage
data SearchFacesByImageResponse = SearchFacesByImageResponse' (Maybe [FaceMatch]) (Maybe Text) (Maybe BoundingBox) (Maybe Double) Int
newSearchFacesByImageResponse :: Int -> SearchFacesByImageResponse
data ListStreamProcessors = ListStreamProcessors' (Maybe Text) (Maybe Natural)
newListStreamProcessors :: ListStreamProcessors
data ListStreamProcessorsResponse = ListStreamProcessorsResponse' (Maybe [StreamProcessor]) (Maybe Text) Int
newListStreamProcessorsResponse :: Int -> ListStreamProcessorsResponse
data DescribeCollection = DescribeCollection' Text
newDescribeCollection :: Text -> DescribeCollection
data DescribeCollectionResponse = DescribeCollectionResponse' (Maybe Text) (Maybe Natural) (Maybe POSIX) (Maybe Text) Int
newDescribeCollectionResponse :: Int -> DescribeCollectionResponse
data DeleteProjectVersion = DeleteProjectVersion' Text
newDeleteProjectVersion :: Text -> DeleteProjectVersion
data DeleteProjectVersionResponse = DeleteProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newDeleteProjectVersionResponse :: Int -> DeleteProjectVersionResponse
data DescribeProjectVersions = DescribeProjectVersions' (Maybe Text) (Maybe (NonEmpty Text)) (Maybe Natural) Text
newDescribeProjectVersions :: Text -> DescribeProjectVersions
data DescribeProjectVersionsResponse = DescribeProjectVersionsResponse' (Maybe Text) (Maybe [ProjectVersionDescription]) Int
newDescribeProjectVersionsResponse :: Int -> DescribeProjectVersionsResponse
data RecognizeCelebrities = RecognizeCelebrities' Image
newRecognizeCelebrities :: Image -> RecognizeCelebrities
data RecognizeCelebritiesResponse = RecognizeCelebritiesResponse' (Maybe [Celebrity]) (Maybe OrientationCorrection) (Maybe [ComparedFace]) Int
newRecognizeCelebritiesResponse :: Int -> RecognizeCelebritiesResponse
data DetectCustomLabels = DetectCustomLabels' (Maybe Double) (Maybe Natural) Text Image
newDetectCustomLabels :: Text -> Image -> DetectCustomLabels
data DetectCustomLabelsResponse = DetectCustomLabelsResponse' (Maybe [CustomLabel]) Int
newDetectCustomLabelsResponse :: Int -> DetectCustomLabelsResponse
data GetFaceSearch = GetFaceSearch' (Maybe Text) (Maybe Natural) (Maybe FaceSearchSortBy) Text
newGetFaceSearch :: Text -> GetFaceSearch
data GetFaceSearchResponse = GetFaceSearchResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe [PersonMatch]) Int
newGetFaceSearchResponse :: Int -> GetFaceSearchResponse
data StartLabelDetection = StartLabelDetection' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe Double) Video
newStartLabelDetection :: Video -> StartLabelDetection
data StartLabelDetectionResponse = StartLabelDetectionResponse' (Maybe Text) Int
newStartLabelDetectionResponse :: Int -> StartLabelDetectionResponse
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 IndexFaces = IndexFaces' (Maybe Text) (Maybe QualityFilter) (Maybe Natural) (Maybe [Attribute]) Text Image
newIndexFaces :: Text -> Image -> IndexFaces
data IndexFacesResponse = IndexFacesResponse' (Maybe Text) (Maybe [FaceRecord]) (Maybe OrientationCorrection) (Maybe [UnindexedFace]) Int
newIndexFacesResponse :: Int -> IndexFacesResponse
data GetLabelDetection = GetLabelDetection' (Maybe Text) (Maybe Natural) (Maybe LabelDetectionSortBy) Text
newGetLabelDetection :: Text -> GetLabelDetection
data GetLabelDetectionResponse = GetLabelDetectionResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [LabelDetection]) (Maybe VideoJobStatus) (Maybe Text) Int
newGetLabelDetectionResponse :: Int -> GetLabelDetectionResponse
data StopProjectVersion = StopProjectVersion' Text
newStopProjectVersion :: Text -> StopProjectVersion
data StopProjectVersionResponse = StopProjectVersionResponse' (Maybe ProjectVersionStatus) Int
newStopProjectVersionResponse :: Int -> StopProjectVersionResponse
data DescribeStreamProcessor = DescribeStreamProcessor' Text
newDescribeStreamProcessor :: Text -> DescribeStreamProcessor
data DescribeStreamProcessorResponse = DescribeStreamProcessorResponse' (Maybe StreamProcessorStatus) (Maybe StreamProcessorSettings) (Maybe StreamProcessorInput) (Maybe StreamProcessorOutput) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) Int
newDescribeStreamProcessorResponse :: Int -> DescribeStreamProcessorResponse
data StartFaceSearch = StartFaceSearch' (Maybe Double) (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video Text
newStartFaceSearch :: Video -> Text -> StartFaceSearch
data StartFaceSearchResponse = StartFaceSearchResponse' (Maybe Text) Int
newStartFaceSearchResponse :: Int -> StartFaceSearchResponse
data StartTextDetection = StartTextDetection' (Maybe Text) (Maybe StartTextDetectionFilters) (Maybe NotificationChannel) (Maybe Text) Video
newStartTextDetection :: Video -> StartTextDetection
data StartTextDetectionResponse = StartTextDetectionResponse' (Maybe Text) Int
newStartTextDetectionResponse :: Int -> StartTextDetectionResponse
data StartPersonTracking = StartPersonTracking' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video
newStartPersonTracking :: Video -> StartPersonTracking
data StartPersonTrackingResponse = StartPersonTrackingResponse' (Maybe Text) Int
newStartPersonTrackingResponse :: Int -> StartPersonTrackingResponse
data GetCelebrityRecognition = GetCelebrityRecognition' (Maybe Text) (Maybe Natural) (Maybe CelebrityRecognitionSortBy) Text
newGetCelebrityRecognition :: Text -> GetCelebrityRecognition
data GetCelebrityRecognitionResponse = GetCelebrityRecognitionResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [CelebrityRecognition]) (Maybe VideoJobStatus) Int
newGetCelebrityRecognitionResponse :: Int -> GetCelebrityRecognitionResponse
data StartStreamProcessor = StartStreamProcessor' Text
newStartStreamProcessor :: Text -> StartStreamProcessor
data StartStreamProcessorResponse = StartStreamProcessorResponse' Int
newStartStreamProcessorResponse :: Int -> StartStreamProcessorResponse
data DetectText = DetectText' (Maybe DetectTextFilters) Image
newDetectText :: Image -> DetectText
data DetectTextResponse = DetectTextResponse' (Maybe [TextDetection]) (Maybe Text) Int
newDetectTextResponse :: Int -> DetectTextResponse
data GetSegmentDetection = GetSegmentDetection' (Maybe Text) (Maybe Natural) Text
newGetSegmentDetection :: Text -> GetSegmentDetection
data GetSegmentDetectionResponse = GetSegmentDetectionResponse' (Maybe [SegmentTypeInfo]) (Maybe Text) (Maybe [VideoMetadata]) (Maybe Text) (Maybe [SegmentDetection]) (Maybe VideoJobStatus) (Maybe [AudioMetadata]) Int
newGetSegmentDetectionResponse :: Int -> GetSegmentDetectionResponse
data CompareFaces = CompareFaces' (Maybe QualityFilter) (Maybe Double) Image Image
newCompareFaces :: Image -> Image -> CompareFaces
data CompareFacesResponse = CompareFacesResponse' (Maybe [CompareFacesMatch]) (Maybe [ComparedFace]) (Maybe OrientationCorrection) (Maybe OrientationCorrection) (Maybe ComparedSourceImageFace) Int
newCompareFacesResponse :: Int -> CompareFacesResponse
data DetectFaces = DetectFaces' (Maybe [Attribute]) Image
newDetectFaces :: Image -> DetectFaces
data DetectFacesResponse = DetectFacesResponse' (Maybe OrientationCorrection) (Maybe [FaceDetail]) Int
newDetectFacesResponse :: Int -> DetectFacesResponse
data GetFaceDetection = GetFaceDetection' (Maybe Text) (Maybe Natural) Text
newGetFaceDetection :: Text -> GetFaceDetection
data GetFaceDetectionResponse = GetFaceDetectionResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [FaceDetection]) (Maybe VideoJobStatus) Int
newGetFaceDetectionResponse :: Int -> GetFaceDetectionResponse
data TagResource = TagResource' Text (HashMap Text Text)
newTagResource :: Text -> TagResource
data TagResourceResponse = TagResourceResponse' Int
newTagResourceResponse :: Int -> TagResourceResponse
data ListFaces = ListFaces' (Maybe Text) (Maybe Natural) Text
newListFaces :: Text -> ListFaces
data ListFacesResponse = ListFacesResponse' (Maybe Text) (Maybe Text) (Maybe [Face]) Int
newListFacesResponse :: Int -> ListFacesResponse
data CreateProjectVersion = CreateProjectVersion' (Maybe Text) (Maybe (HashMap Text Text)) Text Text OutputConfig TrainingData TestingData
newCreateProjectVersion :: Text -> Text -> OutputConfig -> TrainingData -> TestingData -> CreateProjectVersion
data CreateProjectVersionResponse = CreateProjectVersionResponse' (Maybe Text) Int
newCreateProjectVersionResponse :: Int -> CreateProjectVersionResponse
data DescribeProjects = DescribeProjects' (Maybe Text) (Maybe Natural)
newDescribeProjects :: DescribeProjects
data DescribeProjectsResponse = DescribeProjectsResponse' (Maybe Text) (Maybe [ProjectDescription]) Int
newDescribeProjectsResponse :: Int -> DescribeProjectsResponse
data GetContentModeration = GetContentModeration' (Maybe Text) (Maybe Natural) (Maybe ContentModerationSortBy) Text
newGetContentModeration :: Text -> GetContentModeration
data GetContentModerationResponse = GetContentModerationResponse' (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe Text) (Maybe [ContentModerationDetection]) Int
newGetContentModerationResponse :: Int -> GetContentModerationResponse
data DeleteFaces = DeleteFaces' Text (NonEmpty Text)
newDeleteFaces :: Text -> NonEmpty Text -> DeleteFaces
data DeleteFacesResponse = DeleteFacesResponse' (Maybe (NonEmpty Text)) Int
newDeleteFacesResponse :: Int -> DeleteFacesResponse
data GetCelebrityInfo = GetCelebrityInfo' Text
newGetCelebrityInfo :: Text -> GetCelebrityInfo
data GetCelebrityInfoResponse = GetCelebrityInfoResponse' (Maybe [Text]) (Maybe KnownGender) (Maybe Text) Int
newGetCelebrityInfoResponse :: Int -> GetCelebrityInfoResponse
data DeleteStreamProcessor = DeleteStreamProcessor' Text
newDeleteStreamProcessor :: Text -> DeleteStreamProcessor
data DeleteStreamProcessorResponse = DeleteStreamProcessorResponse' Int
newDeleteStreamProcessorResponse :: Int -> DeleteStreamProcessorResponse
data UntagResource = UntagResource' Text [Text]
newUntagResource :: Text -> UntagResource
data UntagResourceResponse = UntagResourceResponse' Int
newUntagResourceResponse :: Int -> UntagResourceResponse
data DetectModerationLabels = DetectModerationLabels' (Maybe HumanLoopConfig) (Maybe Double) Image
newDetectModerationLabels :: Image -> DetectModerationLabels
data DetectModerationLabelsResponse = DetectModerationLabelsResponse' (Maybe HumanLoopActivationOutput) (Maybe Text) (Maybe [ModerationLabel]) Int
newDetectModerationLabelsResponse :: Int -> DetectModerationLabelsResponse
data CreateStreamProcessor = CreateStreamProcessor' (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 StartFaceDetection = StartFaceDetection' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe FaceAttributes) Video
newStartFaceDetection :: Video -> StartFaceDetection
data StartFaceDetectionResponse = StartFaceDetectionResponse' (Maybe Text) Int
newStartFaceDetectionResponse :: Int -> StartFaceDetectionResponse
data CreateProject = CreateProject' Text
newCreateProject :: Text -> CreateProject
data CreateProjectResponse = CreateProjectResponse' (Maybe Text) Int
newCreateProjectResponse :: Int -> CreateProjectResponse
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 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
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_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 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
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 Bool) (Maybe Double)
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 Double) (Maybe [Text]) (Maybe KnownGender) (Maybe Text) (Maybe Text) (Maybe ComparedFace)
newCelebrity :: Celebrity
data CelebrityDetail = CelebrityDetail' (Maybe BoundingBox) (Maybe [Text]) (Maybe Double) (Maybe Text) (Maybe Text) (Maybe FaceDetail)
newCelebrityDetail :: CelebrityDetail
data CelebrityRecognition = CelebrityRecognition' (Maybe CelebrityDetail) (Maybe Integer)
newCelebrityRecognition :: CelebrityRecognition
data CompareFacesMatch = CompareFacesMatch' (Maybe Double) (Maybe ComparedFace)
newCompareFacesMatch :: CompareFacesMatch
data ComparedFace = ComparedFace' (Maybe BoundingBox) (Maybe [Emotion]) (Maybe Pose) (Maybe Double) (Maybe ImageQuality) (Maybe Smile) (Maybe [Landmark])
newComparedFace :: ComparedFace
data ComparedSourceImageFace = ComparedSourceImageFace' (Maybe BoundingBox) (Maybe Double)
newComparedSourceImageFace :: ComparedSourceImageFace
data ContentModerationDetection = ContentModerationDetection' (Maybe ModerationLabel) (Maybe Integer)
newContentModerationDetection :: ContentModerationDetection
data CoversBodyPart = CoversBodyPart' (Maybe Bool) (Maybe Double)
newCoversBodyPart :: CoversBodyPart
data CustomLabel = CustomLabel' (Maybe Double) (Maybe Text) (Maybe Geometry)
newCustomLabel :: CustomLabel
data DetectTextFilters = DetectTextFilters' (Maybe [RegionOfInterest]) (Maybe DetectionFilter)
newDetectTextFilters :: DetectTextFilters
data DetectionFilter = DetectionFilter' (Maybe Double) (Maybe Double) (Maybe Double)
newDetectionFilter :: DetectionFilter
data Emotion = Emotion' (Maybe Double) (Maybe EmotionName)
newEmotion :: Emotion
data EquipmentDetection = EquipmentDetection' (Maybe BoundingBox) (Maybe CoversBodyPart) (Maybe Double) (Maybe ProtectiveEquipmentType)
newEquipmentDetection :: EquipmentDetection
data EvaluationResult = EvaluationResult' (Maybe Summary) (Maybe Double)
newEvaluationResult :: EvaluationResult
data EyeOpen = EyeOpen' (Maybe Bool) (Maybe Double)
newEyeOpen :: EyeOpen
data Eyeglasses = Eyeglasses' (Maybe Bool) (Maybe Double)
newEyeglasses :: Eyeglasses
data Face = Face' (Maybe Text) (Maybe BoundingBox) (Maybe Text) (Maybe Double) (Maybe Text)
newFace :: Face
data FaceDetail = FaceDetail' (Maybe AgeRange) (Maybe Sunglasses) (Maybe MouthOpen) (Maybe BoundingBox) (Maybe [Emotion]) (Maybe EyeOpen) (Maybe Pose) (Maybe Double) (Maybe Gender) (Maybe ImageQuality) (Maybe Eyeglasses) (Maybe Beard) (Maybe Mustache) (Maybe Smile) (Maybe [Landmark])
newFaceDetail :: FaceDetail
data FaceDetection = FaceDetection' (Maybe Integer) (Maybe FaceDetail)
newFaceDetection :: FaceDetection
data FaceMatch = FaceMatch' (Maybe Double) (Maybe Face)
newFaceMatch :: FaceMatch
data FaceRecord = FaceRecord' (Maybe FaceDetail) (Maybe Face)
newFaceRecord :: FaceRecord
data FaceSearchSettings = FaceSearchSettings' (Maybe Double) (Maybe Text)
newFaceSearchSettings :: FaceSearchSettings
data Gender = Gender' (Maybe GenderType) (Maybe Double)
newGender :: Gender
data Geometry = Geometry' (Maybe BoundingBox) (Maybe [Point])
newGeometry :: Geometry
data GroundTruthManifest = GroundTruthManifest' (Maybe S3Object)
newGroundTruthManifest :: GroundTruthManifest
data HumanLoopActivationOutput = HumanLoopActivationOutput' (Maybe (NonEmpty Text)) (Maybe 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 S3Object) (Maybe Base64)
newImage :: Image
data ImageQuality = ImageQuality' (Maybe Double) (Maybe Double)
newImageQuality :: ImageQuality
data Instance = Instance' (Maybe BoundingBox) (Maybe Double)
newInstance :: Instance
data KinesisDataStream = KinesisDataStream' (Maybe Text)
newKinesisDataStream :: KinesisDataStream
data KinesisVideoStream = KinesisVideoStream' (Maybe Text)
newKinesisVideoStream :: KinesisVideoStream
data KnownGender = KnownGender' (Maybe KnownGenderType)
newKnownGender :: KnownGender
data Label = Label' (Maybe Double) (Maybe [Parent]) (Maybe Text) (Maybe [Instance])
newLabel :: Label
data LabelDetection = LabelDetection' (Maybe Label) (Maybe Integer)
newLabelDetection :: LabelDetection
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 Bool) (Maybe Double)
newMouthOpen :: MouthOpen
data Mustache = Mustache' (Maybe Bool) (Maybe Double)
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 Integer) (Maybe FaceDetail)
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 ProjectStatus) (Maybe POSIX) (Maybe Text)
newProjectDescription :: ProjectDescription
data ProjectVersionDescription = ProjectVersionDescription' (Maybe Natural) (Maybe ProjectVersionStatus) (Maybe EvaluationResult) (Maybe GroundTruthManifest) (Maybe Text) (Maybe TestingDataResult) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe OutputConfig) (Maybe Natural) (Maybe POSIX) (Maybe TrainingDataResult)
newProjectVersionDescription :: ProjectVersionDescription
data ProtectiveEquipmentBodyPart = ProtectiveEquipmentBodyPart' (Maybe [EquipmentDetection]) (Maybe Double) (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)
newRegionOfInterest :: RegionOfInterest
data S3Object = S3Object' (Maybe Text) (Maybe Text) (Maybe Text)
newS3Object :: S3Object
data SegmentDetection = SegmentDetection' (Maybe TechnicalCueSegment) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe Natural) (Maybe Natural) (Maybe Integer) (Maybe SegmentType) (Maybe ShotSegment) (Maybe Natural)
newSegmentDetection :: SegmentDetection
data SegmentTypeInfo = SegmentTypeInfo' (Maybe Text) (Maybe SegmentType)
newSegmentTypeInfo :: SegmentTypeInfo
data ShotSegment = ShotSegment' (Maybe Double) (Maybe Natural)
newShotSegment :: ShotSegment
data Smile = Smile' (Maybe Bool) (Maybe Double)
newSmile :: Smile
data StartSegmentDetectionFilters = StartSegmentDetectionFilters' (Maybe StartTechnicalCueDetectionFilter) (Maybe StartShotDetectionFilter)
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 StreamProcessor = StreamProcessor' (Maybe StreamProcessorStatus) (Maybe Text)
newStreamProcessor :: StreamProcessor
data StreamProcessorInput = StreamProcessorInput' (Maybe KinesisVideoStream)
newStreamProcessorInput :: StreamProcessorInput
data StreamProcessorOutput = StreamProcessorOutput' (Maybe KinesisDataStream)
newStreamProcessorOutput :: StreamProcessorOutput
data StreamProcessorSettings = StreamProcessorSettings' (Maybe FaceSearchSettings)
newStreamProcessorSettings :: StreamProcessorSettings
data Summary = Summary' (Maybe S3Object)
newSummary :: Summary
data Sunglasses = Sunglasses' (Maybe Bool) (Maybe Double)
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 Text) (Maybe Double) (Maybe Geometry) (Maybe Natural) (Maybe TextTypes) (Maybe Natural)
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 [Reason]) (Maybe FaceDetail)
newUnindexedFace :: UnindexedFace
data ValidationData = ValidationData' (Maybe [Asset])
newValidationData :: ValidationData
data Video = Video' (Maybe S3Object)
newVideo :: Video
data VideoMetadata = VideoMetadata' (Maybe Double) (Maybe VideoColorRange) (Maybe Text) (Maybe Text) (Maybe Natural) (Maybe Natural) (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 => Getting (First ServiceError) a ServiceError Source #

You are not authorized to perform the action.

VideoTooLargeException

_VideoTooLargeException :: AsError a => Getting (First ServiceError) 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.

InvalidParameterException

_InvalidParameterException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

InvalidImageFormatException

_InvalidImageFormatException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The provided image format is not supported.

ResourceAlreadyExistsException

_ResourceAlreadyExistsException :: AsError a => Getting (First ServiceError) a ServiceError Source #

A resource with the specified ID already exists.

InvalidS3ObjectException

_InvalidS3ObjectException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

ProvisionedThroughputExceededException

_ProvisionedThroughputExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

ImageTooLargeException

_ImageTooLargeException :: AsError a => Getting (First ServiceError) 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 Limits in Amazon Rekognition in the Amazon Rekognition Developer Guide.

ServiceQuotaExceededException

_ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

ThrottlingException

_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

InternalServerError

_InternalServerError :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

IdempotentParameterMismatchException

_IdempotentParameterMismatchException :: AsError a => Getting (First ServiceError) 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.

ResourceNotReadyException

_ResourceNotReadyException :: AsError a => Getting (First ServiceError) 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.

ResourceNotFoundException

_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The resource specified in the request cannot be found.

HumanLoopQuotaExceededException

_HumanLoopQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

InvalidPaginationTokenException

_InvalidPaginationTokenException :: AsError a => Getting (First ServiceError) a ServiceError Source #

Pagination token in the request is not valid.

LimitExceededException

_LimitExceededException :: AsError a => Getting (First ServiceError) 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.

ResourceInUseException

_ResourceInUseException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The specified resource is already being used.

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.

DetectProtectiveEquipment

data DetectProtectiveEquipment Source #

See: newDetectProtectiveEquipment smart constructor.

Constructors

DetectProtectiveEquipment' (Maybe ProtectiveEquipmentSummarizationAttributes) Image

Instances

Instances details

Eq DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods (==) :: DetectProtectiveEquipment -> DetectProtectiveEquipment -> Bool # (/=) :: DetectProtectiveEquipment -> DetectProtectiveEquipment -> Bool #
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 #
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 #
NFData DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods rnf :: DetectProtectiveEquipment -> () #
Hashable DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods hashWithSalt :: Int -> DetectProtectiveEquipment -> Int # hash :: DetectProtectiveEquipment -> Int #
ToJSON DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods toJSON :: DetectProtectiveEquipment -> Value # toEncoding :: DetectProtectiveEquipment -> Encoding # toJSONList :: [DetectProtectiveEquipment] -> Value # toEncodingList :: [DetectProtectiveEquipment] -> Encoding #
AWSRequest DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Associated Types type AWSResponse DetectProtectiveEquipment # Methods request :: DetectProtectiveEquipment -> Request DetectProtectiveEquipment # response :: MonadResource m => Logger -> Service -> Proxy DetectProtectiveEquipment -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectProtectiveEquipment))) #
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 #
type Rep DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type Rep DetectProtectiveEquipment = D1 ('MetaData "DetectProtectiveEquipment" "Amazonka.Rekognition.DetectProtectiveEquipment" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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)))
type AWSResponse DetectProtectiveEquipment Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type AWSResponse DetectProtectiveEquipment = DetectProtectiveEquipmentResponse

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

Instances

Instances details

Eq DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods (==) :: DetectProtectiveEquipmentResponse -> DetectProtectiveEquipmentResponse -> Bool # (/=) :: DetectProtectiveEquipmentResponse -> DetectProtectiveEquipmentResponse -> Bool #
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 #
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 #
NFData DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment Methods rnf :: DetectProtectiveEquipmentResponse -> () #
type Rep DetectProtectiveEquipmentResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectProtectiveEquipment type Rep DetectProtectiveEquipmentResponse = D1 ('MetaData "DetectProtectiveEquipmentResponse" "Amazonka.Rekognition.DetectProtectiveEquipment" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectProtectiveEquipmentResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "summary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProtectiveEquipmentSummary)) :: S1 ('MetaSel ('Just "protectiveEquipmentModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProtectiveEquipmentPerson])) :*: 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:summary:DetectProtectiveEquipmentResponse', detectProtectiveEquipmentResponse_summary - Summary information for the types of PPE specified in the SummarizationAttributes input parameter.

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

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

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

DeleteProject

data DeleteProject Source #

See: newDeleteProject smart constructor.

Constructors

DeleteProject' Text

Instances

Instances details

Eq DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods (==) :: DeleteProject -> DeleteProject -> Bool # (/=) :: DeleteProject -> DeleteProject -> Bool #
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 #
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 #
NFData DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods rnf :: DeleteProject -> () #
Hashable DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods hashWithSalt :: Int -> DeleteProject -> Int # hash :: DeleteProject -> Int #
ToJSON DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods toJSON :: DeleteProject -> Value # toEncoding :: DeleteProject -> Encoding # toJSONList :: [DeleteProject] -> Value # toEncodingList :: [DeleteProject] -> Encoding #
AWSRequest DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Associated Types type AWSResponse DeleteProject # Methods request :: DeleteProject -> Request DeleteProject # response :: MonadResource m => Logger -> Service -> Proxy DeleteProject -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteProject))) #
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 #
type Rep DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type Rep DeleteProject = D1 ('MetaData "DeleteProject" "Amazonka.Rekognition.DeleteProject" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DeleteProject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteProject Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type AWSResponse DeleteProject = DeleteProjectResponse

newDeleteProject Source #

Arguments

:: Text	`$sel:projectArn: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:

$sel:projectArn: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

Eq DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods (==) :: DeleteProjectResponse -> DeleteProjectResponse -> Bool # (/=) :: DeleteProjectResponse -> DeleteProjectResponse -> Bool #
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 #
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 #
NFData DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject Methods rnf :: DeleteProjectResponse -> () #
type Rep DeleteProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProject type Rep DeleteProjectResponse = D1 ('MetaData "DeleteProjectResponse" "Amazonka.Rekognition.DeleteProject" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:status:DeleteProjectResponse', deleteProjectResponse_status - The current status of the delete project operation.

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

StartCelebrityRecognition

data StartCelebrityRecognition Source #

See: newStartCelebrityRecognition smart constructor.

Constructors

StartCelebrityRecognition' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video

Instances

Instances details

Eq StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods (==) :: StartCelebrityRecognition -> StartCelebrityRecognition -> Bool # (/=) :: StartCelebrityRecognition -> StartCelebrityRecognition -> Bool #
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 #
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 #
NFData StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods rnf :: StartCelebrityRecognition -> () #
Hashable StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods hashWithSalt :: Int -> StartCelebrityRecognition -> Int # hash :: StartCelebrityRecognition -> Int #
ToJSON StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods toJSON :: StartCelebrityRecognition -> Value # toEncoding :: StartCelebrityRecognition -> Encoding # toJSONList :: [StartCelebrityRecognition] -> Value # toEncodingList :: [StartCelebrityRecognition] -> Encoding #
AWSRequest StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Associated Types type AWSResponse StartCelebrityRecognition # Methods request :: StartCelebrityRecognition -> Request StartCelebrityRecognition # response :: MonadResource m => Logger -> Service -> Proxy StartCelebrityRecognition -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartCelebrityRecognition))) #
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 #
type Rep StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type Rep StartCelebrityRecognition = D1 ('MetaData "StartCelebrityRecognition" "Amazonka.Rekognition.StartCelebrityRecognition" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartCelebrityRecognition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video))))
type AWSResponse StartCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type AWSResponse StartCelebrityRecognition = StartCelebrityRecognitionResponse

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: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: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: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

Eq StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods (==) :: StartCelebrityRecognitionResponse -> StartCelebrityRecognitionResponse -> Bool # (/=) :: StartCelebrityRecognitionResponse -> StartCelebrityRecognitionResponse -> Bool #
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 #
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 #
NFData StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition Methods rnf :: StartCelebrityRecognitionResponse -> () #
type Rep StartCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartCelebrityRecognition type Rep StartCelebrityRecognitionResponse = D1 ('MetaData "StartCelebrityRecognitionResponse" "Amazonka.Rekognition.StartCelebrityRecognition" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetPersonTracking

data GetPersonTracking Source #

See: newGetPersonTracking smart constructor.

Constructors

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

Instances

Instances details

Eq GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods (==) :: GetPersonTracking -> GetPersonTracking -> Bool # (/=) :: GetPersonTracking -> GetPersonTracking -> Bool #
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 #
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 #
NFData GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods rnf :: GetPersonTracking -> () #
Hashable GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods hashWithSalt :: Int -> GetPersonTracking -> Int # hash :: GetPersonTracking -> Int #
ToJSON GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods toJSON :: GetPersonTracking -> Value # toEncoding :: GetPersonTracking -> Encoding # toJSONList :: [GetPersonTracking] -> Value # toEncodingList :: [GetPersonTracking] -> Encoding #
AWSRequest GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Associated Types type AWSResponse GetPersonTracking # Methods request :: GetPersonTracking -> Request GetPersonTracking # response :: MonadResource m => Logger -> Service -> Proxy GetPersonTracking -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetPersonTracking))) #
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 #
type Rep GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type Rep GetPersonTracking = D1 ('MetaData "GetPersonTracking" "Amazonka.Rekognition.GetPersonTracking" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetPersonTracking'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonTrackingSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type AWSResponse GetPersonTracking = GetPersonTrackingResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe [PersonDetection]) Int

Instances

Instances details

Eq GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods (==) :: GetPersonTrackingResponse -> GetPersonTrackingResponse -> Bool # (/=) :: GetPersonTrackingResponse -> GetPersonTrackingResponse -> Bool #
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 #
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 #
NFData GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking Methods rnf :: GetPersonTrackingResponse -> () #
type Rep GetPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.GetPersonTracking type Rep GetPersonTrackingResponse = D1 ('MetaData "GetPersonTrackingResponse" "Amazonka.Rekognition.GetPersonTracking" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetPersonTrackingResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PersonDetection])) :*: 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:nextToken: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: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:statusMessage:GetPersonTrackingResponse', getPersonTrackingResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

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

$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.

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

GetTextDetection

data GetTextDetection Source #

See: newGetTextDetection smart constructor.

Constructors

GetTextDetection' (Maybe Text) (Maybe Natural) Text

Instances

Instances details

Eq GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods (==) :: GetTextDetection -> GetTextDetection -> Bool # (/=) :: GetTextDetection -> GetTextDetection -> Bool #
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 #
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 #
NFData GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods rnf :: GetTextDetection -> () #
Hashable GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods hashWithSalt :: Int -> GetTextDetection -> Int # hash :: GetTextDetection -> Int #
ToJSON GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods toJSON :: GetTextDetection -> Value # toEncoding :: GetTextDetection -> Encoding # toJSONList :: [GetTextDetection] -> Value # toEncodingList :: [GetTextDetection] -> Encoding #
AWSRequest GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Associated Types type AWSResponse GetTextDetection # Methods request :: GetTextDetection -> Request GetTextDetection # response :: MonadResource m => Logger -> Service -> Proxy GetTextDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetTextDetection))) #
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 #
type Rep GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type Rep GetTextDetection = D1 ('MetaData "GetTextDetection" "Amazonka.Rekognition.GetTextDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetTextDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetTextDetection Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type AWSResponse GetTextDetection = GetTextDetectionResponse

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

$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 [TextDetectionResult]) (Maybe Text) (Maybe VideoMetadata) (Maybe Text) (Maybe Text) (Maybe VideoJobStatus) Int

Instances

Instances details

Eq GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods (==) :: GetTextDetectionResponse -> GetTextDetectionResponse -> Bool # (/=) :: GetTextDetectionResponse -> GetTextDetectionResponse -> Bool #
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 #
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 #
NFData GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection Methods rnf :: GetTextDetectionResponse -> () #
type Rep GetTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetTextDetection type Rep GetTextDetectionResponse = D1 ('MetaData "GetTextDetectionResponse" "Amazonka.Rekognition.GetTextDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetTextDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "textDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TextDetectionResult])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)))) :: ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "textModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: 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: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:nextToken: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.

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

$sel:statusMessage:GetTextDetectionResponse', getTextDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

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

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

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

StartSegmentDetection

data StartSegmentDetection Source #

See: newStartSegmentDetection smart constructor.

Constructors

StartSegmentDetection' (Maybe Text) (Maybe StartSegmentDetectionFilters) (Maybe NotificationChannel) (Maybe Text) Video (NonEmpty SegmentType)

Instances

Instances details

Eq StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods (==) :: StartSegmentDetection -> StartSegmentDetection -> Bool # (/=) :: StartSegmentDetection -> StartSegmentDetection -> Bool #
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 #
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 #
NFData StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods rnf :: StartSegmentDetection -> () #
Hashable StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods hashWithSalt :: Int -> StartSegmentDetection -> Int # hash :: StartSegmentDetection -> Int #
ToJSON StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods toJSON :: StartSegmentDetection -> Value # toEncoding :: StartSegmentDetection -> Encoding # toJSONList :: [StartSegmentDetection] -> Value # toEncodingList :: [StartSegmentDetection] -> Encoding #
AWSRequest StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Associated Types type AWSResponse StartSegmentDetection # Methods request :: StartSegmentDetection -> Request StartSegmentDetection # response :: MonadResource m => Logger -> Service -> Proxy StartSegmentDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartSegmentDetection))) #
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 #
type Rep StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type Rep StartSegmentDetection = D1 ('MetaData "StartSegmentDetection" "Amazonka.Rekognition.StartSegmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartSegmentDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartSegmentDetectionFilters)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video) :*: S1 ('MetaSel ('Just "segmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty SegmentType))))))
type AWSResponse StartSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type AWSResponse StartSegmentDetection = StartSegmentDetectionResponse

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: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:filters:StartSegmentDetection', startSegmentDetection_filters - Filters for technical cue or shot detection.

$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: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: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

Eq StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods (==) :: StartSegmentDetectionResponse -> StartSegmentDetectionResponse -> Bool # (/=) :: StartSegmentDetectionResponse -> StartSegmentDetectionResponse -> Bool #
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 #
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 #
NFData StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection Methods rnf :: StartSegmentDetectionResponse -> () #
type Rep StartSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartSegmentDetection type Rep StartSegmentDetectionResponse = D1 ('MetaData "StartSegmentDetectionResponse" "Amazonka.Rekognition.StartSegmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

ListCollections (Paginated)

data ListCollections Source #

See: newListCollections smart constructor.

Constructors

ListCollections' (Maybe Text) (Maybe Natural)

Instances

Instances details

Eq ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods (==) :: ListCollections -> ListCollections -> Bool # (/=) :: ListCollections -> ListCollections -> Bool #
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 #
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 #
NFData ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods rnf :: ListCollections -> () #
Hashable ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods hashWithSalt :: Int -> ListCollections -> Int # hash :: ListCollections -> Int #
ToJSON ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods toJSON :: ListCollections -> Value # toEncoding :: ListCollections -> Encoding # toJSONList :: [ListCollections] -> Value # toEncodingList :: [ListCollections] -> Encoding #
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 :: ListCollections -> Request ListCollections # response :: MonadResource m => Logger -> Service -> Proxy ListCollections -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListCollections))) #
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 #
type Rep ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type Rep ListCollections = D1 ('MetaData "ListCollections" "Amazonka.Rekognition.ListCollections" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListCollections'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))
type AWSResponse ListCollections Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type AWSResponse ListCollections = ListCollectionsResponse

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:nextToken:ListCollections', listCollections_nextToken - Pagination token from the previous response.

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

data ListCollectionsResponse Source #

See: newListCollectionsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods (==) :: ListCollectionsResponse -> ListCollectionsResponse -> Bool # (/=) :: ListCollectionsResponse -> ListCollectionsResponse -> Bool #
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 #
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 #
NFData ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections Methods rnf :: ListCollectionsResponse -> () #
type Rep ListCollectionsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListCollections type Rep ListCollectionsResponse = D1 ('MetaData "ListCollectionsResponse" "Amazonka.Rekognition.ListCollections" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListCollectionsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "collectionIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "faceModelVersions") '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:nextToken: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: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].

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

StartProjectVersion

data StartProjectVersion Source #

See: newStartProjectVersion smart constructor.

Constructors

StartProjectVersion' Text Natural

Instances

Instances details

Eq StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods (==) :: StartProjectVersion -> StartProjectVersion -> Bool # (/=) :: StartProjectVersion -> StartProjectVersion -> Bool #
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 #
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 #
NFData StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods rnf :: StartProjectVersion -> () #
Hashable StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods hashWithSalt :: Int -> StartProjectVersion -> Int # hash :: StartProjectVersion -> Int #
ToJSON StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods toJSON :: StartProjectVersion -> Value # toEncoding :: StartProjectVersion -> Encoding # toJSONList :: [StartProjectVersion] -> Value # toEncodingList :: [StartProjectVersion] -> Encoding #
AWSRequest StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Associated Types type AWSResponse StartProjectVersion # Methods request :: StartProjectVersion -> Request StartProjectVersion # response :: MonadResource m => Logger -> Service -> Proxy StartProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartProjectVersion))) #
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 #
type Rep StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type Rep StartProjectVersion = D1 ('MetaData "StartProjectVersion" "Amazonka.Rekognition.StartProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))
type AWSResponse StartProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type AWSResponse StartProjectVersion = StartProjectVersionResponse

newStartProjectVersion Source #

Arguments

:: Text	`$sel:projectVersionArn:StartProjectVersion'`
-> Natural	`$sel:minInferenceUnits: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:

$sel:projectVersionArn:StartProjectVersion', startProjectVersion_projectVersionArn - The Amazon Resource Name(ARN) of the model version that you want to start.

$sel:minInferenceUnits:StartProjectVersion', startProjectVersion_minInferenceUnits - The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). 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

Eq StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods (==) :: StartProjectVersionResponse -> StartProjectVersionResponse -> Bool # (/=) :: StartProjectVersionResponse -> StartProjectVersionResponse -> Bool #
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 #
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 #
NFData StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion Methods rnf :: StartProjectVersionResponse -> () #
type Rep StartProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartProjectVersion type Rep StartProjectVersionResponse = D1 ('MetaData "StartProjectVersionResponse" "Amazonka.Rekognition.StartProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:status:StartProjectVersionResponse', startProjectVersionResponse_status - The current running status of the model.

$sel:httpStatus:StartProjectVersionResponse', startProjectVersionResponse_httpStatus - The response's http status code.

DeleteCollection

data DeleteCollection Source #

See: newDeleteCollection smart constructor.

Constructors

DeleteCollection' Text

Instances

Instances details

Eq DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods (==) :: DeleteCollection -> DeleteCollection -> Bool # (/=) :: DeleteCollection -> DeleteCollection -> Bool #
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 #
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 #
NFData DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods rnf :: DeleteCollection -> () #
Hashable DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods hashWithSalt :: Int -> DeleteCollection -> Int # hash :: DeleteCollection -> Int #
ToJSON DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods toJSON :: DeleteCollection -> Value # toEncoding :: DeleteCollection -> Encoding # toJSONList :: [DeleteCollection] -> Value # toEncodingList :: [DeleteCollection] -> Encoding #
AWSRequest DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Associated Types type AWSResponse DeleteCollection # Methods request :: DeleteCollection -> Request DeleteCollection # response :: MonadResource m => Logger -> Service -> Proxy DeleteCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteCollection))) #
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 #
type Rep DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type Rep DeleteCollection = D1 ('MetaData "DeleteCollection" "Amazonka.Rekognition.DeleteCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DeleteCollection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteCollection Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type AWSResponse DeleteCollection = DeleteCollectionResponse

newDeleteCollection Source #

Arguments

:: Text	`$sel:collectionId: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:

$sel:collectionId:DeleteCollection', deleteCollection_collectionId - ID of the collection to delete.

data DeleteCollectionResponse Source #

See: newDeleteCollectionResponse smart constructor.

Constructors

DeleteCollectionResponse' (Maybe Natural) Int

Instances

Instances details

Eq DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods (==) :: DeleteCollectionResponse -> DeleteCollectionResponse -> Bool # (/=) :: DeleteCollectionResponse -> DeleteCollectionResponse -> Bool #
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 #
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 #
NFData DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection Methods rnf :: DeleteCollectionResponse -> () #
type Rep DeleteCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteCollection type Rep DeleteCollectionResponse = D1 ('MetaData "DeleteCollectionResponse" "Amazonka.Rekognition.DeleteCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

CreateCollection

data CreateCollection Source #

See: newCreateCollection smart constructor.

Constructors

CreateCollection' (Maybe (HashMap Text Text)) Text

Instances

Instances details

Eq CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods (==) :: CreateCollection -> CreateCollection -> Bool # (/=) :: CreateCollection -> CreateCollection -> Bool #
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 #
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 #
NFData CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods rnf :: CreateCollection -> () #
Hashable CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods hashWithSalt :: Int -> CreateCollection -> Int # hash :: CreateCollection -> Int #
ToJSON CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods toJSON :: CreateCollection -> Value # toEncoding :: CreateCollection -> Encoding # toJSONList :: [CreateCollection] -> Value # toEncodingList :: [CreateCollection] -> Encoding #
AWSRequest CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Associated Types type AWSResponse CreateCollection # Methods request :: CreateCollection -> Request CreateCollection # response :: MonadResource m => Logger -> Service -> Proxy CreateCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateCollection))) #
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 #
type Rep CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type Rep CreateCollection = D1 ('MetaData "CreateCollection" "Amazonka.Rekognition.CreateCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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)))
type AWSResponse CreateCollection Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type AWSResponse CreateCollection = CreateCollectionResponse

newCreateCollection Source #

Arguments

:: Text	`$sel:collectionId: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.

$sel:collectionId: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

Eq CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods (==) :: CreateCollectionResponse -> CreateCollectionResponse -> Bool # (/=) :: CreateCollectionResponse -> CreateCollectionResponse -> Bool #
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 #
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 #
NFData CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection Methods rnf :: CreateCollectionResponse -> () #
type Rep CreateCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateCollection type Rep CreateCollectionResponse = D1 ('MetaData "CreateCollectionResponse" "Amazonka.Rekognition.CreateCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CreateCollectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "collectionArn") '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:faceModelVersion:CreateCollectionResponse', createCollectionResponse_faceModelVersion - Version number of the face detection model associated with the collection you are creating.

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

$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.

StopStreamProcessor

data StopStreamProcessor Source #

See: newStopStreamProcessor smart constructor.

Constructors

StopStreamProcessor' Text

Instances

Instances details

Eq StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods (==) :: StopStreamProcessor -> StopStreamProcessor -> Bool # (/=) :: StopStreamProcessor -> StopStreamProcessor -> Bool #
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 #
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 #
NFData StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods rnf :: StopStreamProcessor -> () #
Hashable StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods hashWithSalt :: Int -> StopStreamProcessor -> Int # hash :: StopStreamProcessor -> Int #
ToJSON StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods toJSON :: StopStreamProcessor -> Value # toEncoding :: StopStreamProcessor -> Encoding # toJSONList :: [StopStreamProcessor] -> Value # toEncodingList :: [StopStreamProcessor] -> Encoding #
AWSRequest StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Associated Types type AWSResponse StopStreamProcessor # Methods request :: StopStreamProcessor -> Request StopStreamProcessor # response :: MonadResource m => Logger -> Service -> Proxy StopStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopStreamProcessor))) #
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 #
type Rep StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type Rep StopStreamProcessor = D1 ('MetaData "StopStreamProcessor" "Amazonka.Rekognition.StopStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StopStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse StopStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type AWSResponse StopStreamProcessor = StopStreamProcessorResponse

newStopStreamProcessor Source #

Arguments

:: Text	`$sel:name: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:

$sel:name: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

Eq StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods (==) :: StopStreamProcessorResponse -> StopStreamProcessorResponse -> Bool # (/=) :: StopStreamProcessorResponse -> StopStreamProcessorResponse -> Bool #
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 #
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 #
NFData StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor Methods rnf :: StopStreamProcessorResponse -> () #
type Rep StopStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StopStreamProcessor type Rep StopStreamProcessorResponse = D1 ('MetaData "StopStreamProcessorResponse" "Amazonka.Rekognition.StopStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

DetectLabels

data DetectLabels Source #

See: newDetectLabels smart constructor.

Constructors

DetectLabels' (Maybe Double) (Maybe Natural) Image

Instances

Instances details

Eq DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods (==) :: DetectLabels -> DetectLabels -> Bool # (/=) :: DetectLabels -> DetectLabels -> Bool #
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 #
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 #
NFData DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods rnf :: DetectLabels -> () #
Hashable DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods hashWithSalt :: Int -> DetectLabels -> Int # hash :: DetectLabels -> Int #
ToJSON DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods toJSON :: DetectLabels -> Value # toEncoding :: DetectLabels -> Encoding # toJSONList :: [DetectLabels] -> Value # toEncodingList :: [DetectLabels] -> Encoding #
AWSRequest DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Associated Types type AWSResponse DetectLabels # Methods request :: DetectLabels -> Request DetectLabels # response :: MonadResource m => Logger -> Service -> Proxy DetectLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectLabels))) #
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 #
type Rep DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type Rep DetectLabels = D1 ('MetaData "DetectLabels" "Amazonka.Rekognition.DetectLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectLabels'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "maxLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image))))
type AWSResponse DetectLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type AWSResponse DetectLabels = DetectLabelsResponse

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:minConfidence: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: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.

$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 [Label]) (Maybe OrientationCorrection) (Maybe Text) Int

Instances

Instances details

Eq DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods (==) :: DetectLabelsResponse -> DetectLabelsResponse -> Bool # (/=) :: DetectLabelsResponse -> DetectLabelsResponse -> Bool #
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 #
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 #
NFData DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels Methods rnf :: DetectLabelsResponse -> () #
type Rep DetectLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectLabels type Rep DetectLabelsResponse = D1 ('MetaData "DetectLabelsResponse" "Amazonka.Rekognition.DetectLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectLabelsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Label])) :: S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection))) :: (S1 ('MetaSel ('Just "labelModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: 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:

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

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

ListTagsForResource

data ListTagsForResource Source #

See: newListTagsForResource smart constructor.

Constructors

ListTagsForResource' Text

Instances

Instances details

Eq ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods (==) :: ListTagsForResource -> ListTagsForResource -> Bool # (/=) :: ListTagsForResource -> ListTagsForResource -> Bool #
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 #
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 #
NFData ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods rnf :: ListTagsForResource -> () #
Hashable ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods hashWithSalt :: Int -> ListTagsForResource -> Int # hash :: ListTagsForResource -> Int #
ToJSON ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods toJSON :: ListTagsForResource -> Value # toEncoding :: ListTagsForResource -> Encoding # toJSONList :: [ListTagsForResource] -> Value # toEncodingList :: [ListTagsForResource] -> Encoding #
AWSRequest ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Associated Types type AWSResponse ListTagsForResource # Methods request :: ListTagsForResource -> Request ListTagsForResource # response :: MonadResource m => Logger -> Service -> Proxy ListTagsForResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListTagsForResource))) #
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 #
type Rep ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type Rep ListTagsForResource = D1 ('MetaData "ListTagsForResource" "Amazonka.Rekognition.ListTagsForResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListTagsForResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse ListTagsForResource Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type AWSResponse ListTagsForResource = ListTagsForResourceResponse

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

Eq ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods (==) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool # (/=) :: ListTagsForResourceResponse -> ListTagsForResourceResponse -> Bool #
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 #
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 #
NFData ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource Methods rnf :: ListTagsForResourceResponse -> () #
type Rep ListTagsForResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.ListTagsForResource type Rep ListTagsForResourceResponse = D1 ('MetaData "ListTagsForResourceResponse" "Amazonka.Rekognition.ListTagsForResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

StartContentModeration

data StartContentModeration Source #

See: newStartContentModeration smart constructor.

Constructors

StartContentModeration' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe Double) Video

Instances

Instances details

Eq StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods (==) :: StartContentModeration -> StartContentModeration -> Bool # (/=) :: StartContentModeration -> StartContentModeration -> Bool #
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 #
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 #
NFData StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods rnf :: StartContentModeration -> () #
Hashable StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods hashWithSalt :: Int -> StartContentModeration -> Int # hash :: StartContentModeration -> Int #
ToJSON StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods toJSON :: StartContentModeration -> Value # toEncoding :: StartContentModeration -> Encoding # toJSONList :: [StartContentModeration] -> Value # toEncodingList :: [StartContentModeration] -> Encoding #
AWSRequest StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Associated Types type AWSResponse StartContentModeration # Methods request :: StartContentModeration -> Request StartContentModeration # response :: MonadResource m => Logger -> Service -> Proxy StartContentModeration -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartContentModeration))) #
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 #
type Rep StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type Rep StartContentModeration = D1 ('MetaData "StartContentModeration" "Amazonka.Rekognition.StartContentModeration" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartContentModeration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))
type AWSResponse StartContentModeration Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type AWSResponse StartContentModeration = StartContentModerationResponse

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: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.

$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: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:minConfidence: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: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

Eq StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods (==) :: StartContentModerationResponse -> StartContentModerationResponse -> Bool # (/=) :: StartContentModerationResponse -> StartContentModerationResponse -> Bool #
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 #
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 #
NFData StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration Methods rnf :: StartContentModerationResponse -> () #
type Rep StartContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.StartContentModeration type Rep StartContentModerationResponse = D1 ('MetaData "StartContentModerationResponse" "Amazonka.Rekognition.StartContentModeration" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

SearchFacesByImage

data SearchFacesByImage Source #

See: newSearchFacesByImage smart constructor.

Constructors

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

Instances

Instances details

Eq SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods (==) :: SearchFacesByImage -> SearchFacesByImage -> Bool # (/=) :: SearchFacesByImage -> SearchFacesByImage -> Bool #
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 #
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 #
NFData SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods rnf :: SearchFacesByImage -> () #
Hashable SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods hashWithSalt :: Int -> SearchFacesByImage -> Int # hash :: SearchFacesByImage -> Int #
ToJSON SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods toJSON :: SearchFacesByImage -> Value # toEncoding :: SearchFacesByImage -> Encoding # toJSONList :: [SearchFacesByImage] -> Value # toEncodingList :: [SearchFacesByImage] -> Encoding #
AWSRequest SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Associated Types type AWSResponse SearchFacesByImage # Methods request :: SearchFacesByImage -> Request SearchFacesByImage # response :: MonadResource m => Logger -> Service -> Proxy SearchFacesByImage -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse SearchFacesByImage))) #
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 #
type Rep SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type Rep SearchFacesByImage = D1 ('MetaData "SearchFacesByImage" "Amazonka.Rekognition.SearchFacesByImage" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "SearchFacesByImage'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "qualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityFilter)) :: 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 "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))))
type AWSResponse SearchFacesByImage Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type AWSResponse SearchFacesByImage = SearchFacesByImageResponse

newSearchFacesByImage Source #

Arguments

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

$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.

$sel:faceMatchThreshold: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:collectionId: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

Eq SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods (==) :: SearchFacesByImageResponse -> SearchFacesByImageResponse -> Bool # (/=) :: SearchFacesByImageResponse -> SearchFacesByImageResponse -> Bool #
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 #
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 #
NFData SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage Methods rnf :: SearchFacesByImageResponse -> () #
type Rep SearchFacesByImageResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFacesByImage type Rep SearchFacesByImageResponse = D1 ('MetaData "SearchFacesByImageResponse" "Amazonka.Rekognition.SearchFacesByImage" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:faceMatches: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.

ListStreamProcessors (Paginated)

data ListStreamProcessors Source #

See: newListStreamProcessors smart constructor.

Constructors

ListStreamProcessors' (Maybe Text) (Maybe Natural)

Instances

Instances details

Eq ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods (==) :: ListStreamProcessors -> ListStreamProcessors -> Bool # (/=) :: ListStreamProcessors -> ListStreamProcessors -> Bool #
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 #
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 #
NFData ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods rnf :: ListStreamProcessors -> () #
Hashable ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods hashWithSalt :: Int -> ListStreamProcessors -> Int # hash :: ListStreamProcessors -> Int #
ToJSON ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods toJSON :: ListStreamProcessors -> Value # toEncoding :: ListStreamProcessors -> Encoding # toJSONList :: [ListStreamProcessors] -> Value # toEncodingList :: [ListStreamProcessors] -> Encoding #
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 :: ListStreamProcessors -> Request ListStreamProcessors # response :: MonadResource m => Logger -> Service -> Proxy ListStreamProcessors -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListStreamProcessors))) #
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 #
type Rep ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type Rep ListStreamProcessors = D1 ('MetaData "ListStreamProcessors" "Amazonka.Rekognition.ListStreamProcessors" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListStreamProcessors'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))
type AWSResponse ListStreamProcessors Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type AWSResponse ListStreamProcessors = ListStreamProcessorsResponse

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:nextToken: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.

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

data ListStreamProcessorsResponse Source #

See: newListStreamProcessorsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods (==) :: ListStreamProcessorsResponse -> ListStreamProcessorsResponse -> Bool # (/=) :: ListStreamProcessorsResponse -> ListStreamProcessorsResponse -> Bool #
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 #
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 #
NFData ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors Methods rnf :: ListStreamProcessorsResponse -> () #
type Rep ListStreamProcessorsResponse Source #
Instance details Defined in Amazonka.Rekognition.ListStreamProcessors type Rep ListStreamProcessorsResponse = D1 ('MetaData "ListStreamProcessorsResponse" "Amazonka.Rekognition.ListStreamProcessors" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListStreamProcessorsResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "streamProcessors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [StreamProcessor])) :: (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: 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:

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

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

DescribeCollection

data DescribeCollection Source #

See: newDescribeCollection smart constructor.

Constructors

DescribeCollection' Text

Instances

Instances details

Eq DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods (==) :: DescribeCollection -> DescribeCollection -> Bool # (/=) :: DescribeCollection -> DescribeCollection -> Bool #
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 #
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 #
NFData DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods rnf :: DescribeCollection -> () #
Hashable DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods hashWithSalt :: Int -> DescribeCollection -> Int # hash :: DescribeCollection -> Int #
ToJSON DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods toJSON :: DescribeCollection -> Value # toEncoding :: DescribeCollection -> Encoding # toJSONList :: [DescribeCollection] -> Value # toEncodingList :: [DescribeCollection] -> Encoding #
AWSRequest DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Associated Types type AWSResponse DescribeCollection # Methods request :: DescribeCollection -> Request DescribeCollection # response :: MonadResource m => Logger -> Service -> Proxy DescribeCollection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeCollection))) #
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 #
type Rep DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type Rep DescribeCollection = D1 ('MetaData "DescribeCollection" "Amazonka.Rekognition.DescribeCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeCollection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeCollection Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type AWSResponse DescribeCollection = DescribeCollectionResponse

newDescribeCollection Source #

Arguments

:: Text	`$sel:collectionId: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:

$sel:collectionId:DescribeCollection', describeCollection_collectionId - The ID of the collection to describe.

data DescribeCollectionResponse Source #

See: newDescribeCollectionResponse smart constructor.

Constructors

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

Instances

Instances details

Eq DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods (==) :: DescribeCollectionResponse -> DescribeCollectionResponse -> Bool # (/=) :: DescribeCollectionResponse -> DescribeCollectionResponse -> Bool #
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 #
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 #
NFData DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection Methods rnf :: DescribeCollectionResponse -> () #
type Rep DescribeCollectionResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeCollection type Rep DescribeCollectionResponse = D1 ('MetaData "DescribeCollectionResponse" "Amazonka.Rekognition.DescribeCollection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeCollectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "faceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "collectionARN") '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: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:faceCount:DescribeCollectionResponse', describeCollectionResponse_faceCount - The number of faces that are indexed into the collection. To index faces into a collection, use IndexFaces.

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

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

DeleteProjectVersion

data DeleteProjectVersion Source #

See: newDeleteProjectVersion smart constructor.

Constructors

DeleteProjectVersion' Text

Instances

Instances details

Eq DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods (==) :: DeleteProjectVersion -> DeleteProjectVersion -> Bool # (/=) :: DeleteProjectVersion -> DeleteProjectVersion -> Bool #
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 #
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 #
NFData DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods rnf :: DeleteProjectVersion -> () #
Hashable DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods hashWithSalt :: Int -> DeleteProjectVersion -> Int # hash :: DeleteProjectVersion -> Int #
ToJSON DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods toJSON :: DeleteProjectVersion -> Value # toEncoding :: DeleteProjectVersion -> Encoding # toJSONList :: [DeleteProjectVersion] -> Value # toEncodingList :: [DeleteProjectVersion] -> Encoding #
AWSRequest DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Associated Types type AWSResponse DeleteProjectVersion # Methods request :: DeleteProjectVersion -> Request DeleteProjectVersion # response :: MonadResource m => Logger -> Service -> Proxy DeleteProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteProjectVersion))) #
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 #
type Rep DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type Rep DeleteProjectVersion = D1 ('MetaData "DeleteProjectVersion" "Amazonka.Rekognition.DeleteProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DeleteProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type AWSResponse DeleteProjectVersion = DeleteProjectVersionResponse

newDeleteProjectVersion Source #

Arguments

:: Text	`$sel:projectVersionArn: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:

$sel:projectVersionArn: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

Eq DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods (==) :: DeleteProjectVersionResponse -> DeleteProjectVersionResponse -> Bool # (/=) :: DeleteProjectVersionResponse -> DeleteProjectVersionResponse -> Bool #
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 #
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 #
NFData DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion Methods rnf :: DeleteProjectVersionResponse -> () #
type Rep DeleteProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteProjectVersion type Rep DeleteProjectVersionResponse = D1 ('MetaData "DeleteProjectVersionResponse" "Amazonka.Rekognition.DeleteProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:status:DeleteProjectVersionResponse', deleteProjectVersionResponse_status - The status of the deletion operation.

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

DescribeProjectVersions (Paginated)

data DescribeProjectVersions Source #

See: newDescribeProjectVersions smart constructor.

Constructors

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

Instances

Instances details

Eq DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods (==) :: DescribeProjectVersions -> DescribeProjectVersions -> Bool # (/=) :: DescribeProjectVersions -> DescribeProjectVersions -> Bool #
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 #
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 #
NFData DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods rnf :: DescribeProjectVersions -> () #
Hashable DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods hashWithSalt :: Int -> DescribeProjectVersions -> Int # hash :: DescribeProjectVersions -> Int #
ToJSON DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods toJSON :: DescribeProjectVersions -> Value # toEncoding :: DescribeProjectVersions -> Encoding # toJSONList :: [DescribeProjectVersions] -> Value # toEncodingList :: [DescribeProjectVersions] -> Encoding #
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 :: DescribeProjectVersions -> Request DescribeProjectVersions # response :: MonadResource m => Logger -> Service -> Proxy DescribeProjectVersions -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeProjectVersions))) #
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 #
type Rep DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type Rep DescribeProjectVersions = D1 ('MetaData "DescribeProjectVersions" "Amazonka.Rekognition.DescribeProjectVersions" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeProjectVersions'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "versionNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse DescribeProjectVersions Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type AWSResponse DescribeProjectVersions = DescribeProjectVersionsResponse

newDescribeProjectVersions Source #

Arguments

:: Text	`$sel:projectArn: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:nextToken: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.

$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.

$sel:projectArn: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

Eq DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods (==) :: DescribeProjectVersionsResponse -> DescribeProjectVersionsResponse -> Bool # (/=) :: DescribeProjectVersionsResponse -> DescribeProjectVersionsResponse -> Bool #
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 #
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 #
NFData DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions Methods rnf :: DescribeProjectVersionsResponse -> () #
type Rep DescribeProjectVersionsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjectVersions type Rep DescribeProjectVersionsResponse = D1 ('MetaData "DescribeProjectVersionsResponse" "Amazonka.Rekognition.DescribeProjectVersions" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:nextToken: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.

RecognizeCelebrities

data RecognizeCelebrities Source #

See: newRecognizeCelebrities smart constructor.

Constructors

RecognizeCelebrities' Image

Instances

Instances details

Eq RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods (==) :: RecognizeCelebrities -> RecognizeCelebrities -> Bool # (/=) :: RecognizeCelebrities -> RecognizeCelebrities -> Bool #
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 #
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 #
NFData RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods rnf :: RecognizeCelebrities -> () #
Hashable RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods hashWithSalt :: Int -> RecognizeCelebrities -> Int # hash :: RecognizeCelebrities -> Int #
ToJSON RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods toJSON :: RecognizeCelebrities -> Value # toEncoding :: RecognizeCelebrities -> Encoding # toJSONList :: [RecognizeCelebrities] -> Value # toEncodingList :: [RecognizeCelebrities] -> Encoding #
AWSRequest RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Associated Types type AWSResponse RecognizeCelebrities # Methods request :: RecognizeCelebrities -> Request RecognizeCelebrities # response :: MonadResource m => Logger -> Service -> Proxy RecognizeCelebrities -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse RecognizeCelebrities))) #
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 #
type Rep RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type Rep RecognizeCelebrities = D1 ('MetaData "RecognizeCelebrities" "Amazonka.Rekognition.RecognizeCelebrities" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "RecognizeCelebrities'" 'PrefixI 'True) (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))
type AWSResponse RecognizeCelebrities Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type AWSResponse RecognizeCelebrities = RecognizeCelebritiesResponse

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

Eq RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods (==) :: RecognizeCelebritiesResponse -> RecognizeCelebritiesResponse -> Bool # (/=) :: RecognizeCelebritiesResponse -> RecognizeCelebritiesResponse -> Bool #
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 #
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 #
NFData RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities Methods rnf :: RecognizeCelebritiesResponse -> () #
type Rep RecognizeCelebritiesResponse Source #
Instance details Defined in Amazonka.Rekognition.RecognizeCelebrities type Rep RecognizeCelebritiesResponse = D1 ('MetaData "RecognizeCelebritiesResponse" "Amazonka.Rekognition.RecognizeCelebrities" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

DetectCustomLabels

data DetectCustomLabels Source #

See: newDetectCustomLabels smart constructor.

Constructors

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

Instances

Instances details

Eq DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods (==) :: DetectCustomLabels -> DetectCustomLabels -> Bool # (/=) :: DetectCustomLabels -> DetectCustomLabels -> Bool #
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 #
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 #
NFData DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods rnf :: DetectCustomLabels -> () #
Hashable DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods hashWithSalt :: Int -> DetectCustomLabels -> Int # hash :: DetectCustomLabels -> Int #
ToJSON DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods toJSON :: DetectCustomLabels -> Value # toEncoding :: DetectCustomLabels -> Encoding # toJSONList :: [DetectCustomLabels] -> Value # toEncodingList :: [DetectCustomLabels] -> Encoding #
AWSRequest DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Associated Types type AWSResponse DetectCustomLabels # Methods request :: DetectCustomLabels -> Request DetectCustomLabels # response :: MonadResource m => Logger -> Service -> Proxy DetectCustomLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectCustomLabels))) #
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 #
type Rep DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type Rep DetectCustomLabels = D1 ('MetaData "DetectCustomLabels" "Amazonka.Rekognition.DetectCustomLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectCustomLabels'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image))))
type AWSResponse DetectCustomLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type AWSResponse DetectCustomLabels = DetectCustomLabelsResponse

newDetectCustomLabels Source #

Arguments

:: Text	`$sel:projectVersionArn:DetectCustomLabels'`
-> Image	`$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:minConfidence: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.

$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.

$sel:projectVersionArn: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

Eq DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods (==) :: DetectCustomLabelsResponse -> DetectCustomLabelsResponse -> Bool # (/=) :: DetectCustomLabelsResponse -> DetectCustomLabelsResponse -> Bool #
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 #
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 #
NFData DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels Methods rnf :: DetectCustomLabelsResponse -> () #
type Rep DetectCustomLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectCustomLabels type Rep DetectCustomLabelsResponse = D1 ('MetaData "DetectCustomLabelsResponse" "Amazonka.Rekognition.DetectCustomLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetFaceSearch

data GetFaceSearch Source #

See: newGetFaceSearch smart constructor.

Constructors

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

Instances

Instances details

Eq GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods (==) :: GetFaceSearch -> GetFaceSearch -> Bool # (/=) :: GetFaceSearch -> GetFaceSearch -> Bool #
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 #
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 #
NFData GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods rnf :: GetFaceSearch -> () #
Hashable GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods hashWithSalt :: Int -> GetFaceSearch -> Int # hash :: GetFaceSearch -> Int #
ToJSON GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods toJSON :: GetFaceSearch -> Value # toEncoding :: GetFaceSearch -> Encoding # toJSONList :: [GetFaceSearch] -> Value # toEncodingList :: [GetFaceSearch] -> Encoding #
AWSRequest GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Associated Types type AWSResponse GetFaceSearch # Methods request :: GetFaceSearch -> Request GetFaceSearch # response :: MonadResource m => Logger -> Service -> Proxy GetFaceSearch -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetFaceSearch))) #
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 #
type Rep GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type Rep GetFaceSearch = D1 ('MetaData "GetFaceSearch" "Amazonka.Rekognition.GetFaceSearch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetFaceSearch'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceSearchSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type AWSResponse GetFaceSearch = GetFaceSearchResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe [PersonMatch]) Int

Instances

Instances details

Eq GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods (==) :: GetFaceSearchResponse -> GetFaceSearchResponse -> Bool # (/=) :: GetFaceSearchResponse -> GetFaceSearchResponse -> Bool #
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 #
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 #
NFData GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch Methods rnf :: GetFaceSearchResponse -> () #
type Rep GetFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceSearch type Rep GetFaceSearchResponse = D1 ('MetaData "GetFaceSearchResponse" "Amazonka.Rekognition.GetFaceSearch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetFaceSearchResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: (S1 ('MetaSel ('Just "persons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PersonMatch])) :*: 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:nextToken: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: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:statusMessage:GetFaceSearchResponse', getFaceSearchResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

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

$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.

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

StartLabelDetection

data StartLabelDetection Source #

See: newStartLabelDetection smart constructor.

Constructors

StartLabelDetection' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe Double) Video

Instances

Instances details

Eq StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods (==) :: StartLabelDetection -> StartLabelDetection -> Bool # (/=) :: StartLabelDetection -> StartLabelDetection -> Bool #
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 #
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 #
NFData StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods rnf :: StartLabelDetection -> () #
Hashable StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods hashWithSalt :: Int -> StartLabelDetection -> Int # hash :: StartLabelDetection -> Int #
ToJSON StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods toJSON :: StartLabelDetection -> Value # toEncoding :: StartLabelDetection -> Encoding # toJSONList :: [StartLabelDetection] -> Value # toEncodingList :: [StartLabelDetection] -> Encoding #
AWSRequest StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Associated Types type AWSResponse StartLabelDetection # Methods request :: StartLabelDetection -> Request StartLabelDetection # response :: MonadResource m => Logger -> Service -> Proxy StartLabelDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartLabelDetection))) #
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 #
type Rep StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type Rep StartLabelDetection = D1 ('MetaData "StartLabelDetection" "Amazonka.Rekognition.StartLabelDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartLabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))
type AWSResponse StartLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type AWSResponse StartLabelDetection = StartLabelDetectionResponse

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: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.

$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: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:minConfidence: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 with confidence values greater than or equal to 50 percent.

$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

Eq StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods (==) :: StartLabelDetectionResponse -> StartLabelDetectionResponse -> Bool # (/=) :: StartLabelDetectionResponse -> StartLabelDetectionResponse -> Bool #
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 #
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 #
NFData StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection Methods rnf :: StartLabelDetectionResponse -> () #
type Rep StartLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartLabelDetection type Rep StartLabelDetectionResponse = D1 ('MetaData "StartLabelDetectionResponse" "Amazonka.Rekognition.StartLabelDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

SearchFaces

data SearchFaces Source #

See: newSearchFaces smart constructor.

Constructors

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

Instances

Instances details

Eq SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods (==) :: SearchFaces -> SearchFaces -> Bool # (/=) :: SearchFaces -> SearchFaces -> Bool #
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 #
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 #
NFData SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods rnf :: SearchFaces -> () #
Hashable SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods hashWithSalt :: Int -> SearchFaces -> Int # hash :: SearchFaces -> Int #
ToJSON SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods toJSON :: SearchFaces -> Value # toEncoding :: SearchFaces -> Encoding # toJSONList :: [SearchFaces] -> Value # toEncodingList :: [SearchFaces] -> Encoding #
AWSRequest SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Associated Types type AWSResponse SearchFaces # Methods request :: SearchFaces -> Request SearchFaces # response :: MonadResource m => Logger -> Service -> Proxy SearchFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse SearchFaces))) #
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 #
type Rep SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type Rep SearchFaces = D1 ('MetaData "SearchFaces" "Amazonka.Rekognition.SearchFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))
type AWSResponse SearchFaces Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type AWSResponse SearchFaces = SearchFacesResponse

newSearchFaces Source #

Arguments

:: Text	`$sel:collectionId:SearchFaces'`
-> Text	`$sel:faceId: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:

$sel:faceMatchThreshold: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.

$sel:collectionId:SearchFaces', searchFaces_collectionId - ID of the collection the face belongs to.

$sel:faceId: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

Eq SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods (==) :: SearchFacesResponse -> SearchFacesResponse -> Bool # (/=) :: SearchFacesResponse -> SearchFacesResponse -> Bool #
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 #
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 #
NFData SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces Methods rnf :: SearchFacesResponse -> () #
type Rep SearchFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.SearchFaces type Rep SearchFacesResponse = D1 ('MetaData "SearchFacesResponse" "Amazonka.Rekognition.SearchFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:faceMatches: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.

IndexFaces

data IndexFaces Source #

See: newIndexFaces smart constructor.

Constructors

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

Instances

Instances details

Eq IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods (==) :: IndexFaces -> IndexFaces -> Bool # (/=) :: IndexFaces -> IndexFaces -> Bool #
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 #
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 #
NFData IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods rnf :: IndexFaces -> () #
Hashable IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods hashWithSalt :: Int -> IndexFaces -> Int # hash :: IndexFaces -> Int #
ToJSON IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods toJSON :: IndexFaces -> Value # toEncoding :: IndexFaces -> Encoding # toJSONList :: [IndexFaces] -> Value # toEncodingList :: [IndexFaces] -> Encoding #
AWSRequest IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Associated Types type AWSResponse IndexFaces # Methods request :: IndexFaces -> Request IndexFaces # response :: MonadResource m => Logger -> Service -> Proxy IndexFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse IndexFaces))) #
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 #
type Rep IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type Rep IndexFaces = D1 ('MetaData "IndexFaces" "Amazonka.Rekognition.IndexFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "IndexFaces'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "externalImageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "qualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityFilter)) :: S1 ('MetaSel ('Just "maxFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: (S1 ('MetaSel ('Just "detectionAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Attribute])) :: (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Image)))))
type AWSResponse IndexFaces Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type AWSResponse IndexFaces = IndexFacesResponse

newIndexFaces Source #

Arguments

:: Text	`$sel:collectionId:IndexFaces'`
-> Image	`$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:externalImageId:IndexFaces', indexFaces_externalImageId - The ID you want to assign to all the faces detected in the image.

$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.

$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: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).

$sel:collectionId: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

Eq IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods (==) :: IndexFacesResponse -> IndexFacesResponse -> Bool # (/=) :: IndexFacesResponse -> IndexFacesResponse -> Bool #
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 #
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 #
NFData IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces Methods rnf :: IndexFacesResponse -> () #
type Rep IndexFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.IndexFaces type Rep IndexFacesResponse = D1 ('MetaData "IndexFacesResponse" "Amazonka.Rekognition.IndexFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetLabelDetection

data GetLabelDetection Source #

See: newGetLabelDetection smart constructor.

Constructors

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

Instances

Instances details

Eq GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods (==) :: GetLabelDetection -> GetLabelDetection -> Bool # (/=) :: GetLabelDetection -> GetLabelDetection -> Bool #
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 #
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 #
NFData GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods rnf :: GetLabelDetection -> () #
Hashable GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods hashWithSalt :: Int -> GetLabelDetection -> Int # hash :: GetLabelDetection -> Int #
ToJSON GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods toJSON :: GetLabelDetection -> Value # toEncoding :: GetLabelDetection -> Encoding # toJSONList :: [GetLabelDetection] -> Value # toEncodingList :: [GetLabelDetection] -> Encoding #
AWSRequest GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Associated Types type AWSResponse GetLabelDetection # Methods request :: GetLabelDetection -> Request GetLabelDetection # response :: MonadResource m => Logger -> Service -> Proxy GetLabelDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetLabelDetection))) #
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 #
type Rep GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type Rep GetLabelDetection = D1 ('MetaData "GetLabelDetection" "Amazonka.Rekognition.GetLabelDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetLabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelDetectionSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetLabelDetection Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type AWSResponse GetLabelDetection = GetLabelDetectionResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [LabelDetection]) (Maybe VideoJobStatus) (Maybe Text) Int

Instances

Instances details

Eq GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods (==) :: GetLabelDetectionResponse -> GetLabelDetectionResponse -> Bool # (/=) :: GetLabelDetectionResponse -> GetLabelDetectionResponse -> Bool #
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 #
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 #
NFData GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection Methods rnf :: GetLabelDetectionResponse -> () #
type Rep GetLabelDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetLabelDetection type Rep GetLabelDetectionResponse = D1 ('MetaData "GetLabelDetectionResponse" "Amazonka.Rekognition.GetLabelDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetLabelDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelDetection])) :: S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus))) :: (S1 ('MetaSel ('Just "labelModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: 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:nextToken: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.

$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:statusMessage:GetLabelDetectionResponse', getLabelDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$sel: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.

$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.

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

StopProjectVersion

data StopProjectVersion Source #

See: newStopProjectVersion smart constructor.

Constructors

StopProjectVersion' Text

Instances

Instances details

Eq StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods (==) :: StopProjectVersion -> StopProjectVersion -> Bool # (/=) :: StopProjectVersion -> StopProjectVersion -> Bool #
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 #
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 #
NFData StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods rnf :: StopProjectVersion -> () #
Hashable StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods hashWithSalt :: Int -> StopProjectVersion -> Int # hash :: StopProjectVersion -> Int #
ToJSON StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods toJSON :: StopProjectVersion -> Value # toEncoding :: StopProjectVersion -> Encoding # toJSONList :: [StopProjectVersion] -> Value # toEncodingList :: [StopProjectVersion] -> Encoding #
AWSRequest StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Associated Types type AWSResponse StopProjectVersion # Methods request :: StopProjectVersion -> Request StopProjectVersion # response :: MonadResource m => Logger -> Service -> Proxy StopProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StopProjectVersion))) #
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 #
type Rep StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type Rep StopProjectVersion = D1 ('MetaData "StopProjectVersion" "Amazonka.Rekognition.StopProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StopProjectVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse StopProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type AWSResponse StopProjectVersion = StopProjectVersionResponse

newStopProjectVersion Source #

Arguments

:: Text	`$sel:projectVersionArn: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:

$sel:projectVersionArn: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

Eq StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods (==) :: StopProjectVersionResponse -> StopProjectVersionResponse -> Bool # (/=) :: StopProjectVersionResponse -> StopProjectVersionResponse -> Bool #
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 #
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 #
NFData StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion Methods rnf :: StopProjectVersionResponse -> () #
type Rep StopProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.StopProjectVersion type Rep StopProjectVersionResponse = D1 ('MetaData "StopProjectVersionResponse" "Amazonka.Rekognition.StopProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:status:StopProjectVersionResponse', stopProjectVersionResponse_status - The current status of the stop operation.

$sel:httpStatus:StopProjectVersionResponse', stopProjectVersionResponse_httpStatus - The response's http status code.

DescribeStreamProcessor

data DescribeStreamProcessor Source #

See: newDescribeStreamProcessor smart constructor.

Constructors

DescribeStreamProcessor' Text

Instances

Instances details

Eq DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods (==) :: DescribeStreamProcessor -> DescribeStreamProcessor -> Bool # (/=) :: DescribeStreamProcessor -> DescribeStreamProcessor -> Bool #
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 #
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 #
NFData DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods rnf :: DescribeStreamProcessor -> () #
Hashable DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods hashWithSalt :: Int -> DescribeStreamProcessor -> Int # hash :: DescribeStreamProcessor -> Int #
ToJSON DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods toJSON :: DescribeStreamProcessor -> Value # toEncoding :: DescribeStreamProcessor -> Encoding # toJSONList :: [DescribeStreamProcessor] -> Value # toEncodingList :: [DescribeStreamProcessor] -> Encoding #
AWSRequest DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Associated Types type AWSResponse DescribeStreamProcessor # Methods request :: DescribeStreamProcessor -> Request DescribeStreamProcessor # response :: MonadResource m => Logger -> Service -> Proxy DescribeStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeStreamProcessor))) #
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 #
type Rep DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type Rep DescribeStreamProcessor = D1 ('MetaData "DescribeStreamProcessor" "Amazonka.Rekognition.DescribeStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribeStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type AWSResponse DescribeStreamProcessor = DescribeStreamProcessorResponse

newDescribeStreamProcessor Source #

Arguments

:: Text	`$sel:name: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:

$sel:name:DescribeStreamProcessor', describeStreamProcessor_name - Name of the stream processor for which you want information.

data DescribeStreamProcessorResponse Source #

See: newDescribeStreamProcessorResponse smart constructor.

Constructors

DescribeStreamProcessorResponse' (Maybe StreamProcessorStatus) (Maybe StreamProcessorSettings) (Maybe StreamProcessorInput) (Maybe StreamProcessorOutput) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) Int

Instances

Instances details

Eq DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods (==) :: DescribeStreamProcessorResponse -> DescribeStreamProcessorResponse -> Bool # (/=) :: DescribeStreamProcessorResponse -> DescribeStreamProcessorResponse -> Bool #
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 #
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 #
NFData DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor Methods rnf :: DescribeStreamProcessorResponse -> () #
type Rep DescribeStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeStreamProcessor type Rep DescribeStreamProcessorResponse = D1 ('MetaData "DescribeStreamProcessorResponse" "Amazonka.Rekognition.DescribeStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeStreamProcessorResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorStatus)) :: S1 ('MetaSel ('Just "settings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorSettings))) :: (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorInput)) :: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorOutput)) :: S1 ('MetaSel ('Just "streamProcessorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "lastUpdateTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "roleArn") '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:

$sel:status:DescribeStreamProcessorResponse', describeStreamProcessorResponse_status - Current status of the stream processor.

$sel:settings:DescribeStreamProcessorResponse', describeStreamProcessorResponse_settings - Face recognition input parameters that are being used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.

$sel:input:DescribeStreamProcessorResponse', describeStreamProcessorResponse_input - Kinesis video stream that provides the source streaming video.

$sel:output:DescribeStreamProcessorResponse', describeStreamProcessorResponse_output - Kinesis data stream to which Amazon Rekognition Video puts the analysis results.

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

$sel:statusMessage:DescribeStreamProcessorResponse', describeStreamProcessorResponse_statusMessage - Detailed status message about the stream processor.

$sel:name:DescribeStreamProcessor', describeStreamProcessorResponse_name - Name of the stream processor.

$sel:creationTimestamp:DescribeStreamProcessorResponse', describeStreamProcessorResponse_creationTimestamp - Date and time the stream processor was created

$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.

$sel:roleArn:DescribeStreamProcessorResponse', describeStreamProcessorResponse_roleArn - ARN of the IAM role that allows access to the stream processor.

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

StartFaceSearch

data StartFaceSearch Source #

See: newStartFaceSearch smart constructor.

Constructors

StartFaceSearch' (Maybe Double) (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video Text

Instances

Instances details

Eq StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods (==) :: StartFaceSearch -> StartFaceSearch -> Bool # (/=) :: StartFaceSearch -> StartFaceSearch -> Bool #
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 #
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 #
NFData StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods rnf :: StartFaceSearch -> () #
Hashable StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods hashWithSalt :: Int -> StartFaceSearch -> Int # hash :: StartFaceSearch -> Int #
ToJSON StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods toJSON :: StartFaceSearch -> Value # toEncoding :: StartFaceSearch -> Encoding # toJSONList :: [StartFaceSearch] -> Value # toEncodingList :: [StartFaceSearch] -> Encoding #
AWSRequest StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Associated Types type AWSResponse StartFaceSearch # Methods request :: StartFaceSearch -> Request StartFaceSearch # response :: MonadResource m => Logger -> Service -> Proxy StartFaceSearch -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartFaceSearch))) #
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 #
type Rep StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type Rep StartFaceSearch = D1 ('MetaData "StartFaceSearch" "Amazonka.Rekognition.StartFaceSearch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartFaceSearch'" 'PrefixI 'True) ((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 "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video) :*: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))
type AWSResponse StartFaceSearch Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type AWSResponse StartFaceSearch = StartFaceSearchResponse

newStartFaceSearch Source #

Arguments

:: Video	`$sel:video:StartFaceSearch'`
-> Text	`$sel:collectionId: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:faceMatchThreshold: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: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.

$sel:video:StartFaceSearch', startFaceSearch_video - The video you want to search. The video must be stored in an Amazon S3 bucket.

$sel:collectionId: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

Eq StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods (==) :: StartFaceSearchResponse -> StartFaceSearchResponse -> Bool # (/=) :: StartFaceSearchResponse -> StartFaceSearchResponse -> Bool #
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 #
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 #
NFData StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch Methods rnf :: StartFaceSearchResponse -> () #
type Rep StartFaceSearchResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceSearch type Rep StartFaceSearchResponse = D1 ('MetaData "StartFaceSearchResponse" "Amazonka.Rekognition.StartFaceSearch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

StartTextDetection

data StartTextDetection Source #

See: newStartTextDetection smart constructor.

Constructors

StartTextDetection' (Maybe Text) (Maybe StartTextDetectionFilters) (Maybe NotificationChannel) (Maybe Text) Video

Instances

Instances details

Eq StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods (==) :: StartTextDetection -> StartTextDetection -> Bool # (/=) :: StartTextDetection -> StartTextDetection -> Bool #
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 #
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 #
NFData StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods rnf :: StartTextDetection -> () #
Hashable StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods hashWithSalt :: Int -> StartTextDetection -> Int # hash :: StartTextDetection -> Int #
ToJSON StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods toJSON :: StartTextDetection -> Value # toEncoding :: StartTextDetection -> Encoding # toJSONList :: [StartTextDetection] -> Value # toEncodingList :: [StartTextDetection] -> Encoding #
AWSRequest StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Associated Types type AWSResponse StartTextDetection # Methods request :: StartTextDetection -> Request StartTextDetection # response :: MonadResource m => Logger -> Service -> Proxy StartTextDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartTextDetection))) #
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 #
type Rep StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type Rep StartTextDetection = D1 ('MetaData "StartTextDetection" "Amazonka.Rekognition.StartTextDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartTextDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartTextDetectionFilters))) :: (S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel)) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))
type AWSResponse StartTextDetection Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type AWSResponse StartTextDetection = StartTextDetectionResponse

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: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:filters:StartTextDetection', startTextDetection_filters - Optional parameters that let you set criteria the text must meet to be included in your response.

$sel:notificationChannel:StartTextDetection', startTextDetection_notificationChannel - Undocumented member.

$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:video:StartTextDetection', startTextDetection_video - Undocumented member.

data StartTextDetectionResponse Source #

See: newStartTextDetectionResponse smart constructor.

Constructors

StartTextDetectionResponse' (Maybe Text) Int

Instances

Instances details

Eq StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods (==) :: StartTextDetectionResponse -> StartTextDetectionResponse -> Bool # (/=) :: StartTextDetectionResponse -> StartTextDetectionResponse -> Bool #
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 #
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 #
NFData StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection Methods rnf :: StartTextDetectionResponse -> () #
type Rep StartTextDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartTextDetection type Rep StartTextDetectionResponse = D1 ('MetaData "StartTextDetectionResponse" "Amazonka.Rekognition.StartTextDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

StartPersonTracking

data StartPersonTracking Source #

See: newStartPersonTracking smart constructor.

Constructors

StartPersonTracking' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) Video

Instances

Instances details

Eq StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods (==) :: StartPersonTracking -> StartPersonTracking -> Bool # (/=) :: StartPersonTracking -> StartPersonTracking -> Bool #
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 #
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 #
NFData StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods rnf :: StartPersonTracking -> () #
Hashable StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods hashWithSalt :: Int -> StartPersonTracking -> Int # hash :: StartPersonTracking -> Int #
ToJSON StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods toJSON :: StartPersonTracking -> Value # toEncoding :: StartPersonTracking -> Encoding # toJSONList :: [StartPersonTracking] -> Value # toEncodingList :: [StartPersonTracking] -> Encoding #
AWSRequest StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Associated Types type AWSResponse StartPersonTracking # Methods request :: StartPersonTracking -> Request StartPersonTracking # response :: MonadResource m => Logger -> Service -> Proxy StartPersonTracking -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartPersonTracking))) #
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 #
type Rep StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type Rep StartPersonTracking = D1 ('MetaData "StartPersonTracking" "Amazonka.Rekognition.StartPersonTracking" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartPersonTracking'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video))))
type AWSResponse StartPersonTracking Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type AWSResponse StartPersonTracking = StartPersonTrackingResponse

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: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: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: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

Eq StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods (==) :: StartPersonTrackingResponse -> StartPersonTrackingResponse -> Bool # (/=) :: StartPersonTrackingResponse -> StartPersonTrackingResponse -> Bool #
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 #
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 #
NFData StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking Methods rnf :: StartPersonTrackingResponse -> () #
type Rep StartPersonTrackingResponse Source #
Instance details Defined in Amazonka.Rekognition.StartPersonTracking type Rep StartPersonTrackingResponse = D1 ('MetaData "StartPersonTrackingResponse" "Amazonka.Rekognition.StartPersonTracking" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetCelebrityRecognition

data GetCelebrityRecognition Source #

See: newGetCelebrityRecognition smart constructor.

Constructors

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

Instances

Instances details

Eq GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods (==) :: GetCelebrityRecognition -> GetCelebrityRecognition -> Bool # (/=) :: GetCelebrityRecognition -> GetCelebrityRecognition -> Bool #
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 #
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 #
NFData GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods rnf :: GetCelebrityRecognition -> () #
Hashable GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods hashWithSalt :: Int -> GetCelebrityRecognition -> Int # hash :: GetCelebrityRecognition -> Int #
ToJSON GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods toJSON :: GetCelebrityRecognition -> Value # toEncoding :: GetCelebrityRecognition -> Encoding # toJSONList :: [GetCelebrityRecognition] -> Value # toEncodingList :: [GetCelebrityRecognition] -> Encoding #
AWSRequest GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Associated Types type AWSResponse GetCelebrityRecognition # Methods request :: GetCelebrityRecognition -> Request GetCelebrityRecognition # response :: MonadResource m => Logger -> Service -> Proxy GetCelebrityRecognition -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetCelebrityRecognition))) #
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 #
type Rep GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type Rep GetCelebrityRecognition = D1 ('MetaData "GetCelebrityRecognition" "Amazonka.Rekognition.GetCelebrityRecognition" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetCelebrityRecognition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CelebrityRecognitionSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetCelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type AWSResponse GetCelebrityRecognition = GetCelebrityRecognitionResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [CelebrityRecognition]) (Maybe VideoJobStatus) Int

Instances

Instances details

Eq GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods (==) :: GetCelebrityRecognitionResponse -> GetCelebrityRecognitionResponse -> Bool # (/=) :: GetCelebrityRecognitionResponse -> GetCelebrityRecognitionResponse -> Bool #
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 #
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 #
NFData GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition Methods rnf :: GetCelebrityRecognitionResponse -> () #
type Rep GetCelebrityRecognitionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityRecognition type Rep GetCelebrityRecognitionResponse = D1 ('MetaData "GetCelebrityRecognitionResponse" "Amazonka.Rekognition.GetCelebrityRecognition" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetCelebrityRecognitionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "celebrities") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CelebrityRecognition])) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :*: 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:nextToken: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.

$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:statusMessage:GetCelebrityRecognitionResponse', getCelebrityRecognitionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$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.

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

StartStreamProcessor

data StartStreamProcessor Source #

See: newStartStreamProcessor smart constructor.

Constructors

StartStreamProcessor' Text

Instances

Instances details

Eq StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods (==) :: StartStreamProcessor -> StartStreamProcessor -> Bool # (/=) :: StartStreamProcessor -> StartStreamProcessor -> Bool #
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 #
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 #
NFData StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods rnf :: StartStreamProcessor -> () #
Hashable StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods hashWithSalt :: Int -> StartStreamProcessor -> Int # hash :: StartStreamProcessor -> Int #
ToJSON StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods toJSON :: StartStreamProcessor -> Value # toEncoding :: StartStreamProcessor -> Encoding # toJSONList :: [StartStreamProcessor] -> Value # toEncodingList :: [StartStreamProcessor] -> Encoding #
AWSRequest StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Associated Types type AWSResponse StartStreamProcessor # Methods request :: StartStreamProcessor -> Request StartStreamProcessor # response :: MonadResource m => Logger -> Service -> Proxy StartStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartStreamProcessor))) #
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 #
type Rep StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type Rep StartStreamProcessor = D1 ('MetaData "StartStreamProcessor" "Amazonka.Rekognition.StartStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse StartStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type AWSResponse StartStreamProcessor = StartStreamProcessorResponse

newStartStreamProcessor Source #

Arguments

:: Text	`$sel:name: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:name:StartStreamProcessor', startStreamProcessor_name - The name of the stream processor to start processing.

data StartStreamProcessorResponse Source #

See: newStartStreamProcessorResponse smart constructor.

Constructors

StartStreamProcessorResponse' Int

Instances

Instances details

Eq StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods (==) :: StartStreamProcessorResponse -> StartStreamProcessorResponse -> Bool # (/=) :: StartStreamProcessorResponse -> StartStreamProcessorResponse -> Bool #
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 #
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 #
NFData StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor Methods rnf :: StartStreamProcessorResponse -> () #
type Rep StartStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.StartStreamProcessor type Rep StartStreamProcessorResponse = D1 ('MetaData "StartStreamProcessorResponse" "Amazonka.Rekognition.StartStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartStreamProcessorResponse'" 'PrefixI 'True) (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:httpStatus:StartStreamProcessorResponse', startStreamProcessorResponse_httpStatus - The response's http status code.

DetectText

data DetectText Source #

See: newDetectText smart constructor.

Constructors

DetectText' (Maybe DetectTextFilters) Image

Instances

Instances details

Eq DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods (==) :: DetectText -> DetectText -> Bool # (/=) :: DetectText -> DetectText -> Bool #
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 #
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 #
NFData DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods rnf :: DetectText -> () #
Hashable DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods hashWithSalt :: Int -> DetectText -> Int # hash :: DetectText -> Int #
ToJSON DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods toJSON :: DetectText -> Value # toEncoding :: DetectText -> Encoding # toJSONList :: [DetectText] -> Value # toEncodingList :: [DetectText] -> Encoding #
AWSRequest DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText Associated Types type AWSResponse DetectText # Methods request :: DetectText -> Request DetectText # response :: MonadResource m => Logger -> Service -> Proxy DetectText -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectText))) #
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 #
type Rep DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText type Rep DetectText = D1 ('MetaData "DetectText" "Amazonka.Rekognition.DetectText" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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)))
type AWSResponse DetectText Source #
Instance details Defined in Amazonka.Rekognition.DetectText type AWSResponse DetectText = DetectTextResponse

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

Eq DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods (==) :: DetectTextResponse -> DetectTextResponse -> Bool # (/=) :: DetectTextResponse -> DetectTextResponse -> Bool #
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 #
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 #
NFData DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText Methods rnf :: DetectTextResponse -> () #
type Rep DetectTextResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectText type Rep DetectTextResponse = D1 ('MetaData "DetectTextResponse" "Amazonka.Rekognition.DetectText" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetSegmentDetection

data GetSegmentDetection Source #

See: newGetSegmentDetection smart constructor.

Constructors

GetSegmentDetection' (Maybe Text) (Maybe Natural) Text

Instances

Instances details

Eq GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods (==) :: GetSegmentDetection -> GetSegmentDetection -> Bool # (/=) :: GetSegmentDetection -> GetSegmentDetection -> Bool #
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 #
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 #
NFData GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods rnf :: GetSegmentDetection -> () #
Hashable GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods hashWithSalt :: Int -> GetSegmentDetection -> Int # hash :: GetSegmentDetection -> Int #
ToJSON GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods toJSON :: GetSegmentDetection -> Value # toEncoding :: GetSegmentDetection -> Encoding # toJSONList :: [GetSegmentDetection] -> Value # toEncodingList :: [GetSegmentDetection] -> Encoding #
AWSRequest GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Associated Types type AWSResponse GetSegmentDetection # Methods request :: GetSegmentDetection -> Request GetSegmentDetection # response :: MonadResource m => Logger -> Service -> Proxy GetSegmentDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetSegmentDetection))) #
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 #
type Rep GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type Rep GetSegmentDetection = D1 ('MetaData "GetSegmentDetection" "Amazonka.Rekognition.GetSegmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetSegmentDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetSegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type AWSResponse GetSegmentDetection = GetSegmentDetectionResponse

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

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

Instances

Instances details

Eq GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods (==) :: GetSegmentDetectionResponse -> GetSegmentDetectionResponse -> Bool # (/=) :: GetSegmentDetectionResponse -> GetSegmentDetectionResponse -> Bool #
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 #
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 #
NFData GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection Methods rnf :: GetSegmentDetectionResponse -> () #
type Rep GetSegmentDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetSegmentDetection type Rep GetSegmentDetectionResponse = D1 ('MetaData "GetSegmentDetectionResponse" "Amazonka.Rekognition.GetSegmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetSegmentDetectionResponse'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "selectedSegmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SegmentTypeInfo])) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [VideoMetadata])) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "segments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SegmentDetection])) :: S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus))) :: (S1 ('MetaSel ('Just "audioMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AudioMetadata])) :*: 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:selectedSegmentTypes:GetSegmentDetectionResponse', getSegmentDetectionResponse_selectedSegmentTypes - An array containing the segment types requested in the call to StartSegmentDetection.

$sel:nextToken: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: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:statusMessage:GetSegmentDetectionResponse', getSegmentDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

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

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

CompareFaces

data CompareFaces Source #

See: newCompareFaces smart constructor.

Constructors

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

Instances

Instances details

Eq CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods (==) :: CompareFaces -> CompareFaces -> Bool # (/=) :: CompareFaces -> CompareFaces -> Bool #
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 #
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 #
NFData CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods rnf :: CompareFaces -> () #
Hashable CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods hashWithSalt :: Int -> CompareFaces -> Int # hash :: CompareFaces -> Int #
ToJSON CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods toJSON :: CompareFaces -> Value # toEncoding :: CompareFaces -> Encoding # toJSONList :: [CompareFaces] -> Value # toEncodingList :: [CompareFaces] -> Encoding #
AWSRequest CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Associated Types type AWSResponse CompareFaces # Methods request :: CompareFaces -> Request CompareFaces # response :: MonadResource m => Logger -> Service -> Proxy CompareFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CompareFaces))) #
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 #
type Rep CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type Rep CompareFaces = D1 ('MetaData "CompareFaces" "Amazonka.Rekognition.CompareFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))
type AWSResponse CompareFaces Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type AWSResponse CompareFaces = CompareFacesResponse

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 [ComparedFace]) (Maybe OrientationCorrection) (Maybe OrientationCorrection) (Maybe ComparedSourceImageFace) Int

Instances

Instances details

Eq CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods (==) :: CompareFacesResponse -> CompareFacesResponse -> Bool # (/=) :: CompareFacesResponse -> CompareFacesResponse -> Bool #
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 #
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 #
NFData CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces Methods rnf :: CompareFacesResponse -> () #
type Rep CompareFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.CompareFaces type Rep CompareFacesResponse = D1 ('MetaData "CompareFacesResponse" "Amazonka.Rekognition.CompareFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CompareFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CompareFacesMatch])) :: (S1 ('MetaSel ('Just "unmatchedFaces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ComparedFace])) :: S1 ('MetaSel ('Just "targetImageOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)))) :: (S1 ('MetaSel ('Just "sourceImageOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: (S1 ('MetaSel ('Just "sourceImageFace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedSourceImageFace)) :*: 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:

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

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

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

DetectFaces

data DetectFaces Source #

See: newDetectFaces smart constructor.

Constructors

DetectFaces' (Maybe [Attribute]) Image

Instances

Instances details

Eq DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods (==) :: DetectFaces -> DetectFaces -> Bool # (/=) :: DetectFaces -> DetectFaces -> Bool #
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 #
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 #
NFData DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods rnf :: DetectFaces -> () #
Hashable DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods hashWithSalt :: Int -> DetectFaces -> Int # hash :: DetectFaces -> Int #
ToJSON DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods toJSON :: DetectFaces -> Value # toEncoding :: DetectFaces -> Encoding # toJSONList :: [DetectFaces] -> Value # toEncodingList :: [DetectFaces] -> Encoding #
AWSRequest DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Associated Types type AWSResponse DetectFaces # Methods request :: DetectFaces -> Request DetectFaces # response :: MonadResource m => Logger -> Service -> Proxy DetectFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectFaces))) #
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 #
type Rep DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type Rep DetectFaces = D1 ('MetaData "DetectFaces" "Amazonka.Rekognition.DetectFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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)))
type AWSResponse DetectFaces Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type AWSResponse DetectFaces = DetectFacesResponse

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 OrientationCorrection) (Maybe [FaceDetail]) Int

Instances

Instances details

Eq DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods (==) :: DetectFacesResponse -> DetectFacesResponse -> Bool # (/=) :: DetectFacesResponse -> DetectFacesResponse -> Bool #
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 #
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 #
NFData DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces Methods rnf :: DetectFacesResponse -> () #
type Rep DetectFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectFaces type Rep DetectFacesResponse = D1 ('MetaData "DetectFacesResponse" "Amazonka.Rekognition.DetectFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectFacesResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "orientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OrientationCorrection)) :: (S1 ('MetaSel ('Just "faceDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceDetail])) :: 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: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:faceDetails:DetectFacesResponse', detectFacesResponse_faceDetails - Details of each face found in the image.

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

GetFaceDetection

data GetFaceDetection Source #

See: newGetFaceDetection smart constructor.

Constructors

GetFaceDetection' (Maybe Text) (Maybe Natural) Text

Instances

Instances details

Eq GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods (==) :: GetFaceDetection -> GetFaceDetection -> Bool # (/=) :: GetFaceDetection -> GetFaceDetection -> Bool #
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 #
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 #
NFData GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods rnf :: GetFaceDetection -> () #
Hashable GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods hashWithSalt :: Int -> GetFaceDetection -> Int # hash :: GetFaceDetection -> Int #
ToJSON GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods toJSON :: GetFaceDetection -> Value # toEncoding :: GetFaceDetection -> Encoding # toJSONList :: [GetFaceDetection] -> Value # toEncodingList :: [GetFaceDetection] -> Encoding #
AWSRequest GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Associated Types type AWSResponse GetFaceDetection # Methods request :: GetFaceDetection -> Request GetFaceDetection # response :: MonadResource m => Logger -> Service -> Proxy GetFaceDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetFaceDetection))) #
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 #
type Rep GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type Rep GetFaceDetection = D1 ('MetaData "GetFaceDetection" "Amazonka.Rekognition.GetFaceDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetFaceDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type AWSResponse GetFaceDetection = GetFaceDetectionResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe [FaceDetection]) (Maybe VideoJobStatus) Int

Instances

Instances details

Eq GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods (==) :: GetFaceDetectionResponse -> GetFaceDetectionResponse -> Bool # (/=) :: GetFaceDetectionResponse -> GetFaceDetectionResponse -> Bool #
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 #
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 #
NFData GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection Methods rnf :: GetFaceDetectionResponse -> () #
type Rep GetFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.GetFaceDetection type Rep GetFaceDetectionResponse = D1 ('MetaData "GetFaceDetectionResponse" "Amazonka.Rekognition.GetFaceDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetFaceDetectionResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "faces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceDetection])) :: (S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :*: 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:nextToken: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.

$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:statusMessage:GetFaceDetectionResponse', getFaceDetectionResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

$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.

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

TagResource

data TagResource Source #

See: newTagResource smart constructor.

Constructors

TagResource' Text (HashMap Text Text)

Instances

Instances details

Eq TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods (==) :: TagResource -> TagResource -> Bool # (/=) :: TagResource -> TagResource -> Bool #
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 #
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 #
NFData TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods rnf :: TagResource -> () #
Hashable TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods hashWithSalt :: Int -> TagResource -> Int # hash :: TagResource -> Int #
ToJSON TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods toJSON :: TagResource -> Value # toEncoding :: TagResource -> Encoding # toJSONList :: [TagResource] -> Value # toEncodingList :: [TagResource] -> Encoding #
AWSRequest TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource Associated Types type AWSResponse TagResource # Methods request :: TagResource -> Request TagResource # response :: MonadResource m => Logger -> Service -> Proxy TagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse TagResource))) #
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 #
type Rep TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource type Rep TagResource = D1 ('MetaData "TagResource" "Amazonka.Rekognition.TagResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))
type AWSResponse TagResource Source #
Instance details Defined in Amazonka.Rekognition.TagResource type AWSResponse TagResource = TagResourceResponse

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

Eq TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods (==) :: TagResourceResponse -> TagResourceResponse -> Bool # (/=) :: TagResourceResponse -> TagResourceResponse -> Bool #
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 #
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 #
NFData TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource Methods rnf :: TagResourceResponse -> () #
type Rep TagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.TagResource type Rep TagResourceResponse = D1 ('MetaData "TagResourceResponse" "Amazonka.Rekognition.TagResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

ListFaces (Paginated)

data ListFaces Source #

See: newListFaces smart constructor.

Constructors

ListFaces' (Maybe Text) (Maybe Natural) Text

Instances

Instances details

Eq ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods (==) :: ListFaces -> ListFaces -> Bool # (/=) :: ListFaces -> ListFaces -> Bool #
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 #
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 #
NFData ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods rnf :: ListFaces -> () #
Hashable ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods hashWithSalt :: Int -> ListFaces -> Int # hash :: ListFaces -> Int #
ToJSON ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods toJSON :: ListFaces -> Value # toEncoding :: ListFaces -> Encoding # toJSONList :: [ListFaces] -> Value # toEncodingList :: [ListFaces] -> Encoding #
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 :: ListFaces -> Request ListFaces # response :: MonadResource m => Logger -> Service -> Proxy ListFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse ListFaces))) #
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 #
type Rep ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type Rep ListFaces = D1 ('MetaData "ListFaces" "Amazonka.Rekognition.ListFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListFaces'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse ListFaces Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type AWSResponse ListFaces = ListFacesResponse

newListFaces Source #

Arguments

:: Text	`$sel:collectionId: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:nextToken: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.

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

$sel:collectionId: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 Text) (Maybe [Face]) Int

Instances

Instances details

Eq ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods (==) :: ListFacesResponse -> ListFacesResponse -> Bool # (/=) :: ListFacesResponse -> ListFacesResponse -> Bool #
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 #
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 #
NFData ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces Methods rnf :: ListFacesResponse -> () #
type Rep ListFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.ListFaces type Rep ListFacesResponse = D1 ('MetaData "ListFacesResponse" "Amazonka.Rekognition.ListFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ListFacesResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "faces") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Face])) :*: 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:nextToken: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:faces:ListFacesResponse', listFacesResponse_faces - An array of Face objects.

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

CreateProjectVersion

data CreateProjectVersion Source #

See: newCreateProjectVersion smart constructor.

Constructors

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

Instances

Instances details

Eq CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods (==) :: CreateProjectVersion -> CreateProjectVersion -> Bool # (/=) :: CreateProjectVersion -> CreateProjectVersion -> Bool #
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 #
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 #
NFData CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods rnf :: CreateProjectVersion -> () #
Hashable CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods hashWithSalt :: Int -> CreateProjectVersion -> Int # hash :: CreateProjectVersion -> Int #
ToJSON CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods toJSON :: CreateProjectVersion -> Value # toEncoding :: CreateProjectVersion -> Encoding # toJSONList :: [CreateProjectVersion] -> Value # toEncodingList :: [CreateProjectVersion] -> Encoding #
AWSRequest CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Associated Types type AWSResponse CreateProjectVersion # Methods request :: CreateProjectVersion -> Request CreateProjectVersion # response :: MonadResource m => Logger -> Service -> Proxy CreateProjectVersion -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateProjectVersion))) #
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 #
type Rep CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type Rep CreateProjectVersion = D1 ('MetaData "CreateProjectVersion" "Amazonka.Rekognition.CreateProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "versionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputConfig)) :: (S1 ('MetaSel ('Just "trainingData") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingData) :: S1 ('MetaSel ('Just "testingData") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TestingData)))))
type AWSResponse CreateProjectVersion Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type AWSResponse CreateProjectVersion = CreateProjectVersionResponse

newCreateProjectVersion Source #

Arguments

:: Text	`$sel:projectArn:CreateProjectVersion'`
-> Text	`$sel:versionName:CreateProjectVersion'`
-> OutputConfig	`$sel:outputConfig:CreateProjectVersion'`
-> TrainingData	`$sel:trainingData:CreateProjectVersion'`
-> TestingData	`$sel:testingData: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:

$sel:kmsKeyId:CreateProjectVersion', createProjectVersion_kmsKeyId - The identifier for your AWS Key Management Service (AWS KMS) customer master key (CMK). You can supply the Amazon Resource Name (ARN) of your CMK, the ID of your CMK, an alias for your CMK, 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 CMK, you need the following permissions on the CMK.

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:projectArn: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.

$sel:outputConfig: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.

$sel:trainingData:CreateProjectVersion', createProjectVersion_trainingData - The dataset to use for training.

$sel:testingData:CreateProjectVersion', createProjectVersion_testingData - The dataset to use for testing.

data CreateProjectVersionResponse Source #

See: newCreateProjectVersionResponse smart constructor.

Constructors

CreateProjectVersionResponse' (Maybe Text) Int

Instances

Instances details

Eq CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods (==) :: CreateProjectVersionResponse -> CreateProjectVersionResponse -> Bool # (/=) :: CreateProjectVersionResponse -> CreateProjectVersionResponse -> Bool #
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 #
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 #
NFData CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion Methods rnf :: CreateProjectVersionResponse -> () #
type Rep CreateProjectVersionResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProjectVersion type Rep CreateProjectVersionResponse = D1 ('MetaData "CreateProjectVersionResponse" "Amazonka.Rekognition.CreateProjectVersion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:projectVersionArn: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.

DescribeProjects (Paginated)

data DescribeProjects Source #

See: newDescribeProjects smart constructor.

Constructors

DescribeProjects' (Maybe Text) (Maybe Natural)

Instances

Instances details

Eq DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods (==) :: DescribeProjects -> DescribeProjects -> Bool # (/=) :: DescribeProjects -> DescribeProjects -> Bool #
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 #
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 #
NFData DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods rnf :: DescribeProjects -> () #
Hashable DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods hashWithSalt :: Int -> DescribeProjects -> Int # hash :: DescribeProjects -> Int #
ToJSON DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods toJSON :: DescribeProjects -> Value # toEncoding :: DescribeProjects -> Encoding # toJSONList :: [DescribeProjects] -> Value # toEncodingList :: [DescribeProjects] -> Encoding #
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 :: DescribeProjects -> Request DescribeProjects # response :: MonadResource m => Logger -> Service -> Proxy DescribeProjects -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribeProjects))) #
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 #
type Rep DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type Rep DescribeProjects = D1 ('MetaData "DescribeProjects" "Amazonka.Rekognition.DescribeProjects" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DescribeProjects'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))
type AWSResponse DescribeProjects Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type AWSResponse DescribeProjects = DescribeProjectsResponse

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:nextToken: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: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.

data DescribeProjectsResponse Source #

See: newDescribeProjectsResponse smart constructor.

Constructors

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

Instances

Instances details

Eq DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods (==) :: DescribeProjectsResponse -> DescribeProjectsResponse -> Bool # (/=) :: DescribeProjectsResponse -> DescribeProjectsResponse -> Bool #
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 #
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 #
NFData DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects Methods rnf :: DescribeProjectsResponse -> () #
type Rep DescribeProjectsResponse Source #
Instance details Defined in Amazonka.Rekognition.DescribeProjects type Rep DescribeProjectsResponse = D1 ('MetaData "DescribeProjectsResponse" "Amazonka.Rekognition.DescribeProjects" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:nextToken: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.

GetContentModeration

data GetContentModeration Source #

See: newGetContentModeration smart constructor.

Constructors

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

Instances

Instances details

Eq GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods (==) :: GetContentModeration -> GetContentModeration -> Bool # (/=) :: GetContentModeration -> GetContentModeration -> Bool #
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 #
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 #
NFData GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods rnf :: GetContentModeration -> () #
Hashable GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods hashWithSalt :: Int -> GetContentModeration -> Int # hash :: GetContentModeration -> Int #
ToJSON GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods toJSON :: GetContentModeration -> Value # toEncoding :: GetContentModeration -> Encoding # toJSONList :: [GetContentModeration] -> Value # toEncodingList :: [GetContentModeration] -> Encoding #
AWSRequest GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Associated Types type AWSResponse GetContentModeration # Methods request :: GetContentModeration -> Request GetContentModeration # response :: MonadResource m => Logger -> Service -> Proxy GetContentModeration -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetContentModeration))) #
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 #
type Rep GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type Rep GetContentModeration = D1 ('MetaData "GetContentModeration" "Amazonka.Rekognition.GetContentModeration" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetContentModeration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "maxResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "sortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContentModerationSortBy)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))
type AWSResponse GetContentModeration Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type AWSResponse GetContentModeration = GetContentModerationResponse

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:nextToken: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: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.

$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 Text) (Maybe VideoMetadata) (Maybe Text) (Maybe VideoJobStatus) (Maybe Text) (Maybe [ContentModerationDetection]) Int

Instances

Instances details

Eq GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods (==) :: GetContentModerationResponse -> GetContentModerationResponse -> Bool # (/=) :: GetContentModerationResponse -> GetContentModerationResponse -> Bool #
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 #
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 #
NFData GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration Methods rnf :: GetContentModerationResponse -> () #
type Rep GetContentModerationResponse Source #
Instance details Defined in Amazonka.Rekognition.GetContentModeration type Rep GetContentModerationResponse = D1 ('MetaData "GetContentModerationResponse" "Amazonka.Rekognition.GetContentModeration" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetContentModerationResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "nextToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "videoMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoMetadata)) :: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "jobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoJobStatus)) :: S1 ('MetaSel ('Just "moderationModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "moderationLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentModerationDetection])) :: 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:nextToken: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.

$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:statusMessage:GetContentModerationResponse', getContentModerationResponse_statusMessage - If the job fails, StatusMessage provides a descriptive error message.

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

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

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

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

DeleteFaces

data DeleteFaces Source #

See: newDeleteFaces smart constructor.

Constructors

DeleteFaces' Text (NonEmpty Text)

Instances

Instances details

Eq DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods (==) :: DeleteFaces -> DeleteFaces -> Bool # (/=) :: DeleteFaces -> DeleteFaces -> Bool #
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 #
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 #
NFData DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods rnf :: DeleteFaces -> () #
Hashable DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods hashWithSalt :: Int -> DeleteFaces -> Int # hash :: DeleteFaces -> Int #
ToJSON DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods toJSON :: DeleteFaces -> Value # toEncoding :: DeleteFaces -> Encoding # toJSONList :: [DeleteFaces] -> Value # toEncodingList :: [DeleteFaces] -> Encoding #
AWSRequest DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Associated Types type AWSResponse DeleteFaces # Methods request :: DeleteFaces -> Request DeleteFaces # response :: MonadResource m => Logger -> Service -> Proxy DeleteFaces -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteFaces))) #
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 #
type Rep DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type Rep DeleteFaces = D1 ('MetaData "DeleteFaces" "Amazonka.Rekognition.DeleteFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))
type AWSResponse DeleteFaces Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type AWSResponse DeleteFaces = DeleteFacesResponse

newDeleteFaces Source #

Arguments

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

$sel:collectionId: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

Eq DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods (==) :: DeleteFacesResponse -> DeleteFacesResponse -> Bool # (/=) :: DeleteFacesResponse -> DeleteFacesResponse -> Bool #
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 #
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 #
NFData DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces Methods rnf :: DeleteFacesResponse -> () #
type Rep DeleteFacesResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteFaces type Rep DeleteFacesResponse = D1 ('MetaData "DeleteFacesResponse" "Amazonka.Rekognition.DeleteFaces" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

GetCelebrityInfo

data GetCelebrityInfo Source #

See: newGetCelebrityInfo smart constructor.

Constructors

GetCelebrityInfo' Text

Instances

Instances details

Eq GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods (==) :: GetCelebrityInfo -> GetCelebrityInfo -> Bool # (/=) :: GetCelebrityInfo -> GetCelebrityInfo -> Bool #
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 #
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 #
NFData GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods rnf :: GetCelebrityInfo -> () #
Hashable GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods hashWithSalt :: Int -> GetCelebrityInfo -> Int # hash :: GetCelebrityInfo -> Int #
ToJSON GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods toJSON :: GetCelebrityInfo -> Value # toEncoding :: GetCelebrityInfo -> Encoding # toJSONList :: [GetCelebrityInfo] -> Value # toEncodingList :: [GetCelebrityInfo] -> Encoding #
AWSRequest GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Associated Types type AWSResponse GetCelebrityInfo # Methods request :: GetCelebrityInfo -> Request GetCelebrityInfo # response :: MonadResource m => Logger -> Service -> Proxy GetCelebrityInfo -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse GetCelebrityInfo))) #
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 #
type Rep GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type Rep GetCelebrityInfo = D1 ('MetaData "GetCelebrityInfo" "Amazonka.Rekognition.GetCelebrityInfo" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetCelebrityInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse GetCelebrityInfo Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type AWSResponse GetCelebrityInfo = GetCelebrityInfoResponse

newGetCelebrityInfo Source #

Arguments

:: Text	`$sel:id: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:

$sel:id: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 [Text]) (Maybe KnownGender) (Maybe Text) Int

Instances

Instances details

Eq GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods (==) :: GetCelebrityInfoResponse -> GetCelebrityInfoResponse -> Bool # (/=) :: GetCelebrityInfoResponse -> GetCelebrityInfoResponse -> Bool #
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 #
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 #
NFData GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo Methods rnf :: GetCelebrityInfoResponse -> () #
type Rep GetCelebrityInfoResponse Source #
Instance details Defined in Amazonka.Rekognition.GetCelebrityInfo type Rep GetCelebrityInfoResponse = D1 ('MetaData "GetCelebrityInfoResponse" "Amazonka.Rekognition.GetCelebrityInfo" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "GetCelebrityInfoResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "urls") '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 "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:

$sel:urls:GetCelebrityInfoResponse', getCelebrityInfoResponse_urls - An array of URLs pointing to additional celebrity information.

$sel:knownGender:GetCelebrityInfoResponse', getCelebrityInfoResponse_knownGender - Retrieves the known gender for the celebrity.

$sel:name:GetCelebrityInfoResponse', getCelebrityInfoResponse_name - The name of the celebrity.

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

DeleteStreamProcessor

data DeleteStreamProcessor Source #

See: newDeleteStreamProcessor smart constructor.

Constructors

DeleteStreamProcessor' Text

Instances

Instances details

Eq DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods (==) :: DeleteStreamProcessor -> DeleteStreamProcessor -> Bool # (/=) :: DeleteStreamProcessor -> DeleteStreamProcessor -> Bool #
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 #
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 #
NFData DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods rnf :: DeleteStreamProcessor -> () #
Hashable DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods hashWithSalt :: Int -> DeleteStreamProcessor -> Int # hash :: DeleteStreamProcessor -> Int #
ToJSON DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods toJSON :: DeleteStreamProcessor -> Value # toEncoding :: DeleteStreamProcessor -> Encoding # toJSONList :: [DeleteStreamProcessor] -> Value # toEncodingList :: [DeleteStreamProcessor] -> Encoding #
AWSRequest DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Associated Types type AWSResponse DeleteStreamProcessor # Methods request :: DeleteStreamProcessor -> Request DeleteStreamProcessor # response :: MonadResource m => Logger -> Service -> Proxy DeleteStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteStreamProcessor))) #
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 #
type Rep DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type Rep DeleteStreamProcessor = D1 ('MetaData "DeleteStreamProcessor" "Amazonka.Rekognition.DeleteStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DeleteStreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DeleteStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type AWSResponse DeleteStreamProcessor = DeleteStreamProcessorResponse

newDeleteStreamProcessor Source #

Arguments

:: Text	`$sel:name: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:

$sel:name: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

Eq DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods (==) :: DeleteStreamProcessorResponse -> DeleteStreamProcessorResponse -> Bool # (/=) :: DeleteStreamProcessorResponse -> DeleteStreamProcessorResponse -> Bool #
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 #
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 #
NFData DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor Methods rnf :: DeleteStreamProcessorResponse -> () #
type Rep DeleteStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.DeleteStreamProcessor type Rep DeleteStreamProcessorResponse = D1 ('MetaData "DeleteStreamProcessorResponse" "Amazonka.Rekognition.DeleteStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

UntagResource

data UntagResource Source #

See: newUntagResource smart constructor.

Constructors

UntagResource' Text [Text]

Instances

Instances details

Eq UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods (==) :: UntagResource -> UntagResource -> Bool # (/=) :: UntagResource -> UntagResource -> Bool #
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 #
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 #
NFData UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods rnf :: UntagResource -> () #
Hashable UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods hashWithSalt :: Int -> UntagResource -> Int # hash :: UntagResource -> Int #
ToJSON UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods toJSON :: UntagResource -> Value # toEncoding :: UntagResource -> Encoding # toJSONList :: [UntagResource] -> Value # toEncodingList :: [UntagResource] -> Encoding #
AWSRequest UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Associated Types type AWSResponse UntagResource # Methods request :: UntagResource -> Request UntagResource # response :: MonadResource m => Logger -> Service -> Proxy UntagResource -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse UntagResource))) #
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 #
type Rep UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type Rep UntagResource = D1 ('MetaData "UntagResource" "Amazonka.Rekognition.UntagResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "UntagResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "tagKeys") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))
type AWSResponse UntagResource Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type AWSResponse UntagResource = UntagResourceResponse

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

Eq UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods (==) :: UntagResourceResponse -> UntagResourceResponse -> Bool # (/=) :: UntagResourceResponse -> UntagResourceResponse -> Bool #
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 #
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 #
NFData UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource Methods rnf :: UntagResourceResponse -> () #
type Rep UntagResourceResponse Source #
Instance details Defined in Amazonka.Rekognition.UntagResource type Rep UntagResourceResponse = D1 ('MetaData "UntagResourceResponse" "Amazonka.Rekognition.UntagResource" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

DetectModerationLabels

data DetectModerationLabels Source #

See: newDetectModerationLabels smart constructor.

Constructors

DetectModerationLabels' (Maybe HumanLoopConfig) (Maybe Double) Image

Instances

Instances details

Eq DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods (==) :: DetectModerationLabels -> DetectModerationLabels -> Bool # (/=) :: DetectModerationLabels -> DetectModerationLabels -> Bool #
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 #
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 #
NFData DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods rnf :: DetectModerationLabels -> () #
Hashable DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods hashWithSalt :: Int -> DetectModerationLabels -> Int # hash :: DetectModerationLabels -> Int #
ToJSON DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods toJSON :: DetectModerationLabels -> Value # toEncoding :: DetectModerationLabels -> Encoding # toJSONList :: [DetectModerationLabels] -> Value # toEncodingList :: [DetectModerationLabels] -> Encoding #
AWSRequest DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Associated Types type AWSResponse DetectModerationLabels # Methods request :: DetectModerationLabels -> Request DetectModerationLabels # response :: MonadResource m => Logger -> Service -> Proxy DetectModerationLabels -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DetectModerationLabels))) #
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 #
type Rep DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type Rep DetectModerationLabels = D1 ('MetaData "DetectModerationLabels" "Amazonka.Rekognition.DetectModerationLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))
type AWSResponse DetectModerationLabels Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type AWSResponse DetectModerationLabels = DetectModerationLabelsResponse

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.

$sel:minConfidence: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 Text) (Maybe [ModerationLabel]) Int

Instances

Instances details

Eq DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods (==) :: DetectModerationLabelsResponse -> DetectModerationLabelsResponse -> Bool # (/=) :: DetectModerationLabelsResponse -> DetectModerationLabelsResponse -> Bool #
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 #
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 #
NFData DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels Methods rnf :: DetectModerationLabelsResponse -> () #
type Rep DetectModerationLabelsResponse Source #
Instance details Defined in Amazonka.Rekognition.DetectModerationLabels type Rep DetectModerationLabelsResponse = D1 ('MetaData "DetectModerationLabelsResponse" "Amazonka.Rekognition.DetectModerationLabels" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "DetectModerationLabelsResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "humanLoopActivationOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopActivationOutput)) :: S1 ('MetaSel ('Just "moderationModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "moderationLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModerationLabel])) :*: 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:moderationModelVersion:DetectModerationLabelsResponse', detectModerationLabelsResponse_moderationModelVersion - Version number of the moderation detection model that was used to detect unsafe content.

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

CreateStreamProcessor

data CreateStreamProcessor Source #

See: newCreateStreamProcessor smart constructor.

Constructors

CreateStreamProcessor' (Maybe (HashMap Text Text)) StreamProcessorInput StreamProcessorOutput Text StreamProcessorSettings Text

Instances

Instances details

Eq CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods (==) :: CreateStreamProcessor -> CreateStreamProcessor -> Bool # (/=) :: CreateStreamProcessor -> CreateStreamProcessor -> Bool #
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 #
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 #
NFData CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods rnf :: CreateStreamProcessor -> () #
Hashable CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods hashWithSalt :: Int -> CreateStreamProcessor -> Int # hash :: CreateStreamProcessor -> Int #
ToJSON CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods toJSON :: CreateStreamProcessor -> Value # toEncoding :: CreateStreamProcessor -> Encoding # toJSONList :: [CreateStreamProcessor] -> Value # toEncodingList :: [CreateStreamProcessor] -> Encoding #
AWSRequest CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Associated Types type AWSResponse CreateStreamProcessor # Methods request :: CreateStreamProcessor -> Request CreateStreamProcessor # response :: MonadResource m => Logger -> Service -> Proxy CreateStreamProcessor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateStreamProcessor))) #
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 #
type Rep CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type Rep CreateStreamProcessor = D1 ('MetaData "CreateStreamProcessor" "Amazonka.Rekognition.CreateStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CreateStreamProcessor'" 'PrefixI 'True) ((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)))))
type AWSResponse CreateStreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type AWSResponse CreateStreamProcessor = CreateStreamProcessorResponse

newCreateStreamProcessor Source #

Arguments

:: StreamProcessorInput	`$sel:input:CreateStreamProcessor'`
-> StreamProcessorOutput	`$sel:output:CreateStreamProcessor'`
-> Text	`$sel:name:CreateStreamProcessor'`
-> StreamProcessorSettings	`$sel:settings:CreateStreamProcessor'`
-> Text	`$sel:roleArn: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:tags:CreateStreamProcessor', createStreamProcessor_tags - A set of tags (key-value pairs) that you want to attach to the stream processor.

$sel:input: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.

$sel:output:CreateStreamProcessor', createStreamProcessor_output - Kinesis data stream stream to which Amazon Rekognition Video puts the analysis results. If you are using the AWS CLI, the parameter name is StreamProcessorOutput.

$sel:name: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.

$sel:settings:CreateStreamProcessor', createStreamProcessor_settings - Face recognition input parameters to be used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.

$sel:roleArn:CreateStreamProcessor', createStreamProcessor_roleArn - ARN of the IAM role that allows access to the stream processor.

data CreateStreamProcessorResponse Source #

See: newCreateStreamProcessorResponse smart constructor.

Constructors

CreateStreamProcessorResponse' (Maybe Text) Int

Instances

Instances details

Eq CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods (==) :: CreateStreamProcessorResponse -> CreateStreamProcessorResponse -> Bool # (/=) :: CreateStreamProcessorResponse -> CreateStreamProcessorResponse -> Bool #
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 #
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 #
NFData CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor Methods rnf :: CreateStreamProcessorResponse -> () #
type Rep CreateStreamProcessorResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateStreamProcessor type Rep CreateStreamProcessorResponse = D1 ('MetaData "CreateStreamProcessorResponse" "Amazonka.Rekognition.CreateStreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 - ARN for the newly create stream processor.

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

StartFaceDetection

data StartFaceDetection Source #

See: newStartFaceDetection smart constructor.

Constructors

StartFaceDetection' (Maybe Text) (Maybe NotificationChannel) (Maybe Text) (Maybe FaceAttributes) Video

Instances

Instances details

Eq StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods (==) :: StartFaceDetection -> StartFaceDetection -> Bool # (/=) :: StartFaceDetection -> StartFaceDetection -> Bool #
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 #
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 #
NFData StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods rnf :: StartFaceDetection -> () #
Hashable StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods hashWithSalt :: Int -> StartFaceDetection -> Int # hash :: StartFaceDetection -> Int #
ToJSON StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods toJSON :: StartFaceDetection -> Value # toEncoding :: StartFaceDetection -> Encoding # toJSONList :: [StartFaceDetection] -> Value # toEncodingList :: [StartFaceDetection] -> Encoding #
AWSRequest StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Associated Types type AWSResponse StartFaceDetection # Methods request :: StartFaceDetection -> Request StartFaceDetection # response :: MonadResource m => Logger -> Service -> Proxy StartFaceDetection -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse StartFaceDetection))) #
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 #
type Rep StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type Rep StartFaceDetection = D1 ('MetaData "StartFaceDetection" "Amazonka.Rekognition.StartFaceDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartFaceDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "jobTag") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notificationChannel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationChannel))) :: (S1 ('MetaSel ('Just "clientRequestToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "faceAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceAttributes)) :: S1 ('MetaSel ('Just "video") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Video)))))
type AWSResponse StartFaceDetection Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type AWSResponse StartFaceDetection = StartFaceDetectionResponse

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: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: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: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

Eq StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods (==) :: StartFaceDetectionResponse -> StartFaceDetectionResponse -> Bool # (/=) :: StartFaceDetectionResponse -> StartFaceDetectionResponse -> Bool #
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 #
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 #
NFData StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection Methods rnf :: StartFaceDetectionResponse -> () #
type Rep StartFaceDetectionResponse Source #
Instance details Defined in Amazonka.Rekognition.StartFaceDetection type Rep StartFaceDetectionResponse = D1 ('MetaData "StartFaceDetectionResponse" "Amazonka.Rekognition.StartFaceDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

CreateProject

data CreateProject Source #

See: newCreateProject smart constructor.

Constructors

CreateProject' Text

Instances

Instances details

Eq CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods (==) :: CreateProject -> CreateProject -> Bool # (/=) :: CreateProject -> CreateProject -> Bool #
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 #
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 #
NFData CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods rnf :: CreateProject -> () #
Hashable CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods hashWithSalt :: Int -> CreateProject -> Int # hash :: CreateProject -> Int #
ToJSON CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods toJSON :: CreateProject -> Value # toEncoding :: CreateProject -> Encoding # toJSONList :: [CreateProject] -> Value # toEncodingList :: [CreateProject] -> Encoding #
AWSRequest CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Associated Types type AWSResponse CreateProject # Methods request :: CreateProject -> Request CreateProject # response :: MonadResource m => Logger -> Service -> Proxy CreateProject -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse CreateProject))) #
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 #
type Rep CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type Rep CreateProject = D1 ('MetaData "CreateProject" "Amazonka.Rekognition.CreateProject" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CreateProject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse CreateProject Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type AWSResponse CreateProject = CreateProjectResponse

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

Eq CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods (==) :: CreateProjectResponse -> CreateProjectResponse -> Bool # (/=) :: CreateProjectResponse -> CreateProjectResponse -> Bool #
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 #
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 #
NFData CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject Methods rnf :: CreateProjectResponse -> () #
type Rep CreateProjectResponse Source #
Instance details Defined in Amazonka.Rekognition.CreateProject type Rep CreateProjectResponse = D1 ('MetaData "CreateProjectResponse" "Amazonka.Rekognition.CreateProject" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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:

$sel:projectArn: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.

Types

Attribute

newtype Attribute Source #

Constructors

Attribute'
Fields fromAttribute :: Text

Bundled Patterns

pattern Attribute_ALL :: Attribute
pattern Attribute_DEFAULT :: Attribute

Instances

Instances details

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 #
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 #
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 #
NFData Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods rnf :: Attribute -> () #
Hashable Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods hashWithSalt :: Int -> Attribute -> Int # hash :: Attribute -> Int #
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] #
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] #
ToLog Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods build :: Attribute -> ByteStringBuilder #
ToHeader Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toHeader :: HeaderName -> Attribute -> [Header] #
ToQuery Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toQuery :: Attribute -> QueryString #
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 #
ToByteString Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toBS :: Attribute -> ByteString #
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 #
type Rep Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute type Rep Attribute = D1 ('MetaData "Attribute" "Amazonka.Rekognition.Types.Attribute" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods rnf :: BodyPart -> () #
Hashable BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods hashWithSalt :: Int -> BodyPart -> Int # hash :: BodyPart -> Int #
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] #
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] #
ToLog BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods build :: BodyPart -> ByteStringBuilder #
ToHeader BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toHeader :: HeaderName -> BodyPart -> [Header] #
ToQuery BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toQuery :: BodyPart -> QueryString #
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 #
ToByteString BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toBS :: BodyPart -> ByteString #
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 #
type Rep BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart type Rep BodyPart = D1 ('MetaData "BodyPart" "Amazonka.Rekognition.Types.BodyPart" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods rnf :: CelebrityRecognitionSortBy -> () #
Hashable CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods hashWithSalt :: Int -> CelebrityRecognitionSortBy -> Int # hash :: CelebrityRecognitionSortBy -> Int #
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] #
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] #
ToLog CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods build :: CelebrityRecognitionSortBy -> ByteStringBuilder #
ToHeader CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toHeader :: HeaderName -> CelebrityRecognitionSortBy -> [Header] #
ToQuery CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toQuery :: CelebrityRecognitionSortBy -> QueryString #
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 #
ToByteString CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toBS :: CelebrityRecognitionSortBy -> ByteString #
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 #
type Rep CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy type Rep CelebrityRecognitionSortBy = D1 ('MetaData "CelebrityRecognitionSortBy" "Amazonka.Rekognition.Types.CelebrityRecognitionSortBy" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods rnf :: ContentClassifier -> () #
Hashable ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods hashWithSalt :: Int -> ContentClassifier -> Int # hash :: ContentClassifier -> Int #
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] #
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] #
ToLog ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods build :: ContentClassifier -> ByteStringBuilder #
ToHeader ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toHeader :: HeaderName -> ContentClassifier -> [Header] #
ToQuery ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toQuery :: ContentClassifier -> QueryString #
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 #
ToByteString ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toBS :: ContentClassifier -> ByteString #
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 #
type Rep ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.Rekognition.Types.ContentClassifier" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods rnf :: ContentModerationSortBy -> () #
Hashable ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods hashWithSalt :: Int -> ContentModerationSortBy -> Int # hash :: ContentModerationSortBy -> Int #
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] #
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] #
ToLog ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods build :: ContentModerationSortBy -> ByteStringBuilder #
ToHeader ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toHeader :: HeaderName -> ContentModerationSortBy -> [Header] #
ToQuery ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toQuery :: ContentModerationSortBy -> QueryString #
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 #
ToByteString ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toBS :: ContentModerationSortBy -> ByteString #
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 #
type Rep ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy type Rep ContentModerationSortBy = D1 ('MetaData "ContentModerationSortBy" "Amazonka.Rekognition.Types.ContentModerationSortBy" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'True) (C1 ('MetaCons "ContentModerationSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentModerationSortBy") '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

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 #
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 #
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 #
NFData EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods rnf :: EmotionName -> () #
Hashable EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods hashWithSalt :: Int -> EmotionName -> Int # hash :: EmotionName -> Int #
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] #
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] #
ToLog EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods build :: EmotionName -> ByteStringBuilder #
ToHeader EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toHeader :: HeaderName -> EmotionName -> [Header] #
ToQuery EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toQuery :: EmotionName -> QueryString #
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 #
ToByteString EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toBS :: EmotionName -> ByteString #
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 #
type Rep EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName type Rep EmotionName = D1 ('MetaData "EmotionName" "Amazonka.Rekognition.Types.EmotionName" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods rnf :: FaceAttributes -> () #
Hashable FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods hashWithSalt :: Int -> FaceAttributes -> Int # hash :: FaceAttributes -> Int #
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] #
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] #
ToLog FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods build :: FaceAttributes -> ByteStringBuilder #
ToHeader FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toHeader :: HeaderName -> FaceAttributes -> [Header] #
ToQuery FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toQuery :: FaceAttributes -> QueryString #
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 #
ToByteString FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toBS :: FaceAttributes -> ByteString #
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 #
type Rep FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes type Rep FaceAttributes = D1 ('MetaData "FaceAttributes" "Amazonka.Rekognition.Types.FaceAttributes" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods rnf :: FaceSearchSortBy -> () #
Hashable FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods hashWithSalt :: Int -> FaceSearchSortBy -> Int # hash :: FaceSearchSortBy -> Int #
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] #
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] #
ToLog FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods build :: FaceSearchSortBy -> ByteStringBuilder #
ToHeader FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toHeader :: HeaderName -> FaceSearchSortBy -> [Header] #
ToQuery FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toQuery :: FaceSearchSortBy -> QueryString #
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 #
ToByteString FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toBS :: FaceSearchSortBy -> ByteString #
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 #
type Rep FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy type Rep FaceSearchSortBy = D1 ('MetaData "FaceSearchSortBy" "Amazonka.Rekognition.Types.FaceSearchSortBy" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods rnf :: GenderType -> () #
Hashable GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods hashWithSalt :: Int -> GenderType -> Int # hash :: GenderType -> Int #
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] #
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] #
ToLog GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods build :: GenderType -> ByteStringBuilder #
ToHeader GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toHeader :: HeaderName -> GenderType -> [Header] #
ToQuery GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toQuery :: GenderType -> QueryString #
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 #
ToByteString GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toBS :: GenderType -> ByteString #
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 #
type Rep GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType type Rep GenderType = D1 ('MetaData "GenderType" "Amazonka.Rekognition.Types.GenderType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Instances

Instances details

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 #
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 #
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 #
NFData KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods rnf :: KnownGenderType -> () #
Hashable KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods hashWithSalt :: Int -> KnownGenderType -> Int # hash :: KnownGenderType -> Int #
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] #
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] #
ToLog KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods build :: KnownGenderType -> ByteStringBuilder #
ToHeader KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toHeader :: HeaderName -> KnownGenderType -> [Header] #
ToQuery KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toQuery :: KnownGenderType -> QueryString #
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 #
ToByteString KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toBS :: KnownGenderType -> ByteString #
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 #
type Rep KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType type Rep KnownGenderType = D1 ('MetaData "KnownGenderType" "Amazonka.Rekognition.Types.KnownGenderType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'True) (C1 ('MetaCons "KnownGenderType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromKnownGenderType") '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

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 #
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 #
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 #
NFData LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods rnf :: LabelDetectionSortBy -> () #
Hashable LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods hashWithSalt :: Int -> LabelDetectionSortBy -> Int # hash :: LabelDetectionSortBy -> Int #
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] #
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] #
ToLog LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods build :: LabelDetectionSortBy -> ByteStringBuilder #
ToHeader LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toHeader :: HeaderName -> LabelDetectionSortBy -> [Header] #
ToQuery LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toQuery :: LabelDetectionSortBy -> QueryString #
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 #
ToByteString LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toBS :: LabelDetectionSortBy -> ByteString #
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 #
type Rep LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy type Rep LabelDetectionSortBy = D1 ('MetaData "LabelDetectionSortBy" "Amazonka.Rekognition.Types.LabelDetectionSortBy" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods rnf :: LandmarkType -> () #
Hashable LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods hashWithSalt :: Int -> LandmarkType -> Int # hash :: LandmarkType -> Int #
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] #
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] #
ToLog LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods build :: LandmarkType -> ByteStringBuilder #
ToHeader LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toHeader :: HeaderName -> LandmarkType -> [Header] #
ToQuery LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toQuery :: LandmarkType -> QueryString #
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 #
ToByteString LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toBS :: LandmarkType -> ByteString #
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 #
type Rep LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType type Rep LandmarkType = D1 ('MetaData "LandmarkType" "Amazonka.Rekognition.Types.LandmarkType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods rnf :: OrientationCorrection -> () #
Hashable OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods hashWithSalt :: Int -> OrientationCorrection -> Int # hash :: OrientationCorrection -> Int #
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] #
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] #
ToLog OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods build :: OrientationCorrection -> ByteStringBuilder #
ToHeader OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toHeader :: HeaderName -> OrientationCorrection -> [Header] #
ToQuery OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toQuery :: OrientationCorrection -> QueryString #
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 #
ToByteString OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toBS :: OrientationCorrection -> ByteString #
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 #
type Rep OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection type Rep OrientationCorrection = D1 ('MetaData "OrientationCorrection" "Amazonka.Rekognition.Types.OrientationCorrection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods rnf :: PersonTrackingSortBy -> () #
Hashable PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods hashWithSalt :: Int -> PersonTrackingSortBy -> Int # hash :: PersonTrackingSortBy -> Int #
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] #
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] #
ToLog PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods build :: PersonTrackingSortBy -> ByteStringBuilder #
ToHeader PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toHeader :: HeaderName -> PersonTrackingSortBy -> [Header] #
ToQuery PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toQuery :: PersonTrackingSortBy -> QueryString #
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 #
ToByteString PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toBS :: PersonTrackingSortBy -> ByteString #
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 #
type Rep PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy type Rep PersonTrackingSortBy = D1 ('MetaData "PersonTrackingSortBy" "Amazonka.Rekognition.Types.PersonTrackingSortBy" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods rnf :: ProjectStatus -> () #
Hashable ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods hashWithSalt :: Int -> ProjectStatus -> Int # hash :: ProjectStatus -> Int #
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] #
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] #
ToLog ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods build :: ProjectStatus -> ByteStringBuilder #
ToHeader ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toHeader :: HeaderName -> ProjectStatus -> [Header] #
ToQuery ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toQuery :: ProjectStatus -> QueryString #
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 #
ToByteString ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toBS :: ProjectStatus -> ByteString #
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 #
type Rep ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus type Rep ProjectStatus = D1 ('MetaData "ProjectStatus" "Amazonka.Rekognition.Types.ProjectStatus" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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_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

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 #
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 #
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 #
NFData ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods rnf :: ProjectVersionStatus -> () #
Hashable ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods hashWithSalt :: Int -> ProjectVersionStatus -> Int # hash :: ProjectVersionStatus -> Int #
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] #
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] #
ToLog ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods build :: ProjectVersionStatus -> ByteStringBuilder #
ToHeader ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toHeader :: HeaderName -> ProjectVersionStatus -> [Header] #
ToQuery ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toQuery :: ProjectVersionStatus -> QueryString #
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 #
ToByteString ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toBS :: ProjectVersionStatus -> ByteString #
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 #
type Rep ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus type Rep ProjectVersionStatus = D1 ('MetaData "ProjectVersionStatus" "Amazonka.Rekognition.Types.ProjectVersionStatus" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods rnf :: ProtectiveEquipmentType -> () #
Hashable ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods hashWithSalt :: Int -> ProtectiveEquipmentType -> Int # hash :: ProtectiveEquipmentType -> Int #
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] #
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] #
ToLog ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods build :: ProtectiveEquipmentType -> ByteStringBuilder #
ToHeader ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toHeader :: HeaderName -> ProtectiveEquipmentType -> [Header] #
ToQuery ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toQuery :: ProtectiveEquipmentType -> QueryString #
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 #
ToByteString ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toBS :: ProtectiveEquipmentType -> ByteString #
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 #
type Rep ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType type Rep ProtectiveEquipmentType = D1 ('MetaData "ProtectiveEquipmentType" "Amazonka.Rekognition.Types.ProtectiveEquipmentType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods rnf :: QualityFilter -> () #
Hashable QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods hashWithSalt :: Int -> QualityFilter -> Int # hash :: QualityFilter -> Int #
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] #
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] #
ToLog QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods build :: QualityFilter -> ByteStringBuilder #
ToHeader QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toHeader :: HeaderName -> QualityFilter -> [Header] #
ToQuery QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toQuery :: QualityFilter -> QueryString #
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 #
ToByteString QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toBS :: QualityFilter -> ByteString #
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 #
type Rep QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter type Rep QualityFilter = D1 ('MetaData "QualityFilter" "Amazonka.Rekognition.Types.QualityFilter" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods rnf :: Reason -> () #
Hashable Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods hashWithSalt :: Int -> Reason -> Int # hash :: Reason -> Int #
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] #
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] #
ToLog Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods build :: Reason -> ByteStringBuilder #
ToHeader Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toHeader :: HeaderName -> Reason -> [Header] #
ToQuery Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toQuery :: Reason -> QueryString #
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 #
ToByteString Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toBS :: Reason -> ByteString #
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 #
type Rep Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason type Rep Reason = D1 ('MetaData "Reason" "Amazonka.Rekognition.Types.Reason" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods rnf :: SegmentType -> () #
Hashable SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods hashWithSalt :: Int -> SegmentType -> Int # hash :: SegmentType -> Int #
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] #
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] #
ToLog SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods build :: SegmentType -> ByteStringBuilder #
ToHeader SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toHeader :: HeaderName -> SegmentType -> [Header] #
ToQuery SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toQuery :: SegmentType -> QueryString #
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 #
ToByteString SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toBS :: SegmentType -> ByteString #
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 #
type Rep SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType type Rep SegmentType = D1 ('MetaData "SegmentType" "Amazonka.Rekognition.Types.SegmentType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'True) (C1 ('MetaCons "SegmentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSegmentType") '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

Instances

Instances details

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 #
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 #
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 #
NFData StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods rnf :: StreamProcessorStatus -> () #
Hashable StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods hashWithSalt :: Int -> StreamProcessorStatus -> Int # hash :: StreamProcessorStatus -> Int #
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] #
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] #
ToLog StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods build :: StreamProcessorStatus -> ByteStringBuilder #
ToHeader StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toHeader :: HeaderName -> StreamProcessorStatus -> [Header] #
ToQuery StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toQuery :: StreamProcessorStatus -> QueryString #
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 #
ToByteString StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toBS :: StreamProcessorStatus -> ByteString #
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 #
type Rep StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus type Rep StreamProcessorStatus = D1 ('MetaData "StreamProcessorStatus" "Amazonka.Rekognition.Types.StreamProcessorStatus" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods rnf :: TechnicalCueType -> () #
Hashable TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods hashWithSalt :: Int -> TechnicalCueType -> Int # hash :: TechnicalCueType -> Int #
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] #
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] #
ToLog TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods build :: TechnicalCueType -> ByteStringBuilder #
ToHeader TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toHeader :: HeaderName -> TechnicalCueType -> [Header] #
ToQuery TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toQuery :: TechnicalCueType -> QueryString #
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 #
ToByteString TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toBS :: TechnicalCueType -> ByteString #
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 #
type Rep TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType type Rep TechnicalCueType = D1 ('MetaData "TechnicalCueType" "Amazonka.Rekognition.Types.TechnicalCueType" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods rnf :: TextTypes -> () #
Hashable TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods hashWithSalt :: Int -> TextTypes -> Int # hash :: TextTypes -> Int #
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] #
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] #
ToLog TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods build :: TextTypes -> ByteStringBuilder #
ToHeader TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toHeader :: HeaderName -> TextTypes -> [Header] #
ToQuery TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toQuery :: TextTypes -> QueryString #
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 #
ToByteString TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toBS :: TextTypes -> ByteString #
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 #
type Rep TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes type Rep TextTypes = D1 ('MetaData "TextTypes" "Amazonka.Rekognition.Types.TextTypes" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods rnf :: VideoColorRange -> () #
Hashable VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods hashWithSalt :: Int -> VideoColorRange -> Int # hash :: VideoColorRange -> Int #
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] #
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] #
ToLog VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods build :: VideoColorRange -> ByteStringBuilder #
ToHeader VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toHeader :: HeaderName -> VideoColorRange -> [Header] #
ToQuery VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toQuery :: VideoColorRange -> QueryString #
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 #
ToByteString VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toBS :: VideoColorRange -> ByteString #
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 #
type Rep VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange type Rep VideoColorRange = D1 ('MetaData "VideoColorRange" "Amazonka.Rekognition.Types.VideoColorRange" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

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 #
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 #
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 #
NFData VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods rnf :: VideoJobStatus -> () #
Hashable VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods hashWithSalt :: Int -> VideoJobStatus -> Int # hash :: VideoJobStatus -> Int #
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] #
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] #
ToLog VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods build :: VideoJobStatus -> ByteStringBuilder #
ToHeader VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toHeader :: HeaderName -> VideoJobStatus -> [Header] #
ToQuery VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toQuery :: VideoJobStatus -> QueryString #
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 #
ToByteString VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toBS :: VideoJobStatus -> ByteString #
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 #
type Rep VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus type Rep VideoJobStatus = D1 ('MetaData "VideoJobStatus" "Amazonka.Rekognition.Types.VideoJobStatus" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods (==) :: AgeRange -> AgeRange -> Bool # (/=) :: AgeRange -> AgeRange -> Bool #
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 #
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 #
NFData AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods rnf :: AgeRange -> () #
Hashable AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods hashWithSalt :: Int -> AgeRange -> Int # hash :: AgeRange -> Int #
FromJSON AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange Methods parseJSON :: Value -> Parser AgeRange # parseJSONList :: Value -> Parser [AgeRange] #
type Rep AgeRange Source #
Instance details Defined in Amazonka.Rekognition.Types.AgeRange type Rep AgeRange = D1 ('MetaData "AgeRange" "Amazonka.Rekognition.Types.AgeRange" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "AgeRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "low") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "high") '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:low:AgeRange', ageRange_low - The lowest estimated age.

$sel:high:AgeRange', ageRange_high - The highest 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

Eq Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods (==) :: Asset -> Asset -> Bool # (/=) :: Asset -> Asset -> Bool #
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 #
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 #
NFData Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods rnf :: Asset -> () #
Hashable Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods hashWithSalt :: Int -> Asset -> Int # hash :: Asset -> Int #
ToJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods toJSON :: Asset -> Value # toEncoding :: Asset -> Encoding # toJSONList :: [Asset] -> Value # toEncodingList :: [Asset] -> Encoding #
FromJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods parseJSON :: Value -> Parser Asset # parseJSONList :: Value -> Parser [Asset] #
type Rep Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset type Rep Asset = D1 ('MetaData "Asset" "Amazonka.Rekognition.Types.Asset" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods (==) :: AudioMetadata -> AudioMetadata -> Bool # (/=) :: AudioMetadata -> AudioMetadata -> Bool #
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 #
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 #
NFData AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods rnf :: AudioMetadata -> () #
Hashable AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods hashWithSalt :: Int -> AudioMetadata -> Int # hash :: AudioMetadata -> Int #
FromJSON AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods parseJSON :: Value -> Parser AudioMetadata # parseJSONList :: Value -> Parser [AudioMetadata] #
type Rep AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata type Rep AudioMetadata = D1 ('MetaData "AudioMetadata" "Amazonka.Rekognition.Types.AudioMetadata" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "AudioMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "sampleRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "numberOfChannels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "durationMillis") '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:sampleRate:AudioMetadata', audioMetadata_sampleRate - The sample rate for the audio stream.

$sel:numberOfChannels:AudioMetadata', audioMetadata_numberOfChannels - The number of audio channels in the segment.

$sel:durationMillis:AudioMetadata', audioMetadata_durationMillis - The duration of the audio stream in milliseconds.

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 Bool) (Maybe Double)

Instances

Instances details

Eq Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods (==) :: Beard -> Beard -> Bool # (/=) :: Beard -> Beard -> Bool #
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 #
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 #
NFData Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods rnf :: Beard -> () #
Hashable Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods hashWithSalt :: Int -> Beard -> Int # hash :: Beard -> Int #
FromJSON Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard Methods parseJSON :: Value -> Parser Beard # parseJSONList :: Value -> Parser [Beard] #
type Rep Beard Source #
Instance details Defined in Amazonka.Rekognition.Types.Beard type Rep Beard = D1 ('MetaData "Beard" "Amazonka.Rekognition.Types.Beard" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Beard'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Beard', beard_value - Boolean value that indicates whether the face has beard or not.

$sel:confidence:Beard', beard_confidence - Level of confidence in the determination.

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

Eq BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods (==) :: BlackFrame -> BlackFrame -> Bool # (/=) :: BlackFrame -> BlackFrame -> Bool #
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 #
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 #
NFData BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods rnf :: BlackFrame -> () #
Hashable BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods hashWithSalt :: Int -> BlackFrame -> Int # hash :: BlackFrame -> Int #
ToJSON BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods toJSON :: BlackFrame -> Value # toEncoding :: BlackFrame -> Encoding # toJSONList :: [BlackFrame] -> Value # toEncodingList :: [BlackFrame] -> Encoding #
type Rep BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame type Rep BlackFrame = D1 ('MetaData "BlackFrame" "Amazonka.Rekognition.Types.BlackFrame" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 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

Eq BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods (==) :: BoundingBox -> BoundingBox -> Bool # (/=) :: BoundingBox -> BoundingBox -> Bool #
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 #
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 #
NFData BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods rnf :: BoundingBox -> () #
Hashable BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods hashWithSalt :: Int -> BoundingBox -> Int # hash :: BoundingBox -> Int #
ToJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods toJSON :: BoundingBox -> Value # toEncoding :: BoundingBox -> Encoding # toJSONList :: [BoundingBox] -> Value # toEncodingList :: [BoundingBox] -> Encoding #
FromJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods parseJSON :: Value -> Parser BoundingBox # parseJSONList :: Value -> Parser [BoundingBox] #
type Rep BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox type Rep BoundingBox = D1 ('MetaData "BoundingBox" "Amazonka.Rekognition.Types.BoundingBox" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 "width") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "top") '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:width:BoundingBox', boundingBox_width - Width of the bounding box as a ratio of the overall image width.

$sel:top:BoundingBox', boundingBox_top - Top coordinate of the bounding box as a ratio of overall image height.

Celebrity

data Celebrity Source #

Provides information about a celebrity recognized by the RecognizeCelebrities operation.

See: newCelebrity smart constructor.

Constructors

Celebrity' (Maybe Double) (Maybe [Text]) (Maybe KnownGender) (Maybe Text) (Maybe Text) (Maybe ComparedFace)

Instances

Instances details

Eq Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods (==) :: Celebrity -> Celebrity -> Bool # (/=) :: Celebrity -> Celebrity -> Bool #
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 #
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 #
NFData Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods rnf :: Celebrity -> () #
Hashable Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods hashWithSalt :: Int -> Celebrity -> Int # hash :: Celebrity -> Int #
FromJSON Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity Methods parseJSON :: Value -> Parser Celebrity # parseJSONList :: Value -> Parser [Celebrity] #
type Rep Celebrity Source #
Instance details Defined in Amazonka.Rekognition.Types.Celebrity type Rep Celebrity = D1 ('MetaData "Celebrity" "Amazonka.Rekognition.Types.Celebrity" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Celebrity'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "matchConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "urls") '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 "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedFace))))))

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:matchConfidence:Celebrity', celebrity_matchConfidence - The confidence, in percentage, that Amazon Rekognition has that the recognized face is 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.

$sel:knownGender:Celebrity', celebrity_knownGender - Undocumented member.

$sel:name:Celebrity', celebrity_name - The name of the celebrity.

$sel:id:Celebrity', celebrity_id - A unique identifier for the celebrity.

$sel:face:Celebrity', celebrity_face - Provides information about the celebrity's face, such as its location on the image.

CelebrityDetail

data CelebrityDetail Source #

Information about a recognized celebrity.

See: newCelebrityDetail smart constructor.

Constructors

CelebrityDetail' (Maybe BoundingBox) (Maybe [Text]) (Maybe Double) (Maybe Text) (Maybe Text) (Maybe FaceDetail)

Instances

Instances details

Eq CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods (==) :: CelebrityDetail -> CelebrityDetail -> Bool # (/=) :: CelebrityDetail -> CelebrityDetail -> Bool #
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 #
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 #
NFData CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods rnf :: CelebrityDetail -> () #
Hashable CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods hashWithSalt :: Int -> CelebrityDetail -> Int # hash :: CelebrityDetail -> Int #
FromJSON CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods parseJSON :: Value -> Parser CelebrityDetail # parseJSONList :: Value -> Parser [CelebrityDetail] #
type Rep CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail type Rep CelebrityDetail = D1 ('MetaData "CelebrityDetail" "Amazonka.Rekognition.Types.CelebrityDetail" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CelebrityDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "urls") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail))))))

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:

$sel:boundingBox:CelebrityDetail', celebrityDetail_boundingBox - Bounding box around the body of a celebrity.

$sel:urls:CelebrityDetail', celebrityDetail_urls - An array of URLs pointing to additional celebrity information.

$sel:confidence:CelebrityDetail', celebrityDetail_confidence - The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.

$sel:name:CelebrityDetail', celebrityDetail_name - The name of the celebrity.

$sel:id:CelebrityDetail', celebrityDetail_id - The unique identifier for the celebrity.

$sel:face:CelebrityDetail', celebrityDetail_face - Face details for the recognized celebrity.

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

Eq CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods (==) :: CelebrityRecognition -> CelebrityRecognition -> Bool # (/=) :: CelebrityRecognition -> CelebrityRecognition -> Bool #
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 #
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 #
NFData CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods rnf :: CelebrityRecognition -> () #
Hashable CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods hashWithSalt :: Int -> CelebrityRecognition -> Int # hash :: CelebrityRecognition -> Int #
FromJSON CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods parseJSON :: Value -> Parser CelebrityRecognition # parseJSONList :: Value -> Parser [CelebrityRecognition] #
type Rep CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition type Rep CelebrityRecognition = D1 ('MetaData "CelebrityRecognition" "Amazonka.Rekognition.Types.CelebrityRecognition" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

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 Double) (Maybe ComparedFace)

Instances

Instances details

Eq CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods (==) :: CompareFacesMatch -> CompareFacesMatch -> Bool # (/=) :: CompareFacesMatch -> CompareFacesMatch -> Bool #
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 #
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 #
NFData CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods rnf :: CompareFacesMatch -> () #
Hashable CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods hashWithSalt :: Int -> CompareFacesMatch -> Int # hash :: CompareFacesMatch -> Int #
FromJSON CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods parseJSON :: Value -> Parser CompareFacesMatch # parseJSONList :: Value -> Parser [CompareFacesMatch] #
type Rep CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch type Rep CompareFacesMatch = D1 ('MetaData "CompareFacesMatch" "Amazonka.Rekognition.Types.CompareFacesMatch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CompareFacesMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedFace))))

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:similarity:CompareFacesMatch', compareFacesMatch_similarity - Level of confidence that the faces match.

$sel:face:CompareFacesMatch', compareFacesMatch_face - Provides face metadata (bounding box and confidence that the bounding box actually contains a face).

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 [Emotion]) (Maybe Pose) (Maybe Double) (Maybe ImageQuality) (Maybe Smile) (Maybe [Landmark])

Instances

Instances details

Eq ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods (==) :: ComparedFace -> ComparedFace -> Bool # (/=) :: ComparedFace -> ComparedFace -> Bool #
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 #
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 #
NFData ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods rnf :: ComparedFace -> () #
Hashable ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods hashWithSalt :: Int -> ComparedFace -> Int # hash :: ComparedFace -> Int #
FromJSON ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods parseJSON :: Value -> Parser ComparedFace # parseJSONList :: Value -> Parser [ComparedFace] #
type Rep ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace type Rep ComparedFace = D1 ('MetaData "ComparedFace" "Amazonka.Rekognition.Types.ComparedFace" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ComparedFace'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion])) :: S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose)))) :: ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality))) :: (S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile)) :: S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark]))))))

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.

$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:pose:ComparedFace', comparedFace_pose - Indicates the pose of the face as determined by its pitch, roll, and yaw.

$sel:confidence:ComparedFace', comparedFace_confidence - Level of confidence that what the bounding box contains is a face.

$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.

$sel:landmarks:ComparedFace', comparedFace_landmarks - An array of facial landmarks.

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

Eq ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods (==) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool # (/=) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool #
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 #
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 #
NFData ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods rnf :: ComparedSourceImageFace -> () #
Hashable ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods hashWithSalt :: Int -> ComparedSourceImageFace -> Int # hash :: ComparedSourceImageFace -> Int #
FromJSON ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods parseJSON :: Value -> Parser ComparedSourceImageFace # parseJSONList :: Value -> Parser [ComparedSourceImageFace] #
type Rep ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace type Rep ComparedSourceImageFace = D1 ('MetaData "ComparedSourceImageFace" "Amazonka.Rekognition.Types.ComparedSourceImageFace" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

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

Eq ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods (==) :: ContentModerationDetection -> ContentModerationDetection -> Bool # (/=) :: ContentModerationDetection -> ContentModerationDetection -> Bool #
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 #
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 #
NFData ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods rnf :: ContentModerationDetection -> () #
Hashable ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods hashWithSalt :: Int -> ContentModerationDetection -> Int # hash :: ContentModerationDetection -> Int #
FromJSON ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods parseJSON :: Value -> Parser ContentModerationDetection # parseJSONList :: Value -> Parser [ContentModerationDetection] #
type Rep ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection type Rep ContentModerationDetection = D1 ('MetaData "ContentModerationDetection" "Amazonka.Rekognition.Types.ContentModerationDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

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 Bool) (Maybe Double)

Instances

Instances details

Eq CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods (==) :: CoversBodyPart -> CoversBodyPart -> Bool # (/=) :: CoversBodyPart -> CoversBodyPart -> Bool #
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 #
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 #
NFData CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods rnf :: CoversBodyPart -> () #
Hashable CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods hashWithSalt :: Int -> CoversBodyPart -> Int # hash :: CoversBodyPart -> Int #
FromJSON CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart Methods parseJSON :: Value -> Parser CoversBodyPart # parseJSONList :: Value -> Parser [CoversBodyPart] #
type Rep CoversBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.CoversBodyPart type Rep CoversBodyPart = D1 ('MetaData "CoversBodyPart" "Amazonka.Rekognition.Types.CoversBodyPart" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CoversBodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:CoversBodyPart', coversBodyPart_value - True if the PPE covers the corresponding body part, otherwise false.

$sel:confidence:CoversBodyPart', coversBodyPart_confidence - The confidence that Amazon Rekognition has in the value of Value.

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 Text) (Maybe Geometry)

Instances

Instances details

Eq CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods (==) :: CustomLabel -> CustomLabel -> Bool # (/=) :: CustomLabel -> CustomLabel -> Bool #
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 #
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 #
NFData CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods rnf :: CustomLabel -> () #
Hashable CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods hashWithSalt :: Int -> CustomLabel -> Int # hash :: CustomLabel -> Int #
FromJSON CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods parseJSON :: Value -> Parser CustomLabel # parseJSONList :: Value -> Parser [CustomLabel] #
type Rep CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel type Rep CustomLabel = D1 ('MetaData "CustomLabel" "Amazonka.Rekognition.Types.CustomLabel" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CustomLabel'" '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 "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)))))

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:name:CustomLabel', customLabel_name - The name of the custom label.

$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.

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

Eq DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods (==) :: DetectTextFilters -> DetectTextFilters -> Bool # (/=) :: DetectTextFilters -> DetectTextFilters -> Bool #
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 #
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 #
NFData DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods rnf :: DetectTextFilters -> () #
Hashable DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods hashWithSalt :: Int -> DetectTextFilters -> Int # hash :: DetectTextFilters -> Int #
ToJSON DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods toJSON :: DetectTextFilters -> Value # toEncoding :: DetectTextFilters -> Encoding # toJSONList :: [DetectTextFilters] -> Value # toEncodingList :: [DetectTextFilters] -> Encoding #
type Rep DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters type Rep DetectTextFilters = D1 ('MetaData "DetectTextFilters" "Amazonka.Rekognition.Types.DetectTextFilters" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods (==) :: DetectionFilter -> DetectionFilter -> Bool # (/=) :: DetectionFilter -> DetectionFilter -> Bool #
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 #
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 #
NFData DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods rnf :: DetectionFilter -> () #
Hashable DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods hashWithSalt :: Int -> DetectionFilter -> Int # hash :: DetectionFilter -> Int #
ToJSON DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods toJSON :: DetectionFilter -> Value # toEncoding :: DetectionFilter -> Encoding # toJSONList :: [DetectionFilter] -> Value # toEncodingList :: [DetectionFilter] -> Encoding #
type Rep DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter type Rep DetectionFilter = D1 ('MetaData "DetectionFilter" "Amazonka.Rekognition.Types.DetectionFilter" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 50 and 100 as Text in Video will not return any result below 50.

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

Eq Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods (==) :: Emotion -> Emotion -> Bool # (/=) :: Emotion -> Emotion -> Bool #
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 #
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 #
NFData Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods rnf :: Emotion -> () #
Hashable Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods hashWithSalt :: Int -> Emotion -> Int # hash :: Emotion -> Int #
FromJSON Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion Methods parseJSON :: Value -> Parser Emotion # parseJSONList :: Value -> Parser [Emotion] #
type Rep Emotion Source #
Instance details Defined in Amazonka.Rekognition.Types.Emotion type Rep Emotion = D1 ('MetaData "Emotion" "Amazonka.Rekognition.Types.Emotion" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 CoversBodyPart) (Maybe Double) (Maybe ProtectiveEquipmentType)

Instances

Instances details

Eq EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods (==) :: EquipmentDetection -> EquipmentDetection -> Bool # (/=) :: EquipmentDetection -> EquipmentDetection -> Bool #
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 #
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 #
NFData EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods rnf :: EquipmentDetection -> () #
Hashable EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods hashWithSalt :: Int -> EquipmentDetection -> Int # hash :: EquipmentDetection -> Int #
FromJSON EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods parseJSON :: Value -> Parser EquipmentDetection # parseJSONList :: Value -> Parser [EquipmentDetection] #
type Rep EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection type Rep EquipmentDetection = D1 ('MetaData "EquipmentDetection" "Amazonka.Rekognition.Types.EquipmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "EquipmentDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: S1 ('MetaSel ('Just "coversBodyPart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CoversBodyPart))) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: 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.

$sel:coversBodyPart:EquipmentDetection', equipmentDetection_coversBodyPart - Information about the body part covered by the detected PPE.

$sel:confidence:EquipmentDetection', equipmentDetection_confidence - The confidence that Amazon Rekognition has that the bounding box (BoundingBox) contains an item of 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 Summary) (Maybe Double)

Instances

Instances details

Eq EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods (==) :: EvaluationResult -> EvaluationResult -> Bool # (/=) :: EvaluationResult -> EvaluationResult -> Bool #
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 #
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 #
NFData EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods rnf :: EvaluationResult -> () #
Hashable EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods hashWithSalt :: Int -> EvaluationResult -> Int # hash :: EvaluationResult -> Int #
FromJSON EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods parseJSON :: Value -> Parser EvaluationResult # parseJSONList :: Value -> Parser [EvaluationResult] #
type Rep EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult type Rep EvaluationResult = D1 ('MetaData "EvaluationResult" "Amazonka.Rekognition.Types.EvaluationResult" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "EvaluationResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "summary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Summary)) :*: S1 ('MetaSel ('Just "f1Score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:summary:EvaluationResult', evaluationResult_summary - The S3 bucket that contains the training summary.

$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.

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 Bool) (Maybe Double)

Instances

Instances details

Eq EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods (==) :: EyeOpen -> EyeOpen -> Bool # (/=) :: EyeOpen -> EyeOpen -> Bool #
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 #
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 #
NFData EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods rnf :: EyeOpen -> () #
Hashable EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods hashWithSalt :: Int -> EyeOpen -> Int # hash :: EyeOpen -> Int #
FromJSON EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen Methods parseJSON :: Value -> Parser EyeOpen # parseJSONList :: Value -> Parser [EyeOpen] #
type Rep EyeOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.EyeOpen type Rep EyeOpen = D1 ('MetaData "EyeOpen" "Amazonka.Rekognition.Types.EyeOpen" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "EyeOpen'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:EyeOpen', eyeOpen_value - Boolean value that indicates whether the eyes on the face are open.

$sel:confidence:EyeOpen', eyeOpen_confidence - Level of confidence in the determination.

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 Bool) (Maybe Double)

Instances

Instances details

Eq Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods (==) :: Eyeglasses -> Eyeglasses -> Bool # (/=) :: Eyeglasses -> Eyeglasses -> Bool #
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 #
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 #
NFData Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods rnf :: Eyeglasses -> () #
Hashable Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods hashWithSalt :: Int -> Eyeglasses -> Int # hash :: Eyeglasses -> Int #
FromJSON Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses Methods parseJSON :: Value -> Parser Eyeglasses # parseJSONList :: Value -> Parser [Eyeglasses] #
type Rep Eyeglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Eyeglasses type Rep Eyeglasses = D1 ('MetaData "Eyeglasses" "Amazonka.Rekognition.Types.Eyeglasses" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Eyeglasses'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Eyeglasses', eyeglasses_value - Boolean value that indicates whether the face is wearing eye glasses or not.

$sel:confidence:Eyeglasses', eyeglasses_confidence - Level of confidence in the determination.

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 Text) (Maybe BoundingBox) (Maybe Text) (Maybe Double) (Maybe Text)

Instances

Instances details

Eq Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods (==) :: Face -> Face -> Bool # (/=) :: Face -> Face -> Bool #
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 #
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 #
NFData Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods rnf :: Face -> () #
Hashable Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods hashWithSalt :: Int -> Face -> Int # hash :: Face -> Int #
FromJSON Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods parseJSON :: Value -> Parser Face # parseJSONList :: Value -> Parser [Face] #
type Rep Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face type Rep Face = D1 ('MetaData "Face" "Amazonka.Rekognition.Types.Face" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Face'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "faceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox))) :: (S1 ('MetaSel ('Just "externalImageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "imageId") '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:faceId:Face', face_faceId - Unique identifier that Amazon Rekognition assigns to the face.

$sel:boundingBox:Face', face_boundingBox - Bounding box of the face.

$sel:externalImageId:Face', face_externalImageId - Identifier that you assign to all the faces in the input image.

$sel:confidence:Face', face_confidence - Confidence level that the bounding box contains a face (and not a different object such as a tree).

$sel:imageId:Face', face_imageId - Unique identifier that Amazon Rekognition assigns to the input image.

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 Sunglasses) (Maybe MouthOpen) (Maybe BoundingBox) (Maybe [Emotion]) (Maybe EyeOpen) (Maybe Pose) (Maybe Double) (Maybe Gender) (Maybe ImageQuality) (Maybe Eyeglasses) (Maybe Beard) (Maybe Mustache) (Maybe Smile) (Maybe [Landmark])

Instances

Instances details

Eq FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods (==) :: FaceDetail -> FaceDetail -> Bool # (/=) :: FaceDetail -> FaceDetail -> Bool #
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 #
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 #
NFData FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods rnf :: FaceDetail -> () #
Hashable FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods hashWithSalt :: Int -> FaceDetail -> Int # hash :: FaceDetail -> Int #
FromJSON FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods parseJSON :: Value -> Parser FaceDetail # parseJSONList :: Value -> Parser [FaceDetail] #
type Rep FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail type Rep FaceDetail = D1 ('MetaData "FaceDetail" "Amazonka.Rekognition.Types.FaceDetail" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "FaceDetail'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "ageRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AgeRange)) :: (S1 ('MetaSel ('Just "sunglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Sunglasses)) :: S1 ('MetaSel ('Just "mouthOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MouthOpen)))) :: ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion]))) :: (S1 ('MetaSel ('Just "eyesOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EyeOpen)) :: S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose))))) :: (((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "gender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Gender))) :: (S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality)) :: S1 ('MetaSel ('Just "eyeglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Eyeglasses)))) :: ((S1 ('MetaSel ('Just "beard") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Beard)) :: S1 ('MetaSel ('Just "mustache") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Mustache))) :: (S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile)) :: S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark])))))))

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:sunglasses:FaceDetail', faceDetail_sunglasses - Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

$sel:mouthOpen:FaceDetail', faceDetail_mouthOpen - Indicates whether or not the mouth on the face is open, and the confidence level in the determination.

$sel:boundingBox:FaceDetail', faceDetail_boundingBox - Bounding box of the face. 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:eyesOpen:FaceDetail', faceDetail_eyesOpen - Indicates whether or not the eyes on the face are open, 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:confidence:FaceDetail', faceDetail_confidence - Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.

$sel:gender:FaceDetail', faceDetail_gender - The predicted gender of a detected face.

$sel:quality:FaceDetail', faceDetail_quality - Identifies image brightness and sharpness. Default attribute.

$sel:eyeglasses:FaceDetail', faceDetail_eyeglasses - Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

$sel:beard:FaceDetail', faceDetail_beard - Indicates whether or not the face has a beard, 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:smile:FaceDetail', faceDetail_smile - Indicates whether or not the face is smiling, and the confidence level in the determination.

$sel:landmarks:FaceDetail', faceDetail_landmarks - Indicates the location of landmarks on the face. Default attribute.

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 Integer) (Maybe FaceDetail)

Instances

Instances details

Eq FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods (==) :: FaceDetection -> FaceDetection -> Bool # (/=) :: FaceDetection -> FaceDetection -> Bool #
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 #
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 #
NFData FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods rnf :: FaceDetection -> () #
Hashable FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods hashWithSalt :: Int -> FaceDetection -> Int # hash :: FaceDetection -> Int #
FromJSON FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods parseJSON :: Value -> Parser FaceDetection # parseJSONList :: Value -> Parser [FaceDetection] #
type Rep FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection type Rep FaceDetection = D1 ('MetaData "FaceDetection" "Amazonka.Rekognition.Types.FaceDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "FaceDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail))))

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:timestamp:FaceDetection', faceDetection_timestamp - Time, in milliseconds from the start of the video, that the face was detected.

$sel:face:FaceDetection', faceDetection_face - The face properties for the detected face.

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 Double) (Maybe Face)

Instances

Instances details

Eq FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods (==) :: FaceMatch -> FaceMatch -> Bool # (/=) :: FaceMatch -> FaceMatch -> Bool #
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 #
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 #
NFData FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods rnf :: FaceMatch -> () #
Hashable FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods hashWithSalt :: Int -> FaceMatch -> Int # hash :: FaceMatch -> Int #
FromJSON FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods parseJSON :: Value -> Parser FaceMatch # parseJSONList :: Value -> Parser [FaceMatch] #
type Rep FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch type Rep FaceMatch = D1 ('MetaData "FaceMatch" "Amazonka.Rekognition.Types.FaceMatch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "FaceMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face))))

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:similarity:FaceMatch', faceMatch_similarity - Confidence in the match of this face with the input face.

$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.

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 FaceDetail) (Maybe Face)

Instances

Instances details

Eq FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods (==) :: FaceRecord -> FaceRecord -> Bool # (/=) :: FaceRecord -> FaceRecord -> Bool #
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 #
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 #
NFData FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods rnf :: FaceRecord -> () #
Hashable FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods hashWithSalt :: Int -> FaceRecord -> Int # hash :: FaceRecord -> Int #
FromJSON FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods parseJSON :: Value -> Parser FaceRecord # parseJSONList :: Value -> Parser [FaceRecord] #
type Rep FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord type Rep FaceRecord = D1 ('MetaData "FaceRecord" "Amazonka.Rekognition.Types.FaceRecord" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "FaceRecord'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :*: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face))))

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:faceDetail:FaceRecord', faceRecord_faceDetail - Structure containing attributes of the face that the algorithm detected.

$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.

FaceSearchSettings

data FaceSearchSettings Source #

Input face recognition parameters for an Amazon Rekognition stream processor. FaceRecognitionSettings is a request parameter for CreateStreamProcessor.

See: newFaceSearchSettings smart constructor.

Constructors

FaceSearchSettings' (Maybe Double) (Maybe Text)

Instances

Instances details

Eq FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods (==) :: FaceSearchSettings -> FaceSearchSettings -> Bool # (/=) :: FaceSearchSettings -> FaceSearchSettings -> Bool #
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 #
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 #
NFData FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods rnf :: FaceSearchSettings -> () #
Hashable FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods hashWithSalt :: Int -> FaceSearchSettings -> Int # hash :: FaceSearchSettings -> Int #
ToJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods toJSON :: FaceSearchSettings -> Value # toEncoding :: FaceSearchSettings -> Encoding # toJSONList :: [FaceSearchSettings] -> Value # toEncodingList :: [FaceSearchSettings] -> Encoding #
FromJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods parseJSON :: Value -> Parser FaceSearchSettings # parseJSONList :: Value -> Parser [FaceSearchSettings] #
type Rep FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings type Rep FaceSearchSettings = D1 ('MetaData "FaceSearchSettings" "Amazonka.Rekognition.Types.FaceSearchSettings" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "FaceSearchSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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:faceMatchThreshold:FaceSearchSettings', faceSearchSettings_faceMatchThreshold - Minimum face match confidence score that must be met to return a result for a recognized face. Default is 80. 0 is the lowest confidence. 100 is the highest confidence.

$sel:collectionId:FaceSearchSettings', faceSearchSettings_collectionId - The ID of a collection that contains faces that you want to search for.

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 GenderType) (Maybe Double)

Instances

Instances details

Eq Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods (==) :: Gender -> Gender -> Bool # (/=) :: Gender -> Gender -> Bool #
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 #
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 #
NFData Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods rnf :: Gender -> () #
Hashable Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods hashWithSalt :: Int -> Gender -> Int # hash :: Gender -> Int #
FromJSON Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods parseJSON :: Value -> Parser Gender # parseJSONList :: Value -> Parser [Gender] #
type Rep Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender type Rep Gender = D1 ('MetaData "Gender" "Amazonka.Rekognition.Types.Gender" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Gender'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GenderType)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Gender', gender_value - The predicted gender of the face.

$sel:confidence:Gender', gender_confidence - Level of confidence in the prediction.

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

Eq Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods (==) :: Geometry -> Geometry -> Bool # (/=) :: Geometry -> Geometry -> Bool #
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 #
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 #
NFData Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods rnf :: Geometry -> () #
Hashable Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods hashWithSalt :: Int -> Geometry -> Int # hash :: Geometry -> Int #
FromJSON Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods parseJSON :: Value -> Parser Geometry # parseJSONList :: Value -> Parser [Geometry] #
type Rep Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry type Rep Geometry = D1 ('MetaData "Geometry" "Amazonka.Rekognition.Types.Geometry" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods (==) :: GroundTruthManifest -> GroundTruthManifest -> Bool # (/=) :: GroundTruthManifest -> GroundTruthManifest -> Bool #
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 #
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 #
NFData GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods rnf :: GroundTruthManifest -> () #
Hashable GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods hashWithSalt :: Int -> GroundTruthManifest -> Int # hash :: GroundTruthManifest -> Int #
ToJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods toJSON :: GroundTruthManifest -> Value # toEncoding :: GroundTruthManifest -> Encoding # toJSONList :: [GroundTruthManifest] -> Value # toEncodingList :: [GroundTruthManifest] -> Encoding #
FromJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods parseJSON :: Value -> Parser GroundTruthManifest # parseJSONList :: Value -> Parser [GroundTruthManifest] #
type Rep GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest type Rep GroundTruthManifest = D1 ('MetaData "GroundTruthManifest" "Amazonka.Rekognition.Types.GroundTruthManifest" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 (NonEmpty Text)) (Maybe Text) (Maybe Text)

Instances

Instances details

Eq HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods (==) :: HumanLoopActivationOutput -> HumanLoopActivationOutput -> Bool # (/=) :: HumanLoopActivationOutput -> HumanLoopActivationOutput -> Bool #
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 #
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 #
NFData HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods rnf :: HumanLoopActivationOutput -> () #
Hashable HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods hashWithSalt :: Int -> HumanLoopActivationOutput -> Int # hash :: HumanLoopActivationOutput -> Int #
FromJSON HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput Methods parseJSON :: Value -> Parser HumanLoopActivationOutput # parseJSONList :: Value -> Parser [HumanLoopActivationOutput] #
type Rep HumanLoopActivationOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopActivationOutput type Rep HumanLoopActivationOutput = D1 ('MetaData "HumanLoopActivationOutput" "Amazonka.Rekognition.Types.HumanLoopActivationOutput" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "HumanLoopActivationOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationReasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "humanLoopArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "humanLoopActivationConditionsEvaluationResults") '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: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.

$sel:humanLoopActivationConditionsEvaluationResults:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopActivationConditionsEvaluationResults - Shows the result of condition evaluations, including those conditions which activated a human review.

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

Eq HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods (==) :: HumanLoopConfig -> HumanLoopConfig -> Bool # (/=) :: HumanLoopConfig -> HumanLoopConfig -> Bool #
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 #
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 #
NFData HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods rnf :: HumanLoopConfig -> () #
Hashable HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods hashWithSalt :: Int -> HumanLoopConfig -> Int # hash :: HumanLoopConfig -> Int #
ToJSON HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods toJSON :: HumanLoopConfig -> Value # toEncoding :: HumanLoopConfig -> Encoding # toJSONList :: [HumanLoopConfig] -> Value # toEncodingList :: [HumanLoopConfig] -> Encoding #
type Rep HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig type Rep HumanLoopConfig = D1 ('MetaData "HumanLoopConfig" "Amazonka.Rekognition.Types.HumanLoopConfig" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods (==) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool # (/=) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool #
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 #
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 #
NFData HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods rnf :: HumanLoopDataAttributes -> () #
Hashable HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods hashWithSalt :: Int -> HumanLoopDataAttributes -> Int # hash :: HumanLoopDataAttributes -> Int #
ToJSON HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods toJSON :: HumanLoopDataAttributes -> Value # toEncoding :: HumanLoopDataAttributes -> Encoding # toJSONList :: [HumanLoopDataAttributes] -> Value # toEncodingList :: [HumanLoopDataAttributes] -> Encoding #
type Rep HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes type Rep HumanLoopDataAttributes = D1 ('MetaData "HumanLoopDataAttributes" "Amazonka.Rekognition.Types.HumanLoopDataAttributes" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Resource Based Policies in the Amazon Rekognition Developer Guide.

See: newImage smart constructor.

Constructors

Image' (Maybe S3Object) (Maybe Base64)

Instances

Instances details

Eq Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods (==) :: Image -> Image -> Bool # (/=) :: Image -> Image -> Bool #
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 #
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 #
NFData Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods rnf :: Image -> () #
Hashable Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods hashWithSalt :: Int -> Image -> Int # hash :: Image -> Int #
ToJSON Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods toJSON :: Image -> Value # toEncoding :: Image -> Encoding # toJSONList :: [Image] -> Value # toEncodingList :: [Image] -> Encoding #
type Rep Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image type Rep Image = D1 ('MetaData "Image" "Amazonka.Rekognition.Types.Image" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Image'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object)) :*: S1 ('MetaSel ('Just "bytes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Base64))))

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:s3Object:Image', image_s3Object - Identifies an S3 object as the image source.

$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.

ImageQuality

data ImageQuality Source #

Identifies face image brightness and sharpness.

See: newImageQuality smart constructor.

Constructors

ImageQuality' (Maybe Double) (Maybe Double)

Instances

Instances details

Eq ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods (==) :: ImageQuality -> ImageQuality -> Bool # (/=) :: ImageQuality -> ImageQuality -> Bool #
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 #
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 #
NFData ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods rnf :: ImageQuality -> () #
Hashable ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods hashWithSalt :: Int -> ImageQuality -> Int # hash :: ImageQuality -> Int #
FromJSON ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality Methods parseJSON :: Value -> Parser ImageQuality # parseJSONList :: Value -> Parser [ImageQuality] #
type Rep ImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.ImageQuality type Rep ImageQuality = D1 ('MetaData "ImageQuality" "Amazonka.Rekognition.Types.ImageQuality" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ImageQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sharpness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "brightness") '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: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.

$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.

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)

Instances

Instances details

Eq Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods (==) :: Instance -> Instance -> Bool # (/=) :: Instance -> Instance -> Bool #
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 #
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 #
NFData Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods rnf :: Instance -> () #
Hashable Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods hashWithSalt :: Int -> Instance -> Int # hash :: Instance -> Int #
FromJSON Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods parseJSON :: Value -> Parser Instance # parseJSONList :: Value -> Parser [Instance] #
type Rep Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance type Rep Instance = D1 ('MetaData "Instance" "Amazonka.Rekognition.Types.Instance" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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))))

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.

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

Eq KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods (==) :: KinesisDataStream -> KinesisDataStream -> Bool # (/=) :: KinesisDataStream -> KinesisDataStream -> Bool #
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 #
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 #
NFData KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods rnf :: KinesisDataStream -> () #
Hashable KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods hashWithSalt :: Int -> KinesisDataStream -> Int # hash :: KinesisDataStream -> Int #
ToJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods toJSON :: KinesisDataStream -> Value # toEncoding :: KinesisDataStream -> Encoding # toJSONList :: [KinesisDataStream] -> Value # toEncodingList :: [KinesisDataStream] -> Encoding #
FromJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods parseJSON :: Value -> Parser KinesisDataStream # parseJSONList :: Value -> Parser [KinesisDataStream] #
type Rep KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream type Rep KinesisDataStream = D1 ('MetaData "KinesisDataStream" "Amazonka.Rekognition.Types.KinesisDataStream" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods (==) :: KinesisVideoStream -> KinesisVideoStream -> Bool # (/=) :: KinesisVideoStream -> KinesisVideoStream -> Bool #
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 #
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 #
NFData KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods rnf :: KinesisVideoStream -> () #
Hashable KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods hashWithSalt :: Int -> KinesisVideoStream -> Int # hash :: KinesisVideoStream -> Int #
ToJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods toJSON :: KinesisVideoStream -> Value # toEncoding :: KinesisVideoStream -> Encoding # toJSONList :: [KinesisVideoStream] -> Value # toEncodingList :: [KinesisVideoStream] -> Encoding #
FromJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods parseJSON :: Value -> Parser KinesisVideoStream # parseJSONList :: Value -> Parser [KinesisVideoStream] #
type Rep KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream type Rep KinesisVideoStream = D1 ('MetaData "KinesisVideoStream" "Amazonka.Rekognition.Types.KinesisVideoStream" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

KnownGender

data KnownGender Source #

The known gender identity for the celebrity that matches the provided ID.

See: newKnownGender smart constructor.

Constructors

KnownGender' (Maybe KnownGenderType)

Instances

Instances details

Eq KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods (==) :: KnownGender -> KnownGender -> Bool # (/=) :: KnownGender -> KnownGender -> Bool #
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 #
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 #
NFData KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods rnf :: KnownGender -> () #
Hashable KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods hashWithSalt :: Int -> KnownGender -> Int # hash :: KnownGender -> Int #
FromJSON KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender Methods parseJSON :: Value -> Parser KnownGender # parseJSONList :: Value -> Parser [KnownGender] #
type Rep KnownGender Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGender type Rep KnownGender = D1 ('MetaData "KnownGender" "Amazonka.Rekognition.Types.KnownGender" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Double) (Maybe [Parent]) (Maybe Text) (Maybe [Instance])

Instances

Instances details

Eq Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods (==) :: Label -> Label -> Bool # (/=) :: Label -> Label -> Bool #
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 #
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 #
NFData Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods rnf :: Label -> () #
Hashable Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods hashWithSalt :: Int -> Label -> Int # hash :: Label -> Int #
FromJSON Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods parseJSON :: Value -> Parser Label # parseJSONList :: Value -> Parser [Label] #
type Rep Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label type Rep Label = D1 ('MetaData "Label" "Amazonka.Rekognition.Types.Label" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Label'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "parents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parent]))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "instances") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Instance])))))

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:confidence:Label', label_confidence - Level of confidence.

$sel:parents:Label', label_parents - The parent labels for a label. The response includes all ancestor labels.

$sel:name:Label', label_name - The name (label) of the object or scene.

$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.

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 Label) (Maybe Integer)

Instances

Instances details

Eq LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods (==) :: LabelDetection -> LabelDetection -> Bool # (/=) :: LabelDetection -> LabelDetection -> Bool #
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 #
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 #
NFData LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods rnf :: LabelDetection -> () #
Hashable LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods hashWithSalt :: Int -> LabelDetection -> Int # hash :: LabelDetection -> Int #
FromJSON LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods parseJSON :: Value -> Parser LabelDetection # parseJSONList :: Value -> Parser [LabelDetection] #
type Rep LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection type Rep LabelDetection = D1 ('MetaData "LabelDetection" "Amazonka.Rekognition.Types.LabelDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "LabelDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "label") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Label)) :*: 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:label:LabelDetection', labelDetection_label - Details about the detected label.

$sel:timestamp:LabelDetection', labelDetection_timestamp - Time, in milliseconds from the start of the video, that the label was detected.

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

Eq Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods (==) :: Landmark -> Landmark -> Bool # (/=) :: Landmark -> Landmark -> Bool #
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 #
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 #
NFData Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods rnf :: Landmark -> () #
Hashable Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods hashWithSalt :: Int -> Landmark -> Int # hash :: Landmark -> Int #
FromJSON Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark Methods parseJSON :: Value -> Parser Landmark # parseJSONList :: Value -> Parser [Landmark] #
type Rep Landmark Source #
Instance details Defined in Amazonka.Rekognition.Types.Landmark type Rep Landmark = D1 ('MetaData "Landmark" "Amazonka.Rekognition.Types.Landmark" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods (==) :: ModerationLabel -> ModerationLabel -> Bool # (/=) :: ModerationLabel -> ModerationLabel -> Bool #
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 #
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 #
NFData ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods rnf :: ModerationLabel -> () #
Hashable ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods hashWithSalt :: Int -> ModerationLabel -> Int # hash :: ModerationLabel -> Int #
FromJSON ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods parseJSON :: Value -> Parser ModerationLabel # parseJSONList :: Value -> Parser [ModerationLabel] #
type Rep ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel type Rep ModerationLabel = D1 ('MetaData "ModerationLabel" "Amazonka.Rekognition.Types.ModerationLabel" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Bool) (Maybe Double)

Instances

Instances details

Eq MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods (==) :: MouthOpen -> MouthOpen -> Bool # (/=) :: MouthOpen -> MouthOpen -> Bool #
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 #
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 #
NFData MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods rnf :: MouthOpen -> () #
Hashable MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods hashWithSalt :: Int -> MouthOpen -> Int # hash :: MouthOpen -> Int #
FromJSON MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen Methods parseJSON :: Value -> Parser MouthOpen # parseJSONList :: Value -> Parser [MouthOpen] #
type Rep MouthOpen Source #
Instance details Defined in Amazonka.Rekognition.Types.MouthOpen type Rep MouthOpen = D1 ('MetaData "MouthOpen" "Amazonka.Rekognition.Types.MouthOpen" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "MouthOpen'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:MouthOpen', mouthOpen_value - Boolean value that indicates whether the mouth on the face is open or not.

$sel:confidence:MouthOpen', mouthOpen_confidence - Level of confidence in the determination.

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 Bool) (Maybe Double)

Instances

Instances details

Eq Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods (==) :: Mustache -> Mustache -> Bool # (/=) :: Mustache -> Mustache -> Bool #
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 #
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 #
NFData Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods rnf :: Mustache -> () #
Hashable Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods hashWithSalt :: Int -> Mustache -> Int # hash :: Mustache -> Int #
FromJSON Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache Methods parseJSON :: Value -> Parser Mustache # parseJSONList :: Value -> Parser [Mustache] #
type Rep Mustache Source #
Instance details Defined in Amazonka.Rekognition.Types.Mustache type Rep Mustache = D1 ('MetaData "Mustache" "Amazonka.Rekognition.Types.Mustache" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Mustache'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Mustache', mustache_value - Boolean value that indicates whether the face has mustache or not.

$sel:confidence:Mustache', mustache_confidence - Level of confidence in the determination.

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 api-video. 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

Eq NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods (==) :: NotificationChannel -> NotificationChannel -> Bool # (/=) :: NotificationChannel -> NotificationChannel -> Bool #
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 #
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 #
NFData NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods rnf :: NotificationChannel -> () #
Hashable NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods hashWithSalt :: Int -> NotificationChannel -> Int # hash :: NotificationChannel -> Int #
ToJSON NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods toJSON :: NotificationChannel -> Value # toEncoding :: NotificationChannel -> Encoding # toJSONList :: [NotificationChannel] -> Value # toEncodingList :: [NotificationChannel] -> Encoding #
type Rep NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel type Rep NotificationChannel = D1 ('MetaData "NotificationChannel" "Amazonka.Rekognition.Types.NotificationChannel" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 to 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

Eq OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods (==) :: OutputConfig -> OutputConfig -> Bool # (/=) :: OutputConfig -> OutputConfig -> Bool #
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 #
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 #
NFData OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods rnf :: OutputConfig -> () #
Hashable OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods hashWithSalt :: Int -> OutputConfig -> Int # hash :: OutputConfig -> Int #
ToJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods toJSON :: OutputConfig -> Value # toEncoding :: OutputConfig -> Encoding # toJSONList :: [OutputConfig] -> Value # toEncodingList :: [OutputConfig] -> Encoding #
FromJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods parseJSON :: Value -> Parser OutputConfig # parseJSONList :: Value -> Parser [OutputConfig] #
type Rep OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.Rekognition.Types.OutputConfig" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3KeyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Bucket") '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:s3KeyPrefix:OutputConfig', outputConfig_s3KeyPrefix - The prefix applied to the training output files.

$sel:s3Bucket:OutputConfig', outputConfig_s3Bucket - The S3 bucket where training output is placed.

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

Eq Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods (==) :: Parent -> Parent -> Bool # (/=) :: Parent -> Parent -> Bool #
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 #
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 #
NFData Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods rnf :: Parent -> () #
Hashable Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods hashWithSalt :: Int -> Parent -> Int # hash :: Parent -> Int #
FromJSON Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent Methods parseJSON :: Value -> Parser Parent # parseJSONList :: Value -> Parser [Parent] #
type Rep Parent Source #
Instance details Defined in Amazonka.Rekognition.Types.Parent type Rep Parent = D1 ('MetaData "Parent" "Amazonka.Rekognition.Types.Parent" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Integer) (Maybe FaceDetail)

Instances

Instances details

Eq PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods (==) :: PersonDetail -> PersonDetail -> Bool # (/=) :: PersonDetail -> PersonDetail -> Bool #
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 #
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 #
NFData PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods rnf :: PersonDetail -> () #
Hashable PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods hashWithSalt :: Int -> PersonDetail -> Int # hash :: PersonDetail -> Int #
FromJSON PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods parseJSON :: Value -> Parser PersonDetail # parseJSONList :: Value -> Parser [PersonDetail] #
type Rep PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail type Rep PersonDetail = D1 ('MetaData "PersonDetail" "Amazonka.Rekognition.Types.PersonDetail" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "PersonDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "index") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)))))

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:

$sel:boundingBox:PersonDetail', personDetail_boundingBox - Bounding box around 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.

$sel:face:PersonDetail', personDetail_face - Face details for the detected person.

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

Eq PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods (==) :: PersonDetection -> PersonDetection -> Bool # (/=) :: PersonDetection -> PersonDetection -> Bool #
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 #
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 #
NFData PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods rnf :: PersonDetection -> () #
Hashable PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods hashWithSalt :: Int -> PersonDetection -> Int # hash :: PersonDetection -> Int #
FromJSON PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods parseJSON :: Value -> Parser PersonDetection # parseJSONList :: Value -> Parser [PersonDetection] #
type Rep PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection type Rep PersonDetection = D1 ('MetaData "PersonDetection" "Amazonka.Rekognition.Types.PersonDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

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

Eq PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods (==) :: PersonMatch -> PersonMatch -> Bool # (/=) :: PersonMatch -> PersonMatch -> Bool #
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 #
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 #
NFData PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods rnf :: PersonMatch -> () #
Hashable PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods hashWithSalt :: Int -> PersonMatch -> Int # hash :: PersonMatch -> Int #
FromJSON PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods parseJSON :: Value -> Parser PersonMatch # parseJSONList :: Value -> Parser [PersonMatch] #
type Rep PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch type Rep PersonMatch = D1 ('MetaData "PersonMatch" "Amazonka.Rekognition.Types.PersonMatch" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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. The X and Y values returned are ratios of the overall image size. For example, if the input image is 700x200 and the operation returns 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, 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

Eq Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods (==) :: Point -> Point -> Bool # (/=) :: Point -> Point -> Bool #
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 #
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 #
NFData Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods rnf :: Point -> () #
Hashable Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods hashWithSalt :: Int -> Point -> Int # hash :: Point -> Int #
FromJSON Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods parseJSON :: Value -> Parser Point # parseJSONList :: Value -> Parser [Point] #
type Rep Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point type Rep Point = D1 ('MetaData "Point" "Amazonka.Rekognition.Types.Point" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods (==) :: Pose -> Pose -> Bool # (/=) :: Pose -> Pose -> Bool #
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 #
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 #
NFData Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods rnf :: Pose -> () #
Hashable Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods hashWithSalt :: Int -> Pose -> Int # hash :: Pose -> Int #
FromJSON Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods parseJSON :: Value -> Parser Pose # parseJSONList :: Value -> Parser [Pose] #
type Rep Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose type Rep Pose = D1 ('MetaData "Pose" "Amazonka.Rekognition.Types.Pose" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Pose'" 'PrefixI 'True) (S1 ('MetaSel ('Just "yaw") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "roll") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "pitch") '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:yaw:Pose', pose_yaw - Value representing the face rotation on the yaw axis.

$sel:roll:Pose', pose_roll - Value representing the face rotation on the roll axis.

$sel:pitch:Pose', pose_pitch - Value representing the face rotation on the pitch axis.

ProjectDescription

data ProjectDescription Source #

A description of a Amazon Rekognition Custom Labels project.

See: newProjectDescription smart constructor.

Constructors

ProjectDescription' (Maybe ProjectStatus) (Maybe POSIX) (Maybe Text)

Instances

Instances details

Eq ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods (==) :: ProjectDescription -> ProjectDescription -> Bool # (/=) :: ProjectDescription -> ProjectDescription -> Bool #
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 #
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 #
NFData ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods rnf :: ProjectDescription -> () #
Hashable ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods hashWithSalt :: Int -> ProjectDescription -> Int # hash :: ProjectDescription -> Int #
FromJSON ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods parseJSON :: Value -> Parser ProjectDescription # parseJSONList :: Value -> Parser [ProjectDescription] #
type Rep ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription type Rep ProjectDescription = D1 ('MetaData "ProjectDescription" "Amazonka.Rekognition.Types.ProjectDescription" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ProjectDescription'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)) :: (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

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:

$sel:status:ProjectDescription', projectDescription_status - The current status of the project.

$sel:creationTimestamp:ProjectDescription', projectDescription_creationTimestamp - The Unix timestamp for the date and time that the project was created.

$sel:projectArn:ProjectDescription', projectDescription_projectArn - The Amazon Resource Name (ARN) of the project.

ProjectVersionDescription

data ProjectVersionDescription Source #

The description of a version of a model.

See: newProjectVersionDescription smart constructor.

Constructors

ProjectVersionDescription' (Maybe Natural) (Maybe ProjectVersionStatus) (Maybe EvaluationResult) (Maybe GroundTruthManifest) (Maybe Text) (Maybe TestingDataResult) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe OutputConfig) (Maybe Natural) (Maybe POSIX) (Maybe TrainingDataResult)

Instances

Instances details

Eq ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods (==) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool # (/=) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool #
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 #
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 #
NFData ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods rnf :: ProjectVersionDescription -> () #
Hashable ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods hashWithSalt :: Int -> ProjectVersionDescription -> Int # hash :: ProjectVersionDescription -> Int #
FromJSON ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods parseJSON :: Value -> Parser ProjectVersionDescription # parseJSONList :: Value -> Parser [ProjectVersionDescription] #
type Rep ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription type Rep ProjectVersionDescription = D1 ('MetaData "ProjectVersionDescription" "Amazonka.Rekognition.Types.ProjectVersionDescription" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ProjectVersionDescription'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)) :: S1 ('MetaSel ('Just "evaluationResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationResult)))) :: (S1 ('MetaSel ('Just "manifestSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest)) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "testingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingDataResult))))) :: ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputConfig)) :: S1 ('MetaSel ('Just "billableTrainingTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "trainingEndTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "trainingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingDataResult)))))))

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:minInferenceUnits:ProjectVersionDescription', projectVersionDescription_minInferenceUnits - The minimum number of inference units used by the model. For more information, see StartProjectVersion.

$sel:status:ProjectVersionDescription', projectVersionDescription_status - The current status of the model version.

$sel:evaluationResult:ProjectVersionDescription', projectVersionDescription_evaluationResult - The training results. EvaluationResult is only returned if training is successful.

$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:kmsKeyId:ProjectVersionDescription', projectVersionDescription_kmsKeyId - The identifer for the AWS Key Management Service (AWS KMS) customer master key that was used to encrypt the model during training.

$sel:testingDataResult:ProjectVersionDescription', projectVersionDescription_testingDataResult - Contains information about the testing results.

$sel:statusMessage:ProjectVersionDescription', projectVersionDescription_statusMessage - A descriptive message for an error or warning that occurred.

$sel:creationTimestamp:ProjectVersionDescription', projectVersionDescription_creationTimestamp - The Unix datetime for the date and time that training started.

$sel:projectVersionArn:ProjectVersionDescription', projectVersionDescription_projectVersionArn - The Amazon Resource Name (ARN) of the model version.

$sel:outputConfig:ProjectVersionDescription', projectVersionDescription_outputConfig - The location where training results are saved.

$sel:billableTrainingTimeInSeconds:ProjectVersionDescription', projectVersionDescription_billableTrainingTimeInSeconds - The duration, in seconds, that the model version has been billed for training. This value is only returned if the model version has been successfully trained.

$sel:trainingEndTimestamp:ProjectVersionDescription', projectVersionDescription_trainingEndTimestamp - The Unix date and time that training of the model ended.

$sel:trainingDataResult:ProjectVersionDescription', projectVersionDescription_trainingDataResult - Contains information about the training results.

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 [EquipmentDetection]) (Maybe Double) (Maybe BodyPart)

Instances

Instances details

Eq ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods (==) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool # (/=) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool #
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 #
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 #
NFData ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods rnf :: ProtectiveEquipmentBodyPart -> () #
Hashable ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods hashWithSalt :: Int -> ProtectiveEquipmentBodyPart -> Int # hash :: ProtectiveEquipmentBodyPart -> Int #
FromJSON ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods parseJSON :: Value -> Parser ProtectiveEquipmentBodyPart # parseJSONList :: Value -> Parser [ProtectiveEquipmentBodyPart] #
type Rep ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart type Rep ProtectiveEquipmentBodyPart = D1 ('MetaData "ProtectiveEquipmentBodyPart" "Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ProtectiveEquipmentBodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "equipmentDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EquipmentDetection])) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: 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:

$sel:equipmentDetections:ProtectiveEquipmentBodyPart', protectiveEquipmentBodyPart_equipmentDetections - An array of Personal Protective Equipment items detected around a body part.

$sel:confidence:ProtectiveEquipmentBodyPart', protectiveEquipmentBodyPart_confidence - The confidence that Amazon Rekognition has in the detection accuracy of the detected 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

Eq ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods (==) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool # (/=) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool #
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 #
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 #
NFData ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods rnf :: ProtectiveEquipmentPerson -> () #
Hashable ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods hashWithSalt :: Int -> ProtectiveEquipmentPerson -> Int # hash :: ProtectiveEquipmentPerson -> Int #
FromJSON ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods parseJSON :: Value -> Parser ProtectiveEquipmentPerson # parseJSONList :: Value -> Parser [ProtectiveEquipmentPerson] #
type Rep ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson type Rep ProtectiveEquipmentPerson = D1 ('MetaData "ProtectiveEquipmentPerson" "Amazonka.Rekognition.Types.ProtectiveEquipmentPerson" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

$sel:confidence: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

Eq ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods (==) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool # (/=) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool #
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 #
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 #
NFData ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods rnf :: ProtectiveEquipmentSummarizationAttributes -> () #
Hashable ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods hashWithSalt :: Int -> ProtectiveEquipmentSummarizationAttributes -> Int # hash :: ProtectiveEquipmentSummarizationAttributes -> Int #
ToJSON ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods toJSON :: ProtectiveEquipmentSummarizationAttributes -> Value # toEncoding :: ProtectiveEquipmentSummarizationAttributes -> Encoding # toJSONList :: [ProtectiveEquipmentSummarizationAttributes] -> Value # toEncodingList :: [ProtectiveEquipmentSummarizationAttributes] -> Encoding #
type Rep ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes type Rep ProtectiveEquipmentSummarizationAttributes = D1 ('MetaData "ProtectiveEquipmentSummarizationAttributes" "Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods (==) :: ProtectiveEquipmentSummary -> ProtectiveEquipmentSummary -> Bool # (/=) :: ProtectiveEquipmentSummary -> ProtectiveEquipmentSummary -> Bool #
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 #
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 #
NFData ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods rnf :: ProtectiveEquipmentSummary -> () #
Hashable ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods hashWithSalt :: Int -> ProtectiveEquipmentSummary -> Int # hash :: ProtectiveEquipmentSummary -> Int #
FromJSON ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary Methods parseJSON :: Value -> Parser ProtectiveEquipmentSummary # parseJSONList :: Value -> Parser [ProtectiveEquipmentSummary] #
type Rep ProtectiveEquipmentSummary Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummary type Rep ProtectiveEquipmentSummary = D1 ('MetaData "ProtectiveEquipmentSummary" "Amazonka.Rekognition.Types.ProtectiveEquipmentSummary" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "ProtectiveEquipmentSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "personsWithRequiredEquipment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Natural])) :: (S1 ('MetaSel ('Just "personsWithoutRequiredEquipment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Natural])) :: S1 ('MetaSel ('Just "personsIndeterminate") '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: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.

$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.

RegionOfInterest

data RegionOfInterest Source #

Specifies a location within the frame that Rekognition checks for text. Uses a BoundingBox object to set a region of the screen.

A word is included in the region if the word is more than half in that region. If there is more than one region, the word will be compared with all regions of the screen. Any word more than half in a region is kept in the results.

See: newRegionOfInterest smart constructor.

Constructors

RegionOfInterest' (Maybe BoundingBox)

Instances

Instances details

Eq RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods (==) :: RegionOfInterest -> RegionOfInterest -> Bool # (/=) :: RegionOfInterest -> RegionOfInterest -> Bool #
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 #
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 #
NFData RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods rnf :: RegionOfInterest -> () #
Hashable RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods hashWithSalt :: Int -> RegionOfInterest -> Int # hash :: RegionOfInterest -> Int #
ToJSON RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods toJSON :: RegionOfInterest -> Value # toEncoding :: RegionOfInterest -> Encoding # toJSONList :: [RegionOfInterest] -> Value # toEncodingList :: [RegionOfInterest] -> Encoding #
type Rep RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest type Rep RegionOfInterest = D1 ('MetaData "RegionOfInterest" "Amazonka.Rekognition.Types.RegionOfInterest" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "RegionOfInterest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox))))

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.

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 Resource-Based Policies in the Amazon Rekognition Developer Guide.

See: newS3Object smart constructor.

Constructors

S3Object' (Maybe Text) (Maybe Text) (Maybe Text)

Instances

Instances details

Eq S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods (==) :: S3Object -> S3Object -> Bool # (/=) :: S3Object -> S3Object -> Bool #
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 #
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 #
NFData S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods rnf :: S3Object -> () #
Hashable S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods hashWithSalt :: Int -> S3Object -> Int # hash :: S3Object -> Int #
ToJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods toJSON :: S3Object -> Value # toEncoding :: S3Object -> Encoding # toJSONList :: [S3Object] -> Value # toEncodingList :: [S3Object] -> Encoding #
FromJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods parseJSON :: Value -> Parser S3Object # parseJSONList :: Value -> Parser [S3Object] #
type Rep S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object type Rep S3Object = D1 ('MetaData "S3Object" "Amazonka.Rekognition.Types.S3Object" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 TechnicalCueSegment) (Maybe Natural) (Maybe Text) (Maybe Integer) (Maybe Text) (Maybe Text) (Maybe Natural) (Maybe Natural) (Maybe Integer) (Maybe SegmentType) (Maybe ShotSegment) (Maybe Natural)

Instances

Instances details

Eq SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods (==) :: SegmentDetection -> SegmentDetection -> Bool # (/=) :: SegmentDetection -> SegmentDetection -> Bool #
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 #
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 #
NFData SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods rnf :: SegmentDetection -> () #
Hashable SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods hashWithSalt :: Int -> SegmentDetection -> Int # hash :: SegmentDetection -> Int #
FromJSON SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods parseJSON :: Value -> Parser SegmentDetection # parseJSONList :: Value -> Parser [SegmentDetection] #
type Rep SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection type Rep SegmentDetection = D1 ('MetaData "SegmentDetection" "Amazonka.Rekognition.Types.SegmentDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "SegmentDetection'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "technicalCueSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TechnicalCueSegment)) :: (S1 ('MetaSel ('Just "endFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "durationSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "endTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "startTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "endTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "durationFrames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "startTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))) :: (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SegmentType)) :: (S1 ('MetaSel ('Just "shotSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ShotSegment)) :*: S1 ('MetaSel ('Just "startFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))))

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:technicalCueSegment:SegmentDetection', segmentDetection_technicalCueSegment - If the segment is a technical cue, contains information about the technical cue.

$sel:endFrameNumber:SegmentDetection', segmentDetection_endFrameNumber - The frame number at the end of a video segment, using a frame index that starts with 0.

$sel:durationSMPTE:SegmentDetection', segmentDetection_durationSMPTE - The duration of the timecode for the detected segment in SMPTE format.

$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: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: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:durationMillis:SegmentDetection', segmentDetection_durationMillis - The duration of the detected segment in milliseconds.

$sel:durationFrames:SegmentDetection', segmentDetection_durationFrames - The duration of a video segment, expressed in frames.

$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:type':SegmentDetection', segmentDetection_type - The type of the segment. Valid values are TECHNICAL_CUE and SHOT.

$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.

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

Eq SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods (==) :: SegmentTypeInfo -> SegmentTypeInfo -> Bool # (/=) :: SegmentTypeInfo -> SegmentTypeInfo -> Bool #
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 #
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 #
NFData SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods rnf :: SegmentTypeInfo -> () #
Hashable SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods hashWithSalt :: Int -> SegmentTypeInfo -> Int # hash :: SegmentTypeInfo -> Int #
FromJSON SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo Methods parseJSON :: Value -> Parser SegmentTypeInfo # parseJSONList :: Value -> Parser [SegmentTypeInfo] #
type Rep SegmentTypeInfo Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentTypeInfo type Rep SegmentTypeInfo = D1 ('MetaData "SegmentTypeInfo" "Amazonka.Rekognition.Types.SegmentTypeInfo" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods (==) :: ShotSegment -> ShotSegment -> Bool # (/=) :: ShotSegment -> ShotSegment -> Bool #
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 #
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 #
NFData ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods rnf :: ShotSegment -> () #
Hashable ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods hashWithSalt :: Int -> ShotSegment -> Int # hash :: ShotSegment -> Int #
FromJSON ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment Methods parseJSON :: Value -> Parser ShotSegment # parseJSONList :: Value -> Parser [ShotSegment] #
type Rep ShotSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.ShotSegment type Rep ShotSegment = D1 ('MetaData "ShotSegment" "Amazonka.Rekognition.Types.ShotSegment" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Bool) (Maybe Double)

Instances

Instances details

Eq Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods (==) :: Smile -> Smile -> Bool # (/=) :: Smile -> Smile -> Bool #
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 #
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 #
NFData Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods rnf :: Smile -> () #
Hashable Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods hashWithSalt :: Int -> Smile -> Int # hash :: Smile -> Int #
FromJSON Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile Methods parseJSON :: Value -> Parser Smile # parseJSONList :: Value -> Parser [Smile] #
type Rep Smile Source #
Instance details Defined in Amazonka.Rekognition.Types.Smile type Rep Smile = D1 ('MetaData "Smile" "Amazonka.Rekognition.Types.Smile" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Smile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Smile', smile_value - Boolean value that indicates whether the face is smiling or not.

$sel:confidence:Smile', smile_confidence - Level of confidence in the determination.

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 StartTechnicalCueDetectionFilter) (Maybe StartShotDetectionFilter)

Instances

Instances details

Eq StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods (==) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool # (/=) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool #
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 #
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 #
NFData StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods rnf :: StartSegmentDetectionFilters -> () #
Hashable StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods hashWithSalt :: Int -> StartSegmentDetectionFilters -> Int # hash :: StartSegmentDetectionFilters -> Int #
ToJSON StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods toJSON :: StartSegmentDetectionFilters -> Value # toEncoding :: StartSegmentDetectionFilters -> Encoding # toJSONList :: [StartSegmentDetectionFilters] -> Value # toEncodingList :: [StartSegmentDetectionFilters] -> Encoding #
type Rep StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters type Rep StartSegmentDetectionFilters = D1 ('MetaData "StartSegmentDetectionFilters" "Amazonka.Rekognition.Types.StartSegmentDetectionFilters" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StartSegmentDetectionFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "technicalCueFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartTechnicalCueDetectionFilter)) :*: S1 ('MetaSel ('Just "shotFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartShotDetectionFilter))))

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:technicalCueFilter:StartSegmentDetectionFilters', startSegmentDetectionFilters_technicalCueFilter - Filters that are specific to technical cues.

$sel:shotFilter:StartSegmentDetectionFilters', startSegmentDetectionFilters_shotFilter - Filters that are specific to shot detections.

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

Eq StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods (==) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool # (/=) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool #
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 #
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 #
NFData StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods rnf :: StartShotDetectionFilter -> () #
Hashable StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods hashWithSalt :: Int -> StartShotDetectionFilter -> Int # hash :: StartShotDetectionFilter -> Int #
ToJSON StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods toJSON :: StartShotDetectionFilter -> Value # toEncoding :: StartShotDetectionFilter -> Encoding # toJSONList :: [StartShotDetectionFilter] -> Value # toEncodingList :: [StartShotDetectionFilter] -> Encoding #
type Rep StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter type Rep StartShotDetectionFilter = D1 ('MetaData "StartShotDetectionFilter" "Amazonka.Rekognition.Types.StartShotDetectionFilter" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods (==) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool # (/=) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool #
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 #
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 #
NFData StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods rnf :: StartTechnicalCueDetectionFilter -> () #
Hashable StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods hashWithSalt :: Int -> StartTechnicalCueDetectionFilter -> Int # hash :: StartTechnicalCueDetectionFilter -> Int #
ToJSON StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods toJSON :: StartTechnicalCueDetectionFilter -> Value # toEncoding :: StartTechnicalCueDetectionFilter -> Encoding # toJSONList :: [StartTechnicalCueDetectionFilter] -> Value # toEncodingList :: [StartTechnicalCueDetectionFilter] -> Encoding #
type Rep StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter type Rep StartTechnicalCueDetectionFilter = D1 ('MetaData "StartTechnicalCueDetectionFilter" "Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods (==) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool # (/=) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool #
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 #
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 #
NFData StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods rnf :: StartTextDetectionFilters -> () #
Hashable StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods hashWithSalt :: Int -> StartTextDetectionFilters -> Int # hash :: StartTextDetectionFilters -> Int #
ToJSON StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods toJSON :: StartTextDetectionFilters -> Value # toEncoding :: StartTextDetectionFilters -> Encoding # toJSONList :: [StartTextDetectionFilters] -> Value # toEncodingList :: [StartTextDetectionFilters] -> Encoding #
type Rep StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters type Rep StartTextDetectionFilters = D1 ('MetaData "StartTextDetectionFilters" "Amazonka.Rekognition.Types.StartTextDetectionFilters" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

StreamProcessor

data StreamProcessor Source #

An object that recognizes faces 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 StreamProcessorStatus) (Maybe Text)

Instances

Instances details

Eq StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods (==) :: StreamProcessor -> StreamProcessor -> Bool # (/=) :: StreamProcessor -> StreamProcessor -> Bool #
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 #
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 #
NFData StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods rnf :: StreamProcessor -> () #
Hashable StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods hashWithSalt :: Int -> StreamProcessor -> Int # hash :: StreamProcessor -> Int #
FromJSON StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor Methods parseJSON :: Value -> Parser StreamProcessor # parseJSONList :: Value -> Parser [StreamProcessor] #
type Rep StreamProcessor Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessor type Rep StreamProcessor = D1 ('MetaData "StreamProcessor" "Amazonka.Rekognition.Types.StreamProcessor" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StreamProcessor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StreamProcessorStatus)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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:status:StreamProcessor', streamProcessor_status - Current status of the Amazon Rekognition stream processor.

$sel:name:StreamProcessor', streamProcessor_name - Name of the Amazon Rekognition stream processor.

StreamProcessorInput

data StreamProcessorInput Source #

Information about the source streaming video.

See: newStreamProcessorInput smart constructor.

Constructors

StreamProcessorInput' (Maybe KinesisVideoStream)

Instances

Instances details

Eq StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods (==) :: StreamProcessorInput -> StreamProcessorInput -> Bool # (/=) :: StreamProcessorInput -> StreamProcessorInput -> Bool #
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 #
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 #
NFData StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods rnf :: StreamProcessorInput -> () #
Hashable StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods hashWithSalt :: Int -> StreamProcessorInput -> Int # hash :: StreamProcessorInput -> Int #
ToJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods toJSON :: StreamProcessorInput -> Value # toEncoding :: StreamProcessorInput -> Encoding # toJSONList :: [StreamProcessorInput] -> Value # toEncodingList :: [StreamProcessorInput] -> Encoding #
FromJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods parseJSON :: Value -> Parser StreamProcessorInput # parseJSONList :: Value -> Parser [StreamProcessorInput] #
type Rep StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput type Rep StreamProcessorInput = D1 ('MetaData "StreamProcessorInput" "Amazonka.Rekognition.Types.StreamProcessorInput" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

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)

Instances

Instances details

Eq StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods (==) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool # (/=) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool #
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 #
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 #
NFData StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods rnf :: StreamProcessorOutput -> () #
Hashable StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods hashWithSalt :: Int -> StreamProcessorOutput -> Int # hash :: StreamProcessorOutput -> Int #
ToJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods toJSON :: StreamProcessorOutput -> Value # toEncoding :: StreamProcessorOutput -> Encoding # toJSONList :: [StreamProcessorOutput] -> Value # toEncodingList :: [StreamProcessorOutput] -> Encoding #
FromJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods parseJSON :: Value -> Parser StreamProcessorOutput # parseJSONList :: Value -> Parser [StreamProcessorOutput] #
type Rep StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput type Rep StreamProcessorOutput = D1 ('MetaData "StreamProcessorOutput" "Amazonka.Rekognition.Types.StreamProcessorOutput" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StreamProcessorOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kinesisDataStream") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisDataStream))))

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.

StreamProcessorSettings

data StreamProcessorSettings Source #

Input parameters used to recognize faces in a streaming video analyzed by a Amazon Rekognition stream processor.

See: newStreamProcessorSettings smart constructor.

Constructors

StreamProcessorSettings' (Maybe FaceSearchSettings)

Instances

Instances details

Eq StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods (==) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool # (/=) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool #
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 #
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 #
NFData StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods rnf :: StreamProcessorSettings -> () #
Hashable StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods hashWithSalt :: Int -> StreamProcessorSettings -> Int # hash :: StreamProcessorSettings -> Int #
ToJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods toJSON :: StreamProcessorSettings -> Value # toEncoding :: StreamProcessorSettings -> Encoding # toJSONList :: [StreamProcessorSettings] -> Value # toEncodingList :: [StreamProcessorSettings] -> Encoding #
FromJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods parseJSON :: Value -> Parser StreamProcessorSettings # parseJSONList :: Value -> Parser [StreamProcessorSettings] #
type Rep StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings type Rep StreamProcessorSettings = D1 ('MetaData "StreamProcessorSettings" "Amazonka.Rekognition.Types.StreamProcessorSettings" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "StreamProcessorSettings'" 'PrefixI 'True) (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:faceSearch:StreamProcessorSettings', streamProcessorSettings_faceSearch - Face search settings to use on a streaming video.

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

Eq Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods (==) :: Summary -> Summary -> Bool # (/=) :: Summary -> Summary -> Bool #
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 #
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 #
NFData Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods rnf :: Summary -> () #
Hashable Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods hashWithSalt :: Int -> Summary -> Int # hash :: Summary -> Int #
FromJSON Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods parseJSON :: Value -> Parser Summary # parseJSONList :: Value -> Parser [Summary] #
type Rep Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary type Rep Summary = D1 ('MetaData "Summary" "Amazonka.Rekognition.Types.Summary" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Bool) (Maybe Double)

Instances

Instances details

Eq Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods (==) :: Sunglasses -> Sunglasses -> Bool # (/=) :: Sunglasses -> Sunglasses -> Bool #
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 #
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 #
NFData Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods rnf :: Sunglasses -> () #
Hashable Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods hashWithSalt :: Int -> Sunglasses -> Int # hash :: Sunglasses -> Int #
FromJSON Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses Methods parseJSON :: Value -> Parser Sunglasses # parseJSONList :: Value -> Parser [Sunglasses] #
type Rep Sunglasses Source #
Instance details Defined in Amazonka.Rekognition.Types.Sunglasses type Rep Sunglasses = D1 ('MetaData "Sunglasses" "Amazonka.Rekognition.Types.Sunglasses" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "Sunglasses'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

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:value:Sunglasses', sunglasses_value - Boolean value that indicates whether the face is wearing sunglasses or not.

$sel:confidence:Sunglasses', sunglasses_confidence - Level of confidence in the determination.

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

Eq TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods (==) :: TechnicalCueSegment -> TechnicalCueSegment -> Bool # (/=) :: TechnicalCueSegment -> TechnicalCueSegment -> Bool #
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 #
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 #
NFData TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods rnf :: TechnicalCueSegment -> () #
Hashable TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods hashWithSalt :: Int -> TechnicalCueSegment -> Int # hash :: TechnicalCueSegment -> Int #
FromJSON TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment Methods parseJSON :: Value -> Parser TechnicalCueSegment # parseJSONList :: Value -> Parser [TechnicalCueSegment] #
type Rep TechnicalCueSegment Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueSegment type Rep TechnicalCueSegment = D1 ('MetaData "TechnicalCueSegment" "Amazonka.Rekognition.Types.TechnicalCueSegment" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 creates a testing dataset using an 80/20 split of the training dataset.

See: newTestingData smart constructor.

Constructors

TestingData' (Maybe [Asset]) (Maybe Bool)

Instances

Instances details

Eq TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods (==) :: TestingData -> TestingData -> Bool # (/=) :: TestingData -> TestingData -> Bool #
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 #
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 #
NFData TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods rnf :: TestingData -> () #
Hashable TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods hashWithSalt :: Int -> TestingData -> Int # hash :: TestingData -> Int #
ToJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods toJSON :: TestingData -> Value # toEncoding :: TestingData -> Encoding # toJSONList :: [TestingData] -> Value # toEncodingList :: [TestingData] -> Encoding #
FromJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods parseJSON :: Value -> Parser TestingData # parseJSONList :: Value -> Parser [TestingData] #
type Rep TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData type Rep TestingData = D1 ('MetaData "TestingData" "Amazonka.Rekognition.Types.TestingData" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 creates a testing dataset with an 80/20 split of the training dataset.

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

Eq TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods (==) :: TestingDataResult -> TestingDataResult -> Bool # (/=) :: TestingDataResult -> TestingDataResult -> Bool #
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 #
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 #
NFData TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods rnf :: TestingDataResult -> () #
Hashable TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods hashWithSalt :: Int -> TestingDataResult -> Int # hash :: TestingDataResult -> Int #
FromJSON TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods parseJSON :: Value -> Parser TestingDataResult # parseJSONList :: Value -> Parser [TestingDataResult] #
type Rep TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult type Rep TestingDataResult = D1 ('MetaData "TestingDataResult" "Amazonka.Rekognition.Types.TestingDataResult" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Text) (Maybe Double) (Maybe Geometry) (Maybe Natural) (Maybe TextTypes) (Maybe Natural)

Instances

Instances details

Eq TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods (==) :: TextDetection -> TextDetection -> Bool # (/=) :: TextDetection -> TextDetection -> Bool #
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 #
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 #
NFData TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods rnf :: TextDetection -> () #
Hashable TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods hashWithSalt :: Int -> TextDetection -> Int # hash :: TextDetection -> Int #
FromJSON TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods parseJSON :: Value -> Parser TextDetection # parseJSONList :: Value -> Parser [TextDetection] #
type Rep TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection type Rep TextDetection = D1 ('MetaData "TextDetection" "Amazonka.Rekognition.Types.TextDetection" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "TextDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "detectedText") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)))) :: (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TextTypes)) :*: S1 ('MetaSel ('Just "parentId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

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:detectedText:TextDetection', textDetection_detectedText - The word or line of text recognized by Amazon Rekognition.

$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: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:type':TextDetection', textDetection_type - The type of text that was detected.

$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.

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

Eq TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods (==) :: TextDetectionResult -> TextDetectionResult -> Bool # (/=) :: TextDetectionResult -> TextDetectionResult -> Bool #
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 #
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 #
NFData TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods rnf :: TextDetectionResult -> () #
Hashable TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods hashWithSalt :: Int -> TextDetectionResult -> Int # hash :: TextDetectionResult -> Int #
FromJSON TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods parseJSON :: Value -> Parser TextDetectionResult # parseJSONList :: Value -> Parser [TextDetectionResult] #
type Rep TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult type Rep TextDetectionResult = D1 ('MetaData "TextDetectionResult" "Amazonka.Rekognition.Types.TextDetectionResult" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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.

TrainingData

data TrainingData Source #

The dataset used for training.

See: newTrainingData smart constructor.

Constructors

TrainingData' (Maybe [Asset])

Instances

Instances details

Eq TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods (==) :: TrainingData -> TrainingData -> Bool # (/=) :: TrainingData -> TrainingData -> Bool #
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 #
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 #
NFData TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods rnf :: TrainingData -> () #
Hashable TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods hashWithSalt :: Int -> TrainingData -> Int # hash :: TrainingData -> Int #
ToJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods toJSON :: TrainingData -> Value # toEncoding :: TrainingData -> Encoding # toJSONList :: [TrainingData] -> Value # toEncodingList :: [TrainingData] -> Encoding #
FromJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods parseJSON :: Value -> Parser TrainingData # parseJSONList :: Value -> Parser [TrainingData] #
type Rep TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData type Rep TrainingData = D1 ('MetaData "TrainingData" "Amazonka.Rekognition.Types.TrainingData" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods (==) :: TrainingDataResult -> TrainingDataResult -> Bool # (/=) :: TrainingDataResult -> TrainingDataResult -> Bool #
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 #
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 #
NFData TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods rnf :: TrainingDataResult -> () #
Hashable TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods hashWithSalt :: Int -> TrainingDataResult -> Int # hash :: TrainingDataResult -> Int #
FromJSON TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods parseJSON :: Value -> Parser TrainingDataResult # parseJSONList :: Value -> Parser [TrainingDataResult] #
type Rep TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult type Rep TrainingDataResult = D1 ('MetaData "TrainingDataResult" "Amazonka.Rekognition.Types.TrainingDataResult" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 [Reason]) (Maybe FaceDetail)

Instances

Instances details

Eq UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods (==) :: UnindexedFace -> UnindexedFace -> Bool # (/=) :: UnindexedFace -> UnindexedFace -> Bool #
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 #
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 #
NFData UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods rnf :: UnindexedFace -> () #
Hashable UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods hashWithSalt :: Int -> UnindexedFace -> Int # hash :: UnindexedFace -> Int #
FromJSON UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods parseJSON :: Value -> Parser UnindexedFace # parseJSONList :: Value -> Parser [UnindexedFace] #
type Rep UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace type Rep UnindexedFace = D1 ('MetaData "UnindexedFace" "Amazonka.Rekognition.Types.UnindexedFace" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "UnindexedFace'" 'PrefixI 'True) (S1 ('MetaSel ('Just "reasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Reason])) :*: S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail))))

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: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.

$sel:faceDetail:UnindexedFace', unindexedFace_faceDetail - The structure that contains attributes of a face that IndexFacesdetected, but didn't index.

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

Eq ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods (==) :: ValidationData -> ValidationData -> Bool # (/=) :: ValidationData -> ValidationData -> Bool #
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 #
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 #
NFData ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods rnf :: ValidationData -> () #
Hashable ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods hashWithSalt :: Int -> ValidationData -> Int # hash :: ValidationData -> Int #
FromJSON ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData Methods parseJSON :: Value -> Parser ValidationData # parseJSONList :: Value -> Parser [ValidationData] #
type Rep ValidationData Source #
Instance details Defined in Amazonka.Rekognition.Types.ValidationData type Rep ValidationData = D1 ('MetaData "ValidationData" "Amazonka.Rekognition.Types.ValidationData" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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

Eq Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods (==) :: Video -> Video -> Bool # (/=) :: Video -> Video -> Bool #
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 #
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 #
NFData Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods rnf :: Video -> () #
Hashable Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods hashWithSalt :: Int -> Video -> Int # hash :: Video -> Int #
ToJSON Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods toJSON :: Video -> Value # toEncoding :: Video -> Encoding # toJSONList :: [Video] -> Value # toEncodingList :: [Video] -> Encoding #
type Rep Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video type Rep Video = D1 ('MetaData "Video" "Amazonka.Rekognition.Types.Video" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" '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 Double) (Maybe VideoColorRange) (Maybe Text) (Maybe Text) (Maybe Natural) (Maybe Natural) (Maybe Natural)

Instances

Instances details

Eq VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods (==) :: VideoMetadata -> VideoMetadata -> Bool # (/=) :: VideoMetadata -> VideoMetadata -> Bool #
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 #
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 #
NFData VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods rnf :: VideoMetadata -> () #
Hashable VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods hashWithSalt :: Int -> VideoMetadata -> Int # hash :: VideoMetadata -> Int #
FromJSON VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods parseJSON :: Value -> Parser VideoMetadata # parseJSONList :: Value -> Parser [VideoMetadata] #
type Rep VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata type Rep VideoMetadata = D1 ('MetaData "VideoMetadata" "Amazonka.Rekognition.Types.VideoMetadata" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "VideoMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "frameRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "colorRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoColorRange)) :: S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "frameHeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: 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:frameRate:VideoMetadata', videoMetadata_frameRate - Number of frames per second in the 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:format:VideoMetadata', videoMetadata_format - Format of the analyzed video. Possible values are MP4, MOV and AVI.

$sel:codec:VideoMetadata', videoMetadata_codec - Type of compression used in the analyzed video.

$sel:frameHeight:VideoMetadata', videoMetadata_frameHeight - Vertical pixel dimension of the video.

$sel:durationMillis:VideoMetadata', videoMetadata_durationMillis - Length of the video in milliseconds.

$sel:frameWidth:VideoMetadata', videoMetadata_frameWidth - Horizontal pixel dimension of the video.