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

Amazonka.Rekognition.Types

Contents

Service Configuration
Errors
Attribute
BodyPart
CelebrityRecognitionSortBy
ContentClassifier
ContentModerationSortBy
DatasetStatus
DatasetStatusMessageCode
DatasetType
DetectLabelsFeatureName
EmotionName
FaceAttributes
FaceSearchSortBy
GenderType
KnownGenderType
LabelDetectionAggregateBy
LabelDetectionFeatureName
LabelDetectionSortBy
LandmarkType
OrientationCorrection
PersonTrackingSortBy
ProjectStatus
ProjectVersionStatus
ProtectiveEquipmentType
QualityFilter
Reason
SegmentType
StreamProcessorParameterToDelete
StreamProcessorStatus
TechnicalCueType
TextTypes
VideoColorRange
VideoJobStatus
AgeRange
Asset
AudioMetadata
Beard
BlackFrame
BoundingBox
Celebrity
CelebrityDetail
CelebrityRecognition
CompareFacesMatch
ComparedFace
ComparedSourceImageFace
ConnectedHomeSettings
ConnectedHomeSettingsForUpdate
ContentModerationDetection
CoversBodyPart
CustomLabel
DatasetChanges
DatasetDescription
DatasetLabelDescription
DatasetLabelStats
DatasetMetadata
DatasetSource
DatasetStats
DetectLabelsImageBackground
DetectLabelsImageForeground
DetectLabelsImageProperties
DetectLabelsImagePropertiesSettings
DetectLabelsImageQuality
DetectLabelsSettings
DetectTextFilters
DetectionFilter
DistributeDataset
DominantColor
Emotion
EquipmentDetection
EvaluationResult
EyeOpen
Eyeglasses
Face
FaceDetail
FaceDetection
FaceMatch
FaceRecord
FaceSearchSettings
Gender
GeneralLabelsSettings
Geometry
GroundTruthManifest
HumanLoopActivationOutput
HumanLoopConfig
HumanLoopDataAttributes
Image
ImageQuality
Instance
KinesisDataStream
KinesisVideoStream
KinesisVideoStreamStartSelector
KnownGender
Label
LabelAlias
LabelCategory
LabelDetection
LabelDetectionSettings
Landmark
ModerationLabel
MouthOpen
Mustache
NotificationChannel
OutputConfig
Parent
PersonDetail
PersonDetection
PersonMatch
Point
Pose
ProjectDescription
ProjectPolicy
ProjectVersionDescription
ProtectiveEquipmentBodyPart
ProtectiveEquipmentPerson
ProtectiveEquipmentSummarizationAttributes
ProtectiveEquipmentSummary
RegionOfInterest
S3Destination
S3Object
SegmentDetection
SegmentTypeInfo
ShotSegment
Smile
StartSegmentDetectionFilters
StartShotDetectionFilter
StartTechnicalCueDetectionFilter
StartTextDetectionFilters
StreamProcessingStartSelector
StreamProcessingStopSelector
StreamProcessor
StreamProcessorDataSharingPreference
StreamProcessorInput
StreamProcessorNotificationChannel
StreamProcessorOutput
StreamProcessorSettings
StreamProcessorSettingsForUpdate
Summary
Sunglasses
TechnicalCueSegment
TestingData
TestingDataResult
TextDetection
TextDetectionResult
TrainingData
TrainingDataResult
UnindexedFace
ValidationData
Video
VideoMetadata

Description

Synopsis

defaultService :: Service
_AccessDeniedException :: AsError a => Fold a ServiceError
_HumanLoopQuotaExceededException :: AsError a => Fold a ServiceError
_IdempotentParameterMismatchException :: AsError a => Fold a ServiceError
_ImageTooLargeException :: AsError a => Fold a ServiceError
_InternalServerError :: AsError a => Fold a ServiceError
_InvalidImageFormatException :: AsError a => Fold a ServiceError
_InvalidPaginationTokenException :: AsError a => Fold a ServiceError
_InvalidParameterException :: AsError a => Fold a ServiceError
_InvalidPolicyRevisionIdException :: AsError a => Fold a ServiceError
_InvalidS3ObjectException :: AsError a => Fold a ServiceError
_LimitExceededException :: AsError a => Fold a ServiceError
_MalformedPolicyDocumentException :: AsError a => Fold a ServiceError
_ProvisionedThroughputExceededException :: AsError a => Fold a ServiceError
_ResourceAlreadyExistsException :: AsError a => Fold a ServiceError
_ResourceInUseException :: AsError a => Fold a ServiceError
_ResourceNotFoundException :: AsError a => Fold a ServiceError
_ResourceNotReadyException :: AsError a => Fold a ServiceError
_ServiceQuotaExceededException :: AsError a => Fold a ServiceError
_ThrottlingException :: AsError a => Fold a ServiceError
_VideoTooLargeException :: AsError a => Fold a ServiceError
newtype Attribute where
- Attribute' {
  - fromAttribute :: Text
  }
- pattern Attribute_ALL :: Attribute
- pattern Attribute_DEFAULT :: Attribute
newtype BodyPart where
- BodyPart' {
  - fromBodyPart :: Text
  }
- pattern BodyPart_FACE :: BodyPart
- pattern BodyPart_HEAD :: BodyPart
- pattern BodyPart_LEFT_HAND :: BodyPart
- pattern BodyPart_RIGHT_HAND :: BodyPart
newtype CelebrityRecognitionSortBy where
- CelebrityRecognitionSortBy' {
  - fromCelebrityRecognitionSortBy :: Text
  }
- pattern CelebrityRecognitionSortBy_ID :: CelebrityRecognitionSortBy
- pattern CelebrityRecognitionSortBy_TIMESTAMP :: CelebrityRecognitionSortBy
newtype ContentClassifier where
- ContentClassifier' {
  - fromContentClassifier :: Text
  }
- pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
- pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier
newtype ContentModerationSortBy where
- ContentModerationSortBy' {
  - fromContentModerationSortBy :: Text
  }
- pattern ContentModerationSortBy_NAME :: ContentModerationSortBy
- pattern ContentModerationSortBy_TIMESTAMP :: ContentModerationSortBy
newtype DatasetStatus where
- DatasetStatus' {
  - fromDatasetStatus :: Text
  }
- pattern DatasetStatus_CREATE_COMPLETE :: DatasetStatus
- pattern DatasetStatus_CREATE_FAILED :: DatasetStatus
- pattern DatasetStatus_CREATE_IN_PROGRESS :: DatasetStatus
- pattern DatasetStatus_DELETE_IN_PROGRESS :: DatasetStatus
- pattern DatasetStatus_UPDATE_COMPLETE :: DatasetStatus
- pattern DatasetStatus_UPDATE_FAILED :: DatasetStatus
- pattern DatasetStatus_UPDATE_IN_PROGRESS :: DatasetStatus
newtype DatasetStatusMessageCode where
- DatasetStatusMessageCode' {
  - fromDatasetStatusMessageCode :: Text
  }
- pattern DatasetStatusMessageCode_CLIENT_ERROR :: DatasetStatusMessageCode
- pattern DatasetStatusMessageCode_SERVICE_ERROR :: DatasetStatusMessageCode
- pattern DatasetStatusMessageCode_SUCCESS :: DatasetStatusMessageCode
newtype DatasetType where
- DatasetType' {
  - fromDatasetType :: Text
  }
- pattern DatasetType_TEST :: DatasetType
- pattern DatasetType_TRAIN :: DatasetType
newtype DetectLabelsFeatureName where
- DetectLabelsFeatureName' {
  - fromDetectLabelsFeatureName :: Text
  }
- pattern DetectLabelsFeatureName_GENERAL_LABELS :: DetectLabelsFeatureName
- pattern DetectLabelsFeatureName_IMAGE_PROPERTIES :: DetectLabelsFeatureName
newtype EmotionName where
- EmotionName' {
  - fromEmotionName :: Text
  }
- pattern EmotionName_ANGRY :: EmotionName
- pattern EmotionName_CALM :: EmotionName
- pattern EmotionName_CONFUSED :: EmotionName
- pattern EmotionName_DISGUSTED :: EmotionName
- pattern EmotionName_FEAR :: EmotionName
- pattern EmotionName_HAPPY :: EmotionName
- pattern EmotionName_SAD :: EmotionName
- pattern EmotionName_SURPRISED :: EmotionName
- pattern EmotionName_UNKNOWN :: EmotionName
newtype FaceAttributes where
- FaceAttributes' {
  - fromFaceAttributes :: Text
  }
- pattern FaceAttributes_ALL :: FaceAttributes
- pattern FaceAttributes_DEFAULT :: FaceAttributes
newtype FaceSearchSortBy where
- FaceSearchSortBy' {
  - fromFaceSearchSortBy :: Text
  }
- pattern FaceSearchSortBy_INDEX :: FaceSearchSortBy
- pattern FaceSearchSortBy_TIMESTAMP :: FaceSearchSortBy
newtype GenderType where
- GenderType' {
  - fromGenderType :: Text
  }
- pattern GenderType_Female :: GenderType
- pattern GenderType_Male :: GenderType
newtype KnownGenderType where
- KnownGenderType' {
  - fromKnownGenderType :: Text
  }
- pattern KnownGenderType_Female :: KnownGenderType
- pattern KnownGenderType_Male :: KnownGenderType
- pattern KnownGenderType_Nonbinary :: KnownGenderType
- pattern KnownGenderType_Unlisted :: KnownGenderType
newtype LabelDetectionAggregateBy where
- LabelDetectionAggregateBy' {
  - fromLabelDetectionAggregateBy :: Text
  }
- pattern LabelDetectionAggregateBy_SEGMENTS :: LabelDetectionAggregateBy
- pattern LabelDetectionAggregateBy_TIMESTAMPS :: LabelDetectionAggregateBy
newtype LabelDetectionFeatureName where
- LabelDetectionFeatureName' {
  - fromLabelDetectionFeatureName :: Text
  }
- pattern LabelDetectionFeatureName_GENERAL_LABELS :: LabelDetectionFeatureName
newtype LabelDetectionSortBy where
- LabelDetectionSortBy' {
  - fromLabelDetectionSortBy :: Text
  }
- pattern LabelDetectionSortBy_NAME :: LabelDetectionSortBy
- pattern LabelDetectionSortBy_TIMESTAMP :: LabelDetectionSortBy
newtype LandmarkType where
- LandmarkType' {
  - fromLandmarkType :: Text
  }
- pattern LandmarkType_ChinBottom :: LandmarkType
- pattern LandmarkType_EyeLeft :: LandmarkType
- pattern LandmarkType_EyeRight :: LandmarkType
- pattern LandmarkType_LeftEyeBrowLeft :: LandmarkType
- pattern LandmarkType_LeftEyeBrowRight :: LandmarkType
- pattern LandmarkType_LeftEyeBrowUp :: LandmarkType
- pattern LandmarkType_LeftEyeDown :: LandmarkType
- pattern LandmarkType_LeftEyeLeft :: LandmarkType
- pattern LandmarkType_LeftEyeRight :: LandmarkType
- pattern LandmarkType_LeftEyeUp :: LandmarkType
- pattern LandmarkType_LeftPupil :: LandmarkType
- pattern LandmarkType_MidJawlineLeft :: LandmarkType
- pattern LandmarkType_MidJawlineRight :: LandmarkType
- pattern LandmarkType_MouthDown :: LandmarkType
- pattern LandmarkType_MouthLeft :: LandmarkType
- pattern LandmarkType_MouthRight :: LandmarkType
- pattern LandmarkType_MouthUp :: LandmarkType
- pattern LandmarkType_Nose :: LandmarkType
- pattern LandmarkType_NoseLeft :: LandmarkType
- pattern LandmarkType_NoseRight :: LandmarkType
- pattern LandmarkType_RightEyeBrowLeft :: LandmarkType
- pattern LandmarkType_RightEyeBrowRight :: LandmarkType
- pattern LandmarkType_RightEyeBrowUp :: LandmarkType
- pattern LandmarkType_RightEyeDown :: LandmarkType
- pattern LandmarkType_RightEyeLeft :: LandmarkType
- pattern LandmarkType_RightEyeRight :: LandmarkType
- pattern LandmarkType_RightEyeUp :: LandmarkType
- pattern LandmarkType_RightPupil :: LandmarkType
- pattern LandmarkType_UpperJawlineLeft :: LandmarkType
- pattern LandmarkType_UpperJawlineRight :: LandmarkType
newtype OrientationCorrection where
- OrientationCorrection' {
  - fromOrientationCorrection :: Text
  }
- pattern OrientationCorrection_ROTATE_0 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_180 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_270 :: OrientationCorrection
- pattern OrientationCorrection_ROTATE_90 :: OrientationCorrection
newtype PersonTrackingSortBy where
- PersonTrackingSortBy' {
  - fromPersonTrackingSortBy :: Text
  }
- pattern PersonTrackingSortBy_INDEX :: PersonTrackingSortBy
- pattern PersonTrackingSortBy_TIMESTAMP :: PersonTrackingSortBy
newtype ProjectStatus where
- ProjectStatus' {
  - fromProjectStatus :: Text
  }
- pattern ProjectStatus_CREATED :: ProjectStatus
- pattern ProjectStatus_CREATING :: ProjectStatus
- pattern ProjectStatus_DELETING :: ProjectStatus
newtype ProjectVersionStatus where
- ProjectVersionStatus' {
  - fromProjectVersionStatus :: Text
  }
- pattern ProjectVersionStatus_COPYING_COMPLETED :: ProjectVersionStatus
- pattern ProjectVersionStatus_COPYING_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_COPYING_IN_PROGRESS :: ProjectVersionStatus
- pattern ProjectVersionStatus_DELETING :: ProjectVersionStatus
- pattern ProjectVersionStatus_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_RUNNING :: ProjectVersionStatus
- pattern ProjectVersionStatus_STARTING :: ProjectVersionStatus
- pattern ProjectVersionStatus_STOPPED :: ProjectVersionStatus
- pattern ProjectVersionStatus_STOPPING :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_COMPLETED :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_FAILED :: ProjectVersionStatus
- pattern ProjectVersionStatus_TRAINING_IN_PROGRESS :: ProjectVersionStatus
newtype ProtectiveEquipmentType where
- ProtectiveEquipmentType' {
  - fromProtectiveEquipmentType :: Text
  }
- pattern ProtectiveEquipmentType_FACE_COVER :: ProtectiveEquipmentType
- pattern ProtectiveEquipmentType_HAND_COVER :: ProtectiveEquipmentType
- pattern ProtectiveEquipmentType_HEAD_COVER :: ProtectiveEquipmentType
newtype QualityFilter where
- QualityFilter' {
  - fromQualityFilter :: Text
  }
- pattern QualityFilter_AUTO :: QualityFilter
- pattern QualityFilter_HIGH :: QualityFilter
- pattern QualityFilter_LOW :: QualityFilter
- pattern QualityFilter_MEDIUM :: QualityFilter
- pattern QualityFilter_NONE :: QualityFilter
newtype Reason where
- Reason' {
  - fromReason :: Text
  }
- pattern Reason_EXCEEDS_MAX_FACES :: Reason
- pattern Reason_EXTREME_POSE :: Reason
- pattern Reason_LOW_BRIGHTNESS :: Reason
- pattern Reason_LOW_CONFIDENCE :: Reason
- pattern Reason_LOW_FACE_QUALITY :: Reason
- pattern Reason_LOW_SHARPNESS :: Reason
- pattern Reason_SMALL_BOUNDING_BOX :: Reason
newtype SegmentType where
- SegmentType' {
  - fromSegmentType :: Text
  }
- pattern SegmentType_SHOT :: SegmentType
- pattern SegmentType_TECHNICAL_CUE :: SegmentType
newtype StreamProcessorParameterToDelete where
- StreamProcessorParameterToDelete' {
  - fromStreamProcessorParameterToDelete :: Text
  }
- pattern StreamProcessorParameterToDelete_ConnectedHomeMinConfidence :: StreamProcessorParameterToDelete
- pattern StreamProcessorParameterToDelete_RegionsOfInterest :: StreamProcessorParameterToDelete
newtype StreamProcessorStatus where
- StreamProcessorStatus' {
  - fromStreamProcessorStatus :: Text
  }
- pattern StreamProcessorStatus_FAILED :: StreamProcessorStatus
- pattern StreamProcessorStatus_RUNNING :: StreamProcessorStatus
- pattern StreamProcessorStatus_STARTING :: StreamProcessorStatus
- pattern StreamProcessorStatus_STOPPED :: StreamProcessorStatus
- pattern StreamProcessorStatus_STOPPING :: StreamProcessorStatus
- pattern StreamProcessorStatus_UPDATING :: StreamProcessorStatus
newtype TechnicalCueType where
- TechnicalCueType' {
  - fromTechnicalCueType :: Text
  }
- pattern TechnicalCueType_BlackFrames :: TechnicalCueType
- pattern TechnicalCueType_ColorBars :: TechnicalCueType
- pattern TechnicalCueType_Content :: TechnicalCueType
- pattern TechnicalCueType_EndCredits :: TechnicalCueType
- pattern TechnicalCueType_OpeningCredits :: TechnicalCueType
- pattern TechnicalCueType_Slate :: TechnicalCueType
- pattern TechnicalCueType_StudioLogo :: TechnicalCueType
newtype TextTypes where
- TextTypes' {
  - fromTextTypes :: Text
  }
- pattern TextTypes_LINE :: TextTypes
- pattern TextTypes_WORD :: TextTypes
newtype VideoColorRange where
- VideoColorRange' {
  - fromVideoColorRange :: Text
  }
- pattern VideoColorRange_FULL :: VideoColorRange
- pattern VideoColorRange_LIMITED :: VideoColorRange
newtype VideoJobStatus where
- VideoJobStatus' {
  - fromVideoJobStatus :: Text
  }
- pattern VideoJobStatus_FAILED :: VideoJobStatus
- pattern VideoJobStatus_IN_PROGRESS :: VideoJobStatus
- pattern VideoJobStatus_SUCCEEDED :: VideoJobStatus
data AgeRange = AgeRange' {
- high :: Maybe Natural
- low :: Maybe Natural
}
newAgeRange :: AgeRange
ageRange_high :: Lens' AgeRange (Maybe Natural)
ageRange_low :: Lens' AgeRange (Maybe Natural)
data Asset = Asset' {
- groundTruthManifest :: Maybe GroundTruthManifest
}
newAsset :: Asset
asset_groundTruthManifest :: Lens' Asset (Maybe GroundTruthManifest)
data AudioMetadata = AudioMetadata' {
- codec :: Maybe Text
- durationMillis :: Maybe Natural
- numberOfChannels :: Maybe Natural
- sampleRate :: Maybe Natural
}
newAudioMetadata :: AudioMetadata
audioMetadata_codec :: Lens' AudioMetadata (Maybe Text)
audioMetadata_durationMillis :: Lens' AudioMetadata (Maybe Natural)
audioMetadata_numberOfChannels :: Lens' AudioMetadata (Maybe Natural)
audioMetadata_sampleRate :: Lens' AudioMetadata (Maybe Natural)
data Beard = Beard' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newBeard :: Beard
beard_confidence :: Lens' Beard (Maybe Double)
beard_value :: Lens' Beard (Maybe Bool)
data BlackFrame = BlackFrame' {
- maxPixelThreshold :: Maybe Double
- minCoveragePercentage :: Maybe Double
}
newBlackFrame :: BlackFrame
blackFrame_maxPixelThreshold :: Lens' BlackFrame (Maybe Double)
blackFrame_minCoveragePercentage :: Lens' BlackFrame (Maybe Double)
data BoundingBox = BoundingBox' {
- height :: Maybe Double
- left :: Maybe Double
- top :: Maybe Double
- width :: Maybe Double
}
newBoundingBox :: BoundingBox
boundingBox_height :: Lens' BoundingBox (Maybe Double)
boundingBox_left :: Lens' BoundingBox (Maybe Double)
boundingBox_top :: Lens' BoundingBox (Maybe Double)
boundingBox_width :: Lens' BoundingBox (Maybe Double)
data Celebrity = Celebrity' {
- face :: Maybe ComparedFace
- id :: Maybe Text
- knownGender :: Maybe KnownGender
- matchConfidence :: Maybe Double
- name :: Maybe Text
- urls :: Maybe [Text]
}
newCelebrity :: Celebrity
celebrity_face :: Lens' Celebrity (Maybe ComparedFace)
celebrity_id :: Lens' Celebrity (Maybe Text)
celebrity_knownGender :: Lens' Celebrity (Maybe KnownGender)
celebrity_matchConfidence :: Lens' Celebrity (Maybe Double)
celebrity_name :: Lens' Celebrity (Maybe Text)
celebrity_urls :: Lens' Celebrity (Maybe [Text])
data CelebrityDetail = CelebrityDetail' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- face :: Maybe FaceDetail
- id :: Maybe Text
- knownGender :: Maybe KnownGender
- name :: Maybe Text
- urls :: Maybe [Text]
}
newCelebrityDetail :: CelebrityDetail
celebrityDetail_boundingBox :: Lens' CelebrityDetail (Maybe BoundingBox)
celebrityDetail_confidence :: Lens' CelebrityDetail (Maybe Double)
celebrityDetail_face :: Lens' CelebrityDetail (Maybe FaceDetail)
celebrityDetail_id :: Lens' CelebrityDetail (Maybe Text)
celebrityDetail_knownGender :: Lens' CelebrityDetail (Maybe KnownGender)
celebrityDetail_name :: Lens' CelebrityDetail (Maybe Text)
celebrityDetail_urls :: Lens' CelebrityDetail (Maybe [Text])
data CelebrityRecognition = CelebrityRecognition' {
- celebrity :: Maybe CelebrityDetail
- timestamp :: Maybe Integer
}
newCelebrityRecognition :: CelebrityRecognition
celebrityRecognition_celebrity :: Lens' CelebrityRecognition (Maybe CelebrityDetail)
celebrityRecognition_timestamp :: Lens' CelebrityRecognition (Maybe Integer)
data CompareFacesMatch = CompareFacesMatch' {
- face :: Maybe ComparedFace
- similarity :: Maybe Double
}
newCompareFacesMatch :: CompareFacesMatch
compareFacesMatch_face :: Lens' CompareFacesMatch (Maybe ComparedFace)
compareFacesMatch_similarity :: Lens' CompareFacesMatch (Maybe Double)
data ComparedFace = ComparedFace' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- emotions :: Maybe [Emotion]
- landmarks :: Maybe [Landmark]
- pose :: Maybe Pose
- quality :: Maybe ImageQuality
- smile :: Maybe Smile
}
newComparedFace :: ComparedFace
comparedFace_boundingBox :: Lens' ComparedFace (Maybe BoundingBox)
comparedFace_confidence :: Lens' ComparedFace (Maybe Double)
comparedFace_emotions :: Lens' ComparedFace (Maybe [Emotion])
comparedFace_landmarks :: Lens' ComparedFace (Maybe [Landmark])
comparedFace_pose :: Lens' ComparedFace (Maybe Pose)
comparedFace_quality :: Lens' ComparedFace (Maybe ImageQuality)
comparedFace_smile :: Lens' ComparedFace (Maybe Smile)
data ComparedSourceImageFace = ComparedSourceImageFace' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
}
newComparedSourceImageFace :: ComparedSourceImageFace
comparedSourceImageFace_boundingBox :: Lens' ComparedSourceImageFace (Maybe BoundingBox)
comparedSourceImageFace_confidence :: Lens' ComparedSourceImageFace (Maybe Double)
data ConnectedHomeSettings = ConnectedHomeSettings' {
- minConfidence :: Maybe Double
- labels :: NonEmpty Text
}
newConnectedHomeSettings :: NonEmpty Text -> ConnectedHomeSettings
connectedHomeSettings_minConfidence :: Lens' ConnectedHomeSettings (Maybe Double)
connectedHomeSettings_labels :: Lens' ConnectedHomeSettings (NonEmpty Text)
data ConnectedHomeSettingsForUpdate = ConnectedHomeSettingsForUpdate' {
- labels :: Maybe (NonEmpty Text)
- minConfidence :: Maybe Double
}
newConnectedHomeSettingsForUpdate :: ConnectedHomeSettingsForUpdate
connectedHomeSettingsForUpdate_labels :: Lens' ConnectedHomeSettingsForUpdate (Maybe (NonEmpty Text))
connectedHomeSettingsForUpdate_minConfidence :: Lens' ConnectedHomeSettingsForUpdate (Maybe Double)
data ContentModerationDetection = ContentModerationDetection' {
- moderationLabel :: Maybe ModerationLabel
- timestamp :: Maybe Integer
}
newContentModerationDetection :: ContentModerationDetection
contentModerationDetection_moderationLabel :: Lens' ContentModerationDetection (Maybe ModerationLabel)
contentModerationDetection_timestamp :: Lens' ContentModerationDetection (Maybe Integer)
data CoversBodyPart = CoversBodyPart' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newCoversBodyPart :: CoversBodyPart
coversBodyPart_confidence :: Lens' CoversBodyPart (Maybe Double)
coversBodyPart_value :: Lens' CoversBodyPart (Maybe Bool)
data CustomLabel = CustomLabel' {
- confidence :: Maybe Double
- geometry :: Maybe Geometry
- name :: Maybe Text
}
newCustomLabel :: CustomLabel
customLabel_confidence :: Lens' CustomLabel (Maybe Double)
customLabel_geometry :: Lens' CustomLabel (Maybe Geometry)
customLabel_name :: Lens' CustomLabel (Maybe Text)
data DatasetChanges = DatasetChanges' {
- groundTruth :: Base64
}
newDatasetChanges :: ByteString -> DatasetChanges
datasetChanges_groundTruth :: Lens' DatasetChanges ByteString
data DatasetDescription = DatasetDescription' {
- creationTimestamp :: Maybe POSIX
- datasetStats :: Maybe DatasetStats
- lastUpdatedTimestamp :: Maybe POSIX
- status :: Maybe DatasetStatus
- statusMessage :: Maybe Text
- statusMessageCode :: Maybe DatasetStatusMessageCode
}
newDatasetDescription :: DatasetDescription
datasetDescription_creationTimestamp :: Lens' DatasetDescription (Maybe UTCTime)
datasetDescription_datasetStats :: Lens' DatasetDescription (Maybe DatasetStats)
datasetDescription_lastUpdatedTimestamp :: Lens' DatasetDescription (Maybe UTCTime)
datasetDescription_status :: Lens' DatasetDescription (Maybe DatasetStatus)
datasetDescription_statusMessage :: Lens' DatasetDescription (Maybe Text)
datasetDescription_statusMessageCode :: Lens' DatasetDescription (Maybe DatasetStatusMessageCode)
data DatasetLabelDescription = DatasetLabelDescription' {
- labelName :: Maybe Text
- labelStats :: Maybe DatasetLabelStats
}
newDatasetLabelDescription :: DatasetLabelDescription
datasetLabelDescription_labelName :: Lens' DatasetLabelDescription (Maybe Text)
datasetLabelDescription_labelStats :: Lens' DatasetLabelDescription (Maybe DatasetLabelStats)
data DatasetLabelStats = DatasetLabelStats' {
- boundingBoxCount :: Maybe Natural
- entryCount :: Maybe Natural
}
newDatasetLabelStats :: DatasetLabelStats
datasetLabelStats_boundingBoxCount :: Lens' DatasetLabelStats (Maybe Natural)
datasetLabelStats_entryCount :: Lens' DatasetLabelStats (Maybe Natural)
data DatasetMetadata = DatasetMetadata' {
- creationTimestamp :: Maybe POSIX
- datasetArn :: Maybe Text
- datasetType :: Maybe DatasetType
- status :: Maybe DatasetStatus
- statusMessage :: Maybe Text
- statusMessageCode :: Maybe DatasetStatusMessageCode
}
newDatasetMetadata :: DatasetMetadata
datasetMetadata_creationTimestamp :: Lens' DatasetMetadata (Maybe UTCTime)
datasetMetadata_datasetArn :: Lens' DatasetMetadata (Maybe Text)
datasetMetadata_datasetType :: Lens' DatasetMetadata (Maybe DatasetType)
datasetMetadata_status :: Lens' DatasetMetadata (Maybe DatasetStatus)
datasetMetadata_statusMessage :: Lens' DatasetMetadata (Maybe Text)
datasetMetadata_statusMessageCode :: Lens' DatasetMetadata (Maybe DatasetStatusMessageCode)
data DatasetSource = DatasetSource' {
- datasetArn :: Maybe Text
- groundTruthManifest :: Maybe GroundTruthManifest
}
newDatasetSource :: DatasetSource
datasetSource_datasetArn :: Lens' DatasetSource (Maybe Text)
datasetSource_groundTruthManifest :: Lens' DatasetSource (Maybe GroundTruthManifest)
data DatasetStats = DatasetStats' {
- errorEntries :: Maybe Natural
- labeledEntries :: Maybe Natural
- totalEntries :: Maybe Natural
- totalLabels :: Maybe Natural
}
newDatasetStats :: DatasetStats
datasetStats_errorEntries :: Lens' DatasetStats (Maybe Natural)
datasetStats_labeledEntries :: Lens' DatasetStats (Maybe Natural)
datasetStats_totalEntries :: Lens' DatasetStats (Maybe Natural)
datasetStats_totalLabels :: Lens' DatasetStats (Maybe Natural)
data DetectLabelsImageBackground = DetectLabelsImageBackground' {
- dominantColors :: Maybe [DominantColor]
- quality :: Maybe DetectLabelsImageQuality
}
newDetectLabelsImageBackground :: DetectLabelsImageBackground
detectLabelsImageBackground_dominantColors :: Lens' DetectLabelsImageBackground (Maybe [DominantColor])
detectLabelsImageBackground_quality :: Lens' DetectLabelsImageBackground (Maybe DetectLabelsImageQuality)
data DetectLabelsImageForeground = DetectLabelsImageForeground' {
- dominantColors :: Maybe [DominantColor]
- quality :: Maybe DetectLabelsImageQuality
}
newDetectLabelsImageForeground :: DetectLabelsImageForeground
detectLabelsImageForeground_dominantColors :: Lens' DetectLabelsImageForeground (Maybe [DominantColor])
detectLabelsImageForeground_quality :: Lens' DetectLabelsImageForeground (Maybe DetectLabelsImageQuality)
data DetectLabelsImageProperties = DetectLabelsImageProperties' {
- background :: Maybe DetectLabelsImageBackground
- dominantColors :: Maybe [DominantColor]
- foreground :: Maybe DetectLabelsImageForeground
- quality :: Maybe DetectLabelsImageQuality
}
newDetectLabelsImageProperties :: DetectLabelsImageProperties
detectLabelsImageProperties_background :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageBackground)
detectLabelsImageProperties_dominantColors :: Lens' DetectLabelsImageProperties (Maybe [DominantColor])
detectLabelsImageProperties_foreground :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageForeground)
detectLabelsImageProperties_quality :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageQuality)
data DetectLabelsImagePropertiesSettings = DetectLabelsImagePropertiesSettings' {
- maxDominantColors :: Maybe Natural
}
newDetectLabelsImagePropertiesSettings :: DetectLabelsImagePropertiesSettings
detectLabelsImagePropertiesSettings_maxDominantColors :: Lens' DetectLabelsImagePropertiesSettings (Maybe Natural)
data DetectLabelsImageQuality = DetectLabelsImageQuality' {
- brightness :: Maybe Double
- contrast :: Maybe Double
- sharpness :: Maybe Double
}
newDetectLabelsImageQuality :: DetectLabelsImageQuality
detectLabelsImageQuality_brightness :: Lens' DetectLabelsImageQuality (Maybe Double)
detectLabelsImageQuality_contrast :: Lens' DetectLabelsImageQuality (Maybe Double)
detectLabelsImageQuality_sharpness :: Lens' DetectLabelsImageQuality (Maybe Double)
data DetectLabelsSettings = DetectLabelsSettings' {
- generalLabels :: Maybe GeneralLabelsSettings
- imageProperties :: Maybe DetectLabelsImagePropertiesSettings
}
newDetectLabelsSettings :: DetectLabelsSettings
detectLabelsSettings_generalLabels :: Lens' DetectLabelsSettings (Maybe GeneralLabelsSettings)
detectLabelsSettings_imageProperties :: Lens' DetectLabelsSettings (Maybe DetectLabelsImagePropertiesSettings)
data DetectTextFilters = DetectTextFilters' {
- regionsOfInterest :: Maybe [RegionOfInterest]
- wordFilter :: Maybe DetectionFilter
}
newDetectTextFilters :: DetectTextFilters
detectTextFilters_regionsOfInterest :: Lens' DetectTextFilters (Maybe [RegionOfInterest])
detectTextFilters_wordFilter :: Lens' DetectTextFilters (Maybe DetectionFilter)
data DetectionFilter = DetectionFilter' {
- minBoundingBoxHeight :: Maybe Double
- minBoundingBoxWidth :: Maybe Double
- minConfidence :: Maybe Double
}
newDetectionFilter :: DetectionFilter
detectionFilter_minBoundingBoxHeight :: Lens' DetectionFilter (Maybe Double)
detectionFilter_minBoundingBoxWidth :: Lens' DetectionFilter (Maybe Double)
detectionFilter_minConfidence :: Lens' DetectionFilter (Maybe Double)
data DistributeDataset = DistributeDataset' {
- arn :: Text
}
newDistributeDataset :: Text -> DistributeDataset
distributeDataset_arn :: Lens' DistributeDataset Text
data DominantColor = DominantColor' {
- blue :: Maybe Natural
- cSSColor :: Maybe Text
- green :: Maybe Natural
- hexCode :: Maybe Text
- pixelPercent :: Maybe Double
- red :: Maybe Natural
- simplifiedColor :: Maybe Text
}
newDominantColor :: DominantColor
dominantColor_blue :: Lens' DominantColor (Maybe Natural)
dominantColor_cSSColor :: Lens' DominantColor (Maybe Text)
dominantColor_green :: Lens' DominantColor (Maybe Natural)
dominantColor_hexCode :: Lens' DominantColor (Maybe Text)
dominantColor_pixelPercent :: Lens' DominantColor (Maybe Double)
dominantColor_red :: Lens' DominantColor (Maybe Natural)
dominantColor_simplifiedColor :: Lens' DominantColor (Maybe Text)
data Emotion = Emotion' {
- confidence :: Maybe Double
- type' :: Maybe EmotionName
}
newEmotion :: Emotion
emotion_confidence :: Lens' Emotion (Maybe Double)
emotion_type :: Lens' Emotion (Maybe EmotionName)
data EquipmentDetection = EquipmentDetection' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- coversBodyPart :: Maybe CoversBodyPart
- type' :: Maybe ProtectiveEquipmentType
}
newEquipmentDetection :: EquipmentDetection
equipmentDetection_boundingBox :: Lens' EquipmentDetection (Maybe BoundingBox)
equipmentDetection_confidence :: Lens' EquipmentDetection (Maybe Double)
equipmentDetection_coversBodyPart :: Lens' EquipmentDetection (Maybe CoversBodyPart)
equipmentDetection_type :: Lens' EquipmentDetection (Maybe ProtectiveEquipmentType)
data EvaluationResult = EvaluationResult' {
- f1Score :: Maybe Double
- summary :: Maybe Summary
}
newEvaluationResult :: EvaluationResult
evaluationResult_f1Score :: Lens' EvaluationResult (Maybe Double)
evaluationResult_summary :: Lens' EvaluationResult (Maybe Summary)
data EyeOpen = EyeOpen' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newEyeOpen :: EyeOpen
eyeOpen_confidence :: Lens' EyeOpen (Maybe Double)
eyeOpen_value :: Lens' EyeOpen (Maybe Bool)
data Eyeglasses = Eyeglasses' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newEyeglasses :: Eyeglasses
eyeglasses_confidence :: Lens' Eyeglasses (Maybe Double)
eyeglasses_value :: Lens' Eyeglasses (Maybe Bool)
data Face = Face' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- externalImageId :: Maybe Text
- faceId :: Maybe Text
- imageId :: Maybe Text
- indexFacesModelVersion :: Maybe Text
}
newFace :: Face
face_boundingBox :: Lens' Face (Maybe BoundingBox)
face_confidence :: Lens' Face (Maybe Double)
face_externalImageId :: Lens' Face (Maybe Text)
face_faceId :: Lens' Face (Maybe Text)
face_imageId :: Lens' Face (Maybe Text)
face_indexFacesModelVersion :: Lens' Face (Maybe Text)
data FaceDetail = FaceDetail' {
- ageRange :: Maybe AgeRange
- beard :: Maybe Beard
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- emotions :: Maybe [Emotion]
- eyeglasses :: Maybe Eyeglasses
- eyesOpen :: Maybe EyeOpen
- gender :: Maybe Gender
- landmarks :: Maybe [Landmark]
- mouthOpen :: Maybe MouthOpen
- mustache :: Maybe Mustache
- pose :: Maybe Pose
- quality :: Maybe ImageQuality
- smile :: Maybe Smile
- sunglasses :: Maybe Sunglasses
}
newFaceDetail :: FaceDetail
faceDetail_ageRange :: Lens' FaceDetail (Maybe AgeRange)
faceDetail_beard :: Lens' FaceDetail (Maybe Beard)
faceDetail_boundingBox :: Lens' FaceDetail (Maybe BoundingBox)
faceDetail_confidence :: Lens' FaceDetail (Maybe Double)
faceDetail_emotions :: Lens' FaceDetail (Maybe [Emotion])
faceDetail_eyeglasses :: Lens' FaceDetail (Maybe Eyeglasses)
faceDetail_eyesOpen :: Lens' FaceDetail (Maybe EyeOpen)
faceDetail_gender :: Lens' FaceDetail (Maybe Gender)
faceDetail_landmarks :: Lens' FaceDetail (Maybe [Landmark])
faceDetail_mouthOpen :: Lens' FaceDetail (Maybe MouthOpen)
faceDetail_mustache :: Lens' FaceDetail (Maybe Mustache)
faceDetail_pose :: Lens' FaceDetail (Maybe Pose)
faceDetail_quality :: Lens' FaceDetail (Maybe ImageQuality)
faceDetail_smile :: Lens' FaceDetail (Maybe Smile)
faceDetail_sunglasses :: Lens' FaceDetail (Maybe Sunglasses)
data FaceDetection = FaceDetection' {
- face :: Maybe FaceDetail
- timestamp :: Maybe Integer
}
newFaceDetection :: FaceDetection
faceDetection_face :: Lens' FaceDetection (Maybe FaceDetail)
faceDetection_timestamp :: Lens' FaceDetection (Maybe Integer)
data FaceMatch = FaceMatch' {
- face :: Maybe Face
- similarity :: Maybe Double
}
newFaceMatch :: FaceMatch
faceMatch_face :: Lens' FaceMatch (Maybe Face)
faceMatch_similarity :: Lens' FaceMatch (Maybe Double)
data FaceRecord = FaceRecord' {
- face :: Maybe Face
- faceDetail :: Maybe FaceDetail
}
newFaceRecord :: FaceRecord
faceRecord_face :: Lens' FaceRecord (Maybe Face)
faceRecord_faceDetail :: Lens' FaceRecord (Maybe FaceDetail)
data FaceSearchSettings = FaceSearchSettings' {
- collectionId :: Maybe Text
- faceMatchThreshold :: Maybe Double
}
newFaceSearchSettings :: FaceSearchSettings
faceSearchSettings_collectionId :: Lens' FaceSearchSettings (Maybe Text)
faceSearchSettings_faceMatchThreshold :: Lens' FaceSearchSettings (Maybe Double)
data Gender = Gender' {
- confidence :: Maybe Double
- value :: Maybe GenderType
}
newGender :: Gender
gender_confidence :: Lens' Gender (Maybe Double)
gender_value :: Lens' Gender (Maybe GenderType)
data GeneralLabelsSettings = GeneralLabelsSettings' {
- labelCategoryExclusionFilters :: Maybe [Text]
- labelCategoryInclusionFilters :: Maybe [Text]
- labelExclusionFilters :: Maybe [Text]
- labelInclusionFilters :: Maybe [Text]
}
newGeneralLabelsSettings :: GeneralLabelsSettings
generalLabelsSettings_labelCategoryExclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text])
generalLabelsSettings_labelCategoryInclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text])
generalLabelsSettings_labelExclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text])
generalLabelsSettings_labelInclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text])
data Geometry = Geometry' {
- boundingBox :: Maybe BoundingBox
- polygon :: Maybe [Point]
}
newGeometry :: Geometry
geometry_boundingBox :: Lens' Geometry (Maybe BoundingBox)
geometry_polygon :: Lens' Geometry (Maybe [Point])
data GroundTruthManifest = GroundTruthManifest' {
- s3Object :: Maybe S3Object
}
newGroundTruthManifest :: GroundTruthManifest
groundTruthManifest_s3Object :: Lens' GroundTruthManifest (Maybe S3Object)
data HumanLoopActivationOutput = HumanLoopActivationOutput' {
- humanLoopActivationConditionsEvaluationResults :: Maybe Text
- humanLoopActivationReasons :: Maybe (NonEmpty Text)
- humanLoopArn :: Maybe Text
}
newHumanLoopActivationOutput :: HumanLoopActivationOutput
humanLoopActivationOutput_humanLoopActivationConditionsEvaluationResults :: Lens' HumanLoopActivationOutput (Maybe Text)
humanLoopActivationOutput_humanLoopActivationReasons :: Lens' HumanLoopActivationOutput (Maybe (NonEmpty Text))
humanLoopActivationOutput_humanLoopArn :: Lens' HumanLoopActivationOutput (Maybe Text)
data HumanLoopConfig = HumanLoopConfig' {
- dataAttributes :: Maybe HumanLoopDataAttributes
- humanLoopName :: Text
- flowDefinitionArn :: Text
}
newHumanLoopConfig :: Text -> Text -> HumanLoopConfig
humanLoopConfig_dataAttributes :: Lens' HumanLoopConfig (Maybe HumanLoopDataAttributes)
humanLoopConfig_humanLoopName :: Lens' HumanLoopConfig Text
humanLoopConfig_flowDefinitionArn :: Lens' HumanLoopConfig Text
data HumanLoopDataAttributes = HumanLoopDataAttributes' {
- contentClassifiers :: Maybe [ContentClassifier]
}
newHumanLoopDataAttributes :: HumanLoopDataAttributes
humanLoopDataAttributes_contentClassifiers :: Lens' HumanLoopDataAttributes (Maybe [ContentClassifier])
data Image = Image' {
- bytes :: Maybe Base64
- s3Object :: Maybe S3Object
}
newImage :: Image
image_bytes :: Lens' Image (Maybe ByteString)
image_s3Object :: Lens' Image (Maybe S3Object)
data ImageQuality = ImageQuality' {
- brightness :: Maybe Double
- sharpness :: Maybe Double
}
newImageQuality :: ImageQuality
imageQuality_brightness :: Lens' ImageQuality (Maybe Double)
imageQuality_sharpness :: Lens' ImageQuality (Maybe Double)
data Instance = Instance' {
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- dominantColors :: Maybe [DominantColor]
}
newInstance :: Instance
instance_boundingBox :: Lens' Instance (Maybe BoundingBox)
instance_confidence :: Lens' Instance (Maybe Double)
instance_dominantColors :: Lens' Instance (Maybe [DominantColor])
data KinesisDataStream = KinesisDataStream' {
- arn :: Maybe Text
}
newKinesisDataStream :: KinesisDataStream
kinesisDataStream_arn :: Lens' KinesisDataStream (Maybe Text)
data KinesisVideoStream = KinesisVideoStream' {
- arn :: Maybe Text
}
newKinesisVideoStream :: KinesisVideoStream
kinesisVideoStream_arn :: Lens' KinesisVideoStream (Maybe Text)
data KinesisVideoStreamStartSelector = KinesisVideoStreamStartSelector' {
- fragmentNumber :: Maybe Text
- producerTimestamp :: Maybe Natural
}
newKinesisVideoStreamStartSelector :: KinesisVideoStreamStartSelector
kinesisVideoStreamStartSelector_fragmentNumber :: Lens' KinesisVideoStreamStartSelector (Maybe Text)
kinesisVideoStreamStartSelector_producerTimestamp :: Lens' KinesisVideoStreamStartSelector (Maybe Natural)
data KnownGender = KnownGender' {
- type' :: Maybe KnownGenderType
}
newKnownGender :: KnownGender
knownGender_type :: Lens' KnownGender (Maybe KnownGenderType)
data Label = Label' {
- aliases :: Maybe [LabelAlias]
- categories :: Maybe [LabelCategory]
- confidence :: Maybe Double
- instances :: Maybe [Instance]
- name :: Maybe Text
- parents :: Maybe [Parent]
}
newLabel :: Label
label_aliases :: Lens' Label (Maybe [LabelAlias])
label_categories :: Lens' Label (Maybe [LabelCategory])
label_confidence :: Lens' Label (Maybe Double)
label_instances :: Lens' Label (Maybe [Instance])
label_name :: Lens' Label (Maybe Text)
label_parents :: Lens' Label (Maybe [Parent])
data LabelAlias = LabelAlias' {
- name :: Maybe Text
}
newLabelAlias :: LabelAlias
labelAlias_name :: Lens' LabelAlias (Maybe Text)
data LabelCategory = LabelCategory' {
- name :: Maybe Text
}
newLabelCategory :: LabelCategory
labelCategory_name :: Lens' LabelCategory (Maybe Text)
data LabelDetection = LabelDetection' {
- durationMillis :: Maybe Natural
- endTimestampMillis :: Maybe Natural
- label :: Maybe Label
- startTimestampMillis :: Maybe Natural
- timestamp :: Maybe Integer
}
newLabelDetection :: LabelDetection
labelDetection_durationMillis :: Lens' LabelDetection (Maybe Natural)
labelDetection_endTimestampMillis :: Lens' LabelDetection (Maybe Natural)
labelDetection_label :: Lens' LabelDetection (Maybe Label)
labelDetection_startTimestampMillis :: Lens' LabelDetection (Maybe Natural)
labelDetection_timestamp :: Lens' LabelDetection (Maybe Integer)
data LabelDetectionSettings = LabelDetectionSettings' {
- generalLabels :: Maybe GeneralLabelsSettings
}
newLabelDetectionSettings :: LabelDetectionSettings
labelDetectionSettings_generalLabels :: Lens' LabelDetectionSettings (Maybe GeneralLabelsSettings)
data Landmark = Landmark' {
- type' :: Maybe LandmarkType
- x :: Maybe Double
- y :: Maybe Double
}
newLandmark :: Landmark
landmark_type :: Lens' Landmark (Maybe LandmarkType)
landmark_x :: Lens' Landmark (Maybe Double)
landmark_y :: Lens' Landmark (Maybe Double)
data ModerationLabel = ModerationLabel' {
- confidence :: Maybe Double
- name :: Maybe Text
- parentName :: Maybe Text
}
newModerationLabel :: ModerationLabel
moderationLabel_confidence :: Lens' ModerationLabel (Maybe Double)
moderationLabel_name :: Lens' ModerationLabel (Maybe Text)
moderationLabel_parentName :: Lens' ModerationLabel (Maybe Text)
data MouthOpen = MouthOpen' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newMouthOpen :: MouthOpen
mouthOpen_confidence :: Lens' MouthOpen (Maybe Double)
mouthOpen_value :: Lens' MouthOpen (Maybe Bool)
data Mustache = Mustache' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newMustache :: Mustache
mustache_confidence :: Lens' Mustache (Maybe Double)
mustache_value :: Lens' Mustache (Maybe Bool)
data NotificationChannel = NotificationChannel' {
- sNSTopicArn :: Text
- roleArn :: Text
}
newNotificationChannel :: Text -> Text -> NotificationChannel
notificationChannel_sNSTopicArn :: Lens' NotificationChannel Text
notificationChannel_roleArn :: Lens' NotificationChannel Text
data OutputConfig = OutputConfig' {
- s3Bucket :: Maybe Text
- s3KeyPrefix :: Maybe Text
}
newOutputConfig :: OutputConfig
outputConfig_s3Bucket :: Lens' OutputConfig (Maybe Text)
outputConfig_s3KeyPrefix :: Lens' OutputConfig (Maybe Text)
data Parent = Parent' {
- name :: Maybe Text
}
newParent :: Parent
parent_name :: Lens' Parent (Maybe Text)
data PersonDetail = PersonDetail' {
- boundingBox :: Maybe BoundingBox
- face :: Maybe FaceDetail
- index :: Maybe Integer
}
newPersonDetail :: PersonDetail
personDetail_boundingBox :: Lens' PersonDetail (Maybe BoundingBox)
personDetail_face :: Lens' PersonDetail (Maybe FaceDetail)
personDetail_index :: Lens' PersonDetail (Maybe Integer)
data PersonDetection = PersonDetection' {
- person :: Maybe PersonDetail
- timestamp :: Maybe Integer
}
newPersonDetection :: PersonDetection
personDetection_person :: Lens' PersonDetection (Maybe PersonDetail)
personDetection_timestamp :: Lens' PersonDetection (Maybe Integer)
data PersonMatch = PersonMatch' {
- faceMatches :: Maybe [FaceMatch]
- person :: Maybe PersonDetail
- timestamp :: Maybe Integer
}
newPersonMatch :: PersonMatch
personMatch_faceMatches :: Lens' PersonMatch (Maybe [FaceMatch])
personMatch_person :: Lens' PersonMatch (Maybe PersonDetail)
personMatch_timestamp :: Lens' PersonMatch (Maybe Integer)
data Point = Point' {
- x :: Maybe Double
- y :: Maybe Double
}
newPoint :: Point
point_x :: Lens' Point (Maybe Double)
point_y :: Lens' Point (Maybe Double)
data Pose = Pose' {
- pitch :: Maybe Double
- roll :: Maybe Double
- yaw :: Maybe Double
}
newPose :: Pose
pose_pitch :: Lens' Pose (Maybe Double)
pose_roll :: Lens' Pose (Maybe Double)
pose_yaw :: Lens' Pose (Maybe Double)
data ProjectDescription = ProjectDescription' {
- creationTimestamp :: Maybe POSIX
- datasets :: Maybe [DatasetMetadata]
- projectArn :: Maybe Text
- status :: Maybe ProjectStatus
}
newProjectDescription :: ProjectDescription
projectDescription_creationTimestamp :: Lens' ProjectDescription (Maybe UTCTime)
projectDescription_datasets :: Lens' ProjectDescription (Maybe [DatasetMetadata])
projectDescription_projectArn :: Lens' ProjectDescription (Maybe Text)
projectDescription_status :: Lens' ProjectDescription (Maybe ProjectStatus)
data ProjectPolicy = ProjectPolicy' {
- creationTimestamp :: Maybe POSIX
- lastUpdatedTimestamp :: Maybe POSIX
- policyDocument :: Maybe Text
- policyName :: Maybe Text
- policyRevisionId :: Maybe Text
- projectArn :: Maybe Text
}
newProjectPolicy :: ProjectPolicy
projectPolicy_creationTimestamp :: Lens' ProjectPolicy (Maybe UTCTime)
projectPolicy_lastUpdatedTimestamp :: Lens' ProjectPolicy (Maybe UTCTime)
projectPolicy_policyDocument :: Lens' ProjectPolicy (Maybe Text)
projectPolicy_policyName :: Lens' ProjectPolicy (Maybe Text)
projectPolicy_policyRevisionId :: Lens' ProjectPolicy (Maybe Text)
projectPolicy_projectArn :: Lens' ProjectPolicy (Maybe Text)
data ProjectVersionDescription = ProjectVersionDescription' {
- billableTrainingTimeInSeconds :: Maybe Natural
- creationTimestamp :: Maybe POSIX
- evaluationResult :: Maybe EvaluationResult
- kmsKeyId :: Maybe Text
- manifestSummary :: Maybe GroundTruthManifest
- maxInferenceUnits :: Maybe Natural
- minInferenceUnits :: Maybe Natural
- outputConfig :: Maybe OutputConfig
- projectVersionArn :: Maybe Text
- sourceProjectVersionArn :: Maybe Text
- status :: Maybe ProjectVersionStatus
- statusMessage :: Maybe Text
- testingDataResult :: Maybe TestingDataResult
- trainingDataResult :: Maybe TrainingDataResult
- trainingEndTimestamp :: Maybe POSIX
}
newProjectVersionDescription :: ProjectVersionDescription
projectVersionDescription_billableTrainingTimeInSeconds :: Lens' ProjectVersionDescription (Maybe Natural)
projectVersionDescription_creationTimestamp :: Lens' ProjectVersionDescription (Maybe UTCTime)
projectVersionDescription_evaluationResult :: Lens' ProjectVersionDescription (Maybe EvaluationResult)
projectVersionDescription_kmsKeyId :: Lens' ProjectVersionDescription (Maybe Text)
projectVersionDescription_manifestSummary :: Lens' ProjectVersionDescription (Maybe GroundTruthManifest)
projectVersionDescription_maxInferenceUnits :: Lens' ProjectVersionDescription (Maybe Natural)
projectVersionDescription_minInferenceUnits :: Lens' ProjectVersionDescription (Maybe Natural)
projectVersionDescription_outputConfig :: Lens' ProjectVersionDescription (Maybe OutputConfig)
projectVersionDescription_projectVersionArn :: Lens' ProjectVersionDescription (Maybe Text)
projectVersionDescription_sourceProjectVersionArn :: Lens' ProjectVersionDescription (Maybe Text)
projectVersionDescription_status :: Lens' ProjectVersionDescription (Maybe ProjectVersionStatus)
projectVersionDescription_statusMessage :: Lens' ProjectVersionDescription (Maybe Text)
projectVersionDescription_testingDataResult :: Lens' ProjectVersionDescription (Maybe TestingDataResult)
projectVersionDescription_trainingDataResult :: Lens' ProjectVersionDescription (Maybe TrainingDataResult)
projectVersionDescription_trainingEndTimestamp :: Lens' ProjectVersionDescription (Maybe UTCTime)
data ProtectiveEquipmentBodyPart = ProtectiveEquipmentBodyPart' {
- confidence :: Maybe Double
- equipmentDetections :: Maybe [EquipmentDetection]
- name :: Maybe BodyPart
}
newProtectiveEquipmentBodyPart :: ProtectiveEquipmentBodyPart
protectiveEquipmentBodyPart_confidence :: Lens' ProtectiveEquipmentBodyPart (Maybe Double)
protectiveEquipmentBodyPart_equipmentDetections :: Lens' ProtectiveEquipmentBodyPart (Maybe [EquipmentDetection])
protectiveEquipmentBodyPart_name :: Lens' ProtectiveEquipmentBodyPart (Maybe BodyPart)
data ProtectiveEquipmentPerson = ProtectiveEquipmentPerson' {
- bodyParts :: Maybe [ProtectiveEquipmentBodyPart]
- boundingBox :: Maybe BoundingBox
- confidence :: Maybe Double
- id :: Maybe Natural
}
newProtectiveEquipmentPerson :: ProtectiveEquipmentPerson
protectiveEquipmentPerson_bodyParts :: Lens' ProtectiveEquipmentPerson (Maybe [ProtectiveEquipmentBodyPart])
protectiveEquipmentPerson_boundingBox :: Lens' ProtectiveEquipmentPerson (Maybe BoundingBox)
protectiveEquipmentPerson_confidence :: Lens' ProtectiveEquipmentPerson (Maybe Double)
protectiveEquipmentPerson_id :: Lens' ProtectiveEquipmentPerson (Maybe Natural)
data ProtectiveEquipmentSummarizationAttributes = ProtectiveEquipmentSummarizationAttributes' {
- minConfidence :: Double
- requiredEquipmentTypes :: [ProtectiveEquipmentType]
}
newProtectiveEquipmentSummarizationAttributes :: Double -> ProtectiveEquipmentSummarizationAttributes
protectiveEquipmentSummarizationAttributes_minConfidence :: Lens' ProtectiveEquipmentSummarizationAttributes Double
protectiveEquipmentSummarizationAttributes_requiredEquipmentTypes :: Lens' ProtectiveEquipmentSummarizationAttributes [ProtectiveEquipmentType]
data ProtectiveEquipmentSummary = ProtectiveEquipmentSummary' {
- personsIndeterminate :: Maybe [Natural]
- personsWithRequiredEquipment :: Maybe [Natural]
- personsWithoutRequiredEquipment :: Maybe [Natural]
}
newProtectiveEquipmentSummary :: ProtectiveEquipmentSummary
protectiveEquipmentSummary_personsIndeterminate :: Lens' ProtectiveEquipmentSummary (Maybe [Natural])
protectiveEquipmentSummary_personsWithRequiredEquipment :: Lens' ProtectiveEquipmentSummary (Maybe [Natural])
protectiveEquipmentSummary_personsWithoutRequiredEquipment :: Lens' ProtectiveEquipmentSummary (Maybe [Natural])
data RegionOfInterest = RegionOfInterest' {
- boundingBox :: Maybe BoundingBox
- polygon :: Maybe [Point]
}
newRegionOfInterest :: RegionOfInterest
regionOfInterest_boundingBox :: Lens' RegionOfInterest (Maybe BoundingBox)
regionOfInterest_polygon :: Lens' RegionOfInterest (Maybe [Point])
data S3Destination = S3Destination' {
- bucket :: Maybe Text
- keyPrefix :: Maybe Text
}
newS3Destination :: S3Destination
s3Destination_bucket :: Lens' S3Destination (Maybe Text)
s3Destination_keyPrefix :: Lens' S3Destination (Maybe Text)
data S3Object = S3Object' {
- bucket :: Maybe Text
- name :: Maybe Text
- version :: Maybe Text
}
newS3Object :: S3Object
s3Object_bucket :: Lens' S3Object (Maybe Text)
s3Object_name :: Lens' S3Object (Maybe Text)
s3Object_version :: Lens' S3Object (Maybe Text)
data SegmentDetection = SegmentDetection' {
- durationFrames :: Maybe Natural
- durationMillis :: Maybe Natural
- durationSMPTE :: Maybe Text
- endFrameNumber :: Maybe Natural
- endTimecodeSMPTE :: Maybe Text
- endTimestampMillis :: Maybe Integer
- shotSegment :: Maybe ShotSegment
- startFrameNumber :: Maybe Natural
- startTimecodeSMPTE :: Maybe Text
- startTimestampMillis :: Maybe Integer
- technicalCueSegment :: Maybe TechnicalCueSegment
- type' :: Maybe SegmentType
}
newSegmentDetection :: SegmentDetection
segmentDetection_durationFrames :: Lens' SegmentDetection (Maybe Natural)
segmentDetection_durationMillis :: Lens' SegmentDetection (Maybe Natural)
segmentDetection_durationSMPTE :: Lens' SegmentDetection (Maybe Text)
segmentDetection_endFrameNumber :: Lens' SegmentDetection (Maybe Natural)
segmentDetection_endTimecodeSMPTE :: Lens' SegmentDetection (Maybe Text)
segmentDetection_endTimestampMillis :: Lens' SegmentDetection (Maybe Integer)
segmentDetection_shotSegment :: Lens' SegmentDetection (Maybe ShotSegment)
segmentDetection_startFrameNumber :: Lens' SegmentDetection (Maybe Natural)
segmentDetection_startTimecodeSMPTE :: Lens' SegmentDetection (Maybe Text)
segmentDetection_startTimestampMillis :: Lens' SegmentDetection (Maybe Integer)
segmentDetection_technicalCueSegment :: Lens' SegmentDetection (Maybe TechnicalCueSegment)
segmentDetection_type :: Lens' SegmentDetection (Maybe SegmentType)
data SegmentTypeInfo = SegmentTypeInfo' {
- modelVersion :: Maybe Text
- type' :: Maybe SegmentType
}
newSegmentTypeInfo :: SegmentTypeInfo
segmentTypeInfo_modelVersion :: Lens' SegmentTypeInfo (Maybe Text)
segmentTypeInfo_type :: Lens' SegmentTypeInfo (Maybe SegmentType)
data ShotSegment = ShotSegment' {
- confidence :: Maybe Double
- index :: Maybe Natural
}
newShotSegment :: ShotSegment
shotSegment_confidence :: Lens' ShotSegment (Maybe Double)
shotSegment_index :: Lens' ShotSegment (Maybe Natural)
data Smile = Smile' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newSmile :: Smile
smile_confidence :: Lens' Smile (Maybe Double)
smile_value :: Lens' Smile (Maybe Bool)
data StartSegmentDetectionFilters = StartSegmentDetectionFilters' {
- shotFilter :: Maybe StartShotDetectionFilter
- technicalCueFilter :: Maybe StartTechnicalCueDetectionFilter
}
newStartSegmentDetectionFilters :: StartSegmentDetectionFilters
startSegmentDetectionFilters_shotFilter :: Lens' StartSegmentDetectionFilters (Maybe StartShotDetectionFilter)
startSegmentDetectionFilters_technicalCueFilter :: Lens' StartSegmentDetectionFilters (Maybe StartTechnicalCueDetectionFilter)
data StartShotDetectionFilter = StartShotDetectionFilter' {
- minSegmentConfidence :: Maybe Double
}
newStartShotDetectionFilter :: StartShotDetectionFilter
startShotDetectionFilter_minSegmentConfidence :: Lens' StartShotDetectionFilter (Maybe Double)
data StartTechnicalCueDetectionFilter = StartTechnicalCueDetectionFilter' {
- blackFrame :: Maybe BlackFrame
- minSegmentConfidence :: Maybe Double
}
newStartTechnicalCueDetectionFilter :: StartTechnicalCueDetectionFilter
startTechnicalCueDetectionFilter_blackFrame :: Lens' StartTechnicalCueDetectionFilter (Maybe BlackFrame)
startTechnicalCueDetectionFilter_minSegmentConfidence :: Lens' StartTechnicalCueDetectionFilter (Maybe Double)
data StartTextDetectionFilters = StartTextDetectionFilters' {
- regionsOfInterest :: Maybe [RegionOfInterest]
- wordFilter :: Maybe DetectionFilter
}
newStartTextDetectionFilters :: StartTextDetectionFilters
startTextDetectionFilters_regionsOfInterest :: Lens' StartTextDetectionFilters (Maybe [RegionOfInterest])
startTextDetectionFilters_wordFilter :: Lens' StartTextDetectionFilters (Maybe DetectionFilter)
data StreamProcessingStartSelector = StreamProcessingStartSelector' {
- kVSStreamStartSelector :: Maybe KinesisVideoStreamStartSelector
}
newStreamProcessingStartSelector :: StreamProcessingStartSelector
streamProcessingStartSelector_kVSStreamStartSelector :: Lens' StreamProcessingStartSelector (Maybe KinesisVideoStreamStartSelector)
data StreamProcessingStopSelector = StreamProcessingStopSelector' {
- maxDurationInSeconds :: Maybe Natural
}
newStreamProcessingStopSelector :: StreamProcessingStopSelector
streamProcessingStopSelector_maxDurationInSeconds :: Lens' StreamProcessingStopSelector (Maybe Natural)
data StreamProcessor = StreamProcessor' {
- name :: Maybe Text
- status :: Maybe StreamProcessorStatus
}
newStreamProcessor :: StreamProcessor
streamProcessor_name :: Lens' StreamProcessor (Maybe Text)
streamProcessor_status :: Lens' StreamProcessor (Maybe StreamProcessorStatus)
data StreamProcessorDataSharingPreference = StreamProcessorDataSharingPreference' {
- optIn :: Bool
}
newStreamProcessorDataSharingPreference :: Bool -> StreamProcessorDataSharingPreference
streamProcessorDataSharingPreference_optIn :: Lens' StreamProcessorDataSharingPreference Bool
data StreamProcessorInput = StreamProcessorInput' {
- kinesisVideoStream :: Maybe KinesisVideoStream
}
newStreamProcessorInput :: StreamProcessorInput
streamProcessorInput_kinesisVideoStream :: Lens' StreamProcessorInput (Maybe KinesisVideoStream)
data StreamProcessorNotificationChannel = StreamProcessorNotificationChannel' {
- sNSTopicArn :: Text
}
newStreamProcessorNotificationChannel :: Text -> StreamProcessorNotificationChannel
streamProcessorNotificationChannel_sNSTopicArn :: Lens' StreamProcessorNotificationChannel Text
data StreamProcessorOutput = StreamProcessorOutput' {
- kinesisDataStream :: Maybe KinesisDataStream
- s3Destination :: Maybe S3Destination
}
newStreamProcessorOutput :: StreamProcessorOutput
streamProcessorOutput_kinesisDataStream :: Lens' StreamProcessorOutput (Maybe KinesisDataStream)
streamProcessorOutput_s3Destination :: Lens' StreamProcessorOutput (Maybe S3Destination)
data StreamProcessorSettings = StreamProcessorSettings' {
- connectedHome :: Maybe ConnectedHomeSettings
- faceSearch :: Maybe FaceSearchSettings
}
newStreamProcessorSettings :: StreamProcessorSettings
streamProcessorSettings_connectedHome :: Lens' StreamProcessorSettings (Maybe ConnectedHomeSettings)
streamProcessorSettings_faceSearch :: Lens' StreamProcessorSettings (Maybe FaceSearchSettings)
data StreamProcessorSettingsForUpdate = StreamProcessorSettingsForUpdate' {
- connectedHomeForUpdate :: Maybe ConnectedHomeSettingsForUpdate
}
newStreamProcessorSettingsForUpdate :: StreamProcessorSettingsForUpdate
streamProcessorSettingsForUpdate_connectedHomeForUpdate :: Lens' StreamProcessorSettingsForUpdate (Maybe ConnectedHomeSettingsForUpdate)
data Summary = Summary' {
- s3Object :: Maybe S3Object
}
newSummary :: Summary
summary_s3Object :: Lens' Summary (Maybe S3Object)
data Sunglasses = Sunglasses' {
- confidence :: Maybe Double
- value :: Maybe Bool
}
newSunglasses :: Sunglasses
sunglasses_confidence :: Lens' Sunglasses (Maybe Double)
sunglasses_value :: Lens' Sunglasses (Maybe Bool)
data TechnicalCueSegment = TechnicalCueSegment' {
- confidence :: Maybe Double
- type' :: Maybe TechnicalCueType
}
newTechnicalCueSegment :: TechnicalCueSegment
technicalCueSegment_confidence :: Lens' TechnicalCueSegment (Maybe Double)
technicalCueSegment_type :: Lens' TechnicalCueSegment (Maybe TechnicalCueType)
data TestingData = TestingData' {
- assets :: Maybe [Asset]
- autoCreate :: Maybe Bool
}
newTestingData :: TestingData
testingData_assets :: Lens' TestingData (Maybe [Asset])
testingData_autoCreate :: Lens' TestingData (Maybe Bool)
data TestingDataResult = TestingDataResult' {
- input :: Maybe TestingData
- output :: Maybe TestingData
- validation :: Maybe ValidationData
}
newTestingDataResult :: TestingDataResult
testingDataResult_input :: Lens' TestingDataResult (Maybe TestingData)
testingDataResult_output :: Lens' TestingDataResult (Maybe TestingData)
testingDataResult_validation :: Lens' TestingDataResult (Maybe ValidationData)
data TextDetection = TextDetection' {
- confidence :: Maybe Double
- detectedText :: Maybe Text
- geometry :: Maybe Geometry
- id :: Maybe Natural
- parentId :: Maybe Natural
- type' :: Maybe TextTypes
}
newTextDetection :: TextDetection
textDetection_confidence :: Lens' TextDetection (Maybe Double)
textDetection_detectedText :: Lens' TextDetection (Maybe Text)
textDetection_geometry :: Lens' TextDetection (Maybe Geometry)
textDetection_id :: Lens' TextDetection (Maybe Natural)
textDetection_parentId :: Lens' TextDetection (Maybe Natural)
textDetection_type :: Lens' TextDetection (Maybe TextTypes)
data TextDetectionResult = TextDetectionResult' {
- textDetection :: Maybe TextDetection
- timestamp :: Maybe Integer
}
newTextDetectionResult :: TextDetectionResult
textDetectionResult_textDetection :: Lens' TextDetectionResult (Maybe TextDetection)
textDetectionResult_timestamp :: Lens' TextDetectionResult (Maybe Integer)
data TrainingData = TrainingData' {
- assets :: Maybe [Asset]
}
newTrainingData :: TrainingData
trainingData_assets :: Lens' TrainingData (Maybe [Asset])
data TrainingDataResult = TrainingDataResult' {
- input :: Maybe TrainingData
- output :: Maybe TrainingData
- validation :: Maybe ValidationData
}
newTrainingDataResult :: TrainingDataResult
trainingDataResult_input :: Lens' TrainingDataResult (Maybe TrainingData)
trainingDataResult_output :: Lens' TrainingDataResult (Maybe TrainingData)
trainingDataResult_validation :: Lens' TrainingDataResult (Maybe ValidationData)
data UnindexedFace = UnindexedFace' {
- faceDetail :: Maybe FaceDetail
- reasons :: Maybe [Reason]
}
newUnindexedFace :: UnindexedFace
unindexedFace_faceDetail :: Lens' UnindexedFace (Maybe FaceDetail)
unindexedFace_reasons :: Lens' UnindexedFace (Maybe [Reason])
data ValidationData = ValidationData' {
- assets :: Maybe [Asset]
}
newValidationData :: ValidationData
validationData_assets :: Lens' ValidationData (Maybe [Asset])
data Video = Video' {
- s3Object :: Maybe S3Object
}
newVideo :: Video
video_s3Object :: Lens' Video (Maybe S3Object)
data VideoMetadata = VideoMetadata' {
- codec :: Maybe Text
- colorRange :: Maybe VideoColorRange
- durationMillis :: Maybe Natural
- format :: Maybe Text
- frameHeight :: Maybe Natural
- frameRate :: Maybe Double
- frameWidth :: Maybe Natural
}
newVideoMetadata :: VideoMetadata
videoMetadata_codec :: Lens' VideoMetadata (Maybe Text)
videoMetadata_colorRange :: Lens' VideoMetadata (Maybe VideoColorRange)
videoMetadata_durationMillis :: Lens' VideoMetadata (Maybe Natural)
videoMetadata_format :: Lens' VideoMetadata (Maybe Text)
videoMetadata_frameHeight :: Lens' VideoMetadata (Maybe Natural)
videoMetadata_frameRate :: Lens' VideoMetadata (Maybe Double)
videoMetadata_frameWidth :: Lens' VideoMetadata (Maybe Natural)

Service Configuration

defaultService :: Service Source #

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

Errors

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

You are not authorized to perform the action.

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

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

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

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

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

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

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

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

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

The provided image format is not supported.

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

Pagination token in the request is not valid.

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

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

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

The supplied revision id for the project policy is invalid.

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

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

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

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

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

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

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

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

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

A resource with the specified ID already exists.

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

The specified resource is already being used.

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

The resource specified in the request cannot be found.

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

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

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

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

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

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

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

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

Attribute

newtype Attribute Source #

Constructors

Attribute'
Fields fromAttribute :: Text

Bundled Patterns

pattern Attribute_ALL :: Attribute
pattern Attribute_DEFAULT :: Attribute

Instances

Instances details

FromJSON Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods parseJSON :: Value -> Parser Attribute # parseJSONList :: Value -> Parser [Attribute] #
FromJSONKey Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods fromJSONKey :: FromJSONKeyFunction Attribute # fromJSONKeyList :: FromJSONKeyFunction [Attribute] #
ToJSON Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toJSON :: Attribute -> Value # toEncoding :: Attribute -> Encoding # toJSONList :: [Attribute] -> Value # toEncodingList :: [Attribute] -> Encoding #
ToJSONKey Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toJSONKey :: ToJSONKeyFunction Attribute # toJSONKeyList :: ToJSONKeyFunction [Attribute] #
ToByteString Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toBS :: Attribute -> ByteString #
ToHeader Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toHeader :: HeaderName -> Attribute -> [Header] #
ToLog Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods build :: Attribute -> ByteStringBuilder #
ToQuery Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toQuery :: Attribute -> QueryString #
FromText Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods fromText :: Text -> Either String Attribute #
ToText Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toText :: Attribute -> Text #
FromXML Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods parseXML :: [Node] -> Either String Attribute #
ToXML Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods toXML :: Attribute -> XML #
Generic Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Associated Types type Rep Attribute :: Type -> Type # Methods from :: Attribute -> Rep Attribute x # to :: Rep Attribute x -> Attribute #
Read Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods readsPrec :: Int -> ReadS Attribute # readList :: ReadS [Attribute] # readPrec :: ReadPrec Attribute # readListPrec :: ReadPrec [Attribute] #
Show Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods showsPrec :: Int -> Attribute -> ShowS # show :: Attribute -> String # showList :: [Attribute] -> ShowS #
NFData Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods rnf :: Attribute -> () #
Eq Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods (==) :: Attribute -> Attribute -> Bool # (/=) :: Attribute -> Attribute -> Bool #
Ord Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods compare :: Attribute -> Attribute -> Ordering # (<) :: Attribute -> Attribute -> Bool # (<=) :: Attribute -> Attribute -> Bool # (>) :: Attribute -> Attribute -> Bool # (>=) :: Attribute -> Attribute -> Bool # max :: Attribute -> Attribute -> Attribute # min :: Attribute -> Attribute -> Attribute #
Hashable Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute Methods hashWithSalt :: Int -> Attribute -> Int # hash :: Attribute -> Int #
type Rep Attribute Source #
Instance details Defined in Amazonka.Rekognition.Types.Attribute type Rep Attribute = D1 ('MetaData "Attribute" "Amazonka.Rekognition.Types.Attribute" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "Attribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BodyPart

newtype BodyPart Source #

Constructors

BodyPart'
Fields fromBodyPart :: Text

Bundled Patterns

pattern BodyPart_FACE :: BodyPart
pattern BodyPart_HEAD :: BodyPart
pattern BodyPart_LEFT_HAND :: BodyPart
pattern BodyPart_RIGHT_HAND :: BodyPart

Instances

Instances details

FromJSON BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods parseJSON :: Value -> Parser BodyPart # parseJSONList :: Value -> Parser [BodyPart] #
FromJSONKey BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods fromJSONKey :: FromJSONKeyFunction BodyPart # fromJSONKeyList :: FromJSONKeyFunction [BodyPart] #
ToJSON BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toJSON :: BodyPart -> Value # toEncoding :: BodyPart -> Encoding # toJSONList :: [BodyPart] -> Value # toEncodingList :: [BodyPart] -> Encoding #
ToJSONKey BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toJSONKey :: ToJSONKeyFunction BodyPart # toJSONKeyList :: ToJSONKeyFunction [BodyPart] #
ToByteString BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toBS :: BodyPart -> ByteString #
ToHeader BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toHeader :: HeaderName -> BodyPart -> [Header] #
ToLog BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods build :: BodyPart -> ByteStringBuilder #
ToQuery BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toQuery :: BodyPart -> QueryString #
FromText BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods fromText :: Text -> Either String BodyPart #
ToText BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toText :: BodyPart -> Text #
FromXML BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods parseXML :: [Node] -> Either String BodyPart #
ToXML BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods toXML :: BodyPart -> XML #
Generic BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Associated Types type Rep BodyPart :: Type -> Type # Methods from :: BodyPart -> Rep BodyPart x # to :: Rep BodyPart x -> BodyPart #
Read BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods readsPrec :: Int -> ReadS BodyPart # readList :: ReadS [BodyPart] # readPrec :: ReadPrec BodyPart # readListPrec :: ReadPrec [BodyPart] #
Show BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods showsPrec :: Int -> BodyPart -> ShowS # show :: BodyPart -> String # showList :: [BodyPart] -> ShowS #
NFData BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods rnf :: BodyPart -> () #
Eq BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods (==) :: BodyPart -> BodyPart -> Bool # (/=) :: BodyPart -> BodyPart -> Bool #
Ord BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods compare :: BodyPart -> BodyPart -> Ordering # (<) :: BodyPart -> BodyPart -> Bool # (<=) :: BodyPart -> BodyPart -> Bool # (>) :: BodyPart -> BodyPart -> Bool # (>=) :: BodyPart -> BodyPart -> Bool # max :: BodyPart -> BodyPart -> BodyPart # min :: BodyPart -> BodyPart -> BodyPart #
Hashable BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart Methods hashWithSalt :: Int -> BodyPart -> Int # hash :: BodyPart -> Int #
type Rep BodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.BodyPart type Rep BodyPart = D1 ('MetaData "BodyPart" "Amazonka.Rekognition.Types.BodyPart" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "BodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBodyPart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CelebrityRecognitionSortBy

newtype CelebrityRecognitionSortBy Source #

Constructors

CelebrityRecognitionSortBy'
Fields fromCelebrityRecognitionSortBy :: Text

Bundled Patterns

pattern CelebrityRecognitionSortBy_ID :: CelebrityRecognitionSortBy
pattern CelebrityRecognitionSortBy_TIMESTAMP :: CelebrityRecognitionSortBy

Instances

Instances details

FromJSON CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods parseJSON :: Value -> Parser CelebrityRecognitionSortBy # parseJSONList :: Value -> Parser [CelebrityRecognitionSortBy] #
FromJSONKey CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods fromJSONKey :: FromJSONKeyFunction CelebrityRecognitionSortBy # fromJSONKeyList :: FromJSONKeyFunction [CelebrityRecognitionSortBy] #
ToJSON CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toJSON :: CelebrityRecognitionSortBy -> Value # toEncoding :: CelebrityRecognitionSortBy -> Encoding # toJSONList :: [CelebrityRecognitionSortBy] -> Value # toEncodingList :: [CelebrityRecognitionSortBy] -> Encoding #
ToJSONKey CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toJSONKey :: ToJSONKeyFunction CelebrityRecognitionSortBy # toJSONKeyList :: ToJSONKeyFunction [CelebrityRecognitionSortBy] #
ToByteString CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toBS :: CelebrityRecognitionSortBy -> ByteString #
ToHeader CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toHeader :: HeaderName -> CelebrityRecognitionSortBy -> [Header] #
ToLog CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods build :: CelebrityRecognitionSortBy -> ByteStringBuilder #
ToQuery CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toQuery :: CelebrityRecognitionSortBy -> QueryString #
FromText CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods fromText :: Text -> Either String CelebrityRecognitionSortBy #
ToText CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toText :: CelebrityRecognitionSortBy -> Text #
FromXML CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods parseXML :: [Node] -> Either String CelebrityRecognitionSortBy #
ToXML CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods toXML :: CelebrityRecognitionSortBy -> XML #
Generic CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Associated Types type Rep CelebrityRecognitionSortBy :: Type -> Type # Methods from :: CelebrityRecognitionSortBy -> Rep CelebrityRecognitionSortBy x # to :: Rep CelebrityRecognitionSortBy x -> CelebrityRecognitionSortBy #
Read CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods readsPrec :: Int -> ReadS CelebrityRecognitionSortBy # readList :: ReadS [CelebrityRecognitionSortBy] # readPrec :: ReadPrec CelebrityRecognitionSortBy # readListPrec :: ReadPrec [CelebrityRecognitionSortBy] #
Show CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods showsPrec :: Int -> CelebrityRecognitionSortBy -> ShowS # show :: CelebrityRecognitionSortBy -> String # showList :: [CelebrityRecognitionSortBy] -> ShowS #
NFData CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods rnf :: CelebrityRecognitionSortBy -> () #
Eq CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods (==) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (/=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool #
Ord CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods compare :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Ordering # (<) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (<=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (>) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # (>=) :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> Bool # max :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy # min :: CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy -> CelebrityRecognitionSortBy #
Hashable CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy Methods hashWithSalt :: Int -> CelebrityRecognitionSortBy -> Int # hash :: CelebrityRecognitionSortBy -> Int #
type Rep CelebrityRecognitionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognitionSortBy type Rep CelebrityRecognitionSortBy = D1 ('MetaData "CelebrityRecognitionSortBy" "Amazonka.Rekognition.Types.CelebrityRecognitionSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "CelebrityRecognitionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCelebrityRecognitionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentClassifier

newtype ContentClassifier Source #

Constructors

ContentClassifier'
Fields fromContentClassifier :: Text

Bundled Patterns

pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier

Instances

Instances details

FromJSON ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods parseJSON :: Value -> Parser ContentClassifier # parseJSONList :: Value -> Parser [ContentClassifier] #
FromJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods fromJSONKey :: FromJSONKeyFunction ContentClassifier # fromJSONKeyList :: FromJSONKeyFunction [ContentClassifier] #
ToJSON ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toJSON :: ContentClassifier -> Value # toEncoding :: ContentClassifier -> Encoding # toJSONList :: [ContentClassifier] -> Value # toEncodingList :: [ContentClassifier] -> Encoding #
ToJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toJSONKey :: ToJSONKeyFunction ContentClassifier # toJSONKeyList :: ToJSONKeyFunction [ContentClassifier] #
ToByteString ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toBS :: ContentClassifier -> ByteString #
ToHeader ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toHeader :: HeaderName -> ContentClassifier -> [Header] #
ToLog ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods build :: ContentClassifier -> ByteStringBuilder #
ToQuery ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toQuery :: ContentClassifier -> QueryString #
FromText ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods fromText :: Text -> Either String ContentClassifier #
ToText ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toText :: ContentClassifier -> Text #
FromXML ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods parseXML :: [Node] -> Either String ContentClassifier #
ToXML ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods toXML :: ContentClassifier -> XML #
Generic ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Associated Types type Rep ContentClassifier :: Type -> Type # Methods from :: ContentClassifier -> Rep ContentClassifier x # to :: Rep ContentClassifier x -> ContentClassifier #
Read ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods readsPrec :: Int -> ReadS ContentClassifier # readList :: ReadS [ContentClassifier] # readPrec :: ReadPrec ContentClassifier # readListPrec :: ReadPrec [ContentClassifier] #
Show ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods showsPrec :: Int -> ContentClassifier -> ShowS # show :: ContentClassifier -> String # showList :: [ContentClassifier] -> ShowS #
NFData ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods rnf :: ContentClassifier -> () #
Eq ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods (==) :: ContentClassifier -> ContentClassifier -> Bool # (/=) :: ContentClassifier -> ContentClassifier -> Bool #
Ord ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods compare :: ContentClassifier -> ContentClassifier -> Ordering # (<) :: ContentClassifier -> ContentClassifier -> Bool # (<=) :: ContentClassifier -> ContentClassifier -> Bool # (>) :: ContentClassifier -> ContentClassifier -> Bool # (>=) :: ContentClassifier -> ContentClassifier -> Bool # max :: ContentClassifier -> ContentClassifier -> ContentClassifier # min :: ContentClassifier -> ContentClassifier -> ContentClassifier #
Hashable ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier Methods hashWithSalt :: Int -> ContentClassifier -> Int # hash :: ContentClassifier -> Int #
type Rep ContentClassifier Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentClassifier type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.Rekognition.Types.ContentClassifier" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ContentClassifier'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentClassifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentModerationSortBy

newtype ContentModerationSortBy Source #

Constructors

ContentModerationSortBy'
Fields fromContentModerationSortBy :: Text

Bundled Patterns

pattern ContentModerationSortBy_NAME :: ContentModerationSortBy
pattern ContentModerationSortBy_TIMESTAMP :: ContentModerationSortBy

Instances

Instances details

FromJSON ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods parseJSON :: Value -> Parser ContentModerationSortBy # parseJSONList :: Value -> Parser [ContentModerationSortBy] #
FromJSONKey ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods fromJSONKey :: FromJSONKeyFunction ContentModerationSortBy # fromJSONKeyList :: FromJSONKeyFunction [ContentModerationSortBy] #
ToJSON ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toJSON :: ContentModerationSortBy -> Value # toEncoding :: ContentModerationSortBy -> Encoding # toJSONList :: [ContentModerationSortBy] -> Value # toEncodingList :: [ContentModerationSortBy] -> Encoding #
ToJSONKey ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toJSONKey :: ToJSONKeyFunction ContentModerationSortBy # toJSONKeyList :: ToJSONKeyFunction [ContentModerationSortBy] #
ToByteString ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toBS :: ContentModerationSortBy -> ByteString #
ToHeader ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toHeader :: HeaderName -> ContentModerationSortBy -> [Header] #
ToLog ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods build :: ContentModerationSortBy -> ByteStringBuilder #
ToQuery ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toQuery :: ContentModerationSortBy -> QueryString #
FromText ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods fromText :: Text -> Either String ContentModerationSortBy #
ToText ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toText :: ContentModerationSortBy -> Text #
FromXML ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods parseXML :: [Node] -> Either String ContentModerationSortBy #
ToXML ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods toXML :: ContentModerationSortBy -> XML #
Generic ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Associated Types type Rep ContentModerationSortBy :: Type -> Type # Methods from :: ContentModerationSortBy -> Rep ContentModerationSortBy x # to :: Rep ContentModerationSortBy x -> ContentModerationSortBy #
Read ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods readsPrec :: Int -> ReadS ContentModerationSortBy # readList :: ReadS [ContentModerationSortBy] # readPrec :: ReadPrec ContentModerationSortBy # readListPrec :: ReadPrec [ContentModerationSortBy] #
Show ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods showsPrec :: Int -> ContentModerationSortBy -> ShowS # show :: ContentModerationSortBy -> String # showList :: [ContentModerationSortBy] -> ShowS #
NFData ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods rnf :: ContentModerationSortBy -> () #
Eq ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods (==) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (/=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool #
Ord ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods compare :: ContentModerationSortBy -> ContentModerationSortBy -> Ordering # (<) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (<=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (>) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # (>=) :: ContentModerationSortBy -> ContentModerationSortBy -> Bool # max :: ContentModerationSortBy -> ContentModerationSortBy -> ContentModerationSortBy # min :: ContentModerationSortBy -> ContentModerationSortBy -> ContentModerationSortBy #
Hashable ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy Methods hashWithSalt :: Int -> ContentModerationSortBy -> Int # hash :: ContentModerationSortBy -> Int #
type Rep ContentModerationSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationSortBy type Rep ContentModerationSortBy = D1 ('MetaData "ContentModerationSortBy" "Amazonka.Rekognition.Types.ContentModerationSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ContentModerationSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentModerationSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetStatus

newtype DatasetStatus Source #

Constructors

DatasetStatus'
Fields fromDatasetStatus :: Text

Bundled Patterns

pattern DatasetStatus_CREATE_COMPLETE :: DatasetStatus
pattern DatasetStatus_CREATE_FAILED :: DatasetStatus
pattern DatasetStatus_CREATE_IN_PROGRESS :: DatasetStatus
pattern DatasetStatus_DELETE_IN_PROGRESS :: DatasetStatus
pattern DatasetStatus_UPDATE_COMPLETE :: DatasetStatus
pattern DatasetStatus_UPDATE_FAILED :: DatasetStatus
pattern DatasetStatus_UPDATE_IN_PROGRESS :: DatasetStatus

Instances

Instances details

FromJSON DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods parseJSON :: Value -> Parser DatasetStatus # parseJSONList :: Value -> Parser [DatasetStatus] #
FromJSONKey DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods fromJSONKey :: FromJSONKeyFunction DatasetStatus # fromJSONKeyList :: FromJSONKeyFunction [DatasetStatus] #
ToJSON DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toJSON :: DatasetStatus -> Value # toEncoding :: DatasetStatus -> Encoding # toJSONList :: [DatasetStatus] -> Value # toEncodingList :: [DatasetStatus] -> Encoding #
ToJSONKey DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toJSONKey :: ToJSONKeyFunction DatasetStatus # toJSONKeyList :: ToJSONKeyFunction [DatasetStatus] #
ToByteString DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toBS :: DatasetStatus -> ByteString #
ToHeader DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toHeader :: HeaderName -> DatasetStatus -> [Header] #
ToLog DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods build :: DatasetStatus -> ByteStringBuilder #
ToQuery DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toQuery :: DatasetStatus -> QueryString #
FromText DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods fromText :: Text -> Either String DatasetStatus #
ToText DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toText :: DatasetStatus -> Text #
FromXML DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods parseXML :: [Node] -> Either String DatasetStatus #
ToXML DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods toXML :: DatasetStatus -> XML #
Generic DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Associated Types type Rep DatasetStatus :: Type -> Type # Methods from :: DatasetStatus -> Rep DatasetStatus x # to :: Rep DatasetStatus x -> DatasetStatus #
Read DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods readsPrec :: Int -> ReadS DatasetStatus # readList :: ReadS [DatasetStatus] # readPrec :: ReadPrec DatasetStatus # readListPrec :: ReadPrec [DatasetStatus] #
Show DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods showsPrec :: Int -> DatasetStatus -> ShowS # show :: DatasetStatus -> String # showList :: [DatasetStatus] -> ShowS #
NFData DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods rnf :: DatasetStatus -> () #
Eq DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods (==) :: DatasetStatus -> DatasetStatus -> Bool # (/=) :: DatasetStatus -> DatasetStatus -> Bool #
Ord DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods compare :: DatasetStatus -> DatasetStatus -> Ordering # (<) :: DatasetStatus -> DatasetStatus -> Bool # (<=) :: DatasetStatus -> DatasetStatus -> Bool # (>) :: DatasetStatus -> DatasetStatus -> Bool # (>=) :: DatasetStatus -> DatasetStatus -> Bool # max :: DatasetStatus -> DatasetStatus -> DatasetStatus # min :: DatasetStatus -> DatasetStatus -> DatasetStatus #
Hashable DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus Methods hashWithSalt :: Int -> DatasetStatus -> Int # hash :: DatasetStatus -> Int #
type Rep DatasetStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatus type Rep DatasetStatus = D1 ('MetaData "DatasetStatus" "Amazonka.Rekognition.Types.DatasetStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetStatusMessageCode

newtype DatasetStatusMessageCode Source #

Constructors

DatasetStatusMessageCode'
Fields fromDatasetStatusMessageCode :: Text

Bundled Patterns

pattern DatasetStatusMessageCode_CLIENT_ERROR :: DatasetStatusMessageCode
pattern DatasetStatusMessageCode_SERVICE_ERROR :: DatasetStatusMessageCode
pattern DatasetStatusMessageCode_SUCCESS :: DatasetStatusMessageCode

Instances

Instances details

FromJSON DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods parseJSON :: Value -> Parser DatasetStatusMessageCode # parseJSONList :: Value -> Parser [DatasetStatusMessageCode] #
FromJSONKey DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods fromJSONKey :: FromJSONKeyFunction DatasetStatusMessageCode # fromJSONKeyList :: FromJSONKeyFunction [DatasetStatusMessageCode] #
ToJSON DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toJSON :: DatasetStatusMessageCode -> Value # toEncoding :: DatasetStatusMessageCode -> Encoding # toJSONList :: [DatasetStatusMessageCode] -> Value # toEncodingList :: [DatasetStatusMessageCode] -> Encoding #
ToJSONKey DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toJSONKey :: ToJSONKeyFunction DatasetStatusMessageCode # toJSONKeyList :: ToJSONKeyFunction [DatasetStatusMessageCode] #
ToByteString DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toBS :: DatasetStatusMessageCode -> ByteString #
ToHeader DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toHeader :: HeaderName -> DatasetStatusMessageCode -> [Header] #
ToLog DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods build :: DatasetStatusMessageCode -> ByteStringBuilder #
ToQuery DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toQuery :: DatasetStatusMessageCode -> QueryString #
FromText DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods fromText :: Text -> Either String DatasetStatusMessageCode #
ToText DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toText :: DatasetStatusMessageCode -> Text #
FromXML DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods parseXML :: [Node] -> Either String DatasetStatusMessageCode #
ToXML DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods toXML :: DatasetStatusMessageCode -> XML #
Generic DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Associated Types type Rep DatasetStatusMessageCode :: Type -> Type # Methods from :: DatasetStatusMessageCode -> Rep DatasetStatusMessageCode x # to :: Rep DatasetStatusMessageCode x -> DatasetStatusMessageCode #
Read DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods readsPrec :: Int -> ReadS DatasetStatusMessageCode # readList :: ReadS [DatasetStatusMessageCode] # readPrec :: ReadPrec DatasetStatusMessageCode # readListPrec :: ReadPrec [DatasetStatusMessageCode] #
Show DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods showsPrec :: Int -> DatasetStatusMessageCode -> ShowS # show :: DatasetStatusMessageCode -> String # showList :: [DatasetStatusMessageCode] -> ShowS #
NFData DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods rnf :: DatasetStatusMessageCode -> () #
Eq DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods (==) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (/=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool #
Ord DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods compare :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Ordering # (<) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (<=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (>) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # (>=) :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> Bool # max :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> DatasetStatusMessageCode # min :: DatasetStatusMessageCode -> DatasetStatusMessageCode -> DatasetStatusMessageCode #
Hashable DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode Methods hashWithSalt :: Int -> DatasetStatusMessageCode -> Int # hash :: DatasetStatusMessageCode -> Int #
type Rep DatasetStatusMessageCode Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetStatusMessageCode type Rep DatasetStatusMessageCode = D1 ('MetaData "DatasetStatusMessageCode" "Amazonka.Rekognition.Types.DatasetStatusMessageCode" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetStatusMessageCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetStatusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DatasetType

newtype DatasetType Source #

Constructors

DatasetType'
Fields fromDatasetType :: Text

Bundled Patterns

pattern DatasetType_TEST :: DatasetType
pattern DatasetType_TRAIN :: DatasetType

Instances

Instances details

FromJSON DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods parseJSON :: Value -> Parser DatasetType # parseJSONList :: Value -> Parser [DatasetType] #
FromJSONKey DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods fromJSONKey :: FromJSONKeyFunction DatasetType # fromJSONKeyList :: FromJSONKeyFunction [DatasetType] #
ToJSON DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toJSON :: DatasetType -> Value # toEncoding :: DatasetType -> Encoding # toJSONList :: [DatasetType] -> Value # toEncodingList :: [DatasetType] -> Encoding #
ToJSONKey DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toJSONKey :: ToJSONKeyFunction DatasetType # toJSONKeyList :: ToJSONKeyFunction [DatasetType] #
ToByteString DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toBS :: DatasetType -> ByteString #
ToHeader DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toHeader :: HeaderName -> DatasetType -> [Header] #
ToLog DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods build :: DatasetType -> ByteStringBuilder #
ToQuery DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toQuery :: DatasetType -> QueryString #
FromText DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods fromText :: Text -> Either String DatasetType #
ToText DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toText :: DatasetType -> Text #
FromXML DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods parseXML :: [Node] -> Either String DatasetType #
ToXML DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods toXML :: DatasetType -> XML #
Generic DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Associated Types type Rep DatasetType :: Type -> Type # Methods from :: DatasetType -> Rep DatasetType x # to :: Rep DatasetType x -> DatasetType #
Read DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods readsPrec :: Int -> ReadS DatasetType # readList :: ReadS [DatasetType] # readPrec :: ReadPrec DatasetType # readListPrec :: ReadPrec [DatasetType] #
Show DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods showsPrec :: Int -> DatasetType -> ShowS # show :: DatasetType -> String # showList :: [DatasetType] -> ShowS #
NFData DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods rnf :: DatasetType -> () #
Eq DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods (==) :: DatasetType -> DatasetType -> Bool # (/=) :: DatasetType -> DatasetType -> Bool #
Ord DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods compare :: DatasetType -> DatasetType -> Ordering # (<) :: DatasetType -> DatasetType -> Bool # (<=) :: DatasetType -> DatasetType -> Bool # (>) :: DatasetType -> DatasetType -> Bool # (>=) :: DatasetType -> DatasetType -> Bool # max :: DatasetType -> DatasetType -> DatasetType # min :: DatasetType -> DatasetType -> DatasetType #
Hashable DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType Methods hashWithSalt :: Int -> DatasetType -> Int # hash :: DatasetType -> Int #
type Rep DatasetType Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetType type Rep DatasetType = D1 ('MetaData "DatasetType" "Amazonka.Rekognition.Types.DatasetType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DatasetType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetectLabelsFeatureName

newtype DetectLabelsFeatureName Source #

Constructors

DetectLabelsFeatureName'
Fields fromDetectLabelsFeatureName :: Text

Bundled Patterns

pattern DetectLabelsFeatureName_GENERAL_LABELS :: DetectLabelsFeatureName
pattern DetectLabelsFeatureName_IMAGE_PROPERTIES :: DetectLabelsFeatureName

Instances

Instances details

FromJSON DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods parseJSON :: Value -> Parser DetectLabelsFeatureName # parseJSONList :: Value -> Parser [DetectLabelsFeatureName] #
FromJSONKey DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods fromJSONKey :: FromJSONKeyFunction DetectLabelsFeatureName # fromJSONKeyList :: FromJSONKeyFunction [DetectLabelsFeatureName] #
ToJSON DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toJSON :: DetectLabelsFeatureName -> Value # toEncoding :: DetectLabelsFeatureName -> Encoding # toJSONList :: [DetectLabelsFeatureName] -> Value # toEncodingList :: [DetectLabelsFeatureName] -> Encoding #
ToJSONKey DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toJSONKey :: ToJSONKeyFunction DetectLabelsFeatureName # toJSONKeyList :: ToJSONKeyFunction [DetectLabelsFeatureName] #
ToByteString DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toBS :: DetectLabelsFeatureName -> ByteString #
ToHeader DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toHeader :: HeaderName -> DetectLabelsFeatureName -> [Header] #
ToLog DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods build :: DetectLabelsFeatureName -> ByteStringBuilder #
ToQuery DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toQuery :: DetectLabelsFeatureName -> QueryString #
FromText DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods fromText :: Text -> Either String DetectLabelsFeatureName #
ToText DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toText :: DetectLabelsFeatureName -> Text #
FromXML DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods parseXML :: [Node] -> Either String DetectLabelsFeatureName #
ToXML DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods toXML :: DetectLabelsFeatureName -> XML #
Generic DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Associated Types type Rep DetectLabelsFeatureName :: Type -> Type # Methods from :: DetectLabelsFeatureName -> Rep DetectLabelsFeatureName x # to :: Rep DetectLabelsFeatureName x -> DetectLabelsFeatureName #
Read DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods readsPrec :: Int -> ReadS DetectLabelsFeatureName # readList :: ReadS [DetectLabelsFeatureName] # readPrec :: ReadPrec DetectLabelsFeatureName # readListPrec :: ReadPrec [DetectLabelsFeatureName] #
Show DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods showsPrec :: Int -> DetectLabelsFeatureName -> ShowS # show :: DetectLabelsFeatureName -> String # showList :: [DetectLabelsFeatureName] -> ShowS #
NFData DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods rnf :: DetectLabelsFeatureName -> () #
Eq DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods (==) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (/=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool #
Ord DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods compare :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Ordering # (<) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (<=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (>) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # (>=) :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> Bool # max :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> DetectLabelsFeatureName # min :: DetectLabelsFeatureName -> DetectLabelsFeatureName -> DetectLabelsFeatureName #
Hashable DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName Methods hashWithSalt :: Int -> DetectLabelsFeatureName -> Int # hash :: DetectLabelsFeatureName -> Int #
type Rep DetectLabelsFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsFeatureName type Rep DetectLabelsFeatureName = D1 ('MetaData "DetectLabelsFeatureName" "Amazonka.Rekognition.Types.DetectLabelsFeatureName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "DetectLabelsFeatureName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetectLabelsFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EmotionName

newtype EmotionName Source #

Constructors

EmotionName'
Fields fromEmotionName :: Text

Bundled Patterns

pattern EmotionName_ANGRY :: EmotionName
pattern EmotionName_CALM :: EmotionName
pattern EmotionName_CONFUSED :: EmotionName
pattern EmotionName_DISGUSTED :: EmotionName
pattern EmotionName_FEAR :: EmotionName
pattern EmotionName_HAPPY :: EmotionName
pattern EmotionName_SAD :: EmotionName
pattern EmotionName_SURPRISED :: EmotionName
pattern EmotionName_UNKNOWN :: EmotionName

Instances

Instances details

FromJSON EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods parseJSON :: Value -> Parser EmotionName # parseJSONList :: Value -> Parser [EmotionName] #
FromJSONKey EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods fromJSONKey :: FromJSONKeyFunction EmotionName # fromJSONKeyList :: FromJSONKeyFunction [EmotionName] #
ToJSON EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toJSON :: EmotionName -> Value # toEncoding :: EmotionName -> Encoding # toJSONList :: [EmotionName] -> Value # toEncodingList :: [EmotionName] -> Encoding #
ToJSONKey EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toJSONKey :: ToJSONKeyFunction EmotionName # toJSONKeyList :: ToJSONKeyFunction [EmotionName] #
ToByteString EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toBS :: EmotionName -> ByteString #
ToHeader EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toHeader :: HeaderName -> EmotionName -> [Header] #
ToLog EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods build :: EmotionName -> ByteStringBuilder #
ToQuery EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toQuery :: EmotionName -> QueryString #
FromText EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods fromText :: Text -> Either String EmotionName #
ToText EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toText :: EmotionName -> Text #
FromXML EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods parseXML :: [Node] -> Either String EmotionName #
ToXML EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods toXML :: EmotionName -> XML #
Generic EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Associated Types type Rep EmotionName :: Type -> Type # Methods from :: EmotionName -> Rep EmotionName x # to :: Rep EmotionName x -> EmotionName #
Read EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods readsPrec :: Int -> ReadS EmotionName # readList :: ReadS [EmotionName] # readPrec :: ReadPrec EmotionName # readListPrec :: ReadPrec [EmotionName] #
Show EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods showsPrec :: Int -> EmotionName -> ShowS # show :: EmotionName -> String # showList :: [EmotionName] -> ShowS #
NFData EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods rnf :: EmotionName -> () #
Eq EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods (==) :: EmotionName -> EmotionName -> Bool # (/=) :: EmotionName -> EmotionName -> Bool #
Ord EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods compare :: EmotionName -> EmotionName -> Ordering # (<) :: EmotionName -> EmotionName -> Bool # (<=) :: EmotionName -> EmotionName -> Bool # (>) :: EmotionName -> EmotionName -> Bool # (>=) :: EmotionName -> EmotionName -> Bool # max :: EmotionName -> EmotionName -> EmotionName # min :: EmotionName -> EmotionName -> EmotionName #
Hashable EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName Methods hashWithSalt :: Int -> EmotionName -> Int # hash :: EmotionName -> Int #
type Rep EmotionName Source #
Instance details Defined in Amazonka.Rekognition.Types.EmotionName type Rep EmotionName = D1 ('MetaData "EmotionName" "Amazonka.Rekognition.Types.EmotionName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "EmotionName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEmotionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FaceAttributes

newtype FaceAttributes Source #

Constructors

FaceAttributes'
Fields fromFaceAttributes :: Text

Bundled Patterns

pattern FaceAttributes_ALL :: FaceAttributes
pattern FaceAttributes_DEFAULT :: FaceAttributes

Instances

Instances details

FromJSON FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods parseJSON :: Value -> Parser FaceAttributes # parseJSONList :: Value -> Parser [FaceAttributes] #
FromJSONKey FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods fromJSONKey :: FromJSONKeyFunction FaceAttributes # fromJSONKeyList :: FromJSONKeyFunction [FaceAttributes] #
ToJSON FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toJSON :: FaceAttributes -> Value # toEncoding :: FaceAttributes -> Encoding # toJSONList :: [FaceAttributes] -> Value # toEncodingList :: [FaceAttributes] -> Encoding #
ToJSONKey FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toJSONKey :: ToJSONKeyFunction FaceAttributes # toJSONKeyList :: ToJSONKeyFunction [FaceAttributes] #
ToByteString FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toBS :: FaceAttributes -> ByteString #
ToHeader FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toHeader :: HeaderName -> FaceAttributes -> [Header] #
ToLog FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods build :: FaceAttributes -> ByteStringBuilder #
ToQuery FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toQuery :: FaceAttributes -> QueryString #
FromText FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods fromText :: Text -> Either String FaceAttributes #
ToText FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toText :: FaceAttributes -> Text #
FromXML FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods parseXML :: [Node] -> Either String FaceAttributes #
ToXML FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods toXML :: FaceAttributes -> XML #
Generic FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Associated Types type Rep FaceAttributes :: Type -> Type # Methods from :: FaceAttributes -> Rep FaceAttributes x # to :: Rep FaceAttributes x -> FaceAttributes #
Read FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods readsPrec :: Int -> ReadS FaceAttributes # readList :: ReadS [FaceAttributes] # readPrec :: ReadPrec FaceAttributes # readListPrec :: ReadPrec [FaceAttributes] #
Show FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods showsPrec :: Int -> FaceAttributes -> ShowS # show :: FaceAttributes -> String # showList :: [FaceAttributes] -> ShowS #
NFData FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods rnf :: FaceAttributes -> () #
Eq FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods (==) :: FaceAttributes -> FaceAttributes -> Bool # (/=) :: FaceAttributes -> FaceAttributes -> Bool #
Ord FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods compare :: FaceAttributes -> FaceAttributes -> Ordering # (<) :: FaceAttributes -> FaceAttributes -> Bool # (<=) :: FaceAttributes -> FaceAttributes -> Bool # (>) :: FaceAttributes -> FaceAttributes -> Bool # (>=) :: FaceAttributes -> FaceAttributes -> Bool # max :: FaceAttributes -> FaceAttributes -> FaceAttributes # min :: FaceAttributes -> FaceAttributes -> FaceAttributes #
Hashable FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes Methods hashWithSalt :: Int -> FaceAttributes -> Int # hash :: FaceAttributes -> Int #
type Rep FaceAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceAttributes type Rep FaceAttributes = D1 ('MetaData "FaceAttributes" "Amazonka.Rekognition.Types.FaceAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "FaceAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFaceAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FaceSearchSortBy

newtype FaceSearchSortBy Source #

Constructors

FaceSearchSortBy'
Fields fromFaceSearchSortBy :: Text

Bundled Patterns

pattern FaceSearchSortBy_INDEX :: FaceSearchSortBy
pattern FaceSearchSortBy_TIMESTAMP :: FaceSearchSortBy

Instances

Instances details

FromJSON FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods parseJSON :: Value -> Parser FaceSearchSortBy # parseJSONList :: Value -> Parser [FaceSearchSortBy] #
FromJSONKey FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods fromJSONKey :: FromJSONKeyFunction FaceSearchSortBy # fromJSONKeyList :: FromJSONKeyFunction [FaceSearchSortBy] #
ToJSON FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toJSON :: FaceSearchSortBy -> Value # toEncoding :: FaceSearchSortBy -> Encoding # toJSONList :: [FaceSearchSortBy] -> Value # toEncodingList :: [FaceSearchSortBy] -> Encoding #
ToJSONKey FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toJSONKey :: ToJSONKeyFunction FaceSearchSortBy # toJSONKeyList :: ToJSONKeyFunction [FaceSearchSortBy] #
ToByteString FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toBS :: FaceSearchSortBy -> ByteString #
ToHeader FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toHeader :: HeaderName -> FaceSearchSortBy -> [Header] #
ToLog FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods build :: FaceSearchSortBy -> ByteStringBuilder #
ToQuery FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toQuery :: FaceSearchSortBy -> QueryString #
FromText FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods fromText :: Text -> Either String FaceSearchSortBy #
ToText FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toText :: FaceSearchSortBy -> Text #
FromXML FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods parseXML :: [Node] -> Either String FaceSearchSortBy #
ToXML FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods toXML :: FaceSearchSortBy -> XML #
Generic FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Associated Types type Rep FaceSearchSortBy :: Type -> Type # Methods from :: FaceSearchSortBy -> Rep FaceSearchSortBy x # to :: Rep FaceSearchSortBy x -> FaceSearchSortBy #
Read FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods readsPrec :: Int -> ReadS FaceSearchSortBy # readList :: ReadS [FaceSearchSortBy] # readPrec :: ReadPrec FaceSearchSortBy # readListPrec :: ReadPrec [FaceSearchSortBy] #
Show FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods showsPrec :: Int -> FaceSearchSortBy -> ShowS # show :: FaceSearchSortBy -> String # showList :: [FaceSearchSortBy] -> ShowS #
NFData FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods rnf :: FaceSearchSortBy -> () #
Eq FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods (==) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (/=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool #
Ord FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods compare :: FaceSearchSortBy -> FaceSearchSortBy -> Ordering # (<) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (<=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (>) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # (>=) :: FaceSearchSortBy -> FaceSearchSortBy -> Bool # max :: FaceSearchSortBy -> FaceSearchSortBy -> FaceSearchSortBy # min :: FaceSearchSortBy -> FaceSearchSortBy -> FaceSearchSortBy #
Hashable FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy Methods hashWithSalt :: Int -> FaceSearchSortBy -> Int # hash :: FaceSearchSortBy -> Int #
type Rep FaceSearchSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSortBy type Rep FaceSearchSortBy = D1 ('MetaData "FaceSearchSortBy" "Amazonka.Rekognition.Types.FaceSearchSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "FaceSearchSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFaceSearchSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

GenderType

newtype GenderType Source #

Constructors

GenderType'
Fields fromGenderType :: Text

Bundled Patterns

pattern GenderType_Female :: GenderType
pattern GenderType_Male :: GenderType

Instances

Instances details

FromJSON GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods parseJSON :: Value -> Parser GenderType # parseJSONList :: Value -> Parser [GenderType] #
FromJSONKey GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods fromJSONKey :: FromJSONKeyFunction GenderType # fromJSONKeyList :: FromJSONKeyFunction [GenderType] #
ToJSON GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toJSON :: GenderType -> Value # toEncoding :: GenderType -> Encoding # toJSONList :: [GenderType] -> Value # toEncodingList :: [GenderType] -> Encoding #
ToJSONKey GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toJSONKey :: ToJSONKeyFunction GenderType # toJSONKeyList :: ToJSONKeyFunction [GenderType] #
ToByteString GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toBS :: GenderType -> ByteString #
ToHeader GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toHeader :: HeaderName -> GenderType -> [Header] #
ToLog GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods build :: GenderType -> ByteStringBuilder #
ToQuery GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toQuery :: GenderType -> QueryString #
FromText GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods fromText :: Text -> Either String GenderType #
ToText GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toText :: GenderType -> Text #
FromXML GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods parseXML :: [Node] -> Either String GenderType #
ToXML GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods toXML :: GenderType -> XML #
Generic GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Associated Types type Rep GenderType :: Type -> Type # Methods from :: GenderType -> Rep GenderType x # to :: Rep GenderType x -> GenderType #
Read GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods readsPrec :: Int -> ReadS GenderType # readList :: ReadS [GenderType] # readPrec :: ReadPrec GenderType # readListPrec :: ReadPrec [GenderType] #
Show GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods showsPrec :: Int -> GenderType -> ShowS # show :: GenderType -> String # showList :: [GenderType] -> ShowS #
NFData GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods rnf :: GenderType -> () #
Eq GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods (==) :: GenderType -> GenderType -> Bool # (/=) :: GenderType -> GenderType -> Bool #
Ord GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods compare :: GenderType -> GenderType -> Ordering # (<) :: GenderType -> GenderType -> Bool # (<=) :: GenderType -> GenderType -> Bool # (>) :: GenderType -> GenderType -> Bool # (>=) :: GenderType -> GenderType -> Bool # max :: GenderType -> GenderType -> GenderType # min :: GenderType -> GenderType -> GenderType #
Hashable GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType Methods hashWithSalt :: Int -> GenderType -> Int # hash :: GenderType -> Int #
type Rep GenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.GenderType type Rep GenderType = D1 ('MetaData "GenderType" "Amazonka.Rekognition.Types.GenderType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "GenderType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromGenderType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

KnownGenderType

newtype KnownGenderType Source #

A list of enum string of possible gender values that Celebrity returns.

Constructors

KnownGenderType'
Fields fromKnownGenderType :: Text

Bundled Patterns

pattern KnownGenderType_Female :: KnownGenderType
pattern KnownGenderType_Male :: KnownGenderType
pattern KnownGenderType_Nonbinary :: KnownGenderType
pattern KnownGenderType_Unlisted :: KnownGenderType

Instances

Instances details

FromJSON KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods parseJSON :: Value -> Parser KnownGenderType # parseJSONList :: Value -> Parser [KnownGenderType] #
FromJSONKey KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods fromJSONKey :: FromJSONKeyFunction KnownGenderType # fromJSONKeyList :: FromJSONKeyFunction [KnownGenderType] #
ToJSON KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toJSON :: KnownGenderType -> Value # toEncoding :: KnownGenderType -> Encoding # toJSONList :: [KnownGenderType] -> Value # toEncodingList :: [KnownGenderType] -> Encoding #
ToJSONKey KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toJSONKey :: ToJSONKeyFunction KnownGenderType # toJSONKeyList :: ToJSONKeyFunction [KnownGenderType] #
ToByteString KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toBS :: KnownGenderType -> ByteString #
ToHeader KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toHeader :: HeaderName -> KnownGenderType -> [Header] #
ToLog KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods build :: KnownGenderType -> ByteStringBuilder #
ToQuery KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toQuery :: KnownGenderType -> QueryString #
FromText KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods fromText :: Text -> Either String KnownGenderType #
ToText KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toText :: KnownGenderType -> Text #
FromXML KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods parseXML :: [Node] -> Either String KnownGenderType #
ToXML KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods toXML :: KnownGenderType -> XML #
Generic KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Associated Types type Rep KnownGenderType :: Type -> Type # Methods from :: KnownGenderType -> Rep KnownGenderType x # to :: Rep KnownGenderType x -> KnownGenderType #
Read KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods readsPrec :: Int -> ReadS KnownGenderType # readList :: ReadS [KnownGenderType] # readPrec :: ReadPrec KnownGenderType # readListPrec :: ReadPrec [KnownGenderType] #
Show KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods showsPrec :: Int -> KnownGenderType -> ShowS # show :: KnownGenderType -> String # showList :: [KnownGenderType] -> ShowS #
NFData KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods rnf :: KnownGenderType -> () #
Eq KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods (==) :: KnownGenderType -> KnownGenderType -> Bool # (/=) :: KnownGenderType -> KnownGenderType -> Bool #
Ord KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods compare :: KnownGenderType -> KnownGenderType -> Ordering # (<) :: KnownGenderType -> KnownGenderType -> Bool # (<=) :: KnownGenderType -> KnownGenderType -> Bool # (>) :: KnownGenderType -> KnownGenderType -> Bool # (>=) :: KnownGenderType -> KnownGenderType -> Bool # max :: KnownGenderType -> KnownGenderType -> KnownGenderType # min :: KnownGenderType -> KnownGenderType -> KnownGenderType #
Hashable KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType Methods hashWithSalt :: Int -> KnownGenderType -> Int # hash :: KnownGenderType -> Int #
type Rep KnownGenderType Source #
Instance details Defined in Amazonka.Rekognition.Types.KnownGenderType type Rep KnownGenderType = D1 ('MetaData "KnownGenderType" "Amazonka.Rekognition.Types.KnownGenderType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "KnownGenderType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromKnownGenderType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionAggregateBy

newtype LabelDetectionAggregateBy Source #

Constructors

LabelDetectionAggregateBy'
Fields fromLabelDetectionAggregateBy :: Text

Bundled Patterns

pattern LabelDetectionAggregateBy_SEGMENTS :: LabelDetectionAggregateBy
pattern LabelDetectionAggregateBy_TIMESTAMPS :: LabelDetectionAggregateBy

Instances

Instances details

FromJSON LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods parseJSON :: Value -> Parser LabelDetectionAggregateBy # parseJSONList :: Value -> Parser [LabelDetectionAggregateBy] #
FromJSONKey LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionAggregateBy # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionAggregateBy] #
ToJSON LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toJSON :: LabelDetectionAggregateBy -> Value # toEncoding :: LabelDetectionAggregateBy -> Encoding # toJSONList :: [LabelDetectionAggregateBy] -> Value # toEncodingList :: [LabelDetectionAggregateBy] -> Encoding #
ToJSONKey LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toJSONKey :: ToJSONKeyFunction LabelDetectionAggregateBy # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionAggregateBy] #
ToByteString LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toBS :: LabelDetectionAggregateBy -> ByteString #
ToHeader LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toHeader :: HeaderName -> LabelDetectionAggregateBy -> [Header] #
ToLog LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods build :: LabelDetectionAggregateBy -> ByteStringBuilder #
ToQuery LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toQuery :: LabelDetectionAggregateBy -> QueryString #
FromText LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods fromText :: Text -> Either String LabelDetectionAggregateBy #
ToText LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toText :: LabelDetectionAggregateBy -> Text #
FromXML LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods parseXML :: [Node] -> Either String LabelDetectionAggregateBy #
ToXML LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods toXML :: LabelDetectionAggregateBy -> XML #
Generic LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Associated Types type Rep LabelDetectionAggregateBy :: Type -> Type # Methods from :: LabelDetectionAggregateBy -> Rep LabelDetectionAggregateBy x # to :: Rep LabelDetectionAggregateBy x -> LabelDetectionAggregateBy #
Read LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods readsPrec :: Int -> ReadS LabelDetectionAggregateBy # readList :: ReadS [LabelDetectionAggregateBy] # readPrec :: ReadPrec LabelDetectionAggregateBy # readListPrec :: ReadPrec [LabelDetectionAggregateBy] #
Show LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods showsPrec :: Int -> LabelDetectionAggregateBy -> ShowS # show :: LabelDetectionAggregateBy -> String # showList :: [LabelDetectionAggregateBy] -> ShowS #
NFData LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods rnf :: LabelDetectionAggregateBy -> () #
Eq LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods (==) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (/=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool #
Ord LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods compare :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Ordering # (<) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (<=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (>) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # (>=) :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> Bool # max :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> LabelDetectionAggregateBy # min :: LabelDetectionAggregateBy -> LabelDetectionAggregateBy -> LabelDetectionAggregateBy #
Hashable LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy Methods hashWithSalt :: Int -> LabelDetectionAggregateBy -> Int # hash :: LabelDetectionAggregateBy -> Int #
type Rep LabelDetectionAggregateBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionAggregateBy type Rep LabelDetectionAggregateBy = D1 ('MetaData "LabelDetectionAggregateBy" "Amazonka.Rekognition.Types.LabelDetectionAggregateBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionAggregateBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionAggregateBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionFeatureName

newtype LabelDetectionFeatureName Source #

Constructors

LabelDetectionFeatureName'
Fields fromLabelDetectionFeatureName :: Text

Bundled Patterns

pattern LabelDetectionFeatureName_GENERAL_LABELS :: LabelDetectionFeatureName

Instances

Instances details

FromJSON LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods parseJSON :: Value -> Parser LabelDetectionFeatureName # parseJSONList :: Value -> Parser [LabelDetectionFeatureName] #
FromJSONKey LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionFeatureName # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionFeatureName] #
ToJSON LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toJSON :: LabelDetectionFeatureName -> Value # toEncoding :: LabelDetectionFeatureName -> Encoding # toJSONList :: [LabelDetectionFeatureName] -> Value # toEncodingList :: [LabelDetectionFeatureName] -> Encoding #
ToJSONKey LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toJSONKey :: ToJSONKeyFunction LabelDetectionFeatureName # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionFeatureName] #
ToByteString LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toBS :: LabelDetectionFeatureName -> ByteString #
ToHeader LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toHeader :: HeaderName -> LabelDetectionFeatureName -> [Header] #
ToLog LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods build :: LabelDetectionFeatureName -> ByteStringBuilder #
ToQuery LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toQuery :: LabelDetectionFeatureName -> QueryString #
FromText LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods fromText :: Text -> Either String LabelDetectionFeatureName #
ToText LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toText :: LabelDetectionFeatureName -> Text #
FromXML LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods parseXML :: [Node] -> Either String LabelDetectionFeatureName #
ToXML LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods toXML :: LabelDetectionFeatureName -> XML #
Generic LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Associated Types type Rep LabelDetectionFeatureName :: Type -> Type # Methods from :: LabelDetectionFeatureName -> Rep LabelDetectionFeatureName x # to :: Rep LabelDetectionFeatureName x -> LabelDetectionFeatureName #
Read LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods readsPrec :: Int -> ReadS LabelDetectionFeatureName # readList :: ReadS [LabelDetectionFeatureName] # readPrec :: ReadPrec LabelDetectionFeatureName # readListPrec :: ReadPrec [LabelDetectionFeatureName] #
Show LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods showsPrec :: Int -> LabelDetectionFeatureName -> ShowS # show :: LabelDetectionFeatureName -> String # showList :: [LabelDetectionFeatureName] -> ShowS #
NFData LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods rnf :: LabelDetectionFeatureName -> () #
Eq LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods (==) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (/=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool #
Ord LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods compare :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Ordering # (<) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (<=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (>) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # (>=) :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> Bool # max :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> LabelDetectionFeatureName # min :: LabelDetectionFeatureName -> LabelDetectionFeatureName -> LabelDetectionFeatureName #
Hashable LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName Methods hashWithSalt :: Int -> LabelDetectionFeatureName -> Int # hash :: LabelDetectionFeatureName -> Int #
type Rep LabelDetectionFeatureName Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionFeatureName type Rep LabelDetectionFeatureName = D1 ('MetaData "LabelDetectionFeatureName" "Amazonka.Rekognition.Types.LabelDetectionFeatureName" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionFeatureName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelDetectionSortBy

newtype LabelDetectionSortBy Source #

Constructors

LabelDetectionSortBy'
Fields fromLabelDetectionSortBy :: Text

Bundled Patterns

pattern LabelDetectionSortBy_NAME :: LabelDetectionSortBy
pattern LabelDetectionSortBy_TIMESTAMP :: LabelDetectionSortBy

Instances

Instances details

FromJSON LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods parseJSON :: Value -> Parser LabelDetectionSortBy # parseJSONList :: Value -> Parser [LabelDetectionSortBy] #
FromJSONKey LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods fromJSONKey :: FromJSONKeyFunction LabelDetectionSortBy # fromJSONKeyList :: FromJSONKeyFunction [LabelDetectionSortBy] #
ToJSON LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toJSON :: LabelDetectionSortBy -> Value # toEncoding :: LabelDetectionSortBy -> Encoding # toJSONList :: [LabelDetectionSortBy] -> Value # toEncodingList :: [LabelDetectionSortBy] -> Encoding #
ToJSONKey LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toJSONKey :: ToJSONKeyFunction LabelDetectionSortBy # toJSONKeyList :: ToJSONKeyFunction [LabelDetectionSortBy] #
ToByteString LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toBS :: LabelDetectionSortBy -> ByteString #
ToHeader LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toHeader :: HeaderName -> LabelDetectionSortBy -> [Header] #
ToLog LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods build :: LabelDetectionSortBy -> ByteStringBuilder #
ToQuery LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toQuery :: LabelDetectionSortBy -> QueryString #
FromText LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods fromText :: Text -> Either String LabelDetectionSortBy #
ToText LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toText :: LabelDetectionSortBy -> Text #
FromXML LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods parseXML :: [Node] -> Either String LabelDetectionSortBy #
ToXML LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods toXML :: LabelDetectionSortBy -> XML #
Generic LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Associated Types type Rep LabelDetectionSortBy :: Type -> Type # Methods from :: LabelDetectionSortBy -> Rep LabelDetectionSortBy x # to :: Rep LabelDetectionSortBy x -> LabelDetectionSortBy #
Read LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods readsPrec :: Int -> ReadS LabelDetectionSortBy # readList :: ReadS [LabelDetectionSortBy] # readPrec :: ReadPrec LabelDetectionSortBy # readListPrec :: ReadPrec [LabelDetectionSortBy] #
Show LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods showsPrec :: Int -> LabelDetectionSortBy -> ShowS # show :: LabelDetectionSortBy -> String # showList :: [LabelDetectionSortBy] -> ShowS #
NFData LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods rnf :: LabelDetectionSortBy -> () #
Eq LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods (==) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (/=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool #
Ord LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods compare :: LabelDetectionSortBy -> LabelDetectionSortBy -> Ordering # (<) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (<=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (>) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # (>=) :: LabelDetectionSortBy -> LabelDetectionSortBy -> Bool # max :: LabelDetectionSortBy -> LabelDetectionSortBy -> LabelDetectionSortBy # min :: LabelDetectionSortBy -> LabelDetectionSortBy -> LabelDetectionSortBy #
Hashable LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy Methods hashWithSalt :: Int -> LabelDetectionSortBy -> Int # hash :: LabelDetectionSortBy -> Int #
type Rep LabelDetectionSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSortBy type Rep LabelDetectionSortBy = D1 ('MetaData "LabelDetectionSortBy" "Amazonka.Rekognition.Types.LabelDetectionSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LabelDetectionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelDetectionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LandmarkType

newtype LandmarkType Source #

Constructors

LandmarkType'
Fields fromLandmarkType :: Text

Bundled Patterns

pattern LandmarkType_ChinBottom :: LandmarkType
pattern LandmarkType_EyeLeft :: LandmarkType
pattern LandmarkType_EyeRight :: LandmarkType
pattern LandmarkType_LeftEyeBrowLeft :: LandmarkType
pattern LandmarkType_LeftEyeBrowRight :: LandmarkType
pattern LandmarkType_LeftEyeBrowUp :: LandmarkType
pattern LandmarkType_LeftEyeDown :: LandmarkType
pattern LandmarkType_LeftEyeLeft :: LandmarkType
pattern LandmarkType_LeftEyeRight :: LandmarkType
pattern LandmarkType_LeftEyeUp :: LandmarkType
pattern LandmarkType_LeftPupil :: LandmarkType
pattern LandmarkType_MidJawlineLeft :: LandmarkType
pattern LandmarkType_MidJawlineRight :: LandmarkType
pattern LandmarkType_MouthDown :: LandmarkType
pattern LandmarkType_MouthLeft :: LandmarkType
pattern LandmarkType_MouthRight :: LandmarkType
pattern LandmarkType_MouthUp :: LandmarkType
pattern LandmarkType_Nose :: LandmarkType
pattern LandmarkType_NoseLeft :: LandmarkType
pattern LandmarkType_NoseRight :: LandmarkType
pattern LandmarkType_RightEyeBrowLeft :: LandmarkType
pattern LandmarkType_RightEyeBrowRight :: LandmarkType
pattern LandmarkType_RightEyeBrowUp :: LandmarkType
pattern LandmarkType_RightEyeDown :: LandmarkType
pattern LandmarkType_RightEyeLeft :: LandmarkType
pattern LandmarkType_RightEyeRight :: LandmarkType
pattern LandmarkType_RightEyeUp :: LandmarkType
pattern LandmarkType_RightPupil :: LandmarkType
pattern LandmarkType_UpperJawlineLeft :: LandmarkType
pattern LandmarkType_UpperJawlineRight :: LandmarkType

Instances

Instances details

FromJSON LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods parseJSON :: Value -> Parser LandmarkType # parseJSONList :: Value -> Parser [LandmarkType] #
FromJSONKey LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods fromJSONKey :: FromJSONKeyFunction LandmarkType # fromJSONKeyList :: FromJSONKeyFunction [LandmarkType] #
ToJSON LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toJSON :: LandmarkType -> Value # toEncoding :: LandmarkType -> Encoding # toJSONList :: [LandmarkType] -> Value # toEncodingList :: [LandmarkType] -> Encoding #
ToJSONKey LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toJSONKey :: ToJSONKeyFunction LandmarkType # toJSONKeyList :: ToJSONKeyFunction [LandmarkType] #
ToByteString LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toBS :: LandmarkType -> ByteString #
ToHeader LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toHeader :: HeaderName -> LandmarkType -> [Header] #
ToLog LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods build :: LandmarkType -> ByteStringBuilder #
ToQuery LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toQuery :: LandmarkType -> QueryString #
FromText LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods fromText :: Text -> Either String LandmarkType #
ToText LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toText :: LandmarkType -> Text #
FromXML LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods parseXML :: [Node] -> Either String LandmarkType #
ToXML LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods toXML :: LandmarkType -> XML #
Generic LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Associated Types type Rep LandmarkType :: Type -> Type # Methods from :: LandmarkType -> Rep LandmarkType x # to :: Rep LandmarkType x -> LandmarkType #
Read LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods readsPrec :: Int -> ReadS LandmarkType # readList :: ReadS [LandmarkType] # readPrec :: ReadPrec LandmarkType # readListPrec :: ReadPrec [LandmarkType] #
Show LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods showsPrec :: Int -> LandmarkType -> ShowS # show :: LandmarkType -> String # showList :: [LandmarkType] -> ShowS #
NFData LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods rnf :: LandmarkType -> () #
Eq LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods (==) :: LandmarkType -> LandmarkType -> Bool # (/=) :: LandmarkType -> LandmarkType -> Bool #
Ord LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods compare :: LandmarkType -> LandmarkType -> Ordering # (<) :: LandmarkType -> LandmarkType -> Bool # (<=) :: LandmarkType -> LandmarkType -> Bool # (>) :: LandmarkType -> LandmarkType -> Bool # (>=) :: LandmarkType -> LandmarkType -> Bool # max :: LandmarkType -> LandmarkType -> LandmarkType # min :: LandmarkType -> LandmarkType -> LandmarkType #
Hashable LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType Methods hashWithSalt :: Int -> LandmarkType -> Int # hash :: LandmarkType -> Int #
type Rep LandmarkType Source #
Instance details Defined in Amazonka.Rekognition.Types.LandmarkType type Rep LandmarkType = D1 ('MetaData "LandmarkType" "Amazonka.Rekognition.Types.LandmarkType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "LandmarkType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLandmarkType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OrientationCorrection

newtype OrientationCorrection Source #

Constructors

OrientationCorrection'
Fields fromOrientationCorrection :: Text

Bundled Patterns

pattern OrientationCorrection_ROTATE_0 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_180 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_270 :: OrientationCorrection
pattern OrientationCorrection_ROTATE_90 :: OrientationCorrection

Instances

Instances details

FromJSON OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods parseJSON :: Value -> Parser OrientationCorrection # parseJSONList :: Value -> Parser [OrientationCorrection] #
FromJSONKey OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods fromJSONKey :: FromJSONKeyFunction OrientationCorrection # fromJSONKeyList :: FromJSONKeyFunction [OrientationCorrection] #
ToJSON OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toJSON :: OrientationCorrection -> Value # toEncoding :: OrientationCorrection -> Encoding # toJSONList :: [OrientationCorrection] -> Value # toEncodingList :: [OrientationCorrection] -> Encoding #
ToJSONKey OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toJSONKey :: ToJSONKeyFunction OrientationCorrection # toJSONKeyList :: ToJSONKeyFunction [OrientationCorrection] #
ToByteString OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toBS :: OrientationCorrection -> ByteString #
ToHeader OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toHeader :: HeaderName -> OrientationCorrection -> [Header] #
ToLog OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods build :: OrientationCorrection -> ByteStringBuilder #
ToQuery OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toQuery :: OrientationCorrection -> QueryString #
FromText OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods fromText :: Text -> Either String OrientationCorrection #
ToText OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toText :: OrientationCorrection -> Text #
FromXML OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods parseXML :: [Node] -> Either String OrientationCorrection #
ToXML OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods toXML :: OrientationCorrection -> XML #
Generic OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Associated Types type Rep OrientationCorrection :: Type -> Type # Methods from :: OrientationCorrection -> Rep OrientationCorrection x # to :: Rep OrientationCorrection x -> OrientationCorrection #
Read OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods readsPrec :: Int -> ReadS OrientationCorrection # readList :: ReadS [OrientationCorrection] # readPrec :: ReadPrec OrientationCorrection # readListPrec :: ReadPrec [OrientationCorrection] #
Show OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods showsPrec :: Int -> OrientationCorrection -> ShowS # show :: OrientationCorrection -> String # showList :: [OrientationCorrection] -> ShowS #
NFData OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods rnf :: OrientationCorrection -> () #
Eq OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods (==) :: OrientationCorrection -> OrientationCorrection -> Bool # (/=) :: OrientationCorrection -> OrientationCorrection -> Bool #
Ord OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods compare :: OrientationCorrection -> OrientationCorrection -> Ordering # (<) :: OrientationCorrection -> OrientationCorrection -> Bool # (<=) :: OrientationCorrection -> OrientationCorrection -> Bool # (>) :: OrientationCorrection -> OrientationCorrection -> Bool # (>=) :: OrientationCorrection -> OrientationCorrection -> Bool # max :: OrientationCorrection -> OrientationCorrection -> OrientationCorrection # min :: OrientationCorrection -> OrientationCorrection -> OrientationCorrection #
Hashable OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection Methods hashWithSalt :: Int -> OrientationCorrection -> Int # hash :: OrientationCorrection -> Int #
type Rep OrientationCorrection Source #
Instance details Defined in Amazonka.Rekognition.Types.OrientationCorrection type Rep OrientationCorrection = D1 ('MetaData "OrientationCorrection" "Amazonka.Rekognition.Types.OrientationCorrection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "OrientationCorrection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOrientationCorrection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PersonTrackingSortBy

newtype PersonTrackingSortBy Source #

Constructors

PersonTrackingSortBy'
Fields fromPersonTrackingSortBy :: Text

Bundled Patterns

pattern PersonTrackingSortBy_INDEX :: PersonTrackingSortBy
pattern PersonTrackingSortBy_TIMESTAMP :: PersonTrackingSortBy

Instances

Instances details

FromJSON PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods parseJSON :: Value -> Parser PersonTrackingSortBy # parseJSONList :: Value -> Parser [PersonTrackingSortBy] #
FromJSONKey PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods fromJSONKey :: FromJSONKeyFunction PersonTrackingSortBy # fromJSONKeyList :: FromJSONKeyFunction [PersonTrackingSortBy] #
ToJSON PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toJSON :: PersonTrackingSortBy -> Value # toEncoding :: PersonTrackingSortBy -> Encoding # toJSONList :: [PersonTrackingSortBy] -> Value # toEncodingList :: [PersonTrackingSortBy] -> Encoding #
ToJSONKey PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toJSONKey :: ToJSONKeyFunction PersonTrackingSortBy # toJSONKeyList :: ToJSONKeyFunction [PersonTrackingSortBy] #
ToByteString PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toBS :: PersonTrackingSortBy -> ByteString #
ToHeader PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toHeader :: HeaderName -> PersonTrackingSortBy -> [Header] #
ToLog PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods build :: PersonTrackingSortBy -> ByteStringBuilder #
ToQuery PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toQuery :: PersonTrackingSortBy -> QueryString #
FromText PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods fromText :: Text -> Either String PersonTrackingSortBy #
ToText PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toText :: PersonTrackingSortBy -> Text #
FromXML PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods parseXML :: [Node] -> Either String PersonTrackingSortBy #
ToXML PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods toXML :: PersonTrackingSortBy -> XML #
Generic PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Associated Types type Rep PersonTrackingSortBy :: Type -> Type # Methods from :: PersonTrackingSortBy -> Rep PersonTrackingSortBy x # to :: Rep PersonTrackingSortBy x -> PersonTrackingSortBy #
Read PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods readsPrec :: Int -> ReadS PersonTrackingSortBy # readList :: ReadS [PersonTrackingSortBy] # readPrec :: ReadPrec PersonTrackingSortBy # readListPrec :: ReadPrec [PersonTrackingSortBy] #
Show PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods showsPrec :: Int -> PersonTrackingSortBy -> ShowS # show :: PersonTrackingSortBy -> String # showList :: [PersonTrackingSortBy] -> ShowS #
NFData PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods rnf :: PersonTrackingSortBy -> () #
Eq PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods (==) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (/=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool #
Ord PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods compare :: PersonTrackingSortBy -> PersonTrackingSortBy -> Ordering # (<) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (<=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (>) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # (>=) :: PersonTrackingSortBy -> PersonTrackingSortBy -> Bool # max :: PersonTrackingSortBy -> PersonTrackingSortBy -> PersonTrackingSortBy # min :: PersonTrackingSortBy -> PersonTrackingSortBy -> PersonTrackingSortBy #
Hashable PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy Methods hashWithSalt :: Int -> PersonTrackingSortBy -> Int # hash :: PersonTrackingSortBy -> Int #
type Rep PersonTrackingSortBy Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonTrackingSortBy type Rep PersonTrackingSortBy = D1 ('MetaData "PersonTrackingSortBy" "Amazonka.Rekognition.Types.PersonTrackingSortBy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "PersonTrackingSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPersonTrackingSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectStatus

newtype ProjectStatus Source #

Constructors

ProjectStatus'
Fields fromProjectStatus :: Text

Bundled Patterns

pattern ProjectStatus_CREATED :: ProjectStatus
pattern ProjectStatus_CREATING :: ProjectStatus
pattern ProjectStatus_DELETING :: ProjectStatus

Instances

Instances details

FromJSON ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods parseJSON :: Value -> Parser ProjectStatus # parseJSONList :: Value -> Parser [ProjectStatus] #
FromJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods fromJSONKey :: FromJSONKeyFunction ProjectStatus # fromJSONKeyList :: FromJSONKeyFunction [ProjectStatus] #
ToJSON ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toJSON :: ProjectStatus -> Value # toEncoding :: ProjectStatus -> Encoding # toJSONList :: [ProjectStatus] -> Value # toEncodingList :: [ProjectStatus] -> Encoding #
ToJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toJSONKey :: ToJSONKeyFunction ProjectStatus # toJSONKeyList :: ToJSONKeyFunction [ProjectStatus] #
ToByteString ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toBS :: ProjectStatus -> ByteString #
ToHeader ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toHeader :: HeaderName -> ProjectStatus -> [Header] #
ToLog ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods build :: ProjectStatus -> ByteStringBuilder #
ToQuery ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toQuery :: ProjectStatus -> QueryString #
FromText ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods fromText :: Text -> Either String ProjectStatus #
ToText ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toText :: ProjectStatus -> Text #
FromXML ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods parseXML :: [Node] -> Either String ProjectStatus #
ToXML ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods toXML :: ProjectStatus -> XML #
Generic ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Associated Types type Rep ProjectStatus :: Type -> Type # Methods from :: ProjectStatus -> Rep ProjectStatus x # to :: Rep ProjectStatus x -> ProjectStatus #
Read ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods readsPrec :: Int -> ReadS ProjectStatus # readList :: ReadS [ProjectStatus] # readPrec :: ReadPrec ProjectStatus # readListPrec :: ReadPrec [ProjectStatus] #
Show ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods showsPrec :: Int -> ProjectStatus -> ShowS # show :: ProjectStatus -> String # showList :: [ProjectStatus] -> ShowS #
NFData ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods rnf :: ProjectStatus -> () #
Eq ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods (==) :: ProjectStatus -> ProjectStatus -> Bool # (/=) :: ProjectStatus -> ProjectStatus -> Bool #
Ord ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods compare :: ProjectStatus -> ProjectStatus -> Ordering # (<) :: ProjectStatus -> ProjectStatus -> Bool # (<=) :: ProjectStatus -> ProjectStatus -> Bool # (>) :: ProjectStatus -> ProjectStatus -> Bool # (>=) :: ProjectStatus -> ProjectStatus -> Bool # max :: ProjectStatus -> ProjectStatus -> ProjectStatus # min :: ProjectStatus -> ProjectStatus -> ProjectStatus #
Hashable ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus Methods hashWithSalt :: Int -> ProjectStatus -> Int # hash :: ProjectStatus -> Int #
type Rep ProjectStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectStatus type Rep ProjectStatus = D1 ('MetaData "ProjectStatus" "Amazonka.Rekognition.Types.ProjectStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProjectStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectVersionStatus

newtype ProjectVersionStatus Source #

Constructors

ProjectVersionStatus'
Fields fromProjectVersionStatus :: Text

Bundled Patterns

pattern ProjectVersionStatus_COPYING_COMPLETED :: ProjectVersionStatus
pattern ProjectVersionStatus_COPYING_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_COPYING_IN_PROGRESS :: ProjectVersionStatus
pattern ProjectVersionStatus_DELETING :: ProjectVersionStatus
pattern ProjectVersionStatus_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_RUNNING :: ProjectVersionStatus
pattern ProjectVersionStatus_STARTING :: ProjectVersionStatus
pattern ProjectVersionStatus_STOPPED :: ProjectVersionStatus
pattern ProjectVersionStatus_STOPPING :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_COMPLETED :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_FAILED :: ProjectVersionStatus
pattern ProjectVersionStatus_TRAINING_IN_PROGRESS :: ProjectVersionStatus

Instances

Instances details

FromJSON ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods parseJSON :: Value -> Parser ProjectVersionStatus # parseJSONList :: Value -> Parser [ProjectVersionStatus] #
FromJSONKey ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods fromJSONKey :: FromJSONKeyFunction ProjectVersionStatus # fromJSONKeyList :: FromJSONKeyFunction [ProjectVersionStatus] #
ToJSON ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toJSON :: ProjectVersionStatus -> Value # toEncoding :: ProjectVersionStatus -> Encoding # toJSONList :: [ProjectVersionStatus] -> Value # toEncodingList :: [ProjectVersionStatus] -> Encoding #
ToJSONKey ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toJSONKey :: ToJSONKeyFunction ProjectVersionStatus # toJSONKeyList :: ToJSONKeyFunction [ProjectVersionStatus] #
ToByteString ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toBS :: ProjectVersionStatus -> ByteString #
ToHeader ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toHeader :: HeaderName -> ProjectVersionStatus -> [Header] #
ToLog ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods build :: ProjectVersionStatus -> ByteStringBuilder #
ToQuery ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toQuery :: ProjectVersionStatus -> QueryString #
FromText ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods fromText :: Text -> Either String ProjectVersionStatus #
ToText ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toText :: ProjectVersionStatus -> Text #
FromXML ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods parseXML :: [Node] -> Either String ProjectVersionStatus #
ToXML ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods toXML :: ProjectVersionStatus -> XML #
Generic ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Associated Types type Rep ProjectVersionStatus :: Type -> Type # Methods from :: ProjectVersionStatus -> Rep ProjectVersionStatus x # to :: Rep ProjectVersionStatus x -> ProjectVersionStatus #
Read ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods readsPrec :: Int -> ReadS ProjectVersionStatus # readList :: ReadS [ProjectVersionStatus] # readPrec :: ReadPrec ProjectVersionStatus # readListPrec :: ReadPrec [ProjectVersionStatus] #
Show ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods showsPrec :: Int -> ProjectVersionStatus -> ShowS # show :: ProjectVersionStatus -> String # showList :: [ProjectVersionStatus] -> ShowS #
NFData ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods rnf :: ProjectVersionStatus -> () #
Eq ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods (==) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (/=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool #
Ord ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods compare :: ProjectVersionStatus -> ProjectVersionStatus -> Ordering # (<) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (<=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (>) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # (>=) :: ProjectVersionStatus -> ProjectVersionStatus -> Bool # max :: ProjectVersionStatus -> ProjectVersionStatus -> ProjectVersionStatus # min :: ProjectVersionStatus -> ProjectVersionStatus -> ProjectVersionStatus #
Hashable ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus Methods hashWithSalt :: Int -> ProjectVersionStatus -> Int # hash :: ProjectVersionStatus -> Int #
type Rep ProjectVersionStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionStatus type Rep ProjectVersionStatus = D1 ('MetaData "ProjectVersionStatus" "Amazonka.Rekognition.Types.ProjectVersionStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProjectVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProtectiveEquipmentType

newtype ProtectiveEquipmentType Source #

Constructors

ProtectiveEquipmentType'
Fields fromProtectiveEquipmentType :: Text

Bundled Patterns

pattern ProtectiveEquipmentType_FACE_COVER :: ProtectiveEquipmentType
pattern ProtectiveEquipmentType_HAND_COVER :: ProtectiveEquipmentType
pattern ProtectiveEquipmentType_HEAD_COVER :: ProtectiveEquipmentType

Instances

Instances details

FromJSON ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods parseJSON :: Value -> Parser ProtectiveEquipmentType # parseJSONList :: Value -> Parser [ProtectiveEquipmentType] #
FromJSONKey ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods fromJSONKey :: FromJSONKeyFunction ProtectiveEquipmentType # fromJSONKeyList :: FromJSONKeyFunction [ProtectiveEquipmentType] #
ToJSON ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toJSON :: ProtectiveEquipmentType -> Value # toEncoding :: ProtectiveEquipmentType -> Encoding # toJSONList :: [ProtectiveEquipmentType] -> Value # toEncodingList :: [ProtectiveEquipmentType] -> Encoding #
ToJSONKey ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toJSONKey :: ToJSONKeyFunction ProtectiveEquipmentType # toJSONKeyList :: ToJSONKeyFunction [ProtectiveEquipmentType] #
ToByteString ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toBS :: ProtectiveEquipmentType -> ByteString #
ToHeader ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toHeader :: HeaderName -> ProtectiveEquipmentType -> [Header] #
ToLog ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods build :: ProtectiveEquipmentType -> ByteStringBuilder #
ToQuery ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toQuery :: ProtectiveEquipmentType -> QueryString #
FromText ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods fromText :: Text -> Either String ProtectiveEquipmentType #
ToText ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toText :: ProtectiveEquipmentType -> Text #
FromXML ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods parseXML :: [Node] -> Either String ProtectiveEquipmentType #
ToXML ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods toXML :: ProtectiveEquipmentType -> XML #
Generic ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Associated Types type Rep ProtectiveEquipmentType :: Type -> Type # Methods from :: ProtectiveEquipmentType -> Rep ProtectiveEquipmentType x # to :: Rep ProtectiveEquipmentType x -> ProtectiveEquipmentType #
Read ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods readsPrec :: Int -> ReadS ProtectiveEquipmentType # readList :: ReadS [ProtectiveEquipmentType] # readPrec :: ReadPrec ProtectiveEquipmentType # readListPrec :: ReadPrec [ProtectiveEquipmentType] #
Show ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods showsPrec :: Int -> ProtectiveEquipmentType -> ShowS # show :: ProtectiveEquipmentType -> String # showList :: [ProtectiveEquipmentType] -> ShowS #
NFData ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods rnf :: ProtectiveEquipmentType -> () #
Eq ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods (==) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (/=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool #
Ord ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods compare :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Ordering # (<) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (<=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (>) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # (>=) :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> Bool # max :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> ProtectiveEquipmentType # min :: ProtectiveEquipmentType -> ProtectiveEquipmentType -> ProtectiveEquipmentType #
Hashable ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType Methods hashWithSalt :: Int -> ProtectiveEquipmentType -> Int # hash :: ProtectiveEquipmentType -> Int #
type Rep ProtectiveEquipmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentType type Rep ProtectiveEquipmentType = D1 ('MetaData "ProtectiveEquipmentType" "Amazonka.Rekognition.Types.ProtectiveEquipmentType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "ProtectiveEquipmentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProtectiveEquipmentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

QualityFilter

newtype QualityFilter Source #

Constructors

QualityFilter'
Fields fromQualityFilter :: Text

Bundled Patterns

pattern QualityFilter_AUTO :: QualityFilter
pattern QualityFilter_HIGH :: QualityFilter
pattern QualityFilter_LOW :: QualityFilter
pattern QualityFilter_MEDIUM :: QualityFilter
pattern QualityFilter_NONE :: QualityFilter

Instances

Instances details

FromJSON QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods parseJSON :: Value -> Parser QualityFilter # parseJSONList :: Value -> Parser [QualityFilter] #
FromJSONKey QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods fromJSONKey :: FromJSONKeyFunction QualityFilter # fromJSONKeyList :: FromJSONKeyFunction [QualityFilter] #
ToJSON QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toJSON :: QualityFilter -> Value # toEncoding :: QualityFilter -> Encoding # toJSONList :: [QualityFilter] -> Value # toEncodingList :: [QualityFilter] -> Encoding #
ToJSONKey QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toJSONKey :: ToJSONKeyFunction QualityFilter # toJSONKeyList :: ToJSONKeyFunction [QualityFilter] #
ToByteString QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toBS :: QualityFilter -> ByteString #
ToHeader QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toHeader :: HeaderName -> QualityFilter -> [Header] #
ToLog QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods build :: QualityFilter -> ByteStringBuilder #
ToQuery QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toQuery :: QualityFilter -> QueryString #
FromText QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods fromText :: Text -> Either String QualityFilter #
ToText QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toText :: QualityFilter -> Text #
FromXML QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods parseXML :: [Node] -> Either String QualityFilter #
ToXML QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods toXML :: QualityFilter -> XML #
Generic QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Associated Types type Rep QualityFilter :: Type -> Type # Methods from :: QualityFilter -> Rep QualityFilter x # to :: Rep QualityFilter x -> QualityFilter #
Read QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods readsPrec :: Int -> ReadS QualityFilter # readList :: ReadS [QualityFilter] # readPrec :: ReadPrec QualityFilter # readListPrec :: ReadPrec [QualityFilter] #
Show QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods showsPrec :: Int -> QualityFilter -> ShowS # show :: QualityFilter -> String # showList :: [QualityFilter] -> ShowS #
NFData QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods rnf :: QualityFilter -> () #
Eq QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods (==) :: QualityFilter -> QualityFilter -> Bool # (/=) :: QualityFilter -> QualityFilter -> Bool #
Ord QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods compare :: QualityFilter -> QualityFilter -> Ordering # (<) :: QualityFilter -> QualityFilter -> Bool # (<=) :: QualityFilter -> QualityFilter -> Bool # (>) :: QualityFilter -> QualityFilter -> Bool # (>=) :: QualityFilter -> QualityFilter -> Bool # max :: QualityFilter -> QualityFilter -> QualityFilter # min :: QualityFilter -> QualityFilter -> QualityFilter #
Hashable QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter Methods hashWithSalt :: Int -> QualityFilter -> Int # hash :: QualityFilter -> Int #
type Rep QualityFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.QualityFilter type Rep QualityFilter = D1 ('MetaData "QualityFilter" "Amazonka.Rekognition.Types.QualityFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "QualityFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromQualityFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Reason

newtype Reason Source #

Constructors

Reason'
Fields fromReason :: Text

Bundled Patterns

pattern Reason_EXCEEDS_MAX_FACES :: Reason
pattern Reason_EXTREME_POSE :: Reason
pattern Reason_LOW_BRIGHTNESS :: Reason
pattern Reason_LOW_CONFIDENCE :: Reason
pattern Reason_LOW_FACE_QUALITY :: Reason
pattern Reason_LOW_SHARPNESS :: Reason
pattern Reason_SMALL_BOUNDING_BOX :: Reason

Instances

Instances details

FromJSON Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods parseJSON :: Value -> Parser Reason # parseJSONList :: Value -> Parser [Reason] #
FromJSONKey Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods fromJSONKey :: FromJSONKeyFunction Reason # fromJSONKeyList :: FromJSONKeyFunction [Reason] #
ToJSON Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toJSON :: Reason -> Value # toEncoding :: Reason -> Encoding # toJSONList :: [Reason] -> Value # toEncodingList :: [Reason] -> Encoding #
ToJSONKey Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toJSONKey :: ToJSONKeyFunction Reason # toJSONKeyList :: ToJSONKeyFunction [Reason] #
ToByteString Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toBS :: Reason -> ByteString #
ToHeader Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toHeader :: HeaderName -> Reason -> [Header] #
ToLog Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods build :: Reason -> ByteStringBuilder #
ToQuery Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toQuery :: Reason -> QueryString #
FromText Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods fromText :: Text -> Either String Reason #
ToText Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toText :: Reason -> Text #
FromXML Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods parseXML :: [Node] -> Either String Reason #
ToXML Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods toXML :: Reason -> XML #
Generic Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Associated Types type Rep Reason :: Type -> Type # Methods from :: Reason -> Rep Reason x # to :: Rep Reason x -> Reason #
Read Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods readsPrec :: Int -> ReadS Reason # readList :: ReadS [Reason] # readPrec :: ReadPrec Reason # readListPrec :: ReadPrec [Reason] #
Show Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods showsPrec :: Int -> Reason -> ShowS # show :: Reason -> String # showList :: [Reason] -> ShowS #
NFData Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods rnf :: Reason -> () #
Eq Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods (==) :: Reason -> Reason -> Bool # (/=) :: Reason -> Reason -> Bool #
Ord Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods compare :: Reason -> Reason -> Ordering # (<) :: Reason -> Reason -> Bool # (<=) :: Reason -> Reason -> Bool # (>) :: Reason -> Reason -> Bool # (>=) :: Reason -> Reason -> Bool # max :: Reason -> Reason -> Reason # min :: Reason -> Reason -> Reason #
Hashable Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason Methods hashWithSalt :: Int -> Reason -> Int # hash :: Reason -> Int #
type Rep Reason Source #
Instance details Defined in Amazonka.Rekognition.Types.Reason type Rep Reason = D1 ('MetaData "Reason" "Amazonka.Rekognition.Types.Reason" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "Reason'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SegmentType

newtype SegmentType Source #

Constructors

SegmentType'
Fields fromSegmentType :: Text

Bundled Patterns

pattern SegmentType_SHOT :: SegmentType
pattern SegmentType_TECHNICAL_CUE :: SegmentType

Instances

Instances details

FromJSON SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods parseJSON :: Value -> Parser SegmentType # parseJSONList :: Value -> Parser [SegmentType] #
FromJSONKey SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods fromJSONKey :: FromJSONKeyFunction SegmentType # fromJSONKeyList :: FromJSONKeyFunction [SegmentType] #
ToJSON SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toJSON :: SegmentType -> Value # toEncoding :: SegmentType -> Encoding # toJSONList :: [SegmentType] -> Value # toEncodingList :: [SegmentType] -> Encoding #
ToJSONKey SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toJSONKey :: ToJSONKeyFunction SegmentType # toJSONKeyList :: ToJSONKeyFunction [SegmentType] #
ToByteString SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toBS :: SegmentType -> ByteString #
ToHeader SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toHeader :: HeaderName -> SegmentType -> [Header] #
ToLog SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods build :: SegmentType -> ByteStringBuilder #
ToQuery SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toQuery :: SegmentType -> QueryString #
FromText SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods fromText :: Text -> Either String SegmentType #
ToText SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toText :: SegmentType -> Text #
FromXML SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods parseXML :: [Node] -> Either String SegmentType #
ToXML SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods toXML :: SegmentType -> XML #
Generic SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Associated Types type Rep SegmentType :: Type -> Type # Methods from :: SegmentType -> Rep SegmentType x # to :: Rep SegmentType x -> SegmentType #
Read SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods readsPrec :: Int -> ReadS SegmentType # readList :: ReadS [SegmentType] # readPrec :: ReadPrec SegmentType # readListPrec :: ReadPrec [SegmentType] #
Show SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods showsPrec :: Int -> SegmentType -> ShowS # show :: SegmentType -> String # showList :: [SegmentType] -> ShowS #
NFData SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods rnf :: SegmentType -> () #
Eq SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods (==) :: SegmentType -> SegmentType -> Bool # (/=) :: SegmentType -> SegmentType -> Bool #
Ord SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods compare :: SegmentType -> SegmentType -> Ordering # (<) :: SegmentType -> SegmentType -> Bool # (<=) :: SegmentType -> SegmentType -> Bool # (>) :: SegmentType -> SegmentType -> Bool # (>=) :: SegmentType -> SegmentType -> Bool # max :: SegmentType -> SegmentType -> SegmentType # min :: SegmentType -> SegmentType -> SegmentType #
Hashable SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType Methods hashWithSalt :: Int -> SegmentType -> Int # hash :: SegmentType -> Int #
type Rep SegmentType Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentType type Rep SegmentType = D1 ('MetaData "SegmentType" "Amazonka.Rekognition.Types.SegmentType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "SegmentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSegmentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StreamProcessorParameterToDelete

newtype StreamProcessorParameterToDelete Source #

Constructors

StreamProcessorParameterToDelete'
Fields fromStreamProcessorParameterToDelete :: Text

Bundled Patterns

pattern StreamProcessorParameterToDelete_ConnectedHomeMinConfidence :: StreamProcessorParameterToDelete
pattern StreamProcessorParameterToDelete_RegionsOfInterest :: StreamProcessorParameterToDelete

Instances

Instances details

FromJSON StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods parseJSON :: Value -> Parser StreamProcessorParameterToDelete # parseJSONList :: Value -> Parser [StreamProcessorParameterToDelete] #
FromJSONKey StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods fromJSONKey :: FromJSONKeyFunction StreamProcessorParameterToDelete # fromJSONKeyList :: FromJSONKeyFunction [StreamProcessorParameterToDelete] #
ToJSON StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toJSON :: StreamProcessorParameterToDelete -> Value # toEncoding :: StreamProcessorParameterToDelete -> Encoding # toJSONList :: [StreamProcessorParameterToDelete] -> Value # toEncodingList :: [StreamProcessorParameterToDelete] -> Encoding #
ToJSONKey StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toJSONKey :: ToJSONKeyFunction StreamProcessorParameterToDelete # toJSONKeyList :: ToJSONKeyFunction [StreamProcessorParameterToDelete] #
ToByteString StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toBS :: StreamProcessorParameterToDelete -> ByteString #
ToHeader StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toHeader :: HeaderName -> StreamProcessorParameterToDelete -> [Header] #
ToLog StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods build :: StreamProcessorParameterToDelete -> ByteStringBuilder #
ToQuery StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toQuery :: StreamProcessorParameterToDelete -> QueryString #
FromText StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods fromText :: Text -> Either String StreamProcessorParameterToDelete #
ToText StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toText :: StreamProcessorParameterToDelete -> Text #
FromXML StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods parseXML :: [Node] -> Either String StreamProcessorParameterToDelete #
ToXML StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods toXML :: StreamProcessorParameterToDelete -> XML #
Generic StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Associated Types type Rep StreamProcessorParameterToDelete :: Type -> Type # Methods from :: StreamProcessorParameterToDelete -> Rep StreamProcessorParameterToDelete x # to :: Rep StreamProcessorParameterToDelete x -> StreamProcessorParameterToDelete #
Read StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods readsPrec :: Int -> ReadS StreamProcessorParameterToDelete # readList :: ReadS [StreamProcessorParameterToDelete] # readPrec :: ReadPrec StreamProcessorParameterToDelete # readListPrec :: ReadPrec [StreamProcessorParameterToDelete] #
Show StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods showsPrec :: Int -> StreamProcessorParameterToDelete -> ShowS # show :: StreamProcessorParameterToDelete -> String # showList :: [StreamProcessorParameterToDelete] -> ShowS #
NFData StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods rnf :: StreamProcessorParameterToDelete -> () #
Eq StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods (==) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (/=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool #
Ord StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods compare :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Ordering # (<) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (<=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (>) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # (>=) :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> Bool # max :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete # min :: StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete -> StreamProcessorParameterToDelete #
Hashable StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete Methods hashWithSalt :: Int -> StreamProcessorParameterToDelete -> Int # hash :: StreamProcessorParameterToDelete -> Int #
type Rep StreamProcessorParameterToDelete Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorParameterToDelete type Rep StreamProcessorParameterToDelete = D1 ('MetaData "StreamProcessorParameterToDelete" "Amazonka.Rekognition.Types.StreamProcessorParameterToDelete" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "StreamProcessorParameterToDelete'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStreamProcessorParameterToDelete") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StreamProcessorStatus

newtype StreamProcessorStatus Source #

Constructors

StreamProcessorStatus'
Fields fromStreamProcessorStatus :: Text

Bundled Patterns

pattern StreamProcessorStatus_FAILED :: StreamProcessorStatus
pattern StreamProcessorStatus_RUNNING :: StreamProcessorStatus
pattern StreamProcessorStatus_STARTING :: StreamProcessorStatus
pattern StreamProcessorStatus_STOPPED :: StreamProcessorStatus
pattern StreamProcessorStatus_STOPPING :: StreamProcessorStatus
pattern StreamProcessorStatus_UPDATING :: StreamProcessorStatus

Instances

Instances details

FromJSON StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods parseJSON :: Value -> Parser StreamProcessorStatus # parseJSONList :: Value -> Parser [StreamProcessorStatus] #
FromJSONKey StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods fromJSONKey :: FromJSONKeyFunction StreamProcessorStatus # fromJSONKeyList :: FromJSONKeyFunction [StreamProcessorStatus] #
ToJSON StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toJSON :: StreamProcessorStatus -> Value # toEncoding :: StreamProcessorStatus -> Encoding # toJSONList :: [StreamProcessorStatus] -> Value # toEncodingList :: [StreamProcessorStatus] -> Encoding #
ToJSONKey StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toJSONKey :: ToJSONKeyFunction StreamProcessorStatus # toJSONKeyList :: ToJSONKeyFunction [StreamProcessorStatus] #
ToByteString StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toBS :: StreamProcessorStatus -> ByteString #
ToHeader StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toHeader :: HeaderName -> StreamProcessorStatus -> [Header] #
ToLog StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods build :: StreamProcessorStatus -> ByteStringBuilder #
ToQuery StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toQuery :: StreamProcessorStatus -> QueryString #
FromText StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods fromText :: Text -> Either String StreamProcessorStatus #
ToText StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toText :: StreamProcessorStatus -> Text #
FromXML StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods parseXML :: [Node] -> Either String StreamProcessorStatus #
ToXML StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods toXML :: StreamProcessorStatus -> XML #
Generic StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Associated Types type Rep StreamProcessorStatus :: Type -> Type # Methods from :: StreamProcessorStatus -> Rep StreamProcessorStatus x # to :: Rep StreamProcessorStatus x -> StreamProcessorStatus #
Read StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods readsPrec :: Int -> ReadS StreamProcessorStatus # readList :: ReadS [StreamProcessorStatus] # readPrec :: ReadPrec StreamProcessorStatus # readListPrec :: ReadPrec [StreamProcessorStatus] #
Show StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods showsPrec :: Int -> StreamProcessorStatus -> ShowS # show :: StreamProcessorStatus -> String # showList :: [StreamProcessorStatus] -> ShowS #
NFData StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods rnf :: StreamProcessorStatus -> () #
Eq StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods (==) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (/=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool #
Ord StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods compare :: StreamProcessorStatus -> StreamProcessorStatus -> Ordering # (<) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (<=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (>) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # (>=) :: StreamProcessorStatus -> StreamProcessorStatus -> Bool # max :: StreamProcessorStatus -> StreamProcessorStatus -> StreamProcessorStatus # min :: StreamProcessorStatus -> StreamProcessorStatus -> StreamProcessorStatus #
Hashable StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus Methods hashWithSalt :: Int -> StreamProcessorStatus -> Int # hash :: StreamProcessorStatus -> Int #
type Rep StreamProcessorStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorStatus type Rep StreamProcessorStatus = D1 ('MetaData "StreamProcessorStatus" "Amazonka.Rekognition.Types.StreamProcessorStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "StreamProcessorStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStreamProcessorStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TechnicalCueType

newtype TechnicalCueType Source #

Constructors

TechnicalCueType'
Fields fromTechnicalCueType :: Text

Bundled Patterns

pattern TechnicalCueType_BlackFrames :: TechnicalCueType
pattern TechnicalCueType_ColorBars :: TechnicalCueType
pattern TechnicalCueType_Content :: TechnicalCueType
pattern TechnicalCueType_EndCredits :: TechnicalCueType
pattern TechnicalCueType_OpeningCredits :: TechnicalCueType
pattern TechnicalCueType_Slate :: TechnicalCueType
pattern TechnicalCueType_StudioLogo :: TechnicalCueType

Instances

Instances details

FromJSON TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods parseJSON :: Value -> Parser TechnicalCueType # parseJSONList :: Value -> Parser [TechnicalCueType] #
FromJSONKey TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods fromJSONKey :: FromJSONKeyFunction TechnicalCueType # fromJSONKeyList :: FromJSONKeyFunction [TechnicalCueType] #
ToJSON TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toJSON :: TechnicalCueType -> Value # toEncoding :: TechnicalCueType -> Encoding # toJSONList :: [TechnicalCueType] -> Value # toEncodingList :: [TechnicalCueType] -> Encoding #
ToJSONKey TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toJSONKey :: ToJSONKeyFunction TechnicalCueType # toJSONKeyList :: ToJSONKeyFunction [TechnicalCueType] #
ToByteString TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toBS :: TechnicalCueType -> ByteString #
ToHeader TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toHeader :: HeaderName -> TechnicalCueType -> [Header] #
ToLog TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods build :: TechnicalCueType -> ByteStringBuilder #
ToQuery TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toQuery :: TechnicalCueType -> QueryString #
FromText TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods fromText :: Text -> Either String TechnicalCueType #
ToText TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toText :: TechnicalCueType -> Text #
FromXML TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods parseXML :: [Node] -> Either String TechnicalCueType #
ToXML TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods toXML :: TechnicalCueType -> XML #
Generic TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Associated Types type Rep TechnicalCueType :: Type -> Type # Methods from :: TechnicalCueType -> Rep TechnicalCueType x # to :: Rep TechnicalCueType x -> TechnicalCueType #
Read TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods readsPrec :: Int -> ReadS TechnicalCueType # readList :: ReadS [TechnicalCueType] # readPrec :: ReadPrec TechnicalCueType # readListPrec :: ReadPrec [TechnicalCueType] #
Show TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods showsPrec :: Int -> TechnicalCueType -> ShowS # show :: TechnicalCueType -> String # showList :: [TechnicalCueType] -> ShowS #
NFData TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods rnf :: TechnicalCueType -> () #
Eq TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods (==) :: TechnicalCueType -> TechnicalCueType -> Bool # (/=) :: TechnicalCueType -> TechnicalCueType -> Bool #
Ord TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods compare :: TechnicalCueType -> TechnicalCueType -> Ordering # (<) :: TechnicalCueType -> TechnicalCueType -> Bool # (<=) :: TechnicalCueType -> TechnicalCueType -> Bool # (>) :: TechnicalCueType -> TechnicalCueType -> Bool # (>=) :: TechnicalCueType -> TechnicalCueType -> Bool # max :: TechnicalCueType -> TechnicalCueType -> TechnicalCueType # min :: TechnicalCueType -> TechnicalCueType -> TechnicalCueType #
Hashable TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType Methods hashWithSalt :: Int -> TechnicalCueType -> Int # hash :: TechnicalCueType -> Int #
type Rep TechnicalCueType Source #
Instance details Defined in Amazonka.Rekognition.Types.TechnicalCueType type Rep TechnicalCueType = D1 ('MetaData "TechnicalCueType" "Amazonka.Rekognition.Types.TechnicalCueType" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "TechnicalCueType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTechnicalCueType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TextTypes

newtype TextTypes Source #

Constructors

TextTypes'
Fields fromTextTypes :: Text

Bundled Patterns

pattern TextTypes_LINE :: TextTypes
pattern TextTypes_WORD :: TextTypes

Instances

Instances details

FromJSON TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods parseJSON :: Value -> Parser TextTypes # parseJSONList :: Value -> Parser [TextTypes] #
FromJSONKey TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods fromJSONKey :: FromJSONKeyFunction TextTypes # fromJSONKeyList :: FromJSONKeyFunction [TextTypes] #
ToJSON TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toJSON :: TextTypes -> Value # toEncoding :: TextTypes -> Encoding # toJSONList :: [TextTypes] -> Value # toEncodingList :: [TextTypes] -> Encoding #
ToJSONKey TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toJSONKey :: ToJSONKeyFunction TextTypes # toJSONKeyList :: ToJSONKeyFunction [TextTypes] #
ToByteString TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toBS :: TextTypes -> ByteString #
ToHeader TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toHeader :: HeaderName -> TextTypes -> [Header] #
ToLog TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods build :: TextTypes -> ByteStringBuilder #
ToQuery TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toQuery :: TextTypes -> QueryString #
FromText TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods fromText :: Text -> Either String TextTypes #
ToText TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toText :: TextTypes -> Text #
FromXML TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods parseXML :: [Node] -> Either String TextTypes #
ToXML TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods toXML :: TextTypes -> XML #
Generic TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Associated Types type Rep TextTypes :: Type -> Type # Methods from :: TextTypes -> Rep TextTypes x # to :: Rep TextTypes x -> TextTypes #
Read TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods readsPrec :: Int -> ReadS TextTypes # readList :: ReadS [TextTypes] # readPrec :: ReadPrec TextTypes # readListPrec :: ReadPrec [TextTypes] #
Show TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods showsPrec :: Int -> TextTypes -> ShowS # show :: TextTypes -> String # showList :: [TextTypes] -> ShowS #
NFData TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods rnf :: TextTypes -> () #
Eq TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods (==) :: TextTypes -> TextTypes -> Bool # (/=) :: TextTypes -> TextTypes -> Bool #
Ord TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods compare :: TextTypes -> TextTypes -> Ordering # (<) :: TextTypes -> TextTypes -> Bool # (<=) :: TextTypes -> TextTypes -> Bool # (>) :: TextTypes -> TextTypes -> Bool # (>=) :: TextTypes -> TextTypes -> Bool # max :: TextTypes -> TextTypes -> TextTypes # min :: TextTypes -> TextTypes -> TextTypes #
Hashable TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes Methods hashWithSalt :: Int -> TextTypes -> Int # hash :: TextTypes -> Int #
type Rep TextTypes Source #
Instance details Defined in Amazonka.Rekognition.Types.TextTypes type Rep TextTypes = D1 ('MetaData "TextTypes" "Amazonka.Rekognition.Types.TextTypes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "TextTypes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTextTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VideoColorRange

newtype VideoColorRange Source #

Constructors

VideoColorRange'
Fields fromVideoColorRange :: Text

Bundled Patterns

pattern VideoColorRange_FULL :: VideoColorRange
pattern VideoColorRange_LIMITED :: VideoColorRange

Instances

Instances details

FromJSON VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods parseJSON :: Value -> Parser VideoColorRange # parseJSONList :: Value -> Parser [VideoColorRange] #
FromJSONKey VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods fromJSONKey :: FromJSONKeyFunction VideoColorRange # fromJSONKeyList :: FromJSONKeyFunction [VideoColorRange] #
ToJSON VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toJSON :: VideoColorRange -> Value # toEncoding :: VideoColorRange -> Encoding # toJSONList :: [VideoColorRange] -> Value # toEncodingList :: [VideoColorRange] -> Encoding #
ToJSONKey VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toJSONKey :: ToJSONKeyFunction VideoColorRange # toJSONKeyList :: ToJSONKeyFunction [VideoColorRange] #
ToByteString VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toBS :: VideoColorRange -> ByteString #
ToHeader VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toHeader :: HeaderName -> VideoColorRange -> [Header] #
ToLog VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods build :: VideoColorRange -> ByteStringBuilder #
ToQuery VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toQuery :: VideoColorRange -> QueryString #
FromText VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods fromText :: Text -> Either String VideoColorRange #
ToText VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toText :: VideoColorRange -> Text #
FromXML VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods parseXML :: [Node] -> Either String VideoColorRange #
ToXML VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods toXML :: VideoColorRange -> XML #
Generic VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Associated Types type Rep VideoColorRange :: Type -> Type # Methods from :: VideoColorRange -> Rep VideoColorRange x # to :: Rep VideoColorRange x -> VideoColorRange #
Read VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods readsPrec :: Int -> ReadS VideoColorRange # readList :: ReadS [VideoColorRange] # readPrec :: ReadPrec VideoColorRange # readListPrec :: ReadPrec [VideoColorRange] #
Show VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods showsPrec :: Int -> VideoColorRange -> ShowS # show :: VideoColorRange -> String # showList :: [VideoColorRange] -> ShowS #
NFData VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods rnf :: VideoColorRange -> () #
Eq VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods (==) :: VideoColorRange -> VideoColorRange -> Bool # (/=) :: VideoColorRange -> VideoColorRange -> Bool #
Ord VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods compare :: VideoColorRange -> VideoColorRange -> Ordering # (<) :: VideoColorRange -> VideoColorRange -> Bool # (<=) :: VideoColorRange -> VideoColorRange -> Bool # (>) :: VideoColorRange -> VideoColorRange -> Bool # (>=) :: VideoColorRange -> VideoColorRange -> Bool # max :: VideoColorRange -> VideoColorRange -> VideoColorRange # min :: VideoColorRange -> VideoColorRange -> VideoColorRange #
Hashable VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange Methods hashWithSalt :: Int -> VideoColorRange -> Int # hash :: VideoColorRange -> Int #
type Rep VideoColorRange Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoColorRange type Rep VideoColorRange = D1 ('MetaData "VideoColorRange" "Amazonka.Rekognition.Types.VideoColorRange" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "VideoColorRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVideoColorRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VideoJobStatus

newtype VideoJobStatus Source #

Constructors

VideoJobStatus'
Fields fromVideoJobStatus :: Text

Bundled Patterns

pattern VideoJobStatus_FAILED :: VideoJobStatus
pattern VideoJobStatus_IN_PROGRESS :: VideoJobStatus
pattern VideoJobStatus_SUCCEEDED :: VideoJobStatus

Instances

Instances details

FromJSON VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods parseJSON :: Value -> Parser VideoJobStatus # parseJSONList :: Value -> Parser [VideoJobStatus] #
FromJSONKey VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods fromJSONKey :: FromJSONKeyFunction VideoJobStatus # fromJSONKeyList :: FromJSONKeyFunction [VideoJobStatus] #
ToJSON VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toJSON :: VideoJobStatus -> Value # toEncoding :: VideoJobStatus -> Encoding # toJSONList :: [VideoJobStatus] -> Value # toEncodingList :: [VideoJobStatus] -> Encoding #
ToJSONKey VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toJSONKey :: ToJSONKeyFunction VideoJobStatus # toJSONKeyList :: ToJSONKeyFunction [VideoJobStatus] #
ToByteString VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toBS :: VideoJobStatus -> ByteString #
ToHeader VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toHeader :: HeaderName -> VideoJobStatus -> [Header] #
ToLog VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods build :: VideoJobStatus -> ByteStringBuilder #
ToQuery VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toQuery :: VideoJobStatus -> QueryString #
FromText VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods fromText :: Text -> Either String VideoJobStatus #
ToText VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toText :: VideoJobStatus -> Text #
FromXML VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods parseXML :: [Node] -> Either String VideoJobStatus #
ToXML VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods toXML :: VideoJobStatus -> XML #
Generic VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Associated Types type Rep VideoJobStatus :: Type -> Type # Methods from :: VideoJobStatus -> Rep VideoJobStatus x # to :: Rep VideoJobStatus x -> VideoJobStatus #
Read VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods readsPrec :: Int -> ReadS VideoJobStatus # readList :: ReadS [VideoJobStatus] # readPrec :: ReadPrec VideoJobStatus # readListPrec :: ReadPrec [VideoJobStatus] #
Show VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods showsPrec :: Int -> VideoJobStatus -> ShowS # show :: VideoJobStatus -> String # showList :: [VideoJobStatus] -> ShowS #
NFData VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods rnf :: VideoJobStatus -> () #
Eq VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods (==) :: VideoJobStatus -> VideoJobStatus -> Bool # (/=) :: VideoJobStatus -> VideoJobStatus -> Bool #
Ord VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods compare :: VideoJobStatus -> VideoJobStatus -> Ordering # (<) :: VideoJobStatus -> VideoJobStatus -> Bool # (<=) :: VideoJobStatus -> VideoJobStatus -> Bool # (>) :: VideoJobStatus -> VideoJobStatus -> Bool # (>=) :: VideoJobStatus -> VideoJobStatus -> Bool # max :: VideoJobStatus -> VideoJobStatus -> VideoJobStatus # min :: VideoJobStatus -> VideoJobStatus -> VideoJobStatus #
Hashable VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus Methods hashWithSalt :: Int -> VideoJobStatus -> Int # hash :: VideoJobStatus -> Int #
type Rep VideoJobStatus Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoJobStatus type Rep VideoJobStatus = D1 ('MetaData "VideoJobStatus" "Amazonka.Rekognition.Types.VideoJobStatus" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'True) (C1 ('MetaCons "VideoJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVideoJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AgeRange

data AgeRange Source #

Structure containing the estimated age range, in years, for a face.

Amazon Rekognition estimates an age range for faces detected in the input image. Estimated age ranges can overlap. A face of a 5-year-old might have an estimated range of 4-6, while the face of a 6-year-old might have an estimated range of 4-8.

See: newAgeRange smart constructor.

Constructors

AgeRange'
Fields high :: Maybe Natural The highest estimated age. low :: Maybe Natural The lowest estimated age.

Instances

Instances details

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

newAgeRange :: AgeRange Source #

Create a value of AgeRange with all optional fields omitted.

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

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

$sel:high:AgeRange', ageRange_high - The highest estimated age.

$sel:low:AgeRange', ageRange_low - The lowest estimated age.

ageRange_high :: Lens' AgeRange (Maybe Natural) Source #

The highest estimated age.

ageRange_low :: Lens' AgeRange (Maybe Natural) Source #

The lowest estimated age.

Asset

data Asset Source #

Assets are the images that you use to train and evaluate a model version. Assets can also contain validation information that you use to debug a failed model training.

See: newAsset smart constructor.

Constructors

Asset'
Fields groundTruthManifest :: Maybe GroundTruthManifest

Instances

Instances details

FromJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods parseJSON :: Value -> Parser Asset # parseJSONList :: Value -> Parser [Asset] #
ToJSON Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods toJSON :: Asset -> Value # toEncoding :: Asset -> Encoding # toJSONList :: [Asset] -> Value # toEncodingList :: [Asset] -> Encoding #
Generic Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Associated Types type Rep Asset :: Type -> Type # Methods from :: Asset -> Rep Asset x # to :: Rep Asset x -> Asset #
Read Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods readsPrec :: Int -> ReadS Asset # readList :: ReadS [Asset] # readPrec :: ReadPrec Asset # readListPrec :: ReadPrec [Asset] #
Show Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods showsPrec :: Int -> Asset -> ShowS # show :: Asset -> String # showList :: [Asset] -> ShowS #
NFData Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods rnf :: Asset -> () #
Eq Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods (==) :: Asset -> Asset -> Bool # (/=) :: Asset -> Asset -> Bool #
Hashable Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset Methods hashWithSalt :: Int -> Asset -> Int # hash :: Asset -> Int #
type Rep Asset Source #
Instance details Defined in Amazonka.Rekognition.Types.Asset type Rep Asset = D1 ('MetaData "Asset" "Amazonka.Rekognition.Types.Asset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Asset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruthManifest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest))))

newAsset :: Asset Source #

Create a value of Asset with all optional fields omitted.

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

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

$sel:groundTruthManifest:Asset', asset_groundTruthManifest - Undocumented member.

asset_groundTruthManifest :: Lens' Asset (Maybe GroundTruthManifest) Source #

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'
Fields codec :: Maybe Text The audio codec used to encode or decode the audio stream. durationMillis :: Maybe Natural The duration of the audio stream in milliseconds. numberOfChannels :: Maybe Natural The number of audio channels in the segment. sampleRate :: Maybe Natural The sample rate for the audio stream.

Instances

Instances details

FromJSON AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods parseJSON :: Value -> Parser AudioMetadata # parseJSONList :: Value -> Parser [AudioMetadata] #
Generic AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Associated Types type Rep AudioMetadata :: Type -> Type # Methods from :: AudioMetadata -> Rep AudioMetadata x # to :: Rep AudioMetadata x -> AudioMetadata #
Read AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods readsPrec :: Int -> ReadS AudioMetadata # readList :: ReadS [AudioMetadata] # readPrec :: ReadPrec AudioMetadata # readListPrec :: ReadPrec [AudioMetadata] #
Show AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods showsPrec :: Int -> AudioMetadata -> ShowS # show :: AudioMetadata -> String # showList :: [AudioMetadata] -> ShowS #
NFData AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods rnf :: AudioMetadata -> () #
Eq AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods (==) :: AudioMetadata -> AudioMetadata -> Bool # (/=) :: AudioMetadata -> AudioMetadata -> Bool #
Hashable AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata Methods hashWithSalt :: Int -> AudioMetadata -> Int # hash :: AudioMetadata -> Int #
type Rep AudioMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.AudioMetadata type Rep AudioMetadata = D1 ('MetaData "AudioMetadata" "Amazonka.Rekognition.Types.AudioMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "AudioMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "numberOfChannels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "sampleRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newAudioMetadata :: AudioMetadata Source #

Create a value of AudioMetadata with all optional fields omitted.

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

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

$sel:codec:AudioMetadata', audioMetadata_codec - The audio codec used to encode or decode the audio stream.

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

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

$sel:sampleRate:AudioMetadata', audioMetadata_sampleRate - The sample rate for the audio stream.

audioMetadata_codec :: Lens' AudioMetadata (Maybe Text) Source #

The audio codec used to encode or decode the audio stream.

audioMetadata_durationMillis :: Lens' AudioMetadata (Maybe Natural) Source #

The duration of the audio stream in milliseconds.

audioMetadata_numberOfChannels :: Lens' AudioMetadata (Maybe Natural) Source #

The number of audio channels in the segment.

audioMetadata_sampleRate :: Lens' AudioMetadata (Maybe Natural) Source #

The sample rate for the audio stream.

Beard

data Beard Source #

Indicates whether or not the face has a beard, and the confidence level in the determination.

See: newBeard smart constructor.

Constructors

Beard'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the face has beard or not.

Instances

Instances details

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

newBeard :: Beard Source #

Create a value of Beard with all optional fields omitted.

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

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

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

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

beard_confidence :: Lens' Beard (Maybe Double) Source #

Level of confidence in the determination.

beard_value :: Lens' Beard (Maybe Bool) Source #

Boolean value that indicates whether the face has beard or not.

BlackFrame

data BlackFrame Source #

A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. As videos can come from multiple sources, formats, and time periods, they may contain different standards and varying noise levels for black frames that need to be accounted for. For more information, see StartSegmentDetection.

See: newBlackFrame smart constructor.

Constructors

BlackFrame'

Fields

maxPixelThreshold :: Maybe Double
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.
minCoveragePercentage :: Maybe Double
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.

Instances

Instances details

ToJSON BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods toJSON :: BlackFrame -> Value # toEncoding :: BlackFrame -> Encoding # toJSONList :: [BlackFrame] -> Value # toEncodingList :: [BlackFrame] -> Encoding #
Generic BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Associated Types type Rep BlackFrame :: Type -> Type # Methods from :: BlackFrame -> Rep BlackFrame x # to :: Rep BlackFrame x -> BlackFrame #
Read BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods readsPrec :: Int -> ReadS BlackFrame # readList :: ReadS [BlackFrame] # readPrec :: ReadPrec BlackFrame # readListPrec :: ReadPrec [BlackFrame] #
Show BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods showsPrec :: Int -> BlackFrame -> ShowS # show :: BlackFrame -> String # showList :: [BlackFrame] -> ShowS #
NFData BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods rnf :: BlackFrame -> () #
Eq BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods (==) :: BlackFrame -> BlackFrame -> Bool # (/=) :: BlackFrame -> BlackFrame -> Bool #
Hashable BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame Methods hashWithSalt :: Int -> BlackFrame -> Int # hash :: BlackFrame -> Int #
type Rep BlackFrame Source #
Instance details Defined in Amazonka.Rekognition.Types.BlackFrame type Rep BlackFrame = D1 ('MetaData "BlackFrame" "Amazonka.Rekognition.Types.BlackFrame" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "BlackFrame'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxPixelThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "minCoveragePercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newBlackFrame :: BlackFrame Source #

Create a value of BlackFrame with all optional fields omitted.

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

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

$sel:maxPixelThreshold:BlackFrame', blackFrame_maxPixelThreshold - A threshold used to determine the maximum luminance value for a pixel to be considered black. In a full color range video, luminance values range from 0-255. A pixel value of 0 is pure black, and the most strict filter. The maximum black pixel value is computed as follows: max_black_pixel_value = minimum_luminance + MaxPixelThreshold *luminance_range.

For example, for a full range video with BlackPixelThreshold = 0.1, max_black_pixel_value is 0 + 0.1 * (255-0) = 25.5.

The default value of MaxPixelThreshold is 0.2, which maps to a max_black_pixel_value of 51 for a full range video. You can lower this threshold to be more strict on black levels.

$sel:minCoveragePercentage:BlackFrame', blackFrame_minCoveragePercentage - The minimum percentage of pixels in a frame that need to have a luminance below the max_black_pixel_value for a frame to be considered a black frame. Luminance is calculated using the BT.709 matrix.

The default value is 99, which means at least 99% of all pixels in the frame are black pixels as per the MaxPixelThreshold set. You can reduce this value to allow more noise on the black frame.

blackFrame_maxPixelThreshold :: Lens' BlackFrame (Maybe Double) Source #

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.

blackFrame_minCoveragePercentage :: Lens' BlackFrame (Maybe Double) Source #

The minimum percentage of pixels in a frame that need to have a luminance below the max_black_pixel_value for a frame to be considered a black frame. Luminance is calculated using the BT.709 matrix.

The default value is 99, which means at least 99% of all pixels in the frame are black pixels as per the MaxPixelThreshold set. You can reduce this value to allow more noise on the black frame.

BoundingBox

data BoundingBox Source #

Identifies the bounding box around the label, face, text, object of interest, or personal protective equipment. The left (x-coordinate) and top (y-coordinate) are coordinates representing the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).

The top and left values returned are ratios of the overall image size. For example, if the input image is 700x200 pixels, and the top-left coordinate of the bounding box is 350x50 pixels, the API returns a left value of 0.5 (350/700) and a top value of 0.25 (50/200).

The width and height values represent the dimensions of the bounding box as a ratio of the overall image dimension. For example, if the input image is 700x200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.

The bounding box coordinates can have negative values. For example, if Amazon Rekognition is able to detect a face that is at the image edge and is only partially visible, the service can return coordinates that are outside the image bounds and, depending on the image edge, you might get negative values or values greater than 1 for the left or top values.

See: newBoundingBox smart constructor.

Constructors

BoundingBox'
Fields height :: Maybe Double Height of the bounding box as a ratio of the overall image height. left :: Maybe Double Left coordinate of the bounding box as a ratio of overall image width. top :: Maybe Double Top coordinate of the bounding box as a ratio of overall image height. width :: Maybe Double Width of the bounding box as a ratio of the overall image width.

Instances

Instances details

FromJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods parseJSON :: Value -> Parser BoundingBox # parseJSONList :: Value -> Parser [BoundingBox] #
ToJSON BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods toJSON :: BoundingBox -> Value # toEncoding :: BoundingBox -> Encoding # toJSONList :: [BoundingBox] -> Value # toEncodingList :: [BoundingBox] -> Encoding #
Generic BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Associated Types type Rep BoundingBox :: Type -> Type # Methods from :: BoundingBox -> Rep BoundingBox x # to :: Rep BoundingBox x -> BoundingBox #
Read BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods readsPrec :: Int -> ReadS BoundingBox # readList :: ReadS [BoundingBox] # readPrec :: ReadPrec BoundingBox # readListPrec :: ReadPrec [BoundingBox] #
Show BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods showsPrec :: Int -> BoundingBox -> ShowS # show :: BoundingBox -> String # showList :: [BoundingBox] -> ShowS #
NFData BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods rnf :: BoundingBox -> () #
Eq BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods (==) :: BoundingBox -> BoundingBox -> Bool # (/=) :: BoundingBox -> BoundingBox -> Bool #
Hashable BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox Methods hashWithSalt :: Int -> BoundingBox -> Int # hash :: BoundingBox -> Int #
type Rep BoundingBox Source #
Instance details Defined in Amazonka.Rekognition.Types.BoundingBox type Rep BoundingBox = D1 ('MetaData "BoundingBox" "Amazonka.Rekognition.Types.BoundingBox" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "BoundingBox'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "height") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "left") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "top") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "width") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newBoundingBox :: BoundingBox Source #

Create a value of BoundingBox with all optional fields omitted.

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

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

$sel:height:BoundingBox', boundingBox_height - Height of the bounding box as a ratio of the overall image height.

$sel:left:BoundingBox', boundingBox_left - Left coordinate of the bounding box as a ratio of overall image width.

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

$sel:width:BoundingBox', boundingBox_width - Width of the bounding box as a ratio of the overall image width.

boundingBox_height :: Lens' BoundingBox (Maybe Double) Source #

Height of the bounding box as a ratio of the overall image height.

boundingBox_left :: Lens' BoundingBox (Maybe Double) Source #

Left coordinate of the bounding box as a ratio of overall image width.

boundingBox_top :: Lens' BoundingBox (Maybe Double) Source #

Top coordinate of the bounding box as a ratio of overall image height.

boundingBox_width :: Lens' BoundingBox (Maybe Double) Source #

Width of the bounding box as a ratio of the overall image width.

Celebrity

data Celebrity Source #

Provides information about a celebrity recognized by the RecognizeCelebrities operation.

See: newCelebrity smart constructor.

Constructors

Celebrity'

Fields

face :: Maybe ComparedFace
Provides information about the celebrity's face, such as its location on the image.
id :: Maybe Text
A unique identifier for the celebrity.
knownGender :: Maybe KnownGender
matchConfidence :: Maybe Double
The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.
name :: Maybe Text
The name of the celebrity.
urls :: Maybe [Text]
An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.

Instances

Instances details

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

newCelebrity :: Celebrity Source #

Create a value of Celebrity with all optional fields omitted.

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

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

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

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

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

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

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

$sel:urls:Celebrity', celebrity_urls - An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.

celebrity_face :: Lens' Celebrity (Maybe ComparedFace) Source #

Provides information about the celebrity's face, such as its location on the image.

celebrity_id :: Lens' Celebrity (Maybe Text) Source #

A unique identifier for the celebrity.

celebrity_knownGender :: Lens' Celebrity (Maybe KnownGender) Source #

Undocumented member.

celebrity_matchConfidence :: Lens' Celebrity (Maybe Double) Source #

The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.

celebrity_name :: Lens' Celebrity (Maybe Text) Source #

The name of the celebrity.

celebrity_urls :: Lens' Celebrity (Maybe [Text]) Source #

An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.

CelebrityDetail

data CelebrityDetail Source #

Information about a recognized celebrity.

See: newCelebrityDetail smart constructor.

Constructors

CelebrityDetail'

Fields

boundingBox :: Maybe BoundingBox
Bounding box around the body of a celebrity.
confidence :: Maybe Double
The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.
face :: Maybe FaceDetail
Face details for the recognized celebrity.
id :: Maybe Text
The unique identifier for the celebrity.
knownGender :: Maybe KnownGender
Retrieves the known gender for the celebrity.
name :: Maybe Text
The name of the celebrity.
urls :: Maybe [Text]
An array of URLs pointing to additional celebrity information.

Instances

Instances details

FromJSON CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods parseJSON :: Value -> Parser CelebrityDetail # parseJSONList :: Value -> Parser [CelebrityDetail] #
Generic CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Associated Types type Rep CelebrityDetail :: Type -> Type # Methods from :: CelebrityDetail -> Rep CelebrityDetail x # to :: Rep CelebrityDetail x -> CelebrityDetail #
Read CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods readsPrec :: Int -> ReadS CelebrityDetail # readList :: ReadS [CelebrityDetail] # readPrec :: ReadPrec CelebrityDetail # readListPrec :: ReadPrec [CelebrityDetail] #
Show CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods showsPrec :: Int -> CelebrityDetail -> ShowS # show :: CelebrityDetail -> String # showList :: [CelebrityDetail] -> ShowS #
NFData CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods rnf :: CelebrityDetail -> () #
Eq CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods (==) :: CelebrityDetail -> CelebrityDetail -> Bool # (/=) :: CelebrityDetail -> CelebrityDetail -> Bool #
Hashable CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail Methods hashWithSalt :: Int -> CelebrityDetail -> Int # hash :: CelebrityDetail -> Int #
type Rep CelebrityDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityDetail type Rep CelebrityDetail = D1 ('MetaData "CelebrityDetail" "Amazonka.Rekognition.Types.CelebrityDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CelebrityDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)))) :: ((S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "knownGender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KnownGender))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "urls") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))))

newCelebrityDetail :: CelebrityDetail Source #

Create a value of CelebrityDetail with all optional fields omitted.

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

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

CelebrityDetail, celebrityDetail_boundingBox - Bounding box around the body of a celebrity.

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

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

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

$sel:knownGender:CelebrityDetail', celebrityDetail_knownGender - Retrieves the known gender for the celebrity.

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

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

celebrityDetail_boundingBox :: Lens' CelebrityDetail (Maybe BoundingBox) Source #

Bounding box around the body of a celebrity.

celebrityDetail_confidence :: Lens' CelebrityDetail (Maybe Double) Source #

The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.

celebrityDetail_face :: Lens' CelebrityDetail (Maybe FaceDetail) Source #

Face details for the recognized celebrity.

celebrityDetail_id :: Lens' CelebrityDetail (Maybe Text) Source #

The unique identifier for the celebrity.

celebrityDetail_knownGender :: Lens' CelebrityDetail (Maybe KnownGender) Source #

Retrieves the known gender for the celebrity.

celebrityDetail_name :: Lens' CelebrityDetail (Maybe Text) Source #

The name of the celebrity.

celebrityDetail_urls :: Lens' CelebrityDetail (Maybe [Text]) Source #

An array of URLs pointing to additional celebrity information.

CelebrityRecognition

data CelebrityRecognition Source #

Information about a detected celebrity and the time the celebrity was detected in a stored video. For more information, see GetCelebrityRecognition in the Amazon Rekognition Developer Guide.

See: newCelebrityRecognition smart constructor.

Constructors

CelebrityRecognition'
Fields celebrity :: Maybe CelebrityDetail Information about a recognized celebrity. timestamp :: Maybe Integer The time, in milliseconds from the start of the video, that the celebrity was recognized. Note that `Timestamp` is not guaranteed to be accurate to the individual frame where the celebrity first appears.

Instances

Instances details

FromJSON CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods parseJSON :: Value -> Parser CelebrityRecognition # parseJSONList :: Value -> Parser [CelebrityRecognition] #
Generic CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Associated Types type Rep CelebrityRecognition :: Type -> Type # Methods from :: CelebrityRecognition -> Rep CelebrityRecognition x # to :: Rep CelebrityRecognition x -> CelebrityRecognition #
Read CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods readsPrec :: Int -> ReadS CelebrityRecognition # readList :: ReadS [CelebrityRecognition] # readPrec :: ReadPrec CelebrityRecognition # readListPrec :: ReadPrec [CelebrityRecognition] #
Show CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods showsPrec :: Int -> CelebrityRecognition -> ShowS # show :: CelebrityRecognition -> String # showList :: [CelebrityRecognition] -> ShowS #
NFData CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods rnf :: CelebrityRecognition -> () #
Eq CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods (==) :: CelebrityRecognition -> CelebrityRecognition -> Bool # (/=) :: CelebrityRecognition -> CelebrityRecognition -> Bool #
Hashable CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition Methods hashWithSalt :: Int -> CelebrityRecognition -> Int # hash :: CelebrityRecognition -> Int #
type Rep CelebrityRecognition Source #
Instance details Defined in Amazonka.Rekognition.Types.CelebrityRecognition type Rep CelebrityRecognition = D1 ('MetaData "CelebrityRecognition" "Amazonka.Rekognition.Types.CelebrityRecognition" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CelebrityRecognition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "celebrity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CelebrityDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newCelebrityRecognition :: CelebrityRecognition Source #

Create a value of CelebrityRecognition with all optional fields omitted.

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

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

$sel:celebrity:CelebrityRecognition', celebrityRecognition_celebrity - Information about a recognized celebrity.

$sel:timestamp:CelebrityRecognition', celebrityRecognition_timestamp - The time, in milliseconds from the start of the video, that the celebrity was recognized. Note that Timestamp is not guaranteed to be accurate to the individual frame where the celebrity first appears.

celebrityRecognition_celebrity :: Lens' CelebrityRecognition (Maybe CelebrityDetail) Source #

Information about a recognized celebrity.

celebrityRecognition_timestamp :: Lens' CelebrityRecognition (Maybe Integer) Source #

The time, in milliseconds from the start of the video, that the celebrity was recognized. Note that Timestamp is not guaranteed to be accurate to the individual frame where the celebrity first appears.

CompareFacesMatch

data CompareFacesMatch Source #

Provides information about a face in a target image that matches the source image face analyzed by CompareFaces. The Face property contains the bounding box of the face in the target image. The Similarity property is the confidence that the source image face matches the face in the bounding box.

See: newCompareFacesMatch smart constructor.

Constructors

CompareFacesMatch'
Fields face :: Maybe ComparedFace Provides face metadata (bounding box and confidence that the bounding box actually contains a face). similarity :: Maybe Double Level of confidence that the faces match.

Instances

Instances details

FromJSON CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods parseJSON :: Value -> Parser CompareFacesMatch # parseJSONList :: Value -> Parser [CompareFacesMatch] #
Generic CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Associated Types type Rep CompareFacesMatch :: Type -> Type # Methods from :: CompareFacesMatch -> Rep CompareFacesMatch x # to :: Rep CompareFacesMatch x -> CompareFacesMatch #
Read CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods readsPrec :: Int -> ReadS CompareFacesMatch # readList :: ReadS [CompareFacesMatch] # readPrec :: ReadPrec CompareFacesMatch # readListPrec :: ReadPrec [CompareFacesMatch] #
Show CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods showsPrec :: Int -> CompareFacesMatch -> ShowS # show :: CompareFacesMatch -> String # showList :: [CompareFacesMatch] -> ShowS #
NFData CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods rnf :: CompareFacesMatch -> () #
Eq CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods (==) :: CompareFacesMatch -> CompareFacesMatch -> Bool # (/=) :: CompareFacesMatch -> CompareFacesMatch -> Bool #
Hashable CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch Methods hashWithSalt :: Int -> CompareFacesMatch -> Int # hash :: CompareFacesMatch -> Int #
type Rep CompareFacesMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.CompareFacesMatch type Rep CompareFacesMatch = D1 ('MetaData "CompareFacesMatch" "Amazonka.Rekognition.Types.CompareFacesMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CompareFacesMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ComparedFace)) :*: S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newCompareFacesMatch :: CompareFacesMatch Source #

Create a value of CompareFacesMatch with all optional fields omitted.

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

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

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

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

compareFacesMatch_face :: Lens' CompareFacesMatch (Maybe ComparedFace) Source #

Provides face metadata (bounding box and confidence that the bounding box actually contains a face).

compareFacesMatch_similarity :: Lens' CompareFacesMatch (Maybe Double) Source #

Level of confidence that the faces match.

ComparedFace

data ComparedFace Source #

Provides face metadata for target image faces that are analyzed by CompareFaces and RecognizeCelebrities.

See: newComparedFace smart constructor.

Constructors

ComparedFace'

Fields

boundingBox :: Maybe BoundingBox
Bounding box of the face.
confidence :: Maybe Double
Level of confidence that what the bounding box contains is a face.
emotions :: Maybe [Emotion]
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".
landmarks :: Maybe [Landmark]
An array of facial landmarks.
pose :: Maybe Pose
Indicates the pose of the face as determined by its pitch, roll, and yaw.
quality :: Maybe ImageQuality
Identifies face image brightness and sharpness.
smile :: Maybe Smile
Indicates whether or not the face is smiling, and the confidence level in the determination.

Instances

Instances details

FromJSON ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods parseJSON :: Value -> Parser ComparedFace # parseJSONList :: Value -> Parser [ComparedFace] #
Generic ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Associated Types type Rep ComparedFace :: Type -> Type # Methods from :: ComparedFace -> Rep ComparedFace x # to :: Rep ComparedFace x -> ComparedFace #
Read ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods readsPrec :: Int -> ReadS ComparedFace # readList :: ReadS [ComparedFace] # readPrec :: ReadPrec ComparedFace # readListPrec :: ReadPrec [ComparedFace] #
Show ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods showsPrec :: Int -> ComparedFace -> ShowS # show :: ComparedFace -> String # showList :: [ComparedFace] -> ShowS #
NFData ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods rnf :: ComparedFace -> () #
Eq ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods (==) :: ComparedFace -> ComparedFace -> Bool # (/=) :: ComparedFace -> ComparedFace -> Bool #
Hashable ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace Methods hashWithSalt :: Int -> ComparedFace -> Int # hash :: ComparedFace -> Int #
type Rep ComparedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedFace type Rep ComparedFace = D1 ('MetaData "ComparedFace" "Amazonka.Rekognition.Types.ComparedFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ComparedFace'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion])))) :: ((S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark])) :: S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose))) :: (S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality)) :: S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile))))))

newComparedFace :: ComparedFace Source #

Create a value of ComparedFace with all optional fields omitted.

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

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

$sel:boundingBox:ComparedFace', comparedFace_boundingBox - Bounding box of the face.

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

$sel:emotions:ComparedFace', comparedFace_emotions - The emotions that appear to be expressed on the face, and the confidence level in the determination. Valid values include "Happy", "Sad", "Angry", "Confused", "Disgusted", "Surprised", "Calm", "Unknown", and "Fear".

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

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

$sel:quality:ComparedFace', comparedFace_quality - Identifies face image brightness and sharpness.

$sel:smile:ComparedFace', comparedFace_smile - Indicates whether or not the face is smiling, and the confidence level in the determination.

comparedFace_boundingBox :: Lens' ComparedFace (Maybe BoundingBox) Source #

Bounding box of the face.

comparedFace_confidence :: Lens' ComparedFace (Maybe Double) Source #

Level of confidence that what the bounding box contains is a face.

comparedFace_emotions :: Lens' ComparedFace (Maybe [Emotion]) Source #

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".

comparedFace_landmarks :: Lens' ComparedFace (Maybe [Landmark]) Source #

An array of facial landmarks.

comparedFace_pose :: Lens' ComparedFace (Maybe Pose) Source #

Indicates the pose of the face as determined by its pitch, roll, and yaw.

comparedFace_quality :: Lens' ComparedFace (Maybe ImageQuality) Source #

Identifies face image brightness and sharpness.

comparedFace_smile :: Lens' ComparedFace (Maybe Smile) Source #

Indicates whether or not the face is smiling, and the confidence level in the determination.

ComparedSourceImageFace

data ComparedSourceImageFace Source #

Type that describes the face Amazon Rekognition chose to compare with the faces in the target. This contains a bounding box for the selected face and confidence level that the bounding box contains a face. Note that Amazon Rekognition selects the largest face in the source image for this comparison.

See: newComparedSourceImageFace smart constructor.

Constructors

ComparedSourceImageFace'
Fields boundingBox :: Maybe BoundingBox Bounding box of the face. confidence :: Maybe Double Confidence level that the selected bounding box contains a face.

Instances

Instances details

FromJSON ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods parseJSON :: Value -> Parser ComparedSourceImageFace # parseJSONList :: Value -> Parser [ComparedSourceImageFace] #
Generic ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Associated Types type Rep ComparedSourceImageFace :: Type -> Type # Methods from :: ComparedSourceImageFace -> Rep ComparedSourceImageFace x # to :: Rep ComparedSourceImageFace x -> ComparedSourceImageFace #
Read ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods readsPrec :: Int -> ReadS ComparedSourceImageFace # readList :: ReadS [ComparedSourceImageFace] # readPrec :: ReadPrec ComparedSourceImageFace # readListPrec :: ReadPrec [ComparedSourceImageFace] #
Show ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods showsPrec :: Int -> ComparedSourceImageFace -> ShowS # show :: ComparedSourceImageFace -> String # showList :: [ComparedSourceImageFace] -> ShowS #
NFData ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods rnf :: ComparedSourceImageFace -> () #
Eq ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods (==) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool # (/=) :: ComparedSourceImageFace -> ComparedSourceImageFace -> Bool #
Hashable ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace Methods hashWithSalt :: Int -> ComparedSourceImageFace -> Int # hash :: ComparedSourceImageFace -> Int #
type Rep ComparedSourceImageFace Source #
Instance details Defined in Amazonka.Rekognition.Types.ComparedSourceImageFace type Rep ComparedSourceImageFace = D1 ('MetaData "ComparedSourceImageFace" "Amazonka.Rekognition.Types.ComparedSourceImageFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ComparedSourceImageFace'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newComparedSourceImageFace :: ComparedSourceImageFace Source #

Create a value of ComparedSourceImageFace with all optional fields omitted.

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

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

$sel:boundingBox:ComparedSourceImageFace', comparedSourceImageFace_boundingBox - Bounding box of the face.

$sel:confidence:ComparedSourceImageFace', comparedSourceImageFace_confidence - Confidence level that the selected bounding box contains a face.

comparedSourceImageFace_boundingBox :: Lens' ComparedSourceImageFace (Maybe BoundingBox) Source #

Bounding box of the face.

comparedSourceImageFace_confidence :: Lens' ComparedSourceImageFace (Maybe Double) Source #

Confidence level that the selected bounding box contains a face.

ConnectedHomeSettings

data ConnectedHomeSettings Source #

Label detection settings to use on a streaming video. Defining the settings is required in the request parameter for CreateStreamProcessor. Including this setting in the CreateStreamProcessor request enables you to use the stream processor for label detection. You can then select what you want the stream processor to detect, such as people or pets. When the stream processor has started, one notification is sent for each object class specified. For example, if packages and pets are selected, one SNS notification is published the first time a package is detected and one SNS notification is published the first time a pet is detected, as well as an end-of-session summary.

See: newConnectedHomeSettings smart constructor.

Constructors

ConnectedHomeSettings'
Fields minConfidence :: Maybe Double The minimum confidence required to label an object in the video. labels :: NonEmpty Text Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

Instances

Instances details

FromJSON ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods parseJSON :: Value -> Parser ConnectedHomeSettings # parseJSONList :: Value -> Parser [ConnectedHomeSettings] #
ToJSON ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods toJSON :: ConnectedHomeSettings -> Value # toEncoding :: ConnectedHomeSettings -> Encoding # toJSONList :: [ConnectedHomeSettings] -> Value # toEncodingList :: [ConnectedHomeSettings] -> Encoding #
Generic ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Associated Types type Rep ConnectedHomeSettings :: Type -> Type # Methods from :: ConnectedHomeSettings -> Rep ConnectedHomeSettings x # to :: Rep ConnectedHomeSettings x -> ConnectedHomeSettings #
Read ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods readsPrec :: Int -> ReadS ConnectedHomeSettings # readList :: ReadS [ConnectedHomeSettings] # readPrec :: ReadPrec ConnectedHomeSettings # readListPrec :: ReadPrec [ConnectedHomeSettings] #
Show ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods showsPrec :: Int -> ConnectedHomeSettings -> ShowS # show :: ConnectedHomeSettings -> String # showList :: [ConnectedHomeSettings] -> ShowS #
NFData ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods rnf :: ConnectedHomeSettings -> () #
Eq ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods (==) :: ConnectedHomeSettings -> ConnectedHomeSettings -> Bool # (/=) :: ConnectedHomeSettings -> ConnectedHomeSettings -> Bool #
Hashable ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings Methods hashWithSalt :: Int -> ConnectedHomeSettings -> Int # hash :: ConnectedHomeSettings -> Int #
type Rep ConnectedHomeSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettings type Rep ConnectedHomeSettings = D1 ('MetaData "ConnectedHomeSettings" "Amazonka.Rekognition.Types.ConnectedHomeSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ConnectedHomeSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newConnectedHomeSettings Source #

Arguments

:: NonEmpty Text	`$sel:labels:ConnectedHomeSettings'`
-> ConnectedHomeSettings

Create a value of ConnectedHomeSettings with all optional fields omitted.

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

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

$sel:minConfidence:ConnectedHomeSettings', connectedHomeSettings_minConfidence - The minimum confidence required to label an object in the video.

$sel:labels:ConnectedHomeSettings', connectedHomeSettings_labels - Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

connectedHomeSettings_minConfidence :: Lens' ConnectedHomeSettings (Maybe Double) Source #

The minimum confidence required to label an object in the video.

connectedHomeSettings_labels :: Lens' ConnectedHomeSettings (NonEmpty Text) Source #

Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

ConnectedHomeSettingsForUpdate

data ConnectedHomeSettingsForUpdate Source #

The label detection settings you want to use in your stream processor. This includes the labels you want the stream processor to detect and the minimum confidence level allowed to label objects.

See: newConnectedHomeSettingsForUpdate smart constructor.

Constructors

ConnectedHomeSettingsForUpdate'
Fields labels :: Maybe (NonEmpty Text) Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL". minConfidence :: Maybe Double The minimum confidence required to label an object in the video.

Instances

Instances details

ToJSON ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods toJSON :: ConnectedHomeSettingsForUpdate -> Value # toEncoding :: ConnectedHomeSettingsForUpdate -> Encoding # toJSONList :: [ConnectedHomeSettingsForUpdate] -> Value # toEncodingList :: [ConnectedHomeSettingsForUpdate] -> Encoding #
Generic ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Associated Types type Rep ConnectedHomeSettingsForUpdate :: Type -> Type # Methods from :: ConnectedHomeSettingsForUpdate -> Rep ConnectedHomeSettingsForUpdate x # to :: Rep ConnectedHomeSettingsForUpdate x -> ConnectedHomeSettingsForUpdate #
Read ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods readsPrec :: Int -> ReadS ConnectedHomeSettingsForUpdate # readList :: ReadS [ConnectedHomeSettingsForUpdate] # readPrec :: ReadPrec ConnectedHomeSettingsForUpdate # readListPrec :: ReadPrec [ConnectedHomeSettingsForUpdate] #
Show ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods showsPrec :: Int -> ConnectedHomeSettingsForUpdate -> ShowS # show :: ConnectedHomeSettingsForUpdate -> String # showList :: [ConnectedHomeSettingsForUpdate] -> ShowS #
NFData ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods rnf :: ConnectedHomeSettingsForUpdate -> () #
Eq ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods (==) :: ConnectedHomeSettingsForUpdate -> ConnectedHomeSettingsForUpdate -> Bool # (/=) :: ConnectedHomeSettingsForUpdate -> ConnectedHomeSettingsForUpdate -> Bool #
Hashable ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate Methods hashWithSalt :: Int -> ConnectedHomeSettingsForUpdate -> Int # hash :: ConnectedHomeSettingsForUpdate -> Int #
type Rep ConnectedHomeSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate type Rep ConnectedHomeSettingsForUpdate = D1 ('MetaData "ConnectedHomeSettingsForUpdate" "Amazonka.Rekognition.Types.ConnectedHomeSettingsForUpdate" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ConnectedHomeSettingsForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "labels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newConnectedHomeSettingsForUpdate :: ConnectedHomeSettingsForUpdate Source #

Create a value of ConnectedHomeSettingsForUpdate with all optional fields omitted.

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

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

$sel:labels:ConnectedHomeSettingsForUpdate', connectedHomeSettingsForUpdate_labels - Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

$sel:minConfidence:ConnectedHomeSettingsForUpdate', connectedHomeSettingsForUpdate_minConfidence - The minimum confidence required to label an object in the video.

connectedHomeSettingsForUpdate_labels :: Lens' ConnectedHomeSettingsForUpdate (Maybe (NonEmpty Text)) Source #

Specifies what you want to detect in the video, such as people, packages, or pets. The current valid labels you can include in this list are: "PERSON", "PET", "PACKAGE", and "ALL".

connectedHomeSettingsForUpdate_minConfidence :: Lens' ConnectedHomeSettingsForUpdate (Maybe Double) Source #

The minimum confidence required to label an object in the video.

ContentModerationDetection

data ContentModerationDetection Source #

Information about an inappropriate, unwanted, or offensive content label detection in a stored video.

See: newContentModerationDetection smart constructor.

Constructors

ContentModerationDetection'
Fields moderationLabel :: Maybe ModerationLabel The content moderation label detected by in the stored video. timestamp :: Maybe Integer Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that `Timestamp` is not guaranteed to be accurate to the individual frame where the moderated content first appears.

Instances

Instances details

FromJSON ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods parseJSON :: Value -> Parser ContentModerationDetection # parseJSONList :: Value -> Parser [ContentModerationDetection] #
Generic ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Associated Types type Rep ContentModerationDetection :: Type -> Type # Methods from :: ContentModerationDetection -> Rep ContentModerationDetection x # to :: Rep ContentModerationDetection x -> ContentModerationDetection #
Read ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods readsPrec :: Int -> ReadS ContentModerationDetection # readList :: ReadS [ContentModerationDetection] # readPrec :: ReadPrec ContentModerationDetection # readListPrec :: ReadPrec [ContentModerationDetection] #
Show ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods showsPrec :: Int -> ContentModerationDetection -> ShowS # show :: ContentModerationDetection -> String # showList :: [ContentModerationDetection] -> ShowS #
NFData ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods rnf :: ContentModerationDetection -> () #
Eq ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods (==) :: ContentModerationDetection -> ContentModerationDetection -> Bool # (/=) :: ContentModerationDetection -> ContentModerationDetection -> Bool #
Hashable ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection Methods hashWithSalt :: Int -> ContentModerationDetection -> Int # hash :: ContentModerationDetection -> Int #
type Rep ContentModerationDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.ContentModerationDetection type Rep ContentModerationDetection = D1 ('MetaData "ContentModerationDetection" "Amazonka.Rekognition.Types.ContentModerationDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ContentModerationDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "moderationLabel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModerationLabel)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newContentModerationDetection :: ContentModerationDetection Source #

Create a value of ContentModerationDetection with all optional fields omitted.

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

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

$sel:moderationLabel:ContentModerationDetection', contentModerationDetection_moderationLabel - The content moderation label detected by in the stored video.

$sel:timestamp:ContentModerationDetection', contentModerationDetection_timestamp - Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the moderated content first appears.

contentModerationDetection_moderationLabel :: Lens' ContentModerationDetection (Maybe ModerationLabel) Source #

The content moderation label detected by in the stored video.

contentModerationDetection_timestamp :: Lens' ContentModerationDetection (Maybe Integer) Source #

Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the moderated content first appears.

CoversBodyPart

data CoversBodyPart Source #

Information about an item of Personal Protective Equipment covering a corresponding body part. For more information, see DetectProtectiveEquipment.

See: newCoversBodyPart smart constructor.

Constructors

CoversBodyPart'
Fields confidence :: Maybe Double The confidence that Amazon Rekognition has in the value of `Value`. value :: Maybe Bool True if the PPE covers the corresponding body part, otherwise false.

Instances

Instances details

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

newCoversBodyPart :: CoversBodyPart Source #

Create a value of CoversBodyPart with all optional fields omitted.

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

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

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

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

coversBodyPart_confidence :: Lens' CoversBodyPart (Maybe Double) Source #

The confidence that Amazon Rekognition has in the value of Value.

coversBodyPart_value :: Lens' CoversBodyPart (Maybe Bool) Source #

True if the PPE covers the corresponding body part, otherwise false.

CustomLabel

data CustomLabel Source #

A custom label detected in an image by a call to DetectCustomLabels.

See: newCustomLabel smart constructor.

Constructors

CustomLabel'

Fields

confidence :: Maybe Double
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.
geometry :: Maybe 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.
name :: Maybe Text
The name of the custom label.

Instances

Instances details

FromJSON CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods parseJSON :: Value -> Parser CustomLabel # parseJSONList :: Value -> Parser [CustomLabel] #
Generic CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Associated Types type Rep CustomLabel :: Type -> Type # Methods from :: CustomLabel -> Rep CustomLabel x # to :: Rep CustomLabel x -> CustomLabel #
Read CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods readsPrec :: Int -> ReadS CustomLabel # readList :: ReadS [CustomLabel] # readPrec :: ReadPrec CustomLabel # readListPrec :: ReadPrec [CustomLabel] #
Show CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods showsPrec :: Int -> CustomLabel -> ShowS # show :: CustomLabel -> String # showList :: [CustomLabel] -> ShowS #
NFData CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods rnf :: CustomLabel -> () #
Eq CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods (==) :: CustomLabel -> CustomLabel -> Bool # (/=) :: CustomLabel -> CustomLabel -> Bool #
Hashable CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods hashWithSalt :: Int -> CustomLabel -> Int # hash :: CustomLabel -> Int #
type Rep CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel type Rep CustomLabel = D1 ('MetaData "CustomLabel" "Amazonka.Rekognition.Types.CustomLabel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "CustomLabel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newCustomLabel :: CustomLabel Source #

Create a value of CustomLabel with all optional fields omitted.

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

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

$sel:confidence:CustomLabel', customLabel_confidence - The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.

$sel:geometry:CustomLabel', customLabel_geometry - The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.

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

customLabel_confidence :: Lens' CustomLabel (Maybe Double) Source #

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.

customLabel_geometry :: Lens' CustomLabel (Maybe Geometry) Source #

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.

customLabel_name :: Lens' CustomLabel (Maybe Text) Source #

The name of the custom label.

DatasetChanges

data DatasetChanges Source #

Describes updates or additions to a dataset. A Single update or addition is an entry (JSON Line) that provides information about a single image. To update an existing entry, you match the source-ref field of the update entry with the source-ref filed of the entry that you want to update. If the source-ref field doesn't match an existing entry, the entry is added to dataset as a new entry.

See: newDatasetChanges smart constructor.

Constructors

DatasetChanges'

Fields

groundTruth :: Base64
A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.
For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.

Instances

Instances details

ToJSON DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods toJSON :: DatasetChanges -> Value # toEncoding :: DatasetChanges -> Encoding # toJSONList :: [DatasetChanges] -> Value # toEncodingList :: [DatasetChanges] -> Encoding #
Generic DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Associated Types type Rep DatasetChanges :: Type -> Type # Methods from :: DatasetChanges -> Rep DatasetChanges x # to :: Rep DatasetChanges x -> DatasetChanges #
Read DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods readsPrec :: Int -> ReadS DatasetChanges # readList :: ReadS [DatasetChanges] # readPrec :: ReadPrec DatasetChanges # readListPrec :: ReadPrec [DatasetChanges] #
Show DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods showsPrec :: Int -> DatasetChanges -> ShowS # show :: DatasetChanges -> String # showList :: [DatasetChanges] -> ShowS #
NFData DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods rnf :: DatasetChanges -> () #
Eq DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods (==) :: DatasetChanges -> DatasetChanges -> Bool # (/=) :: DatasetChanges -> DatasetChanges -> Bool #
Hashable DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges Methods hashWithSalt :: Int -> DatasetChanges -> Int # hash :: DatasetChanges -> Int #
type Rep DatasetChanges Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetChanges type Rep DatasetChanges = D1 ('MetaData "DatasetChanges" "Amazonka.Rekognition.Types.DatasetChanges" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetChanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Base64)))

newDatasetChanges Source #

Arguments

:: ByteString	`$sel:groundTruth:DatasetChanges'`
-> DatasetChanges

Create a value of DatasetChanges with all optional fields omitted.

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

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

$sel:groundTruth:DatasetChanges', datasetChanges_groundTruth - A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

datasetChanges_groundTruth :: Lens' DatasetChanges ByteString Source #

A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

DatasetDescription

data DatasetDescription Source #

A description for a dataset. For more information, see DescribeDataset.

The status fields Status, StatusMessage, and StatusMessageCode reflect the last operation on the dataset.

See: newDatasetDescription smart constructor.

Constructors

DatasetDescription'

Fields

creationTimestamp :: Maybe POSIX
The Unix timestamp for the time and date that the dataset was created.
datasetStats :: Maybe DatasetStats
The status message code for the dataset.
lastUpdatedTimestamp :: Maybe POSIX
The Unix timestamp for the date and time that the dataset was last updated.
status :: Maybe DatasetStatus
The status of the dataset.
statusMessage :: Maybe Text
The status message for the dataset.
statusMessageCode :: Maybe DatasetStatusMessageCode
The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

Instances

Instances details

FromJSON DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods parseJSON :: Value -> Parser DatasetDescription # parseJSONList :: Value -> Parser [DatasetDescription] #
Generic DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Associated Types type Rep DatasetDescription :: Type -> Type # Methods from :: DatasetDescription -> Rep DatasetDescription x # to :: Rep DatasetDescription x -> DatasetDescription #
Read DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods readsPrec :: Int -> ReadS DatasetDescription # readList :: ReadS [DatasetDescription] # readPrec :: ReadPrec DatasetDescription # readListPrec :: ReadPrec [DatasetDescription] #
Show DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods showsPrec :: Int -> DatasetDescription -> ShowS # show :: DatasetDescription -> String # showList :: [DatasetDescription] -> ShowS #
NFData DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods rnf :: DatasetDescription -> () #
Eq DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods (==) :: DatasetDescription -> DatasetDescription -> Bool # (/=) :: DatasetDescription -> DatasetDescription -> Bool #
Hashable DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription Methods hashWithSalt :: Int -> DatasetDescription -> Int # hash :: DatasetDescription -> Int #
type Rep DatasetDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetDescription type Rep DatasetDescription = D1 ('MetaData "DatasetDescription" "Amazonka.Rekognition.Types.DatasetDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetStats") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStats)) :: S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "statusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatusMessageCode))))))

newDatasetDescription :: DatasetDescription Source #

Create a value of DatasetDescription with all optional fields omitted.

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

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

$sel:creationTimestamp:DatasetDescription', datasetDescription_creationTimestamp - The Unix timestamp for the time and date that the dataset was created.

$sel:datasetStats:DatasetDescription', datasetDescription_datasetStats - The status message code for the dataset.

$sel:lastUpdatedTimestamp:DatasetDescription', datasetDescription_lastUpdatedTimestamp - The Unix timestamp for the date and time that the dataset was last updated.

$sel:status:DatasetDescription', datasetDescription_status - The status of the dataset.

$sel:statusMessage:DatasetDescription', datasetDescription_statusMessage - The status message for the dataset.

$sel:statusMessageCode:DatasetDescription', datasetDescription_statusMessageCode - The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

datasetDescription_creationTimestamp :: Lens' DatasetDescription (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the dataset was created.

datasetDescription_datasetStats :: Lens' DatasetDescription (Maybe DatasetStats) Source #

The status message code for the dataset.

datasetDescription_lastUpdatedTimestamp :: Lens' DatasetDescription (Maybe UTCTime) Source #

The Unix timestamp for the date and time that the dataset was last updated.

datasetDescription_status :: Lens' DatasetDescription (Maybe DatasetStatus) Source #

The status of the dataset.

datasetDescription_statusMessage :: Lens' DatasetDescription (Maybe Text) Source #

The status message for the dataset.

datasetDescription_statusMessageCode :: Lens' DatasetDescription (Maybe DatasetStatusMessageCode) Source #

The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

DatasetLabelDescription

data DatasetLabelDescription Source #

Describes a dataset label. For more information, see ListDatasetLabels.

See: newDatasetLabelDescription smart constructor.

Constructors

DatasetLabelDescription'
Fields labelName :: Maybe Text The name of the label. labelStats :: Maybe DatasetLabelStats Statistics about the label.

Instances

Instances details

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

newDatasetLabelDescription :: DatasetLabelDescription Source #

Create a value of DatasetLabelDescription with all optional fields omitted.

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

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

$sel:labelName:DatasetLabelDescription', datasetLabelDescription_labelName - The name of the label.

$sel:labelStats:DatasetLabelDescription', datasetLabelDescription_labelStats - Statistics about the label.

datasetLabelDescription_labelName :: Lens' DatasetLabelDescription (Maybe Text) Source #

The name of the label.

datasetLabelDescription_labelStats :: Lens' DatasetLabelDescription (Maybe DatasetLabelStats) Source #

Statistics about the label.

DatasetLabelStats

data DatasetLabelStats Source #

Statistics about a label used in a dataset. For more information, see DatasetLabelDescription.

See: newDatasetLabelStats smart constructor.

Constructors

DatasetLabelStats'
Fields boundingBoxCount :: Maybe Natural The total number of images that have the label assigned to a bounding box. entryCount :: Maybe Natural The total number of images that use the label.

Instances

Instances details

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

newDatasetLabelStats :: DatasetLabelStats Source #

Create a value of DatasetLabelStats with all optional fields omitted.

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

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

$sel:boundingBoxCount:DatasetLabelStats', datasetLabelStats_boundingBoxCount - The total number of images that have the label assigned to a bounding box.

$sel:entryCount:DatasetLabelStats', datasetLabelStats_entryCount - The total number of images that use the label.

datasetLabelStats_boundingBoxCount :: Lens' DatasetLabelStats (Maybe Natural) Source #

The total number of images that have the label assigned to a bounding box.

datasetLabelStats_entryCount :: Lens' DatasetLabelStats (Maybe Natural) Source #

The total number of images that use the label.

DatasetMetadata

data DatasetMetadata Source #

Summary information for an Amazon Rekognition Custom Labels dataset. For more information, see ProjectDescription.

See: newDatasetMetadata smart constructor.

Constructors

DatasetMetadata'

Fields

creationTimestamp :: Maybe POSIX
The Unix timestamp for the date and time that the dataset was created.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) for the dataset.
datasetType :: Maybe DatasetType
The type of the dataset.
status :: Maybe DatasetStatus
The status for the dataset.
statusMessage :: Maybe Text
The status message for the dataset.
statusMessageCode :: Maybe DatasetStatusMessageCode
The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

Instances

Instances details

FromJSON DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods parseJSON :: Value -> Parser DatasetMetadata # parseJSONList :: Value -> Parser [DatasetMetadata] #
Generic DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Associated Types type Rep DatasetMetadata :: Type -> Type # Methods from :: DatasetMetadata -> Rep DatasetMetadata x # to :: Rep DatasetMetadata x -> DatasetMetadata #
Read DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods readsPrec :: Int -> ReadS DatasetMetadata # readList :: ReadS [DatasetMetadata] # readPrec :: ReadPrec DatasetMetadata # readListPrec :: ReadPrec [DatasetMetadata] #
Show DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods showsPrec :: Int -> DatasetMetadata -> ShowS # show :: DatasetMetadata -> String # showList :: [DatasetMetadata] -> ShowS #
NFData DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods rnf :: DatasetMetadata -> () #
Eq DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods (==) :: DatasetMetadata -> DatasetMetadata -> Bool # (/=) :: DatasetMetadata -> DatasetMetadata -> Bool #
Hashable DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata Methods hashWithSalt :: Int -> DatasetMetadata -> Int # hash :: DatasetMetadata -> Int #
type Rep DatasetMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.DatasetMetadata type Rep DatasetMetadata = D1 ('MetaData "DatasetMetadata" "Amazonka.Rekognition.Types.DatasetMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetType)))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "statusMessageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatusMessageCode))))))

newDatasetMetadata :: DatasetMetadata Source #

Create a value of DatasetMetadata with all optional fields omitted.

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

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

$sel:creationTimestamp:DatasetMetadata', datasetMetadata_creationTimestamp - The Unix timestamp for the date and time that the dataset was created.

$sel:datasetArn:DatasetMetadata', datasetMetadata_datasetArn - The Amazon Resource Name (ARN) for the dataset.

$sel:datasetType:DatasetMetadata', datasetMetadata_datasetType - The type of the dataset.

$sel:status:DatasetMetadata', datasetMetadata_status - The status for the dataset.

$sel:statusMessage:DatasetMetadata', datasetMetadata_statusMessage - The status message for the dataset.

$sel:statusMessageCode:DatasetMetadata', datasetMetadata_statusMessageCode - The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

datasetMetadata_creationTimestamp :: Lens' DatasetMetadata (Maybe UTCTime) Source #

The Unix timestamp for the date and time that the dataset was created.

datasetMetadata_datasetArn :: Lens' DatasetMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) for the dataset.

datasetMetadata_datasetType :: Lens' DatasetMetadata (Maybe DatasetType) Source #

The type of the dataset.

datasetMetadata_status :: Lens' DatasetMetadata (Maybe DatasetStatus) Source #

The status for the dataset.

datasetMetadata_statusMessage :: Lens' DatasetMetadata (Maybe Text) Source #

The status message for the dataset.

datasetMetadata_statusMessageCode :: Lens' DatasetMetadata (Maybe DatasetStatusMessageCode) Source #

The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.

DatasetSource

data DatasetSource Source #

The source that Amazon Rekognition Custom Labels uses to create a dataset. To use an Amazon Sagemaker format manifest file, specify the S3 bucket location in the GroundTruthManifest field. The S3 bucket must be in your AWS account. To create a copy of an existing dataset, specify the Amazon Resource Name (ARN) of an existing dataset in DatasetArn.

You need to specify a value for DatasetArn or GroundTruthManifest, but not both. if you supply both values, or if you don't specify any values, an InvalidParameterException exception occurs.

For more information, see CreateDataset.

See: newDatasetSource smart constructor.

Constructors

DatasetSource'
Fields datasetArn :: Maybe Text The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy. groundTruthManifest :: Maybe GroundTruthManifest

Instances

Instances details

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

newDatasetSource :: DatasetSource Source #

Create a value of DatasetSource with all optional fields omitted.

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

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

$sel:datasetArn:DatasetSource', datasetSource_datasetArn - The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

$sel:groundTruthManifest:DatasetSource', datasetSource_groundTruthManifest - Undocumented member.

datasetSource_datasetArn :: Lens' DatasetSource (Maybe Text) Source #

The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

datasetSource_groundTruthManifest :: Lens' DatasetSource (Maybe GroundTruthManifest) Source #

Undocumented member.

DatasetStats

data DatasetStats Source #

Provides statistics about a dataset. For more information, see DescribeDataset.

See: newDatasetStats smart constructor.

Constructors

DatasetStats'
Fields errorEntries :: Maybe Natural The total number of entries that contain at least one error. labeledEntries :: Maybe Natural The total number of images in the dataset that have labels. totalEntries :: Maybe Natural The total number of images in the dataset. totalLabels :: Maybe Natural The total number of labels declared in the dataset.

Instances

Instances details

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

newDatasetStats :: DatasetStats Source #

Create a value of DatasetStats with all optional fields omitted.

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

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

$sel:errorEntries:DatasetStats', datasetStats_errorEntries - The total number of entries that contain at least one error.

$sel:labeledEntries:DatasetStats', datasetStats_labeledEntries - The total number of images in the dataset that have labels.

$sel:totalEntries:DatasetStats', datasetStats_totalEntries - The total number of images in the dataset.

$sel:totalLabels:DatasetStats', datasetStats_totalLabels - The total number of labels declared in the dataset.

datasetStats_errorEntries :: Lens' DatasetStats (Maybe Natural) Source #

The total number of entries that contain at least one error.

datasetStats_labeledEntries :: Lens' DatasetStats (Maybe Natural) Source #

The total number of images in the dataset that have labels.

datasetStats_totalEntries :: Lens' DatasetStats (Maybe Natural) Source #

The total number of images in the dataset.

datasetStats_totalLabels :: Lens' DatasetStats (Maybe Natural) Source #

The total number of labels declared in the dataset.

DetectLabelsImageBackground

data DetectLabelsImageBackground Source #

The background of the image with regard to image quality and dominant colors.

See: newDetectLabelsImageBackground smart constructor.

Constructors

DetectLabelsImageBackground'
Fields dominantColors :: Maybe [DominantColor] The dominant colors found in the background of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color). quality :: Maybe DetectLabelsImageQuality The quality of the image background as defined by brightness and sharpness.

Instances

Instances details

FromJSON DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods parseJSON :: Value -> Parser DetectLabelsImageBackground # parseJSONList :: Value -> Parser [DetectLabelsImageBackground] #
Generic DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Associated Types type Rep DetectLabelsImageBackground :: Type -> Type # Methods from :: DetectLabelsImageBackground -> Rep DetectLabelsImageBackground x # to :: Rep DetectLabelsImageBackground x -> DetectLabelsImageBackground #
Read DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods readsPrec :: Int -> ReadS DetectLabelsImageBackground # readList :: ReadS [DetectLabelsImageBackground] # readPrec :: ReadPrec DetectLabelsImageBackground # readListPrec :: ReadPrec [DetectLabelsImageBackground] #
Show DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods showsPrec :: Int -> DetectLabelsImageBackground -> ShowS # show :: DetectLabelsImageBackground -> String # showList :: [DetectLabelsImageBackground] -> ShowS #
NFData DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods rnf :: DetectLabelsImageBackground -> () #
Eq DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods (==) :: DetectLabelsImageBackground -> DetectLabelsImageBackground -> Bool # (/=) :: DetectLabelsImageBackground -> DetectLabelsImageBackground -> Bool #
Hashable DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground Methods hashWithSalt :: Int -> DetectLabelsImageBackground -> Int # hash :: DetectLabelsImageBackground -> Int #
type Rep DetectLabelsImageBackground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageBackground type Rep DetectLabelsImageBackground = D1 ('MetaData "DetectLabelsImageBackground" "Amazonka.Rekognition.Types.DetectLabelsImageBackground" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageBackground'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality))))

newDetectLabelsImageBackground :: DetectLabelsImageBackground Source #

Create a value of DetectLabelsImageBackground with all optional fields omitted.

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

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

$sel:dominantColors:DetectLabelsImageBackground', detectLabelsImageBackground_dominantColors - The dominant colors found in the background of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:quality:DetectLabelsImageBackground', detectLabelsImageBackground_quality - The quality of the image background as defined by brightness and sharpness.

detectLabelsImageBackground_dominantColors :: Lens' DetectLabelsImageBackground (Maybe [DominantColor]) Source #

The dominant colors found in the background of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

detectLabelsImageBackground_quality :: Lens' DetectLabelsImageBackground (Maybe DetectLabelsImageQuality) Source #

The quality of the image background as defined by brightness and sharpness.

DetectLabelsImageForeground

data DetectLabelsImageForeground Source #

The foreground of the image with regard to image quality and dominant colors.

See: newDetectLabelsImageForeground smart constructor.

Constructors

DetectLabelsImageForeground'
Fields dominantColors :: Maybe [DominantColor] The dominant colors found in the foreground of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color). quality :: Maybe DetectLabelsImageQuality The quality of the image foreground as defined by brightness and sharpness.

Instances

Instances details

FromJSON DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods parseJSON :: Value -> Parser DetectLabelsImageForeground # parseJSONList :: Value -> Parser [DetectLabelsImageForeground] #
Generic DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Associated Types type Rep DetectLabelsImageForeground :: Type -> Type # Methods from :: DetectLabelsImageForeground -> Rep DetectLabelsImageForeground x # to :: Rep DetectLabelsImageForeground x -> DetectLabelsImageForeground #
Read DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods readsPrec :: Int -> ReadS DetectLabelsImageForeground # readList :: ReadS [DetectLabelsImageForeground] # readPrec :: ReadPrec DetectLabelsImageForeground # readListPrec :: ReadPrec [DetectLabelsImageForeground] #
Show DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods showsPrec :: Int -> DetectLabelsImageForeground -> ShowS # show :: DetectLabelsImageForeground -> String # showList :: [DetectLabelsImageForeground] -> ShowS #
NFData DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods rnf :: DetectLabelsImageForeground -> () #
Eq DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods (==) :: DetectLabelsImageForeground -> DetectLabelsImageForeground -> Bool # (/=) :: DetectLabelsImageForeground -> DetectLabelsImageForeground -> Bool #
Hashable DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground Methods hashWithSalt :: Int -> DetectLabelsImageForeground -> Int # hash :: DetectLabelsImageForeground -> Int #
type Rep DetectLabelsImageForeground Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageForeground type Rep DetectLabelsImageForeground = D1 ('MetaData "DetectLabelsImageForeground" "Amazonka.Rekognition.Types.DetectLabelsImageForeground" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageForeground'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality))))

newDetectLabelsImageForeground :: DetectLabelsImageForeground Source #

Create a value of DetectLabelsImageForeground with all optional fields omitted.

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

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

$sel:dominantColors:DetectLabelsImageForeground', detectLabelsImageForeground_dominantColors - The dominant colors found in the foreground of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:quality:DetectLabelsImageForeground', detectLabelsImageForeground_quality - The quality of the image foreground as defined by brightness and sharpness.

detectLabelsImageForeground_dominantColors :: Lens' DetectLabelsImageForeground (Maybe [DominantColor]) Source #

The dominant colors found in the foreground of an image, defined with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

detectLabelsImageForeground_quality :: Lens' DetectLabelsImageForeground (Maybe DetectLabelsImageQuality) Source #

The quality of the image foreground as defined by brightness and sharpness.

DetectLabelsImageProperties

data DetectLabelsImageProperties Source #

Information about the quality and dominant colors of an input image. Quality and color information is returned for the entire image, foreground, and background.

See: newDetectLabelsImageProperties smart constructor.

Constructors

DetectLabelsImageProperties'

Fields

background :: Maybe DetectLabelsImageBackground
Information about the properties of an image’s background, including the background’s quality and dominant colors, including the quality and dominant colors of the image.
dominantColors :: Maybe [DominantColor]
Information about the dominant colors found in an image, described with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).
foreground :: Maybe DetectLabelsImageForeground
Information about the properties of an image’s foreground, including the foreground’s quality and dominant colors, including the quality and dominant colors of the image.
quality :: Maybe DetectLabelsImageQuality
Information about the quality of the image foreground as defined by brightness, sharpness, and contrast. The higher the value the greater the brightness, sharpness, and contrast respectively.

Instances

Instances details

FromJSON DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods parseJSON :: Value -> Parser DetectLabelsImageProperties # parseJSONList :: Value -> Parser [DetectLabelsImageProperties] #
Generic DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Associated Types type Rep DetectLabelsImageProperties :: Type -> Type # Methods from :: DetectLabelsImageProperties -> Rep DetectLabelsImageProperties x # to :: Rep DetectLabelsImageProperties x -> DetectLabelsImageProperties #
Read DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods readsPrec :: Int -> ReadS DetectLabelsImageProperties # readList :: ReadS [DetectLabelsImageProperties] # readPrec :: ReadPrec DetectLabelsImageProperties # readListPrec :: ReadPrec [DetectLabelsImageProperties] #
Show DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods showsPrec :: Int -> DetectLabelsImageProperties -> ShowS # show :: DetectLabelsImageProperties -> String # showList :: [DetectLabelsImageProperties] -> ShowS #
NFData DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods rnf :: DetectLabelsImageProperties -> () #
Eq DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods (==) :: DetectLabelsImageProperties -> DetectLabelsImageProperties -> Bool # (/=) :: DetectLabelsImageProperties -> DetectLabelsImageProperties -> Bool #
Hashable DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties Methods hashWithSalt :: Int -> DetectLabelsImageProperties -> Int # hash :: DetectLabelsImageProperties -> Int #
type Rep DetectLabelsImageProperties Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageProperties type Rep DetectLabelsImageProperties = D1 ('MetaData "DetectLabelsImageProperties" "Amazonka.Rekognition.Types.DetectLabelsImageProperties" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageProperties'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "background") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageBackground)) :: S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor]))) :: (S1 ('MetaSel ('Just "foreground") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageForeground)) :*: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImageQuality)))))

newDetectLabelsImageProperties :: DetectLabelsImageProperties Source #

Create a value of DetectLabelsImageProperties with all optional fields omitted.

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

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

$sel:background:DetectLabelsImageProperties', detectLabelsImageProperties_background - Information about the properties of an image’s background, including the background’s quality and dominant colors, including the quality and dominant colors of the image.

DetectLabelsImageProperties, detectLabelsImageProperties_dominantColors - Information about the dominant colors found in an image, described with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

$sel:foreground:DetectLabelsImageProperties', detectLabelsImageProperties_foreground - Information about the properties of an image’s foreground, including the foreground’s quality and dominant colors, including the quality and dominant colors of the image.

DetectLabelsImageProperties, detectLabelsImageProperties_quality - Information about the quality of the image foreground as defined by brightness, sharpness, and contrast. The higher the value the greater the brightness, sharpness, and contrast respectively.

detectLabelsImageProperties_background :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageBackground) Source #

Information about the properties of an image’s background, including the background’s quality and dominant colors, including the quality and dominant colors of the image.

detectLabelsImageProperties_dominantColors :: Lens' DetectLabelsImageProperties (Maybe [DominantColor]) Source #

Information about the dominant colors found in an image, described with RGB values, CSS color name, simplified color name, and PixelPercentage (the percentage of image pixels that have a particular color).

detectLabelsImageProperties_foreground :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageForeground) Source #

Information about the properties of an image’s foreground, including the foreground’s quality and dominant colors, including the quality and dominant colors of the image.

detectLabelsImageProperties_quality :: Lens' DetectLabelsImageProperties (Maybe DetectLabelsImageQuality) Source #

Information about the quality of the image foreground as defined by brightness, sharpness, and contrast. The higher the value the greater the brightness, sharpness, and contrast respectively.

DetectLabelsImagePropertiesSettings

data DetectLabelsImagePropertiesSettings Source #

Settings for the IMAGE_PROPERTIES feature type.

See: newDetectLabelsImagePropertiesSettings smart constructor.

Constructors

DetectLabelsImagePropertiesSettings'
Fields maxDominantColors :: Maybe Natural The maximum number of dominant colors to return when detecting labels in an image. The default value is 10.

Instances

Instances details

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

newDetectLabelsImagePropertiesSettings :: DetectLabelsImagePropertiesSettings Source #

Create a value of DetectLabelsImagePropertiesSettings with all optional fields omitted.

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

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

$sel:maxDominantColors:DetectLabelsImagePropertiesSettings', detectLabelsImagePropertiesSettings_maxDominantColors - The maximum number of dominant colors to return when detecting labels in an image. The default value is 10.

detectLabelsImagePropertiesSettings_maxDominantColors :: Lens' DetectLabelsImagePropertiesSettings (Maybe Natural) Source #

The maximum number of dominant colors to return when detecting labels in an image. The default value is 10.

DetectLabelsImageQuality

data DetectLabelsImageQuality Source #

The quality of an image provided for label detection, with regard to brightness, sharpness, and contrast.

See: newDetectLabelsImageQuality smart constructor.

Constructors

DetectLabelsImageQuality'
Fields brightness :: Maybe Double The brightness of an image provided for label detection. contrast :: Maybe Double The contrast of an image provided for label detection. sharpness :: Maybe Double The sharpness of an image provided for label detection.

Instances

Instances details

FromJSON DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods parseJSON :: Value -> Parser DetectLabelsImageQuality # parseJSONList :: Value -> Parser [DetectLabelsImageQuality] #
Generic DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Associated Types type Rep DetectLabelsImageQuality :: Type -> Type # Methods from :: DetectLabelsImageQuality -> Rep DetectLabelsImageQuality x # to :: Rep DetectLabelsImageQuality x -> DetectLabelsImageQuality #
Read DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods readsPrec :: Int -> ReadS DetectLabelsImageQuality # readList :: ReadS [DetectLabelsImageQuality] # readPrec :: ReadPrec DetectLabelsImageQuality # readListPrec :: ReadPrec [DetectLabelsImageQuality] #
Show DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods showsPrec :: Int -> DetectLabelsImageQuality -> ShowS # show :: DetectLabelsImageQuality -> String # showList :: [DetectLabelsImageQuality] -> ShowS #
NFData DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods rnf :: DetectLabelsImageQuality -> () #
Eq DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods (==) :: DetectLabelsImageQuality -> DetectLabelsImageQuality -> Bool # (/=) :: DetectLabelsImageQuality -> DetectLabelsImageQuality -> Bool #
Hashable DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality Methods hashWithSalt :: Int -> DetectLabelsImageQuality -> Int # hash :: DetectLabelsImageQuality -> Int #
type Rep DetectLabelsImageQuality Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsImageQuality type Rep DetectLabelsImageQuality = D1 ('MetaData "DetectLabelsImageQuality" "Amazonka.Rekognition.Types.DetectLabelsImageQuality" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsImageQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "brightness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "contrast") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "sharpness") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newDetectLabelsImageQuality :: DetectLabelsImageQuality Source #

Create a value of DetectLabelsImageQuality with all optional fields omitted.

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

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

$sel:brightness:DetectLabelsImageQuality', detectLabelsImageQuality_brightness - The brightness of an image provided for label detection.

$sel:contrast:DetectLabelsImageQuality', detectLabelsImageQuality_contrast - The contrast of an image provided for label detection.

$sel:sharpness:DetectLabelsImageQuality', detectLabelsImageQuality_sharpness - The sharpness of an image provided for label detection.

detectLabelsImageQuality_brightness :: Lens' DetectLabelsImageQuality (Maybe Double) Source #

The brightness of an image provided for label detection.

detectLabelsImageQuality_contrast :: Lens' DetectLabelsImageQuality (Maybe Double) Source #

The contrast of an image provided for label detection.

detectLabelsImageQuality_sharpness :: Lens' DetectLabelsImageQuality (Maybe Double) Source #

The sharpness of an image provided for label detection.

DetectLabelsSettings

data DetectLabelsSettings Source #

Settings for the DetectLabels request. Settings can include filters for both GENERAL_LABELS and IMAGE_PROPERTIES. GENERAL_LABELS filters can be inclusive or exclusive and applied to individual labels or label categories. IMAGE_PROPERTIES filters allow specification of a maximum number of dominant colors.

See: newDetectLabelsSettings smart constructor.

Constructors

DetectLabelsSettings'
Fields generalLabels :: Maybe GeneralLabelsSettings Contains the specified filters for GENERAL_LABELS. imageProperties :: Maybe DetectLabelsImagePropertiesSettings Contains the chosen number of maximum dominant colors in an image.

Instances

Instances details

ToJSON DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods toJSON :: DetectLabelsSettings -> Value # toEncoding :: DetectLabelsSettings -> Encoding # toJSONList :: [DetectLabelsSettings] -> Value # toEncodingList :: [DetectLabelsSettings] -> Encoding #
Generic DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Associated Types type Rep DetectLabelsSettings :: Type -> Type # Methods from :: DetectLabelsSettings -> Rep DetectLabelsSettings x # to :: Rep DetectLabelsSettings x -> DetectLabelsSettings #
Read DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods readsPrec :: Int -> ReadS DetectLabelsSettings # readList :: ReadS [DetectLabelsSettings] # readPrec :: ReadPrec DetectLabelsSettings # readListPrec :: ReadPrec [DetectLabelsSettings] #
Show DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods showsPrec :: Int -> DetectLabelsSettings -> ShowS # show :: DetectLabelsSettings -> String # showList :: [DetectLabelsSettings] -> ShowS #
NFData DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods rnf :: DetectLabelsSettings -> () #
Eq DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods (==) :: DetectLabelsSettings -> DetectLabelsSettings -> Bool # (/=) :: DetectLabelsSettings -> DetectLabelsSettings -> Bool #
Hashable DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings Methods hashWithSalt :: Int -> DetectLabelsSettings -> Int # hash :: DetectLabelsSettings -> Int #
type Rep DetectLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectLabelsSettings type Rep DetectLabelsSettings = D1 ('MetaData "DetectLabelsSettings" "Amazonka.Rekognition.Types.DetectLabelsSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectLabelsSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "generalLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GeneralLabelsSettings)) :*: S1 ('MetaSel ('Just "imageProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectLabelsImagePropertiesSettings))))

newDetectLabelsSettings :: DetectLabelsSettings Source #

Create a value of DetectLabelsSettings with all optional fields omitted.

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

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

$sel:generalLabels:DetectLabelsSettings', detectLabelsSettings_generalLabels - Contains the specified filters for GENERAL_LABELS.

$sel:imageProperties:DetectLabelsSettings', detectLabelsSettings_imageProperties - Contains the chosen number of maximum dominant colors in an image.

detectLabelsSettings_generalLabels :: Lens' DetectLabelsSettings (Maybe GeneralLabelsSettings) Source #

Contains the specified filters for GENERAL_LABELS.

detectLabelsSettings_imageProperties :: Lens' DetectLabelsSettings (Maybe DetectLabelsImagePropertiesSettings) Source #

Contains the chosen number of maximum dominant colors in an image.

DetectTextFilters

data DetectTextFilters Source #

A set of optional parameters that you can use to set the criteria that the text must meet to be included in your response. WordFilter looks at a word’s height, width, and minimum confidence. RegionOfInterest lets you set a specific region of the image to look for text in.

See: newDetectTextFilters smart constructor.

Constructors

DetectTextFilters'
Fields regionsOfInterest :: Maybe [RegionOfInterest] A Filter focusing on a certain area of the image. Uses a `BoundingBox` object to set the region of the image. wordFilter :: Maybe DetectionFilter

Instances

Instances details

ToJSON DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods toJSON :: DetectTextFilters -> Value # toEncoding :: DetectTextFilters -> Encoding # toJSONList :: [DetectTextFilters] -> Value # toEncodingList :: [DetectTextFilters] -> Encoding #
Generic DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Associated Types type Rep DetectTextFilters :: Type -> Type # Methods from :: DetectTextFilters -> Rep DetectTextFilters x # to :: Rep DetectTextFilters x -> DetectTextFilters #
Read DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods readsPrec :: Int -> ReadS DetectTextFilters # readList :: ReadS [DetectTextFilters] # readPrec :: ReadPrec DetectTextFilters # readListPrec :: ReadPrec [DetectTextFilters] #
Show DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods showsPrec :: Int -> DetectTextFilters -> ShowS # show :: DetectTextFilters -> String # showList :: [DetectTextFilters] -> ShowS #
NFData DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods rnf :: DetectTextFilters -> () #
Eq DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods (==) :: DetectTextFilters -> DetectTextFilters -> Bool # (/=) :: DetectTextFilters -> DetectTextFilters -> Bool #
Hashable DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters Methods hashWithSalt :: Int -> DetectTextFilters -> Int # hash :: DetectTextFilters -> Int #
type Rep DetectTextFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectTextFilters type Rep DetectTextFilters = D1 ('MetaData "DetectTextFilters" "Amazonka.Rekognition.Types.DetectTextFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectTextFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :*: S1 ('MetaSel ('Just "wordFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectionFilter))))

newDetectTextFilters :: DetectTextFilters Source #

Create a value of DetectTextFilters with all optional fields omitted.

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

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

$sel:regionsOfInterest:DetectTextFilters', detectTextFilters_regionsOfInterest - A Filter focusing on a certain area of the image. Uses a BoundingBox object to set the region of the image.

$sel:wordFilter:DetectTextFilters', detectTextFilters_wordFilter - Undocumented member.

detectTextFilters_regionsOfInterest :: Lens' DetectTextFilters (Maybe [RegionOfInterest]) Source #

A Filter focusing on a certain area of the image. Uses a BoundingBox object to set the region of the image.

detectTextFilters_wordFilter :: Lens' DetectTextFilters (Maybe DetectionFilter) Source #

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'

Fields

minBoundingBoxHeight :: Maybe Double
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.
minBoundingBoxWidth :: Maybe Double
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.
minConfidence :: Maybe Double
Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 0 and 100. The default MinConfidence is 80.

Instances

Instances details

ToJSON DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods toJSON :: DetectionFilter -> Value # toEncoding :: DetectionFilter -> Encoding # toJSONList :: [DetectionFilter] -> Value # toEncodingList :: [DetectionFilter] -> Encoding #
Generic DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Associated Types type Rep DetectionFilter :: Type -> Type # Methods from :: DetectionFilter -> Rep DetectionFilter x # to :: Rep DetectionFilter x -> DetectionFilter #
Read DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods readsPrec :: Int -> ReadS DetectionFilter # readList :: ReadS [DetectionFilter] # readPrec :: ReadPrec DetectionFilter # readListPrec :: ReadPrec [DetectionFilter] #
Show DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods showsPrec :: Int -> DetectionFilter -> ShowS # show :: DetectionFilter -> String # showList :: [DetectionFilter] -> ShowS #
NFData DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods rnf :: DetectionFilter -> () #
Eq DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods (==) :: DetectionFilter -> DetectionFilter -> Bool # (/=) :: DetectionFilter -> DetectionFilter -> Bool #
Hashable DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter Methods hashWithSalt :: Int -> DetectionFilter -> Int # hash :: DetectionFilter -> Int #
type Rep DetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.DetectionFilter type Rep DetectionFilter = D1 ('MetaData "DetectionFilter" "Amazonka.Rekognition.Types.DetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minBoundingBoxHeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "minBoundingBoxWidth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newDetectionFilter :: DetectionFilter Source #

Create a value of DetectionFilter with all optional fields omitted.

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

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

$sel:minBoundingBoxHeight:DetectionFilter', detectionFilter_minBoundingBoxHeight - Sets the minimum height of the word bounding box. Words with bounding box heights lesser than this value will be excluded from the result. Value is relative to the video frame height.

$sel:minBoundingBoxWidth:DetectionFilter', detectionFilter_minBoundingBoxWidth - Sets the minimum width of the word bounding box. Words with bounding boxes widths lesser than this value will be excluded from the result. Value is relative to the video frame width.

$sel:minConfidence:DetectionFilter', detectionFilter_minConfidence - Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 0 and 100. The default MinConfidence is 80.

detectionFilter_minBoundingBoxHeight :: Lens' DetectionFilter (Maybe Double) Source #

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.

detectionFilter_minBoundingBoxWidth :: Lens' DetectionFilter (Maybe Double) Source #

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.

detectionFilter_minConfidence :: Lens' DetectionFilter (Maybe Double) Source #

Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 0 and 100. The default MinConfidence is 80.

DistributeDataset

data DistributeDataset Source #

A training dataset or a test dataset used in a dataset distribution operation. For more information, see DistributeDatasetEntries.

See: newDistributeDataset smart constructor.

Constructors

DistributeDataset'
Fields arn :: Text The Amazon Resource Name (ARN) of the dataset that you want to use.

Instances

Instances details

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

newDistributeDataset Source #

Arguments

:: Text	`$sel:arn:DistributeDataset'`
-> DistributeDataset

Create a value of DistributeDataset with all optional fields omitted.

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

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

$sel:arn:DistributeDataset', distributeDataset_arn - The Amazon Resource Name (ARN) of the dataset that you want to use.

distributeDataset_arn :: Lens' DistributeDataset Text Source #

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

DominantColor

data DominantColor Source #

A description of the dominant colors in an image.

See: newDominantColor smart constructor.

Constructors

DominantColor'

Fields

blue :: Maybe Natural
The Blue RGB value for a dominant color.
cSSColor :: Maybe Text
The CSS color name of a dominant color.
green :: Maybe Natural
The Green RGB value for a dominant color.
hexCode :: Maybe Text
The Hex code equivalent of the RGB values for a dominant color.
pixelPercent :: Maybe Double
The percentage of image pixels that have a given dominant color.
red :: Maybe Natural
The Red RGB value for a dominant color.
simplifiedColor :: Maybe Text
One of 12 simplified color names applied to a dominant color.

Instances

Instances details

FromJSON DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods parseJSON :: Value -> Parser DominantColor # parseJSONList :: Value -> Parser [DominantColor] #
Generic DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Associated Types type Rep DominantColor :: Type -> Type # Methods from :: DominantColor -> Rep DominantColor x # to :: Rep DominantColor x -> DominantColor #
Read DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods readsPrec :: Int -> ReadS DominantColor # readList :: ReadS [DominantColor] # readPrec :: ReadPrec DominantColor # readListPrec :: ReadPrec [DominantColor] #
Show DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods showsPrec :: Int -> DominantColor -> ShowS # show :: DominantColor -> String # showList :: [DominantColor] -> ShowS #
NFData DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods rnf :: DominantColor -> () #
Eq DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods (==) :: DominantColor -> DominantColor -> Bool # (/=) :: DominantColor -> DominantColor -> Bool #
Hashable DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor Methods hashWithSalt :: Int -> DominantColor -> Int # hash :: DominantColor -> Int #
type Rep DominantColor Source #
Instance details Defined in Amazonka.Rekognition.Types.DominantColor type Rep DominantColor = D1 ('MetaData "DominantColor" "Amazonka.Rekognition.Types.DominantColor" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DominantColor'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "blue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "cSSColor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "green") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: ((S1 ('MetaSel ('Just "hexCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pixelPercent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "red") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "simplifiedColor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDominantColor :: DominantColor Source #

Create a value of DominantColor with all optional fields omitted.

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

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

$sel:blue:DominantColor', dominantColor_blue - The Blue RGB value for a dominant color.

$sel:cSSColor:DominantColor', dominantColor_cSSColor - The CSS color name of a dominant color.

$sel:green:DominantColor', dominantColor_green - The Green RGB value for a dominant color.

$sel:hexCode:DominantColor', dominantColor_hexCode - The Hex code equivalent of the RGB values for a dominant color.

$sel:pixelPercent:DominantColor', dominantColor_pixelPercent - The percentage of image pixels that have a given dominant color.

$sel:red:DominantColor', dominantColor_red - The Red RGB value for a dominant color.

$sel:simplifiedColor:DominantColor', dominantColor_simplifiedColor - One of 12 simplified color names applied to a dominant color.

dominantColor_blue :: Lens' DominantColor (Maybe Natural) Source #

The Blue RGB value for a dominant color.

dominantColor_cSSColor :: Lens' DominantColor (Maybe Text) Source #

The CSS color name of a dominant color.

dominantColor_green :: Lens' DominantColor (Maybe Natural) Source #

The Green RGB value for a dominant color.

dominantColor_hexCode :: Lens' DominantColor (Maybe Text) Source #

The Hex code equivalent of the RGB values for a dominant color.

dominantColor_pixelPercent :: Lens' DominantColor (Maybe Double) Source #

The percentage of image pixels that have a given dominant color.

dominantColor_red :: Lens' DominantColor (Maybe Natural) Source #

The Red RGB value for a dominant color.

dominantColor_simplifiedColor :: Lens' DominantColor (Maybe Text) Source #

One of 12 simplified color names applied to a dominant color.

Emotion

data Emotion Source #

The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.

See: newEmotion smart constructor.

Constructors

Emotion'
Fields confidence :: Maybe Double Level of confidence in the determination. type' :: Maybe EmotionName Type of emotion detected.

Instances

Instances details

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

newEmotion :: Emotion Source #

Create a value of Emotion with all optional fields omitted.

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

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

$sel:confidence:Emotion', emotion_confidence - Level of confidence in the determination.

$sel:type':Emotion', emotion_type - Type of emotion detected.

emotion_confidence :: Lens' Emotion (Maybe Double) Source #

Level of confidence in the determination.

emotion_type :: Lens' Emotion (Maybe EmotionName) Source #

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'
Fields boundingBox :: Maybe BoundingBox A bounding box surrounding the item of detected PPE. confidence :: Maybe Double The confidence that Amazon Rekognition has that the bounding box (`BoundingBox`) contains an item of PPE. coversBodyPart :: Maybe CoversBodyPart Information about the body part covered by the detected PPE. type' :: Maybe ProtectiveEquipmentType The type of detected PPE.

Instances

Instances details

FromJSON EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods parseJSON :: Value -> Parser EquipmentDetection # parseJSONList :: Value -> Parser [EquipmentDetection] #
Generic EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Associated Types type Rep EquipmentDetection :: Type -> Type # Methods from :: EquipmentDetection -> Rep EquipmentDetection x # to :: Rep EquipmentDetection x -> EquipmentDetection #
Read EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods readsPrec :: Int -> ReadS EquipmentDetection # readList :: ReadS [EquipmentDetection] # readPrec :: ReadPrec EquipmentDetection # readListPrec :: ReadPrec [EquipmentDetection] #
Show EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods showsPrec :: Int -> EquipmentDetection -> ShowS # show :: EquipmentDetection -> String # showList :: [EquipmentDetection] -> ShowS #
NFData EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods rnf :: EquipmentDetection -> () #
Eq EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods (==) :: EquipmentDetection -> EquipmentDetection -> Bool # (/=) :: EquipmentDetection -> EquipmentDetection -> Bool #
Hashable EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection Methods hashWithSalt :: Int -> EquipmentDetection -> Int # hash :: EquipmentDetection -> Int #
type Rep EquipmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.EquipmentDetection type Rep EquipmentDetection = D1 ('MetaData "EquipmentDetection" "Amazonka.Rekognition.Types.EquipmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "EquipmentDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "coversBodyPart") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CoversBodyPart)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProtectiveEquipmentType)))))

newEquipmentDetection :: EquipmentDetection Source #

Create a value of EquipmentDetection with all optional fields omitted.

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

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

$sel:boundingBox:EquipmentDetection', equipmentDetection_boundingBox - A bounding box surrounding the item of detected PPE.

EquipmentDetection, equipmentDetection_confidence - The confidence that Amazon Rekognition has that the bounding box (BoundingBox) contains an item of PPE.

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

$sel:type':EquipmentDetection', equipmentDetection_type - The type of detected PPE.

equipmentDetection_boundingBox :: Lens' EquipmentDetection (Maybe BoundingBox) Source #

A bounding box surrounding the item of detected PPE.

equipmentDetection_confidence :: Lens' EquipmentDetection (Maybe Double) Source #

The confidence that Amazon Rekognition has that the bounding box (BoundingBox) contains an item of PPE.

equipmentDetection_coversBodyPart :: Lens' EquipmentDetection (Maybe CoversBodyPart) Source #

Information about the body part covered by the detected PPE.

equipmentDetection_type :: Lens' EquipmentDetection (Maybe ProtectiveEquipmentType) Source #

The type of detected PPE.

EvaluationResult

data EvaluationResult Source #

The evaluation results for the training of a model.

See: newEvaluationResult smart constructor.

Constructors

EvaluationResult'

Fields

f1Score :: Maybe Double
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.
summary :: Maybe Summary
The S3 bucket that contains the training summary.

Instances

Instances details

FromJSON EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods parseJSON :: Value -> Parser EvaluationResult # parseJSONList :: Value -> Parser [EvaluationResult] #
Generic EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Associated Types type Rep EvaluationResult :: Type -> Type # Methods from :: EvaluationResult -> Rep EvaluationResult x # to :: Rep EvaluationResult x -> EvaluationResult #
Read EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods readsPrec :: Int -> ReadS EvaluationResult # readList :: ReadS [EvaluationResult] # readPrec :: ReadPrec EvaluationResult # readListPrec :: ReadPrec [EvaluationResult] #
Show EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods showsPrec :: Int -> EvaluationResult -> ShowS # show :: EvaluationResult -> String # showList :: [EvaluationResult] -> ShowS #
NFData EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods rnf :: EvaluationResult -> () #
Eq EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods (==) :: EvaluationResult -> EvaluationResult -> Bool # (/=) :: EvaluationResult -> EvaluationResult -> Bool #
Hashable EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult Methods hashWithSalt :: Int -> EvaluationResult -> Int # hash :: EvaluationResult -> Int #
type Rep EvaluationResult Source #
Instance details Defined in Amazonka.Rekognition.Types.EvaluationResult type Rep EvaluationResult = D1 ('MetaData "EvaluationResult" "Amazonka.Rekognition.Types.EvaluationResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "EvaluationResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "f1Score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "summary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Summary))))

newEvaluationResult :: EvaluationResult Source #

Create a value of EvaluationResult with all optional fields omitted.

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

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

$sel:f1Score:EvaluationResult', evaluationResult_f1Score - The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.

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

evaluationResult_f1Score :: Lens' EvaluationResult (Maybe Double) Source #

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.

evaluationResult_summary :: Lens' EvaluationResult (Maybe Summary) Source #

The S3 bucket that contains the training summary.

EyeOpen

data EyeOpen Source #

Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

See: newEyeOpen smart constructor.

Constructors

EyeOpen'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the eyes on the face are open.

Instances

Instances details

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

newEyeOpen :: EyeOpen Source #

Create a value of EyeOpen with all optional fields omitted.

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

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

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

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

eyeOpen_confidence :: Lens' EyeOpen (Maybe Double) Source #

Level of confidence in the determination.

eyeOpen_value :: Lens' EyeOpen (Maybe Bool) Source #

Boolean value that indicates whether the eyes on the face are open.

Eyeglasses

data Eyeglasses Source #

Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

See: newEyeglasses smart constructor.

Constructors

Eyeglasses'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the face is wearing eye glasses or not.

Instances

Instances details

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

newEyeglasses :: Eyeglasses Source #

Create a value of Eyeglasses with all optional fields omitted.

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

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

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

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

eyeglasses_confidence :: Lens' Eyeglasses (Maybe Double) Source #

Level of confidence in the determination.

eyeglasses_value :: Lens' Eyeglasses (Maybe Bool) Source #

Boolean value that indicates whether the face is wearing eye glasses or not.

Face

data Face Source #

Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.

See: newFace smart constructor.

Constructors

Face'

Fields

boundingBox :: Maybe BoundingBox
Bounding box of the face.
confidence :: Maybe Double
Confidence level that the bounding box contains a face (and not a different object such as a tree).
externalImageId :: Maybe Text
Identifier that you assign to all the faces in the input image.
faceId :: Maybe Text
Unique identifier that Amazon Rekognition assigns to the face.
imageId :: Maybe Text
Unique identifier that Amazon Rekognition assigns to the input image.
indexFacesModelVersion :: Maybe Text
The version of the face detect and storage model that was used when indexing the face vector.

Instances

Instances details

FromJSON Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods parseJSON :: Value -> Parser Face # parseJSONList :: Value -> Parser [Face] #
Generic Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Associated Types type Rep Face :: Type -> Type # Methods from :: Face -> Rep Face x # to :: Rep Face x -> Face #
Read Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods readsPrec :: Int -> ReadS Face # readList :: ReadS [Face] # readPrec :: ReadPrec Face # readListPrec :: ReadPrec [Face] #
Show Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods showsPrec :: Int -> Face -> ShowS # show :: Face -> String # showList :: [Face] -> ShowS #
NFData Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods rnf :: Face -> () #
Eq Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods (==) :: Face -> Face -> Bool # (/=) :: Face -> Face -> Bool #
Hashable Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face Methods hashWithSalt :: Int -> Face -> Int # hash :: Face -> Int #
type Rep Face Source #
Instance details Defined in Amazonka.Rekognition.Types.Face type Rep Face = D1 ('MetaData "Face" "Amazonka.Rekognition.Types.Face" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Face'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "externalImageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "faceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "imageId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "indexFacesModelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFace :: Face Source #

Create a value of Face with all optional fields omitted.

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

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

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

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

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

$sel:faceId:Face', face_faceId - Unique identifier that Amazon Rekognition assigns to the face.

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

$sel:indexFacesModelVersion:Face', face_indexFacesModelVersion - The version of the face detect and storage model that was used when indexing the face vector.

face_boundingBox :: Lens' Face (Maybe BoundingBox) Source #

Bounding box of the face.

face_confidence :: Lens' Face (Maybe Double) Source #

Confidence level that the bounding box contains a face (and not a different object such as a tree).

face_externalImageId :: Lens' Face (Maybe Text) Source #

Identifier that you assign to all the faces in the input image.

face_faceId :: Lens' Face (Maybe Text) Source #

Unique identifier that Amazon Rekognition assigns to the face.

face_imageId :: Lens' Face (Maybe Text) Source #

Unique identifier that Amazon Rekognition assigns to the input image.

face_indexFacesModelVersion :: Lens' Face (Maybe Text) Source #

The version of the face detect and storage model that was used when indexing the face vector.

FaceDetail

data FaceDetail Source #

Structure containing attributes of the face that the algorithm detected.

A FaceDetail object contains either the default facial attributes or all facial attributes. The default attributes are BoundingBox, Confidence, Landmarks, Pose, and Quality.

GetFaceDetection is the only Amazon Rekognition Video stored video operation that can return a FaceDetail object with all attributes. To specify which attributes to return, use the FaceAttributes input parameter for StartFaceDetection. The following Amazon Rekognition Video operations return only the default attributes. The corresponding Start operations don't have a FaceAttributes input parameter:

GetCelebrityRecognition
GetPersonTracking
GetFaceSearch

The Amazon Rekognition Image DetectFaces and IndexFaces operations can return all facial attributes. To specify which attributes to return, use the Attributes input parameter for DetectFaces. For IndexFaces, use the DetectAttributes input parameter.

See: newFaceDetail smart constructor.

Constructors

FaceDetail'

Fields

ageRange :: Maybe AgeRange
The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.
beard :: Maybe Beard
Indicates whether or not the face has a beard, and the confidence level in the determination.
boundingBox :: Maybe BoundingBox
Bounding box of the face. Default attribute.
confidence :: Maybe Double
Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.
emotions :: Maybe [Emotion]
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.
eyeglasses :: Maybe Eyeglasses
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
eyesOpen :: Maybe EyeOpen
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
gender :: Maybe Gender
The predicted gender of a detected face.
landmarks :: Maybe [Landmark]
Indicates the location of landmarks on the face. Default attribute.
mouthOpen :: Maybe MouthOpen
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
mustache :: Maybe Mustache
Indicates whether or not the face has a mustache, and the confidence level in the determination.
pose :: Maybe Pose
Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.
quality :: Maybe ImageQuality
Identifies image brightness and sharpness. Default attribute.
smile :: Maybe Smile
Indicates whether or not the face is smiling, and the confidence level in the determination.
sunglasses :: Maybe Sunglasses
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

Instances

Instances details

FromJSON FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods parseJSON :: Value -> Parser FaceDetail # parseJSONList :: Value -> Parser [FaceDetail] #
Generic FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Associated Types type Rep FaceDetail :: Type -> Type # Methods from :: FaceDetail -> Rep FaceDetail x # to :: Rep FaceDetail x -> FaceDetail #
Read FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods readsPrec :: Int -> ReadS FaceDetail # readList :: ReadS [FaceDetail] # readPrec :: ReadPrec FaceDetail # readListPrec :: ReadPrec [FaceDetail] #
Show FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods showsPrec :: Int -> FaceDetail -> ShowS # show :: FaceDetail -> String # showList :: [FaceDetail] -> ShowS #
NFData FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods rnf :: FaceDetail -> () #
Eq FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods (==) :: FaceDetail -> FaceDetail -> Bool # (/=) :: FaceDetail -> FaceDetail -> Bool #
Hashable FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail Methods hashWithSalt :: Int -> FaceDetail -> Int # hash :: FaceDetail -> Int #
type Rep FaceDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetail type Rep FaceDetail = D1 ('MetaData "FaceDetail" "Amazonka.Rekognition.Types.FaceDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceDetail'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "ageRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AgeRange)) :: (S1 ('MetaSel ('Just "beard") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Beard)) :: S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)))) :: ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "emotions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Emotion]))) :: (S1 ('MetaSel ('Just "eyeglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Eyeglasses)) :: S1 ('MetaSel ('Just "eyesOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EyeOpen))))) :: (((S1 ('MetaSel ('Just "gender") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Gender)) :: S1 ('MetaSel ('Just "landmarks") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Landmark]))) :: (S1 ('MetaSel ('Just "mouthOpen") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MouthOpen)) :: S1 ('MetaSel ('Just "mustache") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Mustache)))) :: ((S1 ('MetaSel ('Just "pose") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pose)) :: S1 ('MetaSel ('Just "quality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageQuality))) :: (S1 ('MetaSel ('Just "smile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Smile)) :: S1 ('MetaSel ('Just "sunglasses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Sunglasses)))))))

newFaceDetail :: FaceDetail Source #

Create a value of FaceDetail with all optional fields omitted.

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

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

$sel:ageRange:FaceDetail', faceDetail_ageRange - The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.

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

$sel:boundingBox:FaceDetail', faceDetail_boundingBox - Bounding box of the face. Default attribute.

FaceDetail, faceDetail_confidence - Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.

$sel:emotions:FaceDetail', faceDetail_emotions - The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.

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

$sel:eyesOpen:FaceDetail', faceDetail_eyesOpen - Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

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

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

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

$sel:mustache:FaceDetail', faceDetail_mustache - Indicates whether or not the face has a mustache, and the confidence level in the determination.

$sel:pose:FaceDetail', faceDetail_pose - Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.

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

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

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

faceDetail_ageRange :: Lens' FaceDetail (Maybe AgeRange) Source #

The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.

faceDetail_beard :: Lens' FaceDetail (Maybe Beard) Source #

Indicates whether or not the face has a beard, and the confidence level in the determination.

faceDetail_boundingBox :: Lens' FaceDetail (Maybe BoundingBox) Source #

Bounding box of the face. Default attribute.

faceDetail_confidence :: Lens' FaceDetail (Maybe Double) Source #

Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.

faceDetail_emotions :: Lens' FaceDetail (Maybe [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.

faceDetail_eyeglasses :: Lens' FaceDetail (Maybe Eyeglasses) Source #

Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

faceDetail_eyesOpen :: Lens' FaceDetail (Maybe EyeOpen) Source #

Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

faceDetail_gender :: Lens' FaceDetail (Maybe Gender) Source #

The predicted gender of a detected face.

faceDetail_landmarks :: Lens' FaceDetail (Maybe [Landmark]) Source #

Indicates the location of landmarks on the face. Default attribute.

faceDetail_mouthOpen :: Lens' FaceDetail (Maybe MouthOpen) Source #

Indicates whether or not the mouth on the face is open, and the confidence level in the determination.

faceDetail_mustache :: Lens' FaceDetail (Maybe Mustache) Source #

Indicates whether or not the face has a mustache, and the confidence level in the determination.

faceDetail_pose :: Lens' FaceDetail (Maybe Pose) Source #

Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.

faceDetail_quality :: Lens' FaceDetail (Maybe ImageQuality) Source #

Identifies image brightness and sharpness. Default attribute.

faceDetail_smile :: Lens' FaceDetail (Maybe Smile) Source #

Indicates whether or not the face is smiling, and the confidence level in the determination.

faceDetail_sunglasses :: Lens' FaceDetail (Maybe Sunglasses) Source #

Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

FaceDetection

data FaceDetection Source #

Information about a face detected in a video analysis request and the time the face was detected in the video.

See: newFaceDetection smart constructor.

Constructors

FaceDetection'
Fields face :: Maybe FaceDetail The face properties for the detected face. timestamp :: Maybe Integer Time, in milliseconds from the start of the video, that the face was detected. Note that `Timestamp` is not guaranteed to be accurate to the individual frame where the face first appears.

Instances

Instances details

FromJSON FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods parseJSON :: Value -> Parser FaceDetection # parseJSONList :: Value -> Parser [FaceDetection] #
Generic FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Associated Types type Rep FaceDetection :: Type -> Type # Methods from :: FaceDetection -> Rep FaceDetection x # to :: Rep FaceDetection x -> FaceDetection #
Read FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods readsPrec :: Int -> ReadS FaceDetection # readList :: ReadS [FaceDetection] # readPrec :: ReadPrec FaceDetection # readListPrec :: ReadPrec [FaceDetection] #
Show FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods showsPrec :: Int -> FaceDetection -> ShowS # show :: FaceDetection -> String # showList :: [FaceDetection] -> ShowS #
NFData FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods rnf :: FaceDetection -> () #
Eq FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods (==) :: FaceDetection -> FaceDetection -> Bool # (/=) :: FaceDetection -> FaceDetection -> Bool #
Hashable FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection Methods hashWithSalt :: Int -> FaceDetection -> Int # hash :: FaceDetection -> Int #
type Rep FaceDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceDetection type Rep FaceDetection = D1 ('MetaData "FaceDetection" "Amazonka.Rekognition.Types.FaceDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newFaceDetection :: FaceDetection Source #

Create a value of FaceDetection with all optional fields omitted.

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

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

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

$sel:timestamp:FaceDetection', faceDetection_timestamp - Time, in milliseconds from the start of the video, that the face was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the face first appears.

faceDetection_face :: Lens' FaceDetection (Maybe FaceDetail) Source #

The face properties for the detected face.

faceDetection_timestamp :: Lens' FaceDetection (Maybe Integer) Source #

Time, in milliseconds from the start of the video, that the face was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the face first appears.

FaceMatch

data FaceMatch Source #

Provides face metadata. In addition, it also provides the confidence in the match of this face with the input face.

See: newFaceMatch smart constructor.

Constructors

FaceMatch'
Fields face :: Maybe 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. similarity :: Maybe Double Confidence in the match of this face with the input face.

Instances

Instances details

FromJSON FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods parseJSON :: Value -> Parser FaceMatch # parseJSONList :: Value -> Parser [FaceMatch] #
Generic FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Associated Types type Rep FaceMatch :: Type -> Type # Methods from :: FaceMatch -> Rep FaceMatch x # to :: Rep FaceMatch x -> FaceMatch #
Read FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods readsPrec :: Int -> ReadS FaceMatch # readList :: ReadS [FaceMatch] # readPrec :: ReadPrec FaceMatch # readListPrec :: ReadPrec [FaceMatch] #
Show FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods showsPrec :: Int -> FaceMatch -> ShowS # show :: FaceMatch -> String # showList :: [FaceMatch] -> ShowS #
NFData FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods rnf :: FaceMatch -> () #
Eq FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods (==) :: FaceMatch -> FaceMatch -> Bool # (/=) :: FaceMatch -> FaceMatch -> Bool #
Hashable FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch Methods hashWithSalt :: Int -> FaceMatch -> Int # hash :: FaceMatch -> Int #
type Rep FaceMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceMatch type Rep FaceMatch = D1 ('MetaData "FaceMatch" "Amazonka.Rekognition.Types.FaceMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face)) :*: S1 ('MetaSel ('Just "similarity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newFaceMatch :: FaceMatch Source #

Create a value of FaceMatch with all optional fields omitted.

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

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

$sel:face:FaceMatch', faceMatch_face - Describes the face properties such as the bounding box, face ID, image ID of the source image, and external image ID that you assigned.

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

faceMatch_face :: Lens' FaceMatch (Maybe Face) Source #

Describes the face properties such as the bounding box, face ID, image ID of the source image, and external image ID that you assigned.

Confidence in the match of this face with the input face.

FaceRecord

data FaceRecord Source #

Object containing both the face metadata (stored in the backend database), and facial attributes that are detected but aren't stored in the database.

See: newFaceRecord smart constructor.

Constructors

FaceRecord'
Fields face :: Maybe 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. faceDetail :: Maybe FaceDetail Structure containing attributes of the face that the algorithm detected.

Instances

Instances details

FromJSON FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods parseJSON :: Value -> Parser FaceRecord # parseJSONList :: Value -> Parser [FaceRecord] #
Generic FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Associated Types type Rep FaceRecord :: Type -> Type # Methods from :: FaceRecord -> Rep FaceRecord x # to :: Rep FaceRecord x -> FaceRecord #
Read FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods readsPrec :: Int -> ReadS FaceRecord # readList :: ReadS [FaceRecord] # readPrec :: ReadPrec FaceRecord # readListPrec :: ReadPrec [FaceRecord] #
Show FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods showsPrec :: Int -> FaceRecord -> ShowS # show :: FaceRecord -> String # showList :: [FaceRecord] -> ShowS #
NFData FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods rnf :: FaceRecord -> () #
Eq FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods (==) :: FaceRecord -> FaceRecord -> Bool # (/=) :: FaceRecord -> FaceRecord -> Bool #
Hashable FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord Methods hashWithSalt :: Int -> FaceRecord -> Int # hash :: FaceRecord -> Int #
type Rep FaceRecord Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceRecord type Rep FaceRecord = D1 ('MetaData "FaceRecord" "Amazonka.Rekognition.Types.FaceRecord" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceRecord'" 'PrefixI 'True) (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Face)) :*: S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail))))

newFaceRecord :: FaceRecord Source #

Create a value of FaceRecord with all optional fields omitted.

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

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

$sel:face:FaceRecord', faceRecord_face - Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.

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

faceRecord_face :: Lens' FaceRecord (Maybe 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.

faceRecord_faceDetail :: Lens' FaceRecord (Maybe FaceDetail) Source #

Structure containing attributes of the face that the algorithm detected.

FaceSearchSettings

data FaceSearchSettings Source #

Input face recognition parameters for an Amazon Rekognition stream processor. Includes the collection to use for face recognition and the face attributes to detect. Defining the settings is required in the request parameter for CreateStreamProcessor.

See: newFaceSearchSettings smart constructor.

Constructors

FaceSearchSettings'
Fields collectionId :: Maybe Text The ID of a collection that contains faces that you want to search for. faceMatchThreshold :: Maybe Double Minimum face match confidence score that must be met to return a result for a recognized face. The default is 80. 0 is the lowest confidence. 100 is the highest confidence. Values between 0 and 100 are accepted, and values lower than 80 are set to 80.

Instances

Instances details

FromJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods parseJSON :: Value -> Parser FaceSearchSettings # parseJSONList :: Value -> Parser [FaceSearchSettings] #
ToJSON FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods toJSON :: FaceSearchSettings -> Value # toEncoding :: FaceSearchSettings -> Encoding # toJSONList :: [FaceSearchSettings] -> Value # toEncodingList :: [FaceSearchSettings] -> Encoding #
Generic FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Associated Types type Rep FaceSearchSettings :: Type -> Type # Methods from :: FaceSearchSettings -> Rep FaceSearchSettings x # to :: Rep FaceSearchSettings x -> FaceSearchSettings #
Read FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods readsPrec :: Int -> ReadS FaceSearchSettings # readList :: ReadS [FaceSearchSettings] # readPrec :: ReadPrec FaceSearchSettings # readListPrec :: ReadPrec [FaceSearchSettings] #
Show FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods showsPrec :: Int -> FaceSearchSettings -> ShowS # show :: FaceSearchSettings -> String # showList :: [FaceSearchSettings] -> ShowS #
NFData FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods rnf :: FaceSearchSettings -> () #
Eq FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods (==) :: FaceSearchSettings -> FaceSearchSettings -> Bool # (/=) :: FaceSearchSettings -> FaceSearchSettings -> Bool #
Hashable FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings Methods hashWithSalt :: Int -> FaceSearchSettings -> Int # hash :: FaceSearchSettings -> Int #
type Rep FaceSearchSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.FaceSearchSettings type Rep FaceSearchSettings = D1 ('MetaData "FaceSearchSettings" "Amazonka.Rekognition.Types.FaceSearchSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "FaceSearchSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "faceMatchThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newFaceSearchSettings :: FaceSearchSettings Source #

Create a value of FaceSearchSettings with all optional fields omitted.

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

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

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

$sel:faceMatchThreshold:FaceSearchSettings', faceSearchSettings_faceMatchThreshold - Minimum face match confidence score that must be met to return a result for a recognized face. The default is 80. 0 is the lowest confidence. 100 is the highest confidence. Values between 0 and 100 are accepted, and values lower than 80 are set to 80.

faceSearchSettings_collectionId :: Lens' FaceSearchSettings (Maybe Text) Source #

The ID of a collection that contains faces that you want to search for.

faceSearchSettings_faceMatchThreshold :: Lens' FaceSearchSettings (Maybe Double) Source #

Minimum face match confidence score that must be met to return a result for a recognized face. The default is 80. 0 is the lowest confidence. 100 is the highest confidence. Values between 0 and 100 are accepted, and values lower than 80 are set to 80.

Gender

data Gender Source #

The predicted gender of a detected face.

Amazon Rekognition makes gender binary (male/female) predictions based on the physical appearance of a face in a particular image. This kind of prediction is not designed to categorize a person’s gender identity, and you shouldn't use Amazon Rekognition to make such a determination. For example, a male actor wearing a long-haired wig and earrings for a role might be predicted as female.

Using Amazon Rekognition to make gender binary predictions is best suited for use cases where aggregate gender distribution statistics need to be analyzed without identifying specific users. For example, the percentage of female users compared to male users on a social media platform.

We don't recommend using gender binary predictions to make decisions that impact an individual's rights, privacy, or access to services.

See: newGender smart constructor.

Constructors

Gender'
Fields confidence :: Maybe Double Level of confidence in the prediction. value :: Maybe GenderType The predicted gender of the face.

Instances

Instances details

FromJSON Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods parseJSON :: Value -> Parser Gender # parseJSONList :: Value -> Parser [Gender] #
Generic Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Associated Types type Rep Gender :: Type -> Type # Methods from :: Gender -> Rep Gender x # to :: Rep Gender x -> Gender #
Read Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods readsPrec :: Int -> ReadS Gender # readList :: ReadS [Gender] # readPrec :: ReadPrec Gender # readListPrec :: ReadPrec [Gender] #
Show Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods showsPrec :: Int -> Gender -> ShowS # show :: Gender -> String # showList :: [Gender] -> ShowS #
NFData Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods rnf :: Gender -> () #
Eq Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods (==) :: Gender -> Gender -> Bool # (/=) :: Gender -> Gender -> Bool #
Hashable Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender Methods hashWithSalt :: Int -> Gender -> Int # hash :: Gender -> Int #
type Rep Gender Source #
Instance details Defined in Amazonka.Rekognition.Types.Gender type Rep Gender = D1 ('MetaData "Gender" "Amazonka.Rekognition.Types.Gender" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Gender'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GenderType))))

newGender :: Gender Source #

Create a value of Gender with all optional fields omitted.

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

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

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

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

gender_confidence :: Lens' Gender (Maybe Double) Source #

Level of confidence in the prediction.

gender_value :: Lens' Gender (Maybe GenderType) Source #

The predicted gender of the face.

GeneralLabelsSettings

data GeneralLabelsSettings Source #

Contains filters for the object labels returned by DetectLabels. Filters can be inclusive, exclusive, or a combination of both and can be applied to individual l abels or entire label categories.

See: newGeneralLabelsSettings smart constructor.

Constructors

GeneralLabelsSettings'

Fields

labelCategoryExclusionFilters :: Maybe [Text]
The label categories that should be excluded from the return from DetectLabels.
labelCategoryInclusionFilters :: Maybe [Text]
The label categories that should be included in the return from DetectLabels.
labelExclusionFilters :: Maybe [Text]
The labels that should be excluded from the return from DetectLabels.
labelInclusionFilters :: Maybe [Text]
The labels that should be included in the return from DetectLabels.

Instances

Instances details

ToJSON GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods toJSON :: GeneralLabelsSettings -> Value # toEncoding :: GeneralLabelsSettings -> Encoding # toJSONList :: [GeneralLabelsSettings] -> Value # toEncodingList :: [GeneralLabelsSettings] -> Encoding #
Generic GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Associated Types type Rep GeneralLabelsSettings :: Type -> Type # Methods from :: GeneralLabelsSettings -> Rep GeneralLabelsSettings x # to :: Rep GeneralLabelsSettings x -> GeneralLabelsSettings #
Read GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods readsPrec :: Int -> ReadS GeneralLabelsSettings # readList :: ReadS [GeneralLabelsSettings] # readPrec :: ReadPrec GeneralLabelsSettings # readListPrec :: ReadPrec [GeneralLabelsSettings] #
Show GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods showsPrec :: Int -> GeneralLabelsSettings -> ShowS # show :: GeneralLabelsSettings -> String # showList :: [GeneralLabelsSettings] -> ShowS #
NFData GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods rnf :: GeneralLabelsSettings -> () #
Eq GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods (==) :: GeneralLabelsSettings -> GeneralLabelsSettings -> Bool # (/=) :: GeneralLabelsSettings -> GeneralLabelsSettings -> Bool #
Hashable GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings Methods hashWithSalt :: Int -> GeneralLabelsSettings -> Int # hash :: GeneralLabelsSettings -> Int #
type Rep GeneralLabelsSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.GeneralLabelsSettings type Rep GeneralLabelsSettings = D1 ('MetaData "GeneralLabelsSettings" "Amazonka.Rekognition.Types.GeneralLabelsSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GeneralLabelsSettings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "labelCategoryExclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "labelCategoryInclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "labelExclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "labelInclusionFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newGeneralLabelsSettings :: GeneralLabelsSettings Source #

Create a value of GeneralLabelsSettings with all optional fields omitted.

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

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

$sel:labelCategoryExclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelCategoryExclusionFilters - The label categories that should be excluded from the return from DetectLabels.

$sel:labelCategoryInclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelCategoryInclusionFilters - The label categories that should be included in the return from DetectLabels.

$sel:labelExclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelExclusionFilters - The labels that should be excluded from the return from DetectLabels.

$sel:labelInclusionFilters:GeneralLabelsSettings', generalLabelsSettings_labelInclusionFilters - The labels that should be included in the return from DetectLabels.

generalLabelsSettings_labelCategoryExclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text]) Source #

The label categories that should be excluded from the return from DetectLabels.

generalLabelsSettings_labelCategoryInclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text]) Source #

The label categories that should be included in the return from DetectLabels.

generalLabelsSettings_labelExclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text]) Source #

The labels that should be excluded from the return from DetectLabels.

generalLabelsSettings_labelInclusionFilters :: Lens' GeneralLabelsSettings (Maybe [Text]) Source #

The labels that should be included in the return from DetectLabels.

Geometry

data Geometry Source #

Information about where an object (DetectCustomLabels) or text (DetectText) is located on an image.

See: newGeometry smart constructor.

Constructors

Geometry'
Fields boundingBox :: Maybe BoundingBox An axis-aligned coarse representation of the detected item's location on the image. polygon :: Maybe [Point] Within the bounding box, a fine-grained polygon around the detected item.

Instances

Instances details

FromJSON Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods parseJSON :: Value -> Parser Geometry # parseJSONList :: Value -> Parser [Geometry] #
Generic Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Associated Types type Rep Geometry :: Type -> Type # Methods from :: Geometry -> Rep Geometry x # to :: Rep Geometry x -> Geometry #
Read Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods readsPrec :: Int -> ReadS Geometry # readList :: ReadS [Geometry] # readPrec :: ReadPrec Geometry # readListPrec :: ReadPrec [Geometry] #
Show Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods showsPrec :: Int -> Geometry -> ShowS # show :: Geometry -> String # showList :: [Geometry] -> ShowS #
NFData Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods rnf :: Geometry -> () #
Eq Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods (==) :: Geometry -> Geometry -> Bool # (/=) :: Geometry -> Geometry -> Bool #
Hashable Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry Methods hashWithSalt :: Int -> Geometry -> Int # hash :: Geometry -> Int #
type Rep Geometry Source #
Instance details Defined in Amazonka.Rekognition.Types.Geometry type Rep Geometry = D1 ('MetaData "Geometry" "Amazonka.Rekognition.Types.Geometry" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Geometry'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "polygon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Point]))))

newGeometry :: Geometry Source #

Create a value of Geometry with all optional fields omitted.

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

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

$sel:boundingBox:Geometry', geometry_boundingBox - An axis-aligned coarse representation of the detected item's location on the image.

$sel:polygon:Geometry', geometry_polygon - Within the bounding box, a fine-grained polygon around the detected item.

geometry_boundingBox :: Lens' Geometry (Maybe BoundingBox) Source #

An axis-aligned coarse representation of the detected item's location on the image.

geometry_polygon :: Lens' Geometry (Maybe [Point]) Source #

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'
Fields s3Object :: Maybe S3Object

Instances

Instances details

FromJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods parseJSON :: Value -> Parser GroundTruthManifest # parseJSONList :: Value -> Parser [GroundTruthManifest] #
ToJSON GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods toJSON :: GroundTruthManifest -> Value # toEncoding :: GroundTruthManifest -> Encoding # toJSONList :: [GroundTruthManifest] -> Value # toEncodingList :: [GroundTruthManifest] -> Encoding #
Generic GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Associated Types type Rep GroundTruthManifest :: Type -> Type # Methods from :: GroundTruthManifest -> Rep GroundTruthManifest x # to :: Rep GroundTruthManifest x -> GroundTruthManifest #
Read GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods readsPrec :: Int -> ReadS GroundTruthManifest # readList :: ReadS [GroundTruthManifest] # readPrec :: ReadPrec GroundTruthManifest # readListPrec :: ReadPrec [GroundTruthManifest] #
Show GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods showsPrec :: Int -> GroundTruthManifest -> ShowS # show :: GroundTruthManifest -> String # showList :: [GroundTruthManifest] -> ShowS #
NFData GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods rnf :: GroundTruthManifest -> () #
Eq GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods (==) :: GroundTruthManifest -> GroundTruthManifest -> Bool # (/=) :: GroundTruthManifest -> GroundTruthManifest -> Bool #
Hashable GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest Methods hashWithSalt :: Int -> GroundTruthManifest -> Int # hash :: GroundTruthManifest -> Int #
type Rep GroundTruthManifest Source #
Instance details Defined in Amazonka.Rekognition.Types.GroundTruthManifest type Rep GroundTruthManifest = D1 ('MetaData "GroundTruthManifest" "Amazonka.Rekognition.Types.GroundTruthManifest" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "GroundTruthManifest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newGroundTruthManifest :: GroundTruthManifest Source #

Create a value of GroundTruthManifest with all optional fields omitted.

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

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

$sel:s3Object:GroundTruthManifest', groundTruthManifest_s3Object - Undocumented member.

groundTruthManifest_s3Object :: Lens' GroundTruthManifest (Maybe S3Object) Source #

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'
Fields humanLoopActivationConditionsEvaluationResults :: Maybe Text Shows the result of condition evaluations, including those conditions which activated a human review. humanLoopActivationReasons :: Maybe (NonEmpty Text) Shows if and why human review was needed. humanLoopArn :: Maybe Text The Amazon Resource Name (ARN) of the HumanLoop created.

Instances

Instances details

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

newHumanLoopActivationOutput :: HumanLoopActivationOutput Source #

Create a value of HumanLoopActivationOutput with all optional fields omitted.

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

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

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

$sel:humanLoopActivationReasons:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopActivationReasons - Shows if and why human review was needed.

$sel:humanLoopArn:HumanLoopActivationOutput', humanLoopActivationOutput_humanLoopArn - The Amazon Resource Name (ARN) of the HumanLoop created.

humanLoopActivationOutput_humanLoopActivationConditionsEvaluationResults :: Lens' HumanLoopActivationOutput (Maybe Text) Source #

Shows the result of condition evaluations, including those conditions which activated a human review.

humanLoopActivationOutput_humanLoopActivationReasons :: Lens' HumanLoopActivationOutput (Maybe (NonEmpty Text)) Source #

Shows if and why human review was needed.

humanLoopActivationOutput_humanLoopArn :: Lens' HumanLoopActivationOutput (Maybe Text) Source #

The Amazon Resource Name (ARN) of the HumanLoop created.

HumanLoopConfig

data HumanLoopConfig Source #

Sets up the flow definition the image will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.

See: newHumanLoopConfig smart constructor.

Constructors

HumanLoopConfig'
Fields dataAttributes :: Maybe HumanLoopDataAttributes Sets attributes of the input data. humanLoopName :: Text The name of the human review used for this image. This should be kept unique within a region. flowDefinitionArn :: Text The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.

Instances

Instances details

ToJSON HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods toJSON :: HumanLoopConfig -> Value # toEncoding :: HumanLoopConfig -> Encoding # toJSONList :: [HumanLoopConfig] -> Value # toEncodingList :: [HumanLoopConfig] -> Encoding #
Generic HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Associated Types type Rep HumanLoopConfig :: Type -> Type # Methods from :: HumanLoopConfig -> Rep HumanLoopConfig x # to :: Rep HumanLoopConfig x -> HumanLoopConfig #
Read HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods readsPrec :: Int -> ReadS HumanLoopConfig # readList :: ReadS [HumanLoopConfig] # readPrec :: ReadPrec HumanLoopConfig # readListPrec :: ReadPrec [HumanLoopConfig] #
Show HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods showsPrec :: Int -> HumanLoopConfig -> ShowS # show :: HumanLoopConfig -> String # showList :: [HumanLoopConfig] -> ShowS #
NFData HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods rnf :: HumanLoopConfig -> () #
Eq HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods (==) :: HumanLoopConfig -> HumanLoopConfig -> Bool # (/=) :: HumanLoopConfig -> HumanLoopConfig -> Bool #
Hashable HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig Methods hashWithSalt :: Int -> HumanLoopConfig -> Int # hash :: HumanLoopConfig -> Int #
type Rep HumanLoopConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopConfig type Rep HumanLoopConfig = D1 ('MetaData "HumanLoopConfig" "Amazonka.Rekognition.Types.HumanLoopConfig" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopDataAttributes)) :: (S1 ('MetaSel ('Just "humanLoopName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "flowDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newHumanLoopConfig Source #

Arguments

:: Text	`$sel:humanLoopName:HumanLoopConfig'`
-> Text	`$sel:flowDefinitionArn:HumanLoopConfig'`
-> HumanLoopConfig

Create a value of HumanLoopConfig with all optional fields omitted.

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

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

$sel:dataAttributes:HumanLoopConfig', humanLoopConfig_dataAttributes - Sets attributes of the input data.

$sel:humanLoopName:HumanLoopConfig', humanLoopConfig_humanLoopName - The name of the human review used for this image. This should be kept unique within a region.

$sel:flowDefinitionArn:HumanLoopConfig', humanLoopConfig_flowDefinitionArn - The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.

humanLoopConfig_dataAttributes :: Lens' HumanLoopConfig (Maybe HumanLoopDataAttributes) Source #

Sets attributes of the input data.

humanLoopConfig_humanLoopName :: Lens' HumanLoopConfig Text Source #

The name of the human review used for this image. This should be kept unique within a region.

humanLoopConfig_flowDefinitionArn :: Lens' HumanLoopConfig Text Source #

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'
Fields contentClassifiers :: Maybe [ContentClassifier] Sets whether the input image is free of personally identifiable information.

Instances

Instances details

ToJSON HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods toJSON :: HumanLoopDataAttributes -> Value # toEncoding :: HumanLoopDataAttributes -> Encoding # toJSONList :: [HumanLoopDataAttributes] -> Value # toEncodingList :: [HumanLoopDataAttributes] -> Encoding #
Generic HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Associated Types type Rep HumanLoopDataAttributes :: Type -> Type # Methods from :: HumanLoopDataAttributes -> Rep HumanLoopDataAttributes x # to :: Rep HumanLoopDataAttributes x -> HumanLoopDataAttributes #
Read HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods readsPrec :: Int -> ReadS HumanLoopDataAttributes # readList :: ReadS [HumanLoopDataAttributes] # readPrec :: ReadPrec HumanLoopDataAttributes # readListPrec :: ReadPrec [HumanLoopDataAttributes] #
Show HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods showsPrec :: Int -> HumanLoopDataAttributes -> ShowS # show :: HumanLoopDataAttributes -> String # showList :: [HumanLoopDataAttributes] -> ShowS #
NFData HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods rnf :: HumanLoopDataAttributes -> () #
Eq HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods (==) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool # (/=) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool #
Hashable HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods hashWithSalt :: Int -> HumanLoopDataAttributes -> Int # hash :: HumanLoopDataAttributes -> Int #
type Rep HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes type Rep HumanLoopDataAttributes = D1 ('MetaData "HumanLoopDataAttributes" "Amazonka.Rekognition.Types.HumanLoopDataAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentClassifier]))))

newHumanLoopDataAttributes :: HumanLoopDataAttributes Source #

Create a value of HumanLoopDataAttributes with all optional fields omitted.

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

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

$sel:contentClassifiers:HumanLoopDataAttributes', humanLoopDataAttributes_contentClassifiers - Sets whether the input image is free of personally identifiable information.

humanLoopDataAttributes_contentClassifiers :: Lens' HumanLoopDataAttributes (Maybe [ContentClassifier]) Source #

Sets whether the input image is free of personally identifiable information.

Image

data Image Source #

Provides the input image either as bytes or an S3 object.

You pass image bytes to an Amazon Rekognition API operation by using the Bytes property. For example, you would use the Bytes property to pass an image loaded from a local file system. Image bytes passed by using the Bytes property must be base64-encoded. Your code may not need to encode image bytes if you are using an AWS SDK to call Amazon Rekognition API operations.

For more information, see Analyzing an Image Loaded from a Local File System in the Amazon Rekognition Developer Guide.

You pass images stored in an S3 bucket to an Amazon Rekognition API operation by using the S3Object property. Images stored in an S3 bucket do not need to be base64-encoded.

The region for the S3 bucket containing the S3 object must match the region you use for Amazon Rekognition operations.

If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes using the Bytes property is not supported. You must first upload the image to an Amazon S3 bucket and then call the operation using the S3Object property.

For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. For more information, see How Amazon Rekognition works with IAM in the Amazon Rekognition Developer Guide.

See: newImage smart constructor.

Constructors

Image'
Fields bytes :: Maybe Base64 Blob of image bytes up to 5 MBs. s3Object :: Maybe S3Object Identifies an S3 object as the image source.

Instances

Instances details

ToJSON Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods toJSON :: Image -> Value # toEncoding :: Image -> Encoding # toJSONList :: [Image] -> Value # toEncodingList :: [Image] -> Encoding #
Generic Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Associated Types type Rep Image :: Type -> Type # Methods from :: Image -> Rep Image x # to :: Rep Image x -> Image #
Read Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods readsPrec :: Int -> ReadS Image # readList :: ReadS [Image] # readPrec :: ReadPrec Image # readListPrec :: ReadPrec [Image] #
Show Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods showsPrec :: Int -> Image -> ShowS # show :: Image -> String # showList :: [Image] -> ShowS #
NFData Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods rnf :: Image -> () #
Eq Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods (==) :: Image -> Image -> Bool # (/=) :: Image -> Image -> Bool #
Hashable Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image Methods hashWithSalt :: Int -> Image -> Int # hash :: Image -> Int #
type Rep Image Source #
Instance details Defined in Amazonka.Rekognition.Types.Image type Rep Image = D1 ('MetaData "Image" "Amazonka.Rekognition.Types.Image" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Image'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bytes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Base64)) :*: S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newImage :: Image Source #

Create a value of Image with all optional fields omitted.

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

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

$sel:bytes:Image', image_bytes - Blob of image bytes up to 5 MBs.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

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

image_bytes :: Lens' Image (Maybe ByteString) Source #

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.

image_s3Object :: Lens' Image (Maybe S3Object) Source #

Identifies an S3 object as the image source.

ImageQuality

data ImageQuality Source #

Identifies face image brightness and sharpness.

See: newImageQuality smart constructor.

Constructors

ImageQuality'
Fields brightness :: Maybe Double Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image. sharpness :: Maybe Double Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.

Instances

Instances details

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

newImageQuality :: ImageQuality Source #

Create a value of ImageQuality with all optional fields omitted.

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

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

$sel:brightness:ImageQuality', imageQuality_brightness - Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image.

$sel:sharpness:ImageQuality', imageQuality_sharpness - Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.

imageQuality_brightness :: Lens' ImageQuality (Maybe Double) Source #

Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image.

imageQuality_sharpness :: Lens' ImageQuality (Maybe Double) Source #

Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.

Instance

data Instance Source #

An instance of a label returned by Amazon Rekognition Image (DetectLabels) or by Amazon Rekognition Video (GetLabelDetection).

See: newInstance smart constructor.

Constructors

Instance'
Fields boundingBox :: Maybe BoundingBox The position of the label instance on the image. confidence :: Maybe Double The confidence that Amazon Rekognition has in the accuracy of the bounding box. dominantColors :: Maybe [DominantColor] The dominant colors found in an individual instance of a label.

Instances

Instances details

FromJSON Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods parseJSON :: Value -> Parser Instance # parseJSONList :: Value -> Parser [Instance] #
Generic Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Associated Types type Rep Instance :: Type -> Type # Methods from :: Instance -> Rep Instance x # to :: Rep Instance x -> Instance #
Read Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods readsPrec :: Int -> ReadS Instance # readList :: ReadS [Instance] # readPrec :: ReadPrec Instance # readListPrec :: ReadPrec [Instance] #
Show Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods showsPrec :: Int -> Instance -> ShowS # show :: Instance -> String # showList :: [Instance] -> ShowS #
NFData Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods rnf :: Instance -> () #
Eq Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods (==) :: Instance -> Instance -> Bool # (/=) :: Instance -> Instance -> Bool #
Hashable Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance Methods hashWithSalt :: Int -> Instance -> Int # hash :: Instance -> Int #
type Rep Instance Source #
Instance details Defined in Amazonka.Rekognition.Types.Instance type Rep Instance = D1 ('MetaData "Instance" "Amazonka.Rekognition.Types.Instance" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Instance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "dominantColors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DominantColor])))))

newInstance :: Instance Source #

Create a value of Instance with all optional fields omitted.

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

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

$sel:boundingBox:Instance', instance_boundingBox - The position of the label instance on the image.

$sel:confidence:Instance', instance_confidence - The confidence that Amazon Rekognition has in the accuracy of the bounding box.

$sel:dominantColors:Instance', instance_dominantColors - The dominant colors found in an individual instance of a label.

instance_boundingBox :: Lens' Instance (Maybe BoundingBox) Source #

The position of the label instance on the image.

instance_confidence :: Lens' Instance (Maybe Double) Source #

The confidence that Amazon Rekognition has in the accuracy of the bounding box.

instance_dominantColors :: Lens' Instance (Maybe [DominantColor]) Source #

The dominant colors found in an individual instance of a label.

KinesisDataStream

data KinesisDataStream Source #

The Kinesis data stream Amazon Rekognition to which the analysis results of a Amazon Rekognition stream processor are streamed. For more information, see CreateStreamProcessor in the Amazon Rekognition Developer Guide.

See: newKinesisDataStream smart constructor.

Constructors

KinesisDataStream'
Fields arn :: Maybe Text ARN of the output Amazon Kinesis Data Streams stream.

Instances

Instances details

FromJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods parseJSON :: Value -> Parser KinesisDataStream # parseJSONList :: Value -> Parser [KinesisDataStream] #
ToJSON KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods toJSON :: KinesisDataStream -> Value # toEncoding :: KinesisDataStream -> Encoding # toJSONList :: [KinesisDataStream] -> Value # toEncodingList :: [KinesisDataStream] -> Encoding #
Generic KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Associated Types type Rep KinesisDataStream :: Type -> Type # Methods from :: KinesisDataStream -> Rep KinesisDataStream x # to :: Rep KinesisDataStream x -> KinesisDataStream #
Read KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods readsPrec :: Int -> ReadS KinesisDataStream # readList :: ReadS [KinesisDataStream] # readPrec :: ReadPrec KinesisDataStream # readListPrec :: ReadPrec [KinesisDataStream] #
Show KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods showsPrec :: Int -> KinesisDataStream -> ShowS # show :: KinesisDataStream -> String # showList :: [KinesisDataStream] -> ShowS #
NFData KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods rnf :: KinesisDataStream -> () #
Eq KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods (==) :: KinesisDataStream -> KinesisDataStream -> Bool # (/=) :: KinesisDataStream -> KinesisDataStream -> Bool #
Hashable KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream Methods hashWithSalt :: Int -> KinesisDataStream -> Int # hash :: KinesisDataStream -> Int #
type Rep KinesisDataStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisDataStream type Rep KinesisDataStream = D1 ('MetaData "KinesisDataStream" "Amazonka.Rekognition.Types.KinesisDataStream" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisDataStream'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newKinesisDataStream :: KinesisDataStream Source #

Create a value of KinesisDataStream with all optional fields omitted.

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

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

$sel:arn:KinesisDataStream', kinesisDataStream_arn - ARN of the output Amazon Kinesis Data Streams stream.

kinesisDataStream_arn :: Lens' KinesisDataStream (Maybe Text) Source #

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'
Fields arn :: Maybe Text ARN of the Kinesis video stream stream that streams the source video.

Instances

Instances details

FromJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods parseJSON :: Value -> Parser KinesisVideoStream # parseJSONList :: Value -> Parser [KinesisVideoStream] #
ToJSON KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods toJSON :: KinesisVideoStream -> Value # toEncoding :: KinesisVideoStream -> Encoding # toJSONList :: [KinesisVideoStream] -> Value # toEncodingList :: [KinesisVideoStream] -> Encoding #
Generic KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Associated Types type Rep KinesisVideoStream :: Type -> Type # Methods from :: KinesisVideoStream -> Rep KinesisVideoStream x # to :: Rep KinesisVideoStream x -> KinesisVideoStream #
Read KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods readsPrec :: Int -> ReadS KinesisVideoStream # readList :: ReadS [KinesisVideoStream] # readPrec :: ReadPrec KinesisVideoStream # readListPrec :: ReadPrec [KinesisVideoStream] #
Show KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods showsPrec :: Int -> KinesisVideoStream -> ShowS # show :: KinesisVideoStream -> String # showList :: [KinesisVideoStream] -> ShowS #
NFData KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods rnf :: KinesisVideoStream -> () #
Eq KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods (==) :: KinesisVideoStream -> KinesisVideoStream -> Bool # (/=) :: KinesisVideoStream -> KinesisVideoStream -> Bool #
Hashable KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream Methods hashWithSalt :: Int -> KinesisVideoStream -> Int # hash :: KinesisVideoStream -> Int #
type Rep KinesisVideoStream Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStream type Rep KinesisVideoStream = D1 ('MetaData "KinesisVideoStream" "Amazonka.Rekognition.Types.KinesisVideoStream" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisVideoStream'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newKinesisVideoStream :: KinesisVideoStream Source #

Create a value of KinesisVideoStream with all optional fields omitted.

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

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

$sel:arn:KinesisVideoStream', kinesisVideoStream_arn - ARN of the Kinesis video stream stream that streams the source video.

kinesisVideoStream_arn :: Lens' KinesisVideoStream (Maybe Text) Source #

ARN of the Kinesis video stream stream that streams the source video.

KinesisVideoStreamStartSelector

data KinesisVideoStreamStartSelector Source #

Specifies the starting point in a Kinesis stream to start processing. You can use the producer timestamp or the fragment number. One of either producer timestamp or fragment number is required. If you use the producer timestamp, you must put the time in milliseconds. For more information about fragment numbers, see Fragment.

See: newKinesisVideoStreamStartSelector smart constructor.

Constructors

KinesisVideoStreamStartSelector'
Fields fragmentNumber :: Maybe Text The unique identifier of the fragment. This value monotonically increases based on the ingestion order. producerTimestamp :: Maybe Natural The timestamp from the producer corresponding to the fragment, in milliseconds, expressed in unix time format.

Instances

Instances details

ToJSON KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods toJSON :: KinesisVideoStreamStartSelector -> Value # toEncoding :: KinesisVideoStreamStartSelector -> Encoding # toJSONList :: [KinesisVideoStreamStartSelector] -> Value # toEncodingList :: [KinesisVideoStreamStartSelector] -> Encoding #
Generic KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Associated Types type Rep KinesisVideoStreamStartSelector :: Type -> Type # Methods from :: KinesisVideoStreamStartSelector -> Rep KinesisVideoStreamStartSelector x # to :: Rep KinesisVideoStreamStartSelector x -> KinesisVideoStreamStartSelector #
Read KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods readsPrec :: Int -> ReadS KinesisVideoStreamStartSelector # readList :: ReadS [KinesisVideoStreamStartSelector] # readPrec :: ReadPrec KinesisVideoStreamStartSelector # readListPrec :: ReadPrec [KinesisVideoStreamStartSelector] #
Show KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods showsPrec :: Int -> KinesisVideoStreamStartSelector -> ShowS # show :: KinesisVideoStreamStartSelector -> String # showList :: [KinesisVideoStreamStartSelector] -> ShowS #
NFData KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods rnf :: KinesisVideoStreamStartSelector -> () #
Eq KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods (==) :: KinesisVideoStreamStartSelector -> KinesisVideoStreamStartSelector -> Bool # (/=) :: KinesisVideoStreamStartSelector -> KinesisVideoStreamStartSelector -> Bool #
Hashable KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector Methods hashWithSalt :: Int -> KinesisVideoStreamStartSelector -> Int # hash :: KinesisVideoStreamStartSelector -> Int #
type Rep KinesisVideoStreamStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector type Rep KinesisVideoStreamStartSelector = D1 ('MetaData "KinesisVideoStreamStartSelector" "Amazonka.Rekognition.Types.KinesisVideoStreamStartSelector" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "KinesisVideoStreamStartSelector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fragmentNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "producerTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newKinesisVideoStreamStartSelector :: KinesisVideoStreamStartSelector Source #

Create a value of KinesisVideoStreamStartSelector with all optional fields omitted.

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

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

$sel:fragmentNumber:KinesisVideoStreamStartSelector', kinesisVideoStreamStartSelector_fragmentNumber - The unique identifier of the fragment. This value monotonically increases based on the ingestion order.

$sel:producerTimestamp:KinesisVideoStreamStartSelector', kinesisVideoStreamStartSelector_producerTimestamp - The timestamp from the producer corresponding to the fragment, in milliseconds, expressed in unix time format.

kinesisVideoStreamStartSelector_fragmentNumber :: Lens' KinesisVideoStreamStartSelector (Maybe Text) Source #

The unique identifier of the fragment. This value monotonically increases based on the ingestion order.

kinesisVideoStreamStartSelector_producerTimestamp :: Lens' KinesisVideoStreamStartSelector (Maybe Natural) Source #

The timestamp from the producer corresponding to the fragment, in milliseconds, expressed in unix time format.

KnownGender

data KnownGender Source #

The known gender identity for the celebrity that matches the provided ID. The known gender identity can be Male, Female, Nonbinary, or Unlisted.

See: newKnownGender smart constructor.

Constructors

KnownGender'
Fields type' :: Maybe KnownGenderType A string value of the KnownGender info about the Celebrity.

Instances

Instances details

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

newKnownGender :: KnownGender Source #

Create a value of KnownGender with all optional fields omitted.

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

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

$sel:type':KnownGender', knownGender_type - A string value of the KnownGender info about the Celebrity.

knownGender_type :: Lens' KnownGender (Maybe KnownGenderType) Source #

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'

Fields

aliases :: Maybe [LabelAlias]
A list of potential aliases for a given label.
categories :: Maybe [LabelCategory]
A list of the categories associated with a given label.
confidence :: Maybe Double
Level of confidence.
instances :: Maybe [Instance]
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.
name :: Maybe Text
The name (label) of the object or scene.
parents :: Maybe [Parent]
The parent labels for a label. The response includes all ancestor labels.

Instances

Instances details

FromJSON Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods parseJSON :: Value -> Parser Label # parseJSONList :: Value -> Parser [Label] #
Generic Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Associated Types type Rep Label :: Type -> Type # Methods from :: Label -> Rep Label x # to :: Rep Label x -> Label #
Read Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods readsPrec :: Int -> ReadS Label # readList :: ReadS [Label] # readPrec :: ReadPrec Label # readListPrec :: ReadPrec [Label] #
Show Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods showsPrec :: Int -> Label -> ShowS # show :: Label -> String # showList :: [Label] -> ShowS #
NFData Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods rnf :: Label -> () #
Eq Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods (==) :: Label -> Label -> Bool # (/=) :: Label -> Label -> Bool #
Hashable Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label Methods hashWithSalt :: Int -> Label -> Int # hash :: Label -> Int #
type Rep Label Source #
Instance details Defined in Amazonka.Rekognition.Types.Label type Rep Label = D1 ('MetaData "Label" "Amazonka.Rekognition.Types.Label" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Label'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "aliases") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelAlias])) :: (S1 ('MetaSel ('Just "categories") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LabelCategory])) :: S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "instances") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Instance])) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "parents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parent]))))))

newLabel :: Label Source #

Create a value of Label with all optional fields omitted.

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

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

$sel:aliases:Label', label_aliases - A list of potential aliases for a given label.

$sel:categories:Label', label_categories - A list of the categories associated with a given label.

Label, label_confidence - Level of confidence.

$sel:instances:Label', label_instances - If Label represents an object, Instances contains the bounding boxes for each instance of the detected object. Bounding boxes are returned for common object labels such as people, cars, furniture, apparel or pets.

Label, label_name - The name (label) of the object or scene.

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

label_aliases :: Lens' Label (Maybe [LabelAlias]) Source #

A list of potential aliases for a given label.

label_categories :: Lens' Label (Maybe [LabelCategory]) Source #

A list of the categories associated with a given label.

label_confidence :: Lens' Label (Maybe Double) Source #

Level of confidence.

label_instances :: Lens' Label (Maybe [Instance]) Source #

If Label represents an object, Instances contains the bounding boxes for each instance of the detected object. Bounding boxes are returned for common object labels such as people, cars, furniture, apparel or pets.

label_name :: Lens' Label (Maybe Text) Source #

The name (label) of the object or scene.

label_parents :: Lens' Label (Maybe [Parent]) Source #

The parent labels for a label. The response includes all ancestor labels.

LabelAlias

data LabelAlias Source #

A potential alias of for a given label.

See: newLabelAlias smart constructor.

Constructors

LabelAlias'
Fields name :: Maybe Text The name of an alias for a given label.

Instances

Instances details

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

newLabelAlias :: LabelAlias Source #

Create a value of LabelAlias with all optional fields omitted.

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

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

$sel:name:LabelAlias', labelAlias_name - The name of an alias for a given label.

labelAlias_name :: Lens' LabelAlias (Maybe Text) Source #

The name of an alias for a given label.

LabelCategory

data LabelCategory Source #

The category that applies to a given label.

See: newLabelCategory smart constructor.

Constructors

LabelCategory'
Fields name :: Maybe Text The name of a category that applies to a given label.

Instances

Instances details

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

newLabelCategory :: LabelCategory Source #

Create a value of LabelCategory with all optional fields omitted.

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

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

$sel:name:LabelCategory', labelCategory_name - The name of a category that applies to a given label.

labelCategory_name :: Lens' LabelCategory (Maybe Text) Source #

The name of a category that applies to a given label.

LabelDetection

data LabelDetection Source #

Information about a label detected in a video analysis request and the time the label was detected in the video.

See: newLabelDetection smart constructor.

Constructors

LabelDetection'

Fields

durationMillis :: Maybe Natural
The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis.
endTimestampMillis :: Maybe Natural
The time in milliseconds defining the end of the timeline segment containing a continuously detected label.
label :: Maybe Label
Details about the detected label.
startTimestampMillis :: Maybe Natural
The time in milliseconds defining the start of the timeline segment containing a continuously detected label.
timestamp :: Maybe Integer
Time, in milliseconds from the start of the video, that the label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the label first appears.

Instances

Instances details

FromJSON LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods parseJSON :: Value -> Parser LabelDetection # parseJSONList :: Value -> Parser [LabelDetection] #
Generic LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Associated Types type Rep LabelDetection :: Type -> Type # Methods from :: LabelDetection -> Rep LabelDetection x # to :: Rep LabelDetection x -> LabelDetection #
Read LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods readsPrec :: Int -> ReadS LabelDetection # readList :: ReadS [LabelDetection] # readPrec :: ReadPrec LabelDetection # readListPrec :: ReadPrec [LabelDetection] #
Show LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods showsPrec :: Int -> LabelDetection -> ShowS # show :: LabelDetection -> String # showList :: [LabelDetection] -> ShowS #
NFData LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods rnf :: LabelDetection -> () #
Eq LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods (==) :: LabelDetection -> LabelDetection -> Bool # (/=) :: LabelDetection -> LabelDetection -> Bool #
Hashable LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection Methods hashWithSalt :: Int -> LabelDetection -> Int # hash :: LabelDetection -> Int #
type Rep LabelDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetection type Rep LabelDetection = D1 ('MetaData "LabelDetection" "Amazonka.Rekognition.Types.LabelDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "endTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "label") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Label)) :: (S1 ('MetaSel ('Just "startTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))))

newLabelDetection :: LabelDetection Source #

Create a value of LabelDetection with all optional fields omitted.

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

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

$sel:durationMillis:LabelDetection', labelDetection_durationMillis - The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis.

$sel:endTimestampMillis:LabelDetection', labelDetection_endTimestampMillis - The time in milliseconds defining the end of the timeline segment containing a continuously detected label.

$sel:label:LabelDetection', labelDetection_label - Details about the detected label.

$sel:startTimestampMillis:LabelDetection', labelDetection_startTimestampMillis - The time in milliseconds defining the start of the timeline segment containing a continuously detected label.

$sel:timestamp:LabelDetection', labelDetection_timestamp - Time, in milliseconds from the start of the video, that the label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the label first appears.

labelDetection_durationMillis :: Lens' LabelDetection (Maybe Natural) Source #

The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis.

labelDetection_endTimestampMillis :: Lens' LabelDetection (Maybe Natural) Source #

The time in milliseconds defining the end of the timeline segment containing a continuously detected label.

labelDetection_label :: Lens' LabelDetection (Maybe Label) Source #

Details about the detected label.

labelDetection_startTimestampMillis :: Lens' LabelDetection (Maybe Natural) Source #

The time in milliseconds defining the start of the timeline segment containing a continuously detected label.

labelDetection_timestamp :: Lens' LabelDetection (Maybe Integer) Source #

Time, in milliseconds from the start of the video, that the label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the label first appears.

LabelDetectionSettings

data LabelDetectionSettings Source #

Contains the specified filters that should be applied to a list of returned GENERAL_LABELS.

See: newLabelDetectionSettings smart constructor.

Constructors

LabelDetectionSettings'
Fields generalLabels :: Maybe GeneralLabelsSettings

Instances

Instances details

ToJSON LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods toJSON :: LabelDetectionSettings -> Value # toEncoding :: LabelDetectionSettings -> Encoding # toJSONList :: [LabelDetectionSettings] -> Value # toEncodingList :: [LabelDetectionSettings] -> Encoding #
Generic LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Associated Types type Rep LabelDetectionSettings :: Type -> Type # Methods from :: LabelDetectionSettings -> Rep LabelDetectionSettings x # to :: Rep LabelDetectionSettings x -> LabelDetectionSettings #
Read LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods readsPrec :: Int -> ReadS LabelDetectionSettings # readList :: ReadS [LabelDetectionSettings] # readPrec :: ReadPrec LabelDetectionSettings # readListPrec :: ReadPrec [LabelDetectionSettings] #
Show LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods showsPrec :: Int -> LabelDetectionSettings -> ShowS # show :: LabelDetectionSettings -> String # showList :: [LabelDetectionSettings] -> ShowS #
NFData LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods rnf :: LabelDetectionSettings -> () #
Eq LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods (==) :: LabelDetectionSettings -> LabelDetectionSettings -> Bool # (/=) :: LabelDetectionSettings -> LabelDetectionSettings -> Bool #
Hashable LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings Methods hashWithSalt :: Int -> LabelDetectionSettings -> Int # hash :: LabelDetectionSettings -> Int #
type Rep LabelDetectionSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.LabelDetectionSettings type Rep LabelDetectionSettings = D1 ('MetaData "LabelDetectionSettings" "Amazonka.Rekognition.Types.LabelDetectionSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "LabelDetectionSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "generalLabels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GeneralLabelsSettings))))

newLabelDetectionSettings :: LabelDetectionSettings Source #

Create a value of LabelDetectionSettings with all optional fields omitted.

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

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

$sel:generalLabels:LabelDetectionSettings', labelDetectionSettings_generalLabels - Undocumented member.

labelDetectionSettings_generalLabels :: Lens' LabelDetectionSettings (Maybe GeneralLabelsSettings) Source #

Undocumented member.

Landmark

data Landmark Source #

Indicates the location of the landmark on the face.

See: newLandmark smart constructor.

Constructors

Landmark'

Fields

type' :: Maybe LandmarkType
Type of landmark.
x :: Maybe Double
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.
y :: Maybe Double
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.

Instances

Instances details

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

newLandmark :: Landmark Source #

Create a value of Landmark with all optional fields omitted.

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

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

$sel:type':Landmark', landmark_type - Type of landmark.

$sel:x:Landmark', landmark_x - The x-coordinate of the landmark expressed as a ratio of the width of the image. The x-coordinate is measured from the left-side of the image. For example, if the image is 700 pixels wide and the x-coordinate of the landmark is at 350 pixels, this value is 0.5.

$sel:y:Landmark', landmark_y - The y-coordinate of the landmark expressed as a ratio of the height of the image. The y-coordinate is measured from the top of the image. For example, if the image height is 200 pixels and the y-coordinate of the landmark is at 50 pixels, this value is 0.25.

landmark_type :: Lens' Landmark (Maybe LandmarkType) Source #

Type of landmark.

landmark_x :: Lens' Landmark (Maybe Double) Source #

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.

landmark_y :: Lens' Landmark (Maybe Double) Source #

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'

Fields

confidence :: Maybe Double
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.
name :: Maybe Text
The label name for the type of unsafe content detected in the image.
parentName :: Maybe Text
The name for the parent label. Labels at the top level of the hierarchy have the parent label "".

Instances

Instances details

FromJSON ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods parseJSON :: Value -> Parser ModerationLabel # parseJSONList :: Value -> Parser [ModerationLabel] #
Generic ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Associated Types type Rep ModerationLabel :: Type -> Type # Methods from :: ModerationLabel -> Rep ModerationLabel x # to :: Rep ModerationLabel x -> ModerationLabel #
Read ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods readsPrec :: Int -> ReadS ModerationLabel # readList :: ReadS [ModerationLabel] # readPrec :: ReadPrec ModerationLabel # readListPrec :: ReadPrec [ModerationLabel] #
Show ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods showsPrec :: Int -> ModerationLabel -> ShowS # show :: ModerationLabel -> String # showList :: [ModerationLabel] -> ShowS #
NFData ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods rnf :: ModerationLabel -> () #
Eq ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods (==) :: ModerationLabel -> ModerationLabel -> Bool # (/=) :: ModerationLabel -> ModerationLabel -> Bool #
Hashable ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel Methods hashWithSalt :: Int -> ModerationLabel -> Int # hash :: ModerationLabel -> Int #
type Rep ModerationLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.ModerationLabel type Rep ModerationLabel = D1 ('MetaData "ModerationLabel" "Amazonka.Rekognition.Types.ModerationLabel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ModerationLabel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "parentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newModerationLabel :: ModerationLabel Source #

Create a value of ModerationLabel with all optional fields omitted.

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

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

$sel:confidence:ModerationLabel', moderationLabel_confidence - Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.

If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, the operation returns labels with a confidence value greater than or equal to 50 percent.

$sel:name:ModerationLabel', moderationLabel_name - The label name for the type of unsafe content detected in the image.

$sel:parentName:ModerationLabel', moderationLabel_parentName - The name for the parent label. Labels at the top level of the hierarchy have the parent label "".

moderationLabel_confidence :: Lens' ModerationLabel (Maybe Double) Source #

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.

moderationLabel_name :: Lens' ModerationLabel (Maybe Text) Source #

The label name for the type of unsafe content detected in the image.

moderationLabel_parentName :: Lens' ModerationLabel (Maybe Text) Source #

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'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the mouth on the face is open or not.

Instances

Instances details

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

newMouthOpen :: MouthOpen Source #

Create a value of MouthOpen with all optional fields omitted.

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

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

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

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

mouthOpen_confidence :: Lens' MouthOpen (Maybe Double) Source #

Level of confidence in the determination.

mouthOpen_value :: Lens' MouthOpen (Maybe Bool) Source #

Boolean value that indicates whether the mouth on the face is open or not.

Mustache

data Mustache Source #

Indicates whether or not the face has a mustache, and the confidence level in the determination.

See: newMustache smart constructor.

Constructors

Mustache'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the face has mustache or not.

Instances

Instances details

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

newMustache :: Mustache Source #

Create a value of Mustache with all optional fields omitted.

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

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

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

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

mustache_confidence :: Lens' Mustache (Maybe Double) Source #

Level of confidence in the determination.

mustache_value :: Lens' Mustache (Maybe Bool) Source #

Boolean value that indicates whether the face has mustache or not.

NotificationChannel

data NotificationChannel Source #

The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see Calling Amazon Rekognition Video operations. Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see Giving access to multiple Amazon SNS topics.

See: newNotificationChannel smart constructor.

Constructors

NotificationChannel'
Fields sNSTopicArn :: Text The Amazon SNS topic to which Amazon Rekognition posts the completion status. roleArn :: Text The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

Instances

Instances details

ToJSON NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods toJSON :: NotificationChannel -> Value # toEncoding :: NotificationChannel -> Encoding # toJSONList :: [NotificationChannel] -> Value # toEncodingList :: [NotificationChannel] -> Encoding #
Generic NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Associated Types type Rep NotificationChannel :: Type -> Type # Methods from :: NotificationChannel -> Rep NotificationChannel x # to :: Rep NotificationChannel x -> NotificationChannel #
Read NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods readsPrec :: Int -> ReadS NotificationChannel # readList :: ReadS [NotificationChannel] # readPrec :: ReadPrec NotificationChannel # readListPrec :: ReadPrec [NotificationChannel] #
Show NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods showsPrec :: Int -> NotificationChannel -> ShowS # show :: NotificationChannel -> String # showList :: [NotificationChannel] -> ShowS #
NFData NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods rnf :: NotificationChannel -> () #
Eq NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods (==) :: NotificationChannel -> NotificationChannel -> Bool # (/=) :: NotificationChannel -> NotificationChannel -> Bool #
Hashable NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel Methods hashWithSalt :: Int -> NotificationChannel -> Int # hash :: NotificationChannel -> Int #
type Rep NotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.NotificationChannel type Rep NotificationChannel = D1 ('MetaData "NotificationChannel" "Amazonka.Rekognition.Types.NotificationChannel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "NotificationChannel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sNSTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newNotificationChannel Source #

Arguments

:: Text	`$sel:sNSTopicArn:NotificationChannel'`
-> Text	`$sel:roleArn:NotificationChannel'`
-> NotificationChannel

Create a value of NotificationChannel with all optional fields omitted.

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

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

$sel:sNSTopicArn:NotificationChannel', notificationChannel_sNSTopicArn - The Amazon SNS topic to which Amazon Rekognition posts the completion status.

$sel:roleArn:NotificationChannel', notificationChannel_roleArn - The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

notificationChannel_sNSTopicArn :: Lens' NotificationChannel Text Source #

The Amazon SNS topic to which Amazon Rekognition posts the completion status.

notificationChannel_roleArn :: Lens' NotificationChannel Text Source #

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'
Fields s3Bucket :: Maybe Text The S3 bucket where training output is placed. s3KeyPrefix :: Maybe Text The prefix applied to the training output files.

Instances

Instances details

FromJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods parseJSON :: Value -> Parser OutputConfig # parseJSONList :: Value -> Parser [OutputConfig] #
ToJSON OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods toJSON :: OutputConfig -> Value # toEncoding :: OutputConfig -> Encoding # toJSONList :: [OutputConfig] -> Value # toEncodingList :: [OutputConfig] -> Encoding #
Generic OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Associated Types type Rep OutputConfig :: Type -> Type # Methods from :: OutputConfig -> Rep OutputConfig x # to :: Rep OutputConfig x -> OutputConfig #
Read OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods readsPrec :: Int -> ReadS OutputConfig # readList :: ReadS [OutputConfig] # readPrec :: ReadPrec OutputConfig # readListPrec :: ReadPrec [OutputConfig] #
Show OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods showsPrec :: Int -> OutputConfig -> ShowS # show :: OutputConfig -> String # showList :: [OutputConfig] -> ShowS #
NFData OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods rnf :: OutputConfig -> () #
Eq OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods (==) :: OutputConfig -> OutputConfig -> Bool # (/=) :: OutputConfig -> OutputConfig -> Bool #
Hashable OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig Methods hashWithSalt :: Int -> OutputConfig -> Int # hash :: OutputConfig -> Int #
type Rep OutputConfig Source #
Instance details Defined in Amazonka.Rekognition.Types.OutputConfig type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.Rekognition.Types.OutputConfig" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3KeyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newOutputConfig :: OutputConfig Source #

Create a value of OutputConfig with all optional fields omitted.

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

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

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

$sel:s3KeyPrefix:OutputConfig', outputConfig_s3KeyPrefix - The prefix applied to the training output files.

outputConfig_s3Bucket :: Lens' OutputConfig (Maybe Text) Source #

The S3 bucket where training output is placed.

outputConfig_s3KeyPrefix :: Lens' OutputConfig (Maybe Text) Source #

The prefix applied to the training output files.

Parent

data Parent Source #

A parent label for a label. A label can have 0, 1, or more parents.

See: newParent smart constructor.

Constructors

Parent'
Fields name :: Maybe Text The name of the parent label.

Instances

Instances details

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

newParent :: Parent Source #

Create a value of Parent with all optional fields omitted.

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

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

$sel:name:Parent', parent_name - The name of the parent label.

parent_name :: Lens' Parent (Maybe Text) Source #

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'
Fields boundingBox :: Maybe BoundingBox Bounding box around the detected person. face :: Maybe FaceDetail Face details for the detected person. index :: Maybe Integer 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.

Instances

Instances details

FromJSON PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods parseJSON :: Value -> Parser PersonDetail # parseJSONList :: Value -> Parser [PersonDetail] #
Generic PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Associated Types type Rep PersonDetail :: Type -> Type # Methods from :: PersonDetail -> Rep PersonDetail x # to :: Rep PersonDetail x -> PersonDetail #
Read PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods readsPrec :: Int -> ReadS PersonDetail # readList :: ReadS [PersonDetail] # readPrec :: ReadPrec PersonDetail # readListPrec :: ReadPrec [PersonDetail] #
Show PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods showsPrec :: Int -> PersonDetail -> ShowS # show :: PersonDetail -> String # showList :: [PersonDetail] -> ShowS #
NFData PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods rnf :: PersonDetail -> () #
Eq PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods (==) :: PersonDetail -> PersonDetail -> Bool # (/=) :: PersonDetail -> PersonDetail -> Bool #
Hashable PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail Methods hashWithSalt :: Int -> PersonDetail -> Int # hash :: PersonDetail -> Int #
type Rep PersonDetail Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetail type Rep PersonDetail = D1 ('MetaData "PersonDetail" "Amazonka.Rekognition.Types.PersonDetail" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :: (S1 ('MetaSel ('Just "face") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :: S1 ('MetaSel ('Just "index") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newPersonDetail :: PersonDetail Source #

Create a value of PersonDetail with all optional fields omitted.

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

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

PersonDetail, personDetail_boundingBox - Bounding box around the detected person.

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

$sel:index:PersonDetail', personDetail_index - Identifier for the person detected person within a video. Use to keep track of the person throughout the video. The identifier is not stored by Amazon Rekognition.

personDetail_boundingBox :: Lens' PersonDetail (Maybe BoundingBox) Source #

Bounding box around the detected person.

personDetail_face :: Lens' PersonDetail (Maybe FaceDetail) Source #

Face details for the detected person.

personDetail_index :: Lens' PersonDetail (Maybe Integer) Source #

Identifier for the person detected person within a video. Use to keep track of the person throughout the video. The identifier is not stored by Amazon Rekognition.

PersonDetection

data PersonDetection Source #

Details and path tracking information for a single time a person's path is tracked in a video. Amazon Rekognition operations that track people's paths return an array of PersonDetection objects with elements for each time a person's path is tracked in a video.

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

See: newPersonDetection smart constructor.

Constructors

PersonDetection'
Fields person :: Maybe PersonDetail Details about a person whose path was tracked in a video. timestamp :: Maybe Integer The time, in milliseconds from the start of the video, that the person's path was tracked. Note that `Timestamp` is not guaranteed to be accurate to the individual frame where the person's path first appears.

Instances

Instances details

FromJSON PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods parseJSON :: Value -> Parser PersonDetection # parseJSONList :: Value -> Parser [PersonDetection] #
Generic PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Associated Types type Rep PersonDetection :: Type -> Type # Methods from :: PersonDetection -> Rep PersonDetection x # to :: Rep PersonDetection x -> PersonDetection #
Read PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods readsPrec :: Int -> ReadS PersonDetection # readList :: ReadS [PersonDetection] # readPrec :: ReadPrec PersonDetection # readListPrec :: ReadPrec [PersonDetection] #
Show PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods showsPrec :: Int -> PersonDetection -> ShowS # show :: PersonDetection -> String # showList :: [PersonDetection] -> ShowS #
NFData PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods rnf :: PersonDetection -> () #
Eq PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods (==) :: PersonDetection -> PersonDetection -> Bool # (/=) :: PersonDetection -> PersonDetection -> Bool #
Hashable PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection Methods hashWithSalt :: Int -> PersonDetection -> Int # hash :: PersonDetection -> Int #
type Rep PersonDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonDetection type Rep PersonDetection = D1 ('MetaData "PersonDetection" "Amazonka.Rekognition.Types.PersonDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonDetection'" 'PrefixI 'True) (S1 ('MetaSel ('Just "person") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonDetail)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newPersonDetection :: PersonDetection Source #

Create a value of PersonDetection with all optional fields omitted.

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

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

$sel:person:PersonDetection', personDetection_person - Details about a person whose path was tracked in a video.

$sel:timestamp:PersonDetection', personDetection_timestamp - The time, in milliseconds from the start of the video, that the person's path was tracked. Note that Timestamp is not guaranteed to be accurate to the individual frame where the person's path first appears.

personDetection_person :: Lens' PersonDetection (Maybe PersonDetail) Source #

Details about a person whose path was tracked in a video.

personDetection_timestamp :: Lens' PersonDetection (Maybe Integer) Source #

The time, in milliseconds from the start of the video, that the person's path was tracked. Note that Timestamp is not guaranteed to be accurate to the individual frame where the person's path first appears.

PersonMatch

data PersonMatch Source #

Information about a person whose face matches a face(s) in an Amazon Rekognition collection. Includes information about the faces in the Amazon Rekognition collection (FaceMatch), information about the person (PersonDetail), and the time stamp for when the person was detected in a video. An array of PersonMatch objects is returned by GetFaceSearch.

See: newPersonMatch smart constructor.

Constructors

PersonMatch'
Fields faceMatches :: Maybe [FaceMatch] Information about the faces in the input collection that match the face of a person in the video. person :: Maybe PersonDetail Information about the matched person. timestamp :: Maybe Integer The time, in milliseconds from the beginning of the video, that the person was matched in the video.

Instances

Instances details

FromJSON PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods parseJSON :: Value -> Parser PersonMatch # parseJSONList :: Value -> Parser [PersonMatch] #
Generic PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Associated Types type Rep PersonMatch :: Type -> Type # Methods from :: PersonMatch -> Rep PersonMatch x # to :: Rep PersonMatch x -> PersonMatch #
Read PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods readsPrec :: Int -> ReadS PersonMatch # readList :: ReadS [PersonMatch] # readPrec :: ReadPrec PersonMatch # readListPrec :: ReadPrec [PersonMatch] #
Show PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods showsPrec :: Int -> PersonMatch -> ShowS # show :: PersonMatch -> String # showList :: [PersonMatch] -> ShowS #
NFData PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods rnf :: PersonMatch -> () #
Eq PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods (==) :: PersonMatch -> PersonMatch -> Bool # (/=) :: PersonMatch -> PersonMatch -> Bool #
Hashable PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch Methods hashWithSalt :: Int -> PersonMatch -> Int # hash :: PersonMatch -> Int #
type Rep PersonMatch Source #
Instance details Defined in Amazonka.Rekognition.Types.PersonMatch type Rep PersonMatch = D1 ('MetaData "PersonMatch" "Amazonka.Rekognition.Types.PersonMatch" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "PersonMatch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceMatches") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FaceMatch])) :: (S1 ('MetaSel ('Just "person") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PersonDetail)) :: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newPersonMatch :: PersonMatch Source #

Create a value of PersonMatch with all optional fields omitted.

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

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

$sel:faceMatches:PersonMatch', personMatch_faceMatches - Information about the faces in the input collection that match the face of a person in the video.

$sel:person:PersonMatch', personMatch_person - Information about the matched person.

$sel:timestamp:PersonMatch', personMatch_timestamp - The time, in milliseconds from the beginning of the video, that the person was matched in the video.

personMatch_faceMatches :: Lens' PersonMatch (Maybe [FaceMatch]) Source #

Information about the faces in the input collection that match the face of a person in the video.

personMatch_person :: Lens' PersonMatch (Maybe PersonDetail) Source #

Information about the matched person.

personMatch_timestamp :: Lens' PersonMatch (Maybe Integer) Source #

The time, in milliseconds from the beginning of the video, that the person was matched in the video.

Point

data Point Source #

The X and Y coordinates of a point on an image or video frame. The X and Y values are ratios of the overall image size or video resolution. For example, if an input image is 700x200 and the values are X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the image.

An array of Point objects makes up a Polygon. A Polygon is returned by DetectText and by DetectCustomLabels Polygon represents a fine-grained polygon around a detected item. For more information, see Geometry in the Amazon Rekognition Developer Guide.

See: newPoint smart constructor.

Constructors

Point'
Fields x :: Maybe Double The value of the X coordinate for a point on a `Polygon`. y :: Maybe Double The value of the Y coordinate for a point on a `Polygon`.

Instances

Instances details

FromJSON Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods parseJSON :: Value -> Parser Point # parseJSONList :: Value -> Parser [Point] #
ToJSON Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods toJSON :: Point -> Value # toEncoding :: Point -> Encoding # toJSONList :: [Point] -> Value # toEncodingList :: [Point] -> Encoding #
Generic Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Associated Types type Rep Point :: Type -> Type # Methods from :: Point -> Rep Point x # to :: Rep Point x -> Point #
Read Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods readsPrec :: Int -> ReadS Point # readList :: ReadS [Point] # readPrec :: ReadPrec Point # readListPrec :: ReadPrec [Point] #
Show Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods showsPrec :: Int -> Point -> ShowS # show :: Point -> String # showList :: [Point] -> ShowS #
NFData Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods rnf :: Point -> () #
Eq Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods (==) :: Point -> Point -> Bool # (/=) :: Point -> Point -> Bool #
Hashable Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point Methods hashWithSalt :: Int -> Point -> Int # hash :: Point -> Int #
type Rep Point Source #
Instance details Defined in Amazonka.Rekognition.Types.Point type Rep Point = D1 ('MetaData "Point" "Amazonka.Rekognition.Types.Point" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Point'" 'PrefixI 'True) (S1 ('MetaSel ('Just "x") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "y") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newPoint :: Point Source #

Create a value of Point with all optional fields omitted.

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

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

$sel:x:Point', point_x - The value of the X coordinate for a point on a Polygon.

$sel:y:Point', point_y - The value of the Y coordinate for a point on a Polygon.

point_x :: Lens' Point (Maybe Double) Source #

The value of the X coordinate for a point on a Polygon.

point_y :: Lens' Point (Maybe Double) Source #

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'
Fields pitch :: Maybe Double Value representing the face rotation on the pitch axis. roll :: Maybe Double Value representing the face rotation on the roll axis. yaw :: Maybe Double Value representing the face rotation on the yaw axis.

Instances

Instances details

FromJSON Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods parseJSON :: Value -> Parser Pose # parseJSONList :: Value -> Parser [Pose] #
Generic Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Associated Types type Rep Pose :: Type -> Type # Methods from :: Pose -> Rep Pose x # to :: Rep Pose x -> Pose #
Read Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods readsPrec :: Int -> ReadS Pose # readList :: ReadS [Pose] # readPrec :: ReadPrec Pose # readListPrec :: ReadPrec [Pose] #
Show Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods showsPrec :: Int -> Pose -> ShowS # show :: Pose -> String # showList :: [Pose] -> ShowS #
NFData Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods rnf :: Pose -> () #
Eq Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods (==) :: Pose -> Pose -> Bool # (/=) :: Pose -> Pose -> Bool #
Hashable Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose Methods hashWithSalt :: Int -> Pose -> Int # hash :: Pose -> Int #
type Rep Pose Source #
Instance details Defined in Amazonka.Rekognition.Types.Pose type Rep Pose = D1 ('MetaData "Pose" "Amazonka.Rekognition.Types.Pose" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Pose'" 'PrefixI 'True) (S1 ('MetaSel ('Just "pitch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "roll") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "yaw") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newPose :: Pose Source #

Create a value of Pose with all optional fields omitted.

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

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

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

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

$sel:yaw:Pose', pose_yaw - Value representing the face rotation on the yaw axis.

pose_pitch :: Lens' Pose (Maybe Double) Source #

Value representing the face rotation on the pitch axis.

pose_roll :: Lens' Pose (Maybe Double) Source #

Value representing the face rotation on the roll axis.

pose_yaw :: Lens' Pose (Maybe Double) Source #

Value representing the face rotation on the yaw axis.

ProjectDescription

data ProjectDescription Source #

A description of an Amazon Rekognition Custom Labels project. For more information, see DescribeProjects.

See: newProjectDescription smart constructor.

Constructors

ProjectDescription'
Fields creationTimestamp :: Maybe POSIX The Unix timestamp for the date and time that the project was created. datasets :: Maybe [DatasetMetadata] Information about the training and test datasets in the project. projectArn :: Maybe Text The Amazon Resource Name (ARN) of the project. status :: Maybe ProjectStatus The current status of the project.

Instances

Instances details

FromJSON ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods parseJSON :: Value -> Parser ProjectDescription # parseJSONList :: Value -> Parser [ProjectDescription] #
Generic ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Associated Types type Rep ProjectDescription :: Type -> Type # Methods from :: ProjectDescription -> Rep ProjectDescription x # to :: Rep ProjectDescription x -> ProjectDescription #
Read ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods readsPrec :: Int -> ReadS ProjectDescription # readList :: ReadS [ProjectDescription] # readPrec :: ReadPrec ProjectDescription # readListPrec :: ReadPrec [ProjectDescription] #
Show ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods showsPrec :: Int -> ProjectDescription -> ShowS # show :: ProjectDescription -> String # showList :: [ProjectDescription] -> ShowS #
NFData ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods rnf :: ProjectDescription -> () #
Eq ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods (==) :: ProjectDescription -> ProjectDescription -> Bool # (/=) :: ProjectDescription -> ProjectDescription -> Bool #
Hashable ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription Methods hashWithSalt :: Int -> ProjectDescription -> Int # hash :: ProjectDescription -> Int #
type Rep ProjectDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectDescription type Rep ProjectDescription = D1 ('MetaData "ProjectDescription" "Amazonka.Rekognition.Types.ProjectDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetMetadata]))) :: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)))))

newProjectDescription :: ProjectDescription Source #

Create a value of ProjectDescription with all optional fields omitted.

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

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

ProjectDescription, projectDescription_creationTimestamp - The Unix timestamp for the date and time that the project was created.

$sel:datasets:ProjectDescription', projectDescription_datasets - Information about the training and test datasets in the project.

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

ProjectDescription, projectDescription_status - The current status of the project.

projectDescription_creationTimestamp :: Lens' ProjectDescription (Maybe UTCTime) Source #

The Unix timestamp for the date and time that the project was created.

projectDescription_datasets :: Lens' ProjectDescription (Maybe [DatasetMetadata]) Source #

Information about the training and test datasets in the project.

projectDescription_projectArn :: Lens' ProjectDescription (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project.

projectDescription_status :: Lens' ProjectDescription (Maybe ProjectStatus) Source #

The current status of the project.

ProjectPolicy

data ProjectPolicy Source #

Describes a project policy in the response from ListProjectPolicies.

See: newProjectPolicy smart constructor.

Constructors

ProjectPolicy'

Fields

creationTimestamp :: Maybe POSIX
The Unix datetime for the creation of the project policy.
lastUpdatedTimestamp :: Maybe POSIX
The Unix datetime for when the project policy was last updated.
policyDocument :: Maybe Text
The JSON document for the project policy.
policyName :: Maybe Text
The name of the project policy.
policyRevisionId :: Maybe Text
The revision ID of the project policy.
projectArn :: Maybe Text
The Amazon Resource Name (ARN) of the project to which the project policy is attached.

Instances

Instances details

FromJSON ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods parseJSON :: Value -> Parser ProjectPolicy # parseJSONList :: Value -> Parser [ProjectPolicy] #
Generic ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Associated Types type Rep ProjectPolicy :: Type -> Type # Methods from :: ProjectPolicy -> Rep ProjectPolicy x # to :: Rep ProjectPolicy x -> ProjectPolicy #
Read ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods readsPrec :: Int -> ReadS ProjectPolicy # readList :: ReadS [ProjectPolicy] # readPrec :: ReadPrec ProjectPolicy # readListPrec :: ReadPrec [ProjectPolicy] #
Show ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods showsPrec :: Int -> ProjectPolicy -> ShowS # show :: ProjectPolicy -> String # showList :: [ProjectPolicy] -> ShowS #
NFData ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods rnf :: ProjectPolicy -> () #
Eq ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods (==) :: ProjectPolicy -> ProjectPolicy -> Bool # (/=) :: ProjectPolicy -> ProjectPolicy -> Bool #
Hashable ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy Methods hashWithSalt :: Int -> ProjectPolicy -> Int # hash :: ProjectPolicy -> Int #
type Rep ProjectPolicy Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectPolicy type Rep ProjectPolicy = D1 ('MetaData "ProjectPolicy" "Amazonka.Rekognition.Types.ProjectPolicy" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectPolicy'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "policyDocument") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "policyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "policyRevisionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newProjectPolicy :: ProjectPolicy Source #

Create a value of ProjectPolicy with all optional fields omitted.

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

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

$sel:creationTimestamp:ProjectPolicy', projectPolicy_creationTimestamp - The Unix datetime for the creation of the project policy.

$sel:lastUpdatedTimestamp:ProjectPolicy', projectPolicy_lastUpdatedTimestamp - The Unix datetime for when the project policy was last updated.

$sel:policyDocument:ProjectPolicy', projectPolicy_policyDocument - The JSON document for the project policy.

$sel:policyName:ProjectPolicy', projectPolicy_policyName - The name of the project policy.

$sel:policyRevisionId:ProjectPolicy', projectPolicy_policyRevisionId - The revision ID of the project policy.

$sel:projectArn:ProjectPolicy', projectPolicy_projectArn - The Amazon Resource Name (ARN) of the project to which the project policy is attached.

projectPolicy_creationTimestamp :: Lens' ProjectPolicy (Maybe UTCTime) Source #

The Unix datetime for the creation of the project policy.

projectPolicy_lastUpdatedTimestamp :: Lens' ProjectPolicy (Maybe UTCTime) Source #

The Unix datetime for when the project policy was last updated.

projectPolicy_policyDocument :: Lens' ProjectPolicy (Maybe Text) Source #

The JSON document for the project policy.

projectPolicy_policyName :: Lens' ProjectPolicy (Maybe Text) Source #

The name of the project policy.

projectPolicy_policyRevisionId :: Lens' ProjectPolicy (Maybe Text) Source #

The revision ID of the project policy.

projectPolicy_projectArn :: Lens' ProjectPolicy (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project to which the project policy is attached.

ProjectVersionDescription

data ProjectVersionDescription Source #

A description of a version of an Amazon Rekognition Custom Labels model.

See: newProjectVersionDescription smart constructor.

Constructors

ProjectVersionDescription'

Fields

billableTrainingTimeInSeconds :: Maybe Natural
The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.
creationTimestamp :: Maybe POSIX
The Unix datetime for the date and time that training started.
evaluationResult :: Maybe EvaluationResult
The training results. EvaluationResult is only returned if training is successful.
kmsKeyId :: Maybe Text
The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.
manifestSummary :: Maybe GroundTruthManifest
The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.
maxInferenceUnits :: Maybe Natural
The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.
minInferenceUnits :: Maybe Natural
The minimum number of inference units used by the model. For more information, see StartProjectVersion.
outputConfig :: Maybe OutputConfig
The location where training results are saved.
projectVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the model version.
sourceProjectVersionArn :: Maybe Text
If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.
status :: Maybe ProjectVersionStatus
The current status of the model version.
statusMessage :: Maybe Text
A descriptive message for an error or warning that occurred.
testingDataResult :: Maybe TestingDataResult
Contains information about the testing results.
trainingDataResult :: Maybe TrainingDataResult
Contains information about the training results.
trainingEndTimestamp :: Maybe POSIX
The Unix date and time that training of the model ended.

Instances

Instances details

FromJSON ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods parseJSON :: Value -> Parser ProjectVersionDescription # parseJSONList :: Value -> Parser [ProjectVersionDescription] #
Generic ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Associated Types type Rep ProjectVersionDescription :: Type -> Type # Methods from :: ProjectVersionDescription -> Rep ProjectVersionDescription x # to :: Rep ProjectVersionDescription x -> ProjectVersionDescription #
Read ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods readsPrec :: Int -> ReadS ProjectVersionDescription # readList :: ReadS [ProjectVersionDescription] # readPrec :: ReadPrec ProjectVersionDescription # readListPrec :: ReadPrec [ProjectVersionDescription] #
Show ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods showsPrec :: Int -> ProjectVersionDescription -> ShowS # show :: ProjectVersionDescription -> String # showList :: [ProjectVersionDescription] -> ShowS #
NFData ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods rnf :: ProjectVersionDescription -> () #
Eq ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods (==) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool # (/=) :: ProjectVersionDescription -> ProjectVersionDescription -> Bool #
Hashable ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription Methods hashWithSalt :: Int -> ProjectVersionDescription -> Int # hash :: ProjectVersionDescription -> Int #
type Rep ProjectVersionDescription Source #
Instance details Defined in Amazonka.Rekognition.Types.ProjectVersionDescription type Rep ProjectVersionDescription = D1 ('MetaData "ProjectVersionDescription" "Amazonka.Rekognition.Types.ProjectVersionDescription" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProjectVersionDescription'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "billableTrainingTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "evaluationResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationResult)))) :: ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "manifestSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GroundTruthManifest))) :: (S1 ('MetaSel ('Just "maxInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))) :: (((S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputConfig)) :: S1 ('MetaSel ('Just "projectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sourceProjectVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectVersionStatus)))) :: ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "testingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingDataResult))) :: (S1 ('MetaSel ('Just "trainingDataResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingDataResult)) :: S1 ('MetaSel ('Just "trainingEndTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newProjectVersionDescription :: ProjectVersionDescription Source #

Create a value of ProjectVersionDescription with all optional fields omitted.

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

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

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

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

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

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

$sel:manifestSummary:ProjectVersionDescription', projectVersionDescription_manifestSummary - The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

$sel:maxInferenceUnits:ProjectVersionDescription', projectVersionDescription_maxInferenceUnits - The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.

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

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

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

$sel:sourceProjectVersionArn:ProjectVersionDescription', projectVersionDescription_sourceProjectVersionArn - If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.

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

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

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

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

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

projectVersionDescription_billableTrainingTimeInSeconds :: Lens' ProjectVersionDescription (Maybe Natural) Source #

The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.

projectVersionDescription_creationTimestamp :: Lens' ProjectVersionDescription (Maybe UTCTime) Source #

The Unix datetime for the date and time that training started.

projectVersionDescription_evaluationResult :: Lens' ProjectVersionDescription (Maybe EvaluationResult) Source #

The training results. EvaluationResult is only returned if training is successful.

projectVersionDescription_kmsKeyId :: Lens' ProjectVersionDescription (Maybe Text) Source #

The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.

projectVersionDescription_manifestSummary :: Lens' ProjectVersionDescription (Maybe GroundTruthManifest) Source #

The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

projectVersionDescription_maxInferenceUnits :: Lens' ProjectVersionDescription (Maybe Natural) Source #

The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.

projectVersionDescription_minInferenceUnits :: Lens' ProjectVersionDescription (Maybe Natural) Source #

The minimum number of inference units used by the model. For more information, see StartProjectVersion.

projectVersionDescription_outputConfig :: Lens' ProjectVersionDescription (Maybe OutputConfig) Source #

The location where training results are saved.

projectVersionDescription_projectVersionArn :: Lens' ProjectVersionDescription (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model version.

projectVersionDescription_sourceProjectVersionArn :: Lens' ProjectVersionDescription (Maybe Text) Source #

If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.

projectVersionDescription_status :: Lens' ProjectVersionDescription (Maybe ProjectVersionStatus) Source #

The current status of the model version.

projectVersionDescription_statusMessage :: Lens' ProjectVersionDescription (Maybe Text) Source #

A descriptive message for an error or warning that occurred.

projectVersionDescription_testingDataResult :: Lens' ProjectVersionDescription (Maybe TestingDataResult) Source #

Contains information about the testing results.

projectVersionDescription_trainingDataResult :: Lens' ProjectVersionDescription (Maybe TrainingDataResult) Source #

Contains information about the training results.

projectVersionDescription_trainingEndTimestamp :: Lens' ProjectVersionDescription (Maybe UTCTime) Source #

The Unix date and time that training of the model ended.

ProtectiveEquipmentBodyPart

data ProtectiveEquipmentBodyPart Source #

Information about a body part detected by DetectProtectiveEquipment that contains PPE. An array of ProtectiveEquipmentBodyPart objects is returned for each person detected by DetectProtectiveEquipment.

See: newProtectiveEquipmentBodyPart smart constructor.

Constructors

ProtectiveEquipmentBodyPart'
Fields confidence :: Maybe Double The confidence that Amazon Rekognition has in the detection accuracy of the detected body part. equipmentDetections :: Maybe [EquipmentDetection] An array of Personal Protective Equipment items detected around a body part. name :: Maybe BodyPart The detected body part.

Instances

Instances details

FromJSON ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods parseJSON :: Value -> Parser ProtectiveEquipmentBodyPart # parseJSONList :: Value -> Parser [ProtectiveEquipmentBodyPart] #
Generic ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Associated Types type Rep ProtectiveEquipmentBodyPart :: Type -> Type # Methods from :: ProtectiveEquipmentBodyPart -> Rep ProtectiveEquipmentBodyPart x # to :: Rep ProtectiveEquipmentBodyPart x -> ProtectiveEquipmentBodyPart #
Read ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods readsPrec :: Int -> ReadS ProtectiveEquipmentBodyPart # readList :: ReadS [ProtectiveEquipmentBodyPart] # readPrec :: ReadPrec ProtectiveEquipmentBodyPart # readListPrec :: ReadPrec [ProtectiveEquipmentBodyPart] #
Show ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods showsPrec :: Int -> ProtectiveEquipmentBodyPart -> ShowS # show :: ProtectiveEquipmentBodyPart -> String # showList :: [ProtectiveEquipmentBodyPart] -> ShowS #
NFData ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods rnf :: ProtectiveEquipmentBodyPart -> () #
Eq ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods (==) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool # (/=) :: ProtectiveEquipmentBodyPart -> ProtectiveEquipmentBodyPart -> Bool #
Hashable ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart Methods hashWithSalt :: Int -> ProtectiveEquipmentBodyPart -> Int # hash :: ProtectiveEquipmentBodyPart -> Int #
type Rep ProtectiveEquipmentBodyPart Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart type Rep ProtectiveEquipmentBodyPart = D1 ('MetaData "ProtectiveEquipmentBodyPart" "Amazonka.Rekognition.Types.ProtectiveEquipmentBodyPart" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentBodyPart'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "equipmentDetections") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EquipmentDetection])) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BodyPart)))))

newProtectiveEquipmentBodyPart :: ProtectiveEquipmentBodyPart Source #

Create a value of ProtectiveEquipmentBodyPart with all optional fields omitted.

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

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

ProtectiveEquipmentBodyPart, protectiveEquipmentBodyPart_confidence - The confidence that Amazon Rekognition has in the detection accuracy of the detected body part.

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

$sel:name:ProtectiveEquipmentBodyPart', protectiveEquipmentBodyPart_name - The detected body part.

protectiveEquipmentBodyPart_confidence :: Lens' ProtectiveEquipmentBodyPart (Maybe Double) Source #

The confidence that Amazon Rekognition has in the detection accuracy of the detected body part.

protectiveEquipmentBodyPart_equipmentDetections :: Lens' ProtectiveEquipmentBodyPart (Maybe [EquipmentDetection]) Source #

An array of Personal Protective Equipment items detected around a body part.

protectiveEquipmentBodyPart_name :: Lens' ProtectiveEquipmentBodyPart (Maybe BodyPart) Source #

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'

Fields

bodyParts :: Maybe [ProtectiveEquipmentBodyPart]
An array of body parts detected on a person's body (including body parts without PPE).
boundingBox :: Maybe BoundingBox
A bounding box around the detected person.
confidence :: Maybe Double
The confidence that Amazon Rekognition has that the bounding box contains a person.
id :: Maybe Natural
The identifier for the detected person. The identifier is only unique for a single call to DetectProtectiveEquipment.

Instances

Instances details

FromJSON ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods parseJSON :: Value -> Parser ProtectiveEquipmentPerson # parseJSONList :: Value -> Parser [ProtectiveEquipmentPerson] #
Generic ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Associated Types type Rep ProtectiveEquipmentPerson :: Type -> Type # Methods from :: ProtectiveEquipmentPerson -> Rep ProtectiveEquipmentPerson x # to :: Rep ProtectiveEquipmentPerson x -> ProtectiveEquipmentPerson #
Read ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods readsPrec :: Int -> ReadS ProtectiveEquipmentPerson # readList :: ReadS [ProtectiveEquipmentPerson] # readPrec :: ReadPrec ProtectiveEquipmentPerson # readListPrec :: ReadPrec [ProtectiveEquipmentPerson] #
Show ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods showsPrec :: Int -> ProtectiveEquipmentPerson -> ShowS # show :: ProtectiveEquipmentPerson -> String # showList :: [ProtectiveEquipmentPerson] -> ShowS #
NFData ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods rnf :: ProtectiveEquipmentPerson -> () #
Eq ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods (==) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool # (/=) :: ProtectiveEquipmentPerson -> ProtectiveEquipmentPerson -> Bool #
Hashable ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson Methods hashWithSalt :: Int -> ProtectiveEquipmentPerson -> Int # hash :: ProtectiveEquipmentPerson -> Int #
type Rep ProtectiveEquipmentPerson Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentPerson type Rep ProtectiveEquipmentPerson = D1 ('MetaData "ProtectiveEquipmentPerson" "Amazonka.Rekognition.Types.ProtectiveEquipmentPerson" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentPerson'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bodyParts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProtectiveEquipmentBodyPart])) :: S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox))) :: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newProtectiveEquipmentPerson :: ProtectiveEquipmentPerson Source #

Create a value of ProtectiveEquipmentPerson with all optional fields omitted.

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

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

$sel:bodyParts:ProtectiveEquipmentPerson', protectiveEquipmentPerson_bodyParts - An array of body parts detected on a person's body (including body parts without PPE).

$sel:boundingBox:ProtectiveEquipmentPerson', protectiveEquipmentPerson_boundingBox - A bounding box around the detected person.

ProtectiveEquipmentPerson, protectiveEquipmentPerson_confidence - The confidence that Amazon Rekognition has that the bounding box contains a person.

$sel:id:ProtectiveEquipmentPerson', protectiveEquipmentPerson_id - The identifier for the detected person. The identifier is only unique for a single call to DetectProtectiveEquipment.

protectiveEquipmentPerson_bodyParts :: Lens' ProtectiveEquipmentPerson (Maybe [ProtectiveEquipmentBodyPart]) Source #

An array of body parts detected on a person's body (including body parts without PPE).

protectiveEquipmentPerson_boundingBox :: Lens' ProtectiveEquipmentPerson (Maybe BoundingBox) Source #

A bounding box around the detected person.

protectiveEquipmentPerson_confidence :: Lens' ProtectiveEquipmentPerson (Maybe Double) Source #

The confidence that Amazon Rekognition has that the bounding box contains a person.

protectiveEquipmentPerson_id :: Lens' ProtectiveEquipmentPerson (Maybe Natural) Source #

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'

Fields

minConfidence :: Double
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%.
requiredEquipmentTypes :: [ProtectiveEquipmentType]
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.

Instances

Instances details

ToJSON ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods toJSON :: ProtectiveEquipmentSummarizationAttributes -> Value # toEncoding :: ProtectiveEquipmentSummarizationAttributes -> Encoding # toJSONList :: [ProtectiveEquipmentSummarizationAttributes] -> Value # toEncodingList :: [ProtectiveEquipmentSummarizationAttributes] -> Encoding #
Generic ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Associated Types type Rep ProtectiveEquipmentSummarizationAttributes :: Type -> Type # Methods from :: ProtectiveEquipmentSummarizationAttributes -> Rep ProtectiveEquipmentSummarizationAttributes x # to :: Rep ProtectiveEquipmentSummarizationAttributes x -> ProtectiveEquipmentSummarizationAttributes #
Read ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods readsPrec :: Int -> ReadS ProtectiveEquipmentSummarizationAttributes # readList :: ReadS [ProtectiveEquipmentSummarizationAttributes] # readPrec :: ReadPrec ProtectiveEquipmentSummarizationAttributes # readListPrec :: ReadPrec [ProtectiveEquipmentSummarizationAttributes] #
Show ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods showsPrec :: Int -> ProtectiveEquipmentSummarizationAttributes -> ShowS # show :: ProtectiveEquipmentSummarizationAttributes -> String # showList :: [ProtectiveEquipmentSummarizationAttributes] -> ShowS #
NFData ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods rnf :: ProtectiveEquipmentSummarizationAttributes -> () #
Eq ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods (==) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool # (/=) :: ProtectiveEquipmentSummarizationAttributes -> ProtectiveEquipmentSummarizationAttributes -> Bool #
Hashable ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes Methods hashWithSalt :: Int -> ProtectiveEquipmentSummarizationAttributes -> Int # hash :: ProtectiveEquipmentSummarizationAttributes -> Int #
type Rep ProtectiveEquipmentSummarizationAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes type Rep ProtectiveEquipmentSummarizationAttributes = D1 ('MetaData "ProtectiveEquipmentSummarizationAttributes" "Amazonka.Rekognition.Types.ProtectiveEquipmentSummarizationAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "ProtectiveEquipmentSummarizationAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "requiredEquipmentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ProtectiveEquipmentType])))

newProtectiveEquipmentSummarizationAttributes Source #

Arguments

:: Double	`$sel:minConfidence:ProtectiveEquipmentSummarizationAttributes'`
-> ProtectiveEquipmentSummarizationAttributes

Create a value of ProtectiveEquipmentSummarizationAttributes with all optional fields omitted.

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

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

$sel:minConfidence:ProtectiveEquipmentSummarizationAttributes', protectiveEquipmentSummarizationAttributes_minConfidence - The minimum confidence level for which you want summary information. The confidence level applies to person detection, body part detection, equipment detection, and body part coverage. Amazon Rekognition doesn't return summary information with a confidence than this specified value. There isn't a default value.

Specify a MinConfidence value that is between 50-100% as DetectProtectiveEquipment returns predictions only where the detection confidence is between 50% - 100%. If you specify a value that is less than 50%, the results are the same specifying a value of 50%.

$sel:requiredEquipmentTypes:ProtectiveEquipmentSummarizationAttributes', protectiveEquipmentSummarizationAttributes_requiredEquipmentTypes - An array of personal protective equipment types for which you want summary information. If a person is detected wearing a required requipment type, the person's ID is added to the PersonsWithRequiredEquipment array field returned in ProtectiveEquipmentSummary by DetectProtectiveEquipment.

protectiveEquipmentSummarizationAttributes_minConfidence :: Lens' ProtectiveEquipmentSummarizationAttributes Double Source #

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%.

protectiveEquipmentSummarizationAttributes_requiredEquipmentTypes :: Lens' ProtectiveEquipmentSummarizationAttributes [ProtectiveEquipmentType] Source #

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'

Fields

personsIndeterminate :: Maybe [Natural]
An array of IDs for persons where it was not possible to determine if they are wearing personal protective equipment.
personsWithRequiredEquipment :: Maybe [Natural]
An array of IDs for persons who are wearing detected personal protective equipment.
personsWithoutRequiredEquipment :: Maybe [Natural]
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.

Instances

Instances details

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

newProtectiveEquipmentSummary :: ProtectiveEquipmentSummary Source #

Create a value of ProtectiveEquipmentSummary with all optional fields omitted.

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

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

$sel:personsIndeterminate:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsIndeterminate - An array of IDs for persons where it was not possible to determine if they are wearing personal protective equipment.

$sel:personsWithRequiredEquipment:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsWithRequiredEquipment - An array of IDs for persons who are wearing detected personal protective equipment.

$sel:personsWithoutRequiredEquipment:ProtectiveEquipmentSummary', protectiveEquipmentSummary_personsWithoutRequiredEquipment - An array of IDs for persons who are not wearing all of the types of PPE specified in the RequiredEquipmentTypes field of the detected personal protective equipment.

protectiveEquipmentSummary_personsIndeterminate :: Lens' ProtectiveEquipmentSummary (Maybe [Natural]) Source #

An array of IDs for persons where it was not possible to determine if they are wearing personal protective equipment.

protectiveEquipmentSummary_personsWithRequiredEquipment :: Lens' ProtectiveEquipmentSummary (Maybe [Natural]) Source #

An array of IDs for persons who are wearing detected personal protective equipment.

protectiveEquipmentSummary_personsWithoutRequiredEquipment :: Lens' ProtectiveEquipmentSummary (Maybe [Natural]) Source #

An array of IDs for persons who are not wearing all of the types of PPE specified in the RequiredEquipmentTypes field of the detected personal protective equipment.

RegionOfInterest

data RegionOfInterest Source #

Specifies a location within the frame that Rekognition checks for objects of interest such as text, labels, or faces. It uses a BoundingBox or Polygon to set a region of the screen.

A word, face, or label is included in the region if it is more than half in that region. If there is more than one region, the word, face, or label is compared with all regions of the screen. Any object of interest that is more than half in a region is kept in the results.

See: newRegionOfInterest smart constructor.

Constructors

RegionOfInterest'
Fields boundingBox :: Maybe BoundingBox The box representing a region of interest on screen. polygon :: Maybe [Point] Specifies a shape made up of up to 10 `Point` objects to define a region of interest.

Instances

Instances details

FromJSON RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods parseJSON :: Value -> Parser RegionOfInterest # parseJSONList :: Value -> Parser [RegionOfInterest] #
ToJSON RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods toJSON :: RegionOfInterest -> Value # toEncoding :: RegionOfInterest -> Encoding # toJSONList :: [RegionOfInterest] -> Value # toEncodingList :: [RegionOfInterest] -> Encoding #
Generic RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Associated Types type Rep RegionOfInterest :: Type -> Type # Methods from :: RegionOfInterest -> Rep RegionOfInterest x # to :: Rep RegionOfInterest x -> RegionOfInterest #
Read RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods readsPrec :: Int -> ReadS RegionOfInterest # readList :: ReadS [RegionOfInterest] # readPrec :: ReadPrec RegionOfInterest # readListPrec :: ReadPrec [RegionOfInterest] #
Show RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods showsPrec :: Int -> RegionOfInterest -> ShowS # show :: RegionOfInterest -> String # showList :: [RegionOfInterest] -> ShowS #
NFData RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods rnf :: RegionOfInterest -> () #
Eq RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods (==) :: RegionOfInterest -> RegionOfInterest -> Bool # (/=) :: RegionOfInterest -> RegionOfInterest -> Bool #
Hashable RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest Methods hashWithSalt :: Int -> RegionOfInterest -> Int # hash :: RegionOfInterest -> Int #
type Rep RegionOfInterest Source #
Instance details Defined in Amazonka.Rekognition.Types.RegionOfInterest type Rep RegionOfInterest = D1 ('MetaData "RegionOfInterest" "Amazonka.Rekognition.Types.RegionOfInterest" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "RegionOfInterest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "boundingBox") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BoundingBox)) :*: S1 ('MetaSel ('Just "polygon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Point]))))

newRegionOfInterest :: RegionOfInterest Source #

Create a value of RegionOfInterest with all optional fields omitted.

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

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

$sel:boundingBox:RegionOfInterest', regionOfInterest_boundingBox - The box representing a region of interest on screen.

$sel:polygon:RegionOfInterest', regionOfInterest_polygon - Specifies a shape made up of up to 10 Point objects to define a region of interest.

regionOfInterest_boundingBox :: Lens' RegionOfInterest (Maybe BoundingBox) Source #

The box representing a region of interest on screen.

regionOfInterest_polygon :: Lens' RegionOfInterest (Maybe [Point]) Source #

Specifies a shape made up of up to 10 Point objects to define a region of interest.

S3Destination

data S3Destination Source #

The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation. These results include the name of the stream processor resource, the session ID of the stream processing session, and labeled timestamps and bounding boxes for detected labels.

See: newS3Destination smart constructor.

Constructors

S3Destination'
Fields bucket :: Maybe Text The name of the Amazon S3 bucket you want to associate with the streaming video project. You must be the owner of the Amazon S3 bucket. keyPrefix :: Maybe Text The prefix value of the location within the bucket that you want the information to be published to. For more information, see Using prefixes.

Instances

Instances details

FromJSON S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods parseJSON :: Value -> Parser S3Destination # parseJSONList :: Value -> Parser [S3Destination] #
ToJSON S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods toJSON :: S3Destination -> Value # toEncoding :: S3Destination -> Encoding # toJSONList :: [S3Destination] -> Value # toEncodingList :: [S3Destination] -> Encoding #
Generic S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Associated Types type Rep S3Destination :: Type -> Type # Methods from :: S3Destination -> Rep S3Destination x # to :: Rep S3Destination x -> S3Destination #
Read S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods readsPrec :: Int -> ReadS S3Destination # readList :: ReadS [S3Destination] # readPrec :: ReadPrec S3Destination # readListPrec :: ReadPrec [S3Destination] #
Show S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods showsPrec :: Int -> S3Destination -> ShowS # show :: S3Destination -> String # showList :: [S3Destination] -> ShowS #
NFData S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods rnf :: S3Destination -> () #
Eq S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods (==) :: S3Destination -> S3Destination -> Bool # (/=) :: S3Destination -> S3Destination -> Bool #
Hashable S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination Methods hashWithSalt :: Int -> S3Destination -> Int # hash :: S3Destination -> Int #
type Rep S3Destination Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Destination type Rep S3Destination = D1 ('MetaData "S3Destination" "Amazonka.Rekognition.Types.S3Destination" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "S3Destination'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "keyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newS3Destination :: S3Destination Source #

Create a value of S3Destination with all optional fields omitted.

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

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

$sel:bucket:S3Destination', s3Destination_bucket - The name of the Amazon S3 bucket you want to associate with the streaming video project. You must be the owner of the Amazon S3 bucket.

$sel:keyPrefix:S3Destination', s3Destination_keyPrefix - The prefix value of the location within the bucket that you want the information to be published to. For more information, see Using prefixes.

s3Destination_bucket :: Lens' S3Destination (Maybe Text) Source #

The name of the Amazon S3 bucket you want to associate with the streaming video project. You must be the owner of the Amazon S3 bucket.

s3Destination_keyPrefix :: Lens' S3Destination (Maybe Text) Source #

The prefix value of the location within the bucket that you want the information to be published to. For more information, see Using prefixes.

S3Object

data S3Object Source #

Provides the S3 bucket name and object name.

The region for the S3 bucket containing the S3 object must match the region you use for Amazon Rekognition operations.

For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. For more information, see How Amazon Rekognition works with IAM in the Amazon Rekognition Developer Guide.

See: newS3Object smart constructor.

Constructors

S3Object'
Fields bucket :: Maybe Text Name of the S3 bucket. name :: Maybe Text S3 object key name. version :: Maybe Text If the bucket is versioning enabled, you can specify the object version.

Instances

Instances details

FromJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods parseJSON :: Value -> Parser S3Object # parseJSONList :: Value -> Parser [S3Object] #
ToJSON S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods toJSON :: S3Object -> Value # toEncoding :: S3Object -> Encoding # toJSONList :: [S3Object] -> Value # toEncodingList :: [S3Object] -> Encoding #
Generic S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Associated Types type Rep S3Object :: Type -> Type # Methods from :: S3Object -> Rep S3Object x # to :: Rep S3Object x -> S3Object #
Read S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods readsPrec :: Int -> ReadS S3Object # readList :: ReadS [S3Object] # readPrec :: ReadPrec S3Object # readListPrec :: ReadPrec [S3Object] #
Show S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods showsPrec :: Int -> S3Object -> ShowS # show :: S3Object -> String # showList :: [S3Object] -> ShowS #
NFData S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods rnf :: S3Object -> () #
Eq S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods (==) :: S3Object -> S3Object -> Bool # (/=) :: S3Object -> S3Object -> Bool #
Hashable S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object Methods hashWithSalt :: Int -> S3Object -> Int # hash :: S3Object -> Int #
type Rep S3Object Source #
Instance details Defined in Amazonka.Rekognition.Types.S3Object type Rep S3Object = D1 ('MetaData "S3Object" "Amazonka.Rekognition.Types.S3Object" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "S3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newS3Object :: S3Object Source #

Create a value of S3Object with all optional fields omitted.

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

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

$sel:bucket:S3Object', s3Object_bucket - Name of the S3 bucket.

$sel:name:S3Object', s3Object_name - S3 object key name.

$sel:version:S3Object', s3Object_version - If the bucket is versioning enabled, you can specify the object version.

s3Object_bucket :: Lens' S3Object (Maybe Text) Source #

Name of the S3 bucket.

s3Object_name :: Lens' S3Object (Maybe Text) Source #

S3 object key name.

s3Object_version :: Lens' S3Object (Maybe Text) Source #

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'

Fields

durationFrames :: Maybe Natural
The duration of a video segment, expressed in frames.
durationMillis :: Maybe Natural
The duration of the detected segment in milliseconds.
durationSMPTE :: Maybe Text
The duration of the timecode for the detected segment in SMPTE format.
endFrameNumber :: Maybe Natural
The frame number at the end of a video segment, using a frame index that starts with 0.
endTimecodeSMPTE :: Maybe Text
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).
endTimestampMillis :: Maybe Integer
The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.
shotSegment :: Maybe ShotSegment
If the segment is a shot detection, contains information about the shot detection.
startFrameNumber :: Maybe Natural
The frame number of the start of a video segment, using a frame index that starts with 0.
startTimecodeSMPTE :: Maybe Text
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).
startTimestampMillis :: Maybe Integer
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.
technicalCueSegment :: Maybe TechnicalCueSegment
If the segment is a technical cue, contains information about the technical cue.
type' :: Maybe SegmentType
The type of the segment. Valid values are TECHNICAL_CUE and SHOT.

Instances

Instances details

FromJSON SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods parseJSON :: Value -> Parser SegmentDetection # parseJSONList :: Value -> Parser [SegmentDetection] #
Generic SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Associated Types type Rep SegmentDetection :: Type -> Type # Methods from :: SegmentDetection -> Rep SegmentDetection x # to :: Rep SegmentDetection x -> SegmentDetection #
Read SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods readsPrec :: Int -> ReadS SegmentDetection # readList :: ReadS [SegmentDetection] # readPrec :: ReadPrec SegmentDetection # readListPrec :: ReadPrec [SegmentDetection] #
Show SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods showsPrec :: Int -> SegmentDetection -> ShowS # show :: SegmentDetection -> String # showList :: [SegmentDetection] -> ShowS #
NFData SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods rnf :: SegmentDetection -> () #
Eq SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods (==) :: SegmentDetection -> SegmentDetection -> Bool # (/=) :: SegmentDetection -> SegmentDetection -> Bool #
Hashable SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection Methods hashWithSalt :: Int -> SegmentDetection -> Int # hash :: SegmentDetection -> Int #
type Rep SegmentDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.SegmentDetection type Rep SegmentDetection = D1 ('MetaData "SegmentDetection" "Amazonka.Rekognition.Types.SegmentDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "SegmentDetection'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "durationFrames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "durationSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "endFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "endTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "endTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))) :: ((S1 ('MetaSel ('Just "shotSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ShotSegment)) :: (S1 ('MetaSel ('Just "startFrameNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "startTimecodeSMPTE") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "startTimestampMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "technicalCueSegment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TechnicalCueSegment)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SegmentType)))))))

newSegmentDetection :: SegmentDetection Source #

Create a value of SegmentDetection with all optional fields omitted.

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

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

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

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

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

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

$sel:endTimecodeSMPTE:SegmentDetection', segmentDetection_endTimecodeSMPTE - The frame-accurate SMPTE timecode, from the start of a video, for the end of a detected segment. EndTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).

$sel:endTimestampMillis:SegmentDetection', segmentDetection_endTimestampMillis - The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.

$sel:shotSegment:SegmentDetection', segmentDetection_shotSegment - If the segment is a shot detection, contains information about the shot detection.

$sel:startFrameNumber:SegmentDetection', segmentDetection_startFrameNumber - The frame number of the start of a video segment, using a frame index that starts with 0.

$sel:startTimecodeSMPTE:SegmentDetection', segmentDetection_startTimecodeSMPTE - The frame-accurate SMPTE timecode, from the start of a video, for the start of a detected segment. StartTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).

$sel:startTimestampMillis:SegmentDetection', segmentDetection_startTimestampMillis - The start time of the detected segment in milliseconds from the start of the video. This value is rounded down. For example, if the actual timestamp is 100.6667 milliseconds, Amazon Rekognition Video returns a value of 100 millis.

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

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

segmentDetection_durationFrames :: Lens' SegmentDetection (Maybe Natural) Source #

The duration of a video segment, expressed in frames.

segmentDetection_durationMillis :: Lens' SegmentDetection (Maybe Natural) Source #

The duration of the detected segment in milliseconds.

segmentDetection_durationSMPTE :: Lens' SegmentDetection (Maybe Text) Source #

The duration of the timecode for the detected segment in SMPTE format.

segmentDetection_endFrameNumber :: Lens' SegmentDetection (Maybe Natural) Source #

The frame number at the end of a video segment, using a frame index that starts with 0.

segmentDetection_endTimecodeSMPTE :: Lens' SegmentDetection (Maybe Text) Source #

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).

segmentDetection_endTimestampMillis :: Lens' SegmentDetection (Maybe Integer) Source #

The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.

segmentDetection_shotSegment :: Lens' SegmentDetection (Maybe ShotSegment) Source #

If the segment is a shot detection, contains information about the shot detection.

segmentDetection_startFrameNumber :: Lens' SegmentDetection (Maybe Natural) Source #

The frame number of the start of a video segment, using a frame index that starts with 0.

segmentDetection_startTimecodeSMPTE :: Lens' SegmentDetection (Maybe Text) Source #

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).

segmentDetection_startTimestampMillis :: Lens' SegmentDetection (Maybe Integer) Source #

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.

segmentDetection_technicalCueSegment :: Lens' SegmentDetection (Maybe TechnicalCueSegment) Source #

If the segment is a technical cue, contains information about the technical cue.

segmentDetection_type :: Lens' SegmentDetection (Maybe SegmentType) Source #

The type of the segment. Valid values are TECHNICAL_CUE and SHOT.

SegmentTypeInfo

data SegmentTypeInfo Source #

Information about the type of a segment requested in a call to StartSegmentDetection. An array of SegmentTypeInfo objects is returned by the response from GetSegmentDetection.

See: newSegmentTypeInfo smart constructor.

Constructors

SegmentTypeInfo'
Fields modelVersion :: Maybe Text The version of the model used to detect segments. type' :: Maybe SegmentType The type of a segment (technical cue or shot detection).

Instances

Instances details

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

newSegmentTypeInfo :: SegmentTypeInfo Source #

Create a value of SegmentTypeInfo with all optional fields omitted.

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

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

$sel:modelVersion:SegmentTypeInfo', segmentTypeInfo_modelVersion - The version of the model used to detect segments.

$sel:type':SegmentTypeInfo', segmentTypeInfo_type - The type of a segment (technical cue or shot detection).

segmentTypeInfo_modelVersion :: Lens' SegmentTypeInfo (Maybe Text) Source #

The version of the model used to detect segments.

segmentTypeInfo_type :: Lens' SegmentTypeInfo (Maybe SegmentType) Source #

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'
Fields confidence :: Maybe Double The confidence that Amazon Rekognition Video has in the accuracy of the detected segment. index :: Maybe Natural An Identifier for a shot detection segment detected in a video.

Instances

Instances details

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

newShotSegment :: ShotSegment Source #

Create a value of ShotSegment with all optional fields omitted.

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

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

$sel:confidence:ShotSegment', shotSegment_confidence - The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

$sel:index:ShotSegment', shotSegment_index - An Identifier for a shot detection segment detected in a video.

shotSegment_confidence :: Lens' ShotSegment (Maybe Double) Source #

The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

shotSegment_index :: Lens' ShotSegment (Maybe Natural) Source #

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'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the face is smiling or not.

Instances

Instances details

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

newSmile :: Smile Source #

Create a value of Smile with all optional fields omitted.

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

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

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

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

smile_confidence :: Lens' Smile (Maybe Double) Source #

Level of confidence in the determination.

smile_value :: Lens' Smile (Maybe Bool) Source #

Boolean value that indicates whether the face is smiling or not.

StartSegmentDetectionFilters

data StartSegmentDetectionFilters Source #

Filters applied to the technical cue or shot detection segments. For more information, see StartSegmentDetection.

See: newStartSegmentDetectionFilters smart constructor.

Constructors

StartSegmentDetectionFilters'
Fields shotFilter :: Maybe StartShotDetectionFilter Filters that are specific to shot detections. technicalCueFilter :: Maybe StartTechnicalCueDetectionFilter Filters that are specific to technical cues.

Instances

Instances details

ToJSON StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods toJSON :: StartSegmentDetectionFilters -> Value # toEncoding :: StartSegmentDetectionFilters -> Encoding # toJSONList :: [StartSegmentDetectionFilters] -> Value # toEncodingList :: [StartSegmentDetectionFilters] -> Encoding #
Generic StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Associated Types type Rep StartSegmentDetectionFilters :: Type -> Type # Methods from :: StartSegmentDetectionFilters -> Rep StartSegmentDetectionFilters x # to :: Rep StartSegmentDetectionFilters x -> StartSegmentDetectionFilters #
Read StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods readsPrec :: Int -> ReadS StartSegmentDetectionFilters # readList :: ReadS [StartSegmentDetectionFilters] # readPrec :: ReadPrec StartSegmentDetectionFilters # readListPrec :: ReadPrec [StartSegmentDetectionFilters] #
Show StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods showsPrec :: Int -> StartSegmentDetectionFilters -> ShowS # show :: StartSegmentDetectionFilters -> String # showList :: [StartSegmentDetectionFilters] -> ShowS #
NFData StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods rnf :: StartSegmentDetectionFilters -> () #
Eq StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods (==) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool # (/=) :: StartSegmentDetectionFilters -> StartSegmentDetectionFilters -> Bool #
Hashable StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters Methods hashWithSalt :: Int -> StartSegmentDetectionFilters -> Int # hash :: StartSegmentDetectionFilters -> Int #
type Rep StartSegmentDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartSegmentDetectionFilters type Rep StartSegmentDetectionFilters = D1 ('MetaData "StartSegmentDetectionFilters" "Amazonka.Rekognition.Types.StartSegmentDetectionFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartSegmentDetectionFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "shotFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartShotDetectionFilter)) :*: S1 ('MetaSel ('Just "technicalCueFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StartTechnicalCueDetectionFilter))))

newStartSegmentDetectionFilters :: StartSegmentDetectionFilters Source #

Create a value of StartSegmentDetectionFilters with all optional fields omitted.

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

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

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

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

startSegmentDetectionFilters_shotFilter :: Lens' StartSegmentDetectionFilters (Maybe StartShotDetectionFilter) Source #

Filters that are specific to shot detections.

startSegmentDetectionFilters_technicalCueFilter :: Lens' StartSegmentDetectionFilters (Maybe StartTechnicalCueDetectionFilter) Source #

Filters that are specific to technical cues.

StartShotDetectionFilter

data StartShotDetectionFilter Source #

Filters for the shot detection segments returned by GetSegmentDetection. For more information, see StartSegmentDetectionFilters.

See: newStartShotDetectionFilter smart constructor.

Constructors

StartShotDetectionFilter'

Fields

minSegmentConfidence :: Maybe Double
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.

Instances

Instances details

ToJSON StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods toJSON :: StartShotDetectionFilter -> Value # toEncoding :: StartShotDetectionFilter -> Encoding # toJSONList :: [StartShotDetectionFilter] -> Value # toEncodingList :: [StartShotDetectionFilter] -> Encoding #
Generic StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Associated Types type Rep StartShotDetectionFilter :: Type -> Type # Methods from :: StartShotDetectionFilter -> Rep StartShotDetectionFilter x # to :: Rep StartShotDetectionFilter x -> StartShotDetectionFilter #
Read StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods readsPrec :: Int -> ReadS StartShotDetectionFilter # readList :: ReadS [StartShotDetectionFilter] # readPrec :: ReadPrec StartShotDetectionFilter # readListPrec :: ReadPrec [StartShotDetectionFilter] #
Show StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods showsPrec :: Int -> StartShotDetectionFilter -> ShowS # show :: StartShotDetectionFilter -> String # showList :: [StartShotDetectionFilter] -> ShowS #
NFData StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods rnf :: StartShotDetectionFilter -> () #
Eq StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods (==) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool # (/=) :: StartShotDetectionFilter -> StartShotDetectionFilter -> Bool #
Hashable StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter Methods hashWithSalt :: Int -> StartShotDetectionFilter -> Int # hash :: StartShotDetectionFilter -> Int #
type Rep StartShotDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartShotDetectionFilter type Rep StartShotDetectionFilter = D1 ('MetaData "StartShotDetectionFilter" "Amazonka.Rekognition.Types.StartShotDetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartShotDetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minSegmentConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newStartShotDetectionFilter :: StartShotDetectionFilter Source #

Create a value of StartShotDetectionFilter with all optional fields omitted.

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

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

$sel:minSegmentConfidence:StartShotDetectionFilter', startShotDetectionFilter_minSegmentConfidence - Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, the GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

startShotDetectionFilter_minSegmentConfidence :: Lens' StartShotDetectionFilter (Maybe Double) Source #

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'

Fields

blackFrame :: Maybe 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.
minSegmentConfidence :: Maybe Double
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.

Instances

Instances details

ToJSON StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods toJSON :: StartTechnicalCueDetectionFilter -> Value # toEncoding :: StartTechnicalCueDetectionFilter -> Encoding # toJSONList :: [StartTechnicalCueDetectionFilter] -> Value # toEncodingList :: [StartTechnicalCueDetectionFilter] -> Encoding #
Generic StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Associated Types type Rep StartTechnicalCueDetectionFilter :: Type -> Type # Methods from :: StartTechnicalCueDetectionFilter -> Rep StartTechnicalCueDetectionFilter x # to :: Rep StartTechnicalCueDetectionFilter x -> StartTechnicalCueDetectionFilter #
Read StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods readsPrec :: Int -> ReadS StartTechnicalCueDetectionFilter # readList :: ReadS [StartTechnicalCueDetectionFilter] # readPrec :: ReadPrec StartTechnicalCueDetectionFilter # readListPrec :: ReadPrec [StartTechnicalCueDetectionFilter] #
Show StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods showsPrec :: Int -> StartTechnicalCueDetectionFilter -> ShowS # show :: StartTechnicalCueDetectionFilter -> String # showList :: [StartTechnicalCueDetectionFilter] -> ShowS #
NFData StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods rnf :: StartTechnicalCueDetectionFilter -> () #
Eq StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods (==) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool # (/=) :: StartTechnicalCueDetectionFilter -> StartTechnicalCueDetectionFilter -> Bool #
Hashable StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter Methods hashWithSalt :: Int -> StartTechnicalCueDetectionFilter -> Int # hash :: StartTechnicalCueDetectionFilter -> Int #
type Rep StartTechnicalCueDetectionFilter Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter type Rep StartTechnicalCueDetectionFilter = D1 ('MetaData "StartTechnicalCueDetectionFilter" "Amazonka.Rekognition.Types.StartTechnicalCueDetectionFilter" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTechnicalCueDetectionFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "blackFrame") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BlackFrame)) :*: S1 ('MetaSel ('Just "minSegmentConfidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newStartTechnicalCueDetectionFilter :: StartTechnicalCueDetectionFilter Source #

Create a value of StartTechnicalCueDetectionFilter with all optional fields omitted.

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

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

$sel:blackFrame:StartTechnicalCueDetectionFilter', startTechnicalCueDetectionFilter_blackFrame - A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame. Videos can come from multiple sources, formats, and time periods, with different standards and varying noise levels for black frames that need to be accounted for.

$sel:minSegmentConfidence:StartTechnicalCueDetectionFilter', startTechnicalCueDetectionFilter_minSegmentConfidence - Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

startTechnicalCueDetectionFilter_blackFrame :: Lens' StartTechnicalCueDetectionFilter (Maybe 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. 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.

startTechnicalCueDetectionFilter_minSegmentConfidence :: Lens' StartTechnicalCueDetectionFilter (Maybe Double) Source #

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'
Fields regionsOfInterest :: Maybe [RegionOfInterest] Filter focusing on a certain area of the frame. Uses a `BoundingBox` object to set the region of the screen. wordFilter :: Maybe DetectionFilter Filters focusing on qualities of the text, such as confidence or size.

Instances

Instances details

ToJSON StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods toJSON :: StartTextDetectionFilters -> Value # toEncoding :: StartTextDetectionFilters -> Encoding # toJSONList :: [StartTextDetectionFilters] -> Value # toEncodingList :: [StartTextDetectionFilters] -> Encoding #
Generic StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Associated Types type Rep StartTextDetectionFilters :: Type -> Type # Methods from :: StartTextDetectionFilters -> Rep StartTextDetectionFilters x # to :: Rep StartTextDetectionFilters x -> StartTextDetectionFilters #
Read StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods readsPrec :: Int -> ReadS StartTextDetectionFilters # readList :: ReadS [StartTextDetectionFilters] # readPrec :: ReadPrec StartTextDetectionFilters # readListPrec :: ReadPrec [StartTextDetectionFilters] #
Show StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods showsPrec :: Int -> StartTextDetectionFilters -> ShowS # show :: StartTextDetectionFilters -> String # showList :: [StartTextDetectionFilters] -> ShowS #
NFData StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods rnf :: StartTextDetectionFilters -> () #
Eq StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods (==) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool # (/=) :: StartTextDetectionFilters -> StartTextDetectionFilters -> Bool #
Hashable StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters Methods hashWithSalt :: Int -> StartTextDetectionFilters -> Int # hash :: StartTextDetectionFilters -> Int #
type Rep StartTextDetectionFilters Source #
Instance details Defined in Amazonka.Rekognition.Types.StartTextDetectionFilters type Rep StartTextDetectionFilters = D1 ('MetaData "StartTextDetectionFilters" "Amazonka.Rekognition.Types.StartTextDetectionFilters" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StartTextDetectionFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "regionsOfInterest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RegionOfInterest])) :*: S1 ('MetaSel ('Just "wordFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectionFilter))))

newStartTextDetectionFilters :: StartTextDetectionFilters Source #

Create a value of StartTextDetectionFilters with all optional fields omitted.

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

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

$sel:regionsOfInterest:StartTextDetectionFilters', startTextDetectionFilters_regionsOfInterest - Filter focusing on a certain area of the frame. Uses a BoundingBox object to set the region of the screen.

$sel:wordFilter:StartTextDetectionFilters', startTextDetectionFilters_wordFilter - Filters focusing on qualities of the text, such as confidence or size.

startTextDetectionFilters_regionsOfInterest :: Lens' StartTextDetectionFilters (Maybe [RegionOfInterest]) Source #

Filter focusing on a certain area of the frame. Uses a BoundingBox object to set the region of the screen.

startTextDetectionFilters_wordFilter :: Lens' StartTextDetectionFilters (Maybe DetectionFilter) Source #

Filters focusing on qualities of the text, such as confidence or size.

StreamProcessingStartSelector

data StreamProcessingStartSelector Source #

This is a required parameter for label detection stream processors and should not be used to start a face search stream processor.

See: newStreamProcessingStartSelector smart constructor.

Constructors

StreamProcessingStartSelector'
Fields kVSStreamStartSelector :: Maybe KinesisVideoStreamStartSelector Specifies the starting point in the stream to start processing. This can be done with a producer timestamp or a fragment number in a Kinesis stream.

Instances

Instances details

ToJSON StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods toJSON :: StreamProcessingStartSelector -> Value # toEncoding :: StreamProcessingStartSelector -> Encoding # toJSONList :: [StreamProcessingStartSelector] -> Value # toEncodingList :: [StreamProcessingStartSelector] -> Encoding #
Generic StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Associated Types type Rep StreamProcessingStartSelector :: Type -> Type # Methods from :: StreamProcessingStartSelector -> Rep StreamProcessingStartSelector x # to :: Rep StreamProcessingStartSelector x -> StreamProcessingStartSelector #
Read StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods readsPrec :: Int -> ReadS StreamProcessingStartSelector # readList :: ReadS [StreamProcessingStartSelector] # readPrec :: ReadPrec StreamProcessingStartSelector # readListPrec :: ReadPrec [StreamProcessingStartSelector] #
Show StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods showsPrec :: Int -> StreamProcessingStartSelector -> ShowS # show :: StreamProcessingStartSelector -> String # showList :: [StreamProcessingStartSelector] -> ShowS #
NFData StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods rnf :: StreamProcessingStartSelector -> () #
Eq StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods (==) :: StreamProcessingStartSelector -> StreamProcessingStartSelector -> Bool # (/=) :: StreamProcessingStartSelector -> StreamProcessingStartSelector -> Bool #
Hashable StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector Methods hashWithSalt :: Int -> StreamProcessingStartSelector -> Int # hash :: StreamProcessingStartSelector -> Int #
type Rep StreamProcessingStartSelector Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessingStartSelector type Rep StreamProcessingStartSelector = D1 ('MetaData "StreamProcessingStartSelector" "Amazonka.Rekognition.Types.StreamProcessingStartSelector" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessingStartSelector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kVSStreamStartSelector") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisVideoStreamStartSelector))))

newStreamProcessingStartSelector :: StreamProcessingStartSelector Source #

Create a value of StreamProcessingStartSelector with all optional fields omitted.

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

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

$sel:kVSStreamStartSelector:StreamProcessingStartSelector', streamProcessingStartSelector_kVSStreamStartSelector - Specifies the starting point in the stream to start processing. This can be done with a producer timestamp or a fragment number in a Kinesis stream.

streamProcessingStartSelector_kVSStreamStartSelector :: Lens' StreamProcessingStartSelector (Maybe KinesisVideoStreamStartSelector) Source #

Specifies the starting point in the stream to start processing. This can be done with a producer timestamp or a fragment number in a Kinesis stream.

StreamProcessingStopSelector

data StreamProcessingStopSelector Source #

Specifies when to stop processing the stream. You can specify a maximum amount of time to process the video.

See: newStreamProcessingStopSelector smart constructor.

Constructors

StreamProcessingStopSelector'
Fields maxDurationInSeconds :: Maybe Natural Specifies the maximum amount of time in seconds that you want the stream to be processed. The largest amount of time is 2 minutes. The default is 10 seconds.

Instances

Instances details

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

newStreamProcessingStopSelector :: StreamProcessingStopSelector Source #

Create a value of StreamProcessingStopSelector with all optional fields omitted.

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

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

$sel:maxDurationInSeconds:StreamProcessingStopSelector', streamProcessingStopSelector_maxDurationInSeconds - Specifies the maximum amount of time in seconds that you want the stream to be processed. The largest amount of time is 2 minutes. The default is 10 seconds.

streamProcessingStopSelector_maxDurationInSeconds :: Lens' StreamProcessingStopSelector (Maybe Natural) Source #

Specifies the maximum amount of time in seconds that you want the stream to be processed. The largest amount of time is 2 minutes. The default is 10 seconds.

StreamProcessor

data StreamProcessor Source #

An object that recognizes faces or labels in a streaming video. An Amazon Rekognition stream processor is created by a call to CreateStreamProcessor. The request parameters for CreateStreamProcessor describe the Kinesis video stream source for the streaming video, face recognition parameters, and where to stream the analysis resullts.

See: newStreamProcessor smart constructor.

Constructors

StreamProcessor'
Fields name :: Maybe Text Name of the Amazon Rekognition stream processor. status :: Maybe StreamProcessorStatus Current status of the Amazon Rekognition stream processor.

Instances

Instances details

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

newStreamProcessor :: StreamProcessor Source #

Create a value of StreamProcessor with all optional fields omitted.

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

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

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

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

streamProcessor_name :: Lens' StreamProcessor (Maybe Text) Source #

Name of the Amazon Rekognition stream processor.

streamProcessor_status :: Lens' StreamProcessor (Maybe StreamProcessorStatus) Source #

Current status of the Amazon Rekognition stream processor.

StreamProcessorDataSharingPreference

data StreamProcessorDataSharingPreference Source #

Allows you to opt in or opt out to share data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.

See: newStreamProcessorDataSharingPreference smart constructor.

Constructors

StreamProcessorDataSharingPreference'
Fields optIn :: Bool If this option is set to true, you choose to share data with Rekognition to improve model performance.

Instances

Instances details

FromJSON StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods parseJSON :: Value -> Parser StreamProcessorDataSharingPreference # parseJSONList :: Value -> Parser [StreamProcessorDataSharingPreference] #
ToJSON StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods toJSON :: StreamProcessorDataSharingPreference -> Value # toEncoding :: StreamProcessorDataSharingPreference -> Encoding # toJSONList :: [StreamProcessorDataSharingPreference] -> Value # toEncodingList :: [StreamProcessorDataSharingPreference] -> Encoding #
Generic StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Associated Types type Rep StreamProcessorDataSharingPreference :: Type -> Type # Methods from :: StreamProcessorDataSharingPreference -> Rep StreamProcessorDataSharingPreference x # to :: Rep StreamProcessorDataSharingPreference x -> StreamProcessorDataSharingPreference #
Read StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods readsPrec :: Int -> ReadS StreamProcessorDataSharingPreference # readList :: ReadS [StreamProcessorDataSharingPreference] # readPrec :: ReadPrec StreamProcessorDataSharingPreference # readListPrec :: ReadPrec [StreamProcessorDataSharingPreference] #
Show StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods showsPrec :: Int -> StreamProcessorDataSharingPreference -> ShowS # show :: StreamProcessorDataSharingPreference -> String # showList :: [StreamProcessorDataSharingPreference] -> ShowS #
NFData StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods rnf :: StreamProcessorDataSharingPreference -> () #
Eq StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods (==) :: StreamProcessorDataSharingPreference -> StreamProcessorDataSharingPreference -> Bool # (/=) :: StreamProcessorDataSharingPreference -> StreamProcessorDataSharingPreference -> Bool #
Hashable StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference Methods hashWithSalt :: Int -> StreamProcessorDataSharingPreference -> Int # hash :: StreamProcessorDataSharingPreference -> Int #
type Rep StreamProcessorDataSharingPreference Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference type Rep StreamProcessorDataSharingPreference = D1 ('MetaData "StreamProcessorDataSharingPreference" "Amazonka.Rekognition.Types.StreamProcessorDataSharingPreference" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorDataSharingPreference'" 'PrefixI 'True) (S1 ('MetaSel ('Just "optIn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Bool)))

newStreamProcessorDataSharingPreference Source #

Arguments

:: Bool	`$sel:optIn:StreamProcessorDataSharingPreference'`
-> StreamProcessorDataSharingPreference

Create a value of StreamProcessorDataSharingPreference with all optional fields omitted.

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

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

$sel:optIn:StreamProcessorDataSharingPreference', streamProcessorDataSharingPreference_optIn - If this option is set to true, you choose to share data with Rekognition to improve model performance.

streamProcessorDataSharingPreference_optIn :: Lens' StreamProcessorDataSharingPreference Bool Source #

If this option is set to true, you choose to share data with Rekognition to improve model performance.

StreamProcessorInput

data StreamProcessorInput Source #

Information about the source streaming video.

See: newStreamProcessorInput smart constructor.

Constructors

StreamProcessorInput'
Fields kinesisVideoStream :: Maybe KinesisVideoStream The Kinesis video stream input stream for the source streaming video.

Instances

Instances details

FromJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods parseJSON :: Value -> Parser StreamProcessorInput # parseJSONList :: Value -> Parser [StreamProcessorInput] #
ToJSON StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods toJSON :: StreamProcessorInput -> Value # toEncoding :: StreamProcessorInput -> Encoding # toJSONList :: [StreamProcessorInput] -> Value # toEncodingList :: [StreamProcessorInput] -> Encoding #
Generic StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Associated Types type Rep StreamProcessorInput :: Type -> Type # Methods from :: StreamProcessorInput -> Rep StreamProcessorInput x # to :: Rep StreamProcessorInput x -> StreamProcessorInput #
Read StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods readsPrec :: Int -> ReadS StreamProcessorInput # readList :: ReadS [StreamProcessorInput] # readPrec :: ReadPrec StreamProcessorInput # readListPrec :: ReadPrec [StreamProcessorInput] #
Show StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods showsPrec :: Int -> StreamProcessorInput -> ShowS # show :: StreamProcessorInput -> String # showList :: [StreamProcessorInput] -> ShowS #
NFData StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods rnf :: StreamProcessorInput -> () #
Eq StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods (==) :: StreamProcessorInput -> StreamProcessorInput -> Bool # (/=) :: StreamProcessorInput -> StreamProcessorInput -> Bool #
Hashable StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput Methods hashWithSalt :: Int -> StreamProcessorInput -> Int # hash :: StreamProcessorInput -> Int #
type Rep StreamProcessorInput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorInput type Rep StreamProcessorInput = D1 ('MetaData "StreamProcessorInput" "Amazonka.Rekognition.Types.StreamProcessorInput" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kinesisVideoStream") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisVideoStream))))

newStreamProcessorInput :: StreamProcessorInput Source #

Create a value of StreamProcessorInput with all optional fields omitted.

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

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

$sel:kinesisVideoStream:StreamProcessorInput', streamProcessorInput_kinesisVideoStream - The Kinesis video stream input stream for the source streaming video.

streamProcessorInput_kinesisVideoStream :: Lens' StreamProcessorInput (Maybe KinesisVideoStream) Source #

The Kinesis video stream input stream for the source streaming video.

StreamProcessorNotificationChannel

data StreamProcessorNotificationChannel Source #

The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the object detection results and completion status of a video analysis operation.

Amazon Rekognition publishes a notification the first time an object of interest or a person is detected in the video stream. For example, if Amazon Rekognition detects a person at second 2, a pet at second 4, and a person again at second 5, Amazon Rekognition sends 2 object class detected notifications, one for a person at second 2 and one for a pet at second 4.

Amazon Rekognition also publishes an an end-of-session notification with a summary when the stream processing session is complete.

See: newStreamProcessorNotificationChannel smart constructor.

Constructors

StreamProcessorNotificationChannel'
Fields sNSTopicArn :: Text The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification Service topic to which Amazon Rekognition posts the completion status.

Instances

Instances details

FromJSON StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods parseJSON :: Value -> Parser StreamProcessorNotificationChannel # parseJSONList :: Value -> Parser [StreamProcessorNotificationChannel] #
ToJSON StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods toJSON :: StreamProcessorNotificationChannel -> Value # toEncoding :: StreamProcessorNotificationChannel -> Encoding # toJSONList :: [StreamProcessorNotificationChannel] -> Value # toEncodingList :: [StreamProcessorNotificationChannel] -> Encoding #
Generic StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Associated Types type Rep StreamProcessorNotificationChannel :: Type -> Type # Methods from :: StreamProcessorNotificationChannel -> Rep StreamProcessorNotificationChannel x # to :: Rep StreamProcessorNotificationChannel x -> StreamProcessorNotificationChannel #
Read StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods readsPrec :: Int -> ReadS StreamProcessorNotificationChannel # readList :: ReadS [StreamProcessorNotificationChannel] # readPrec :: ReadPrec StreamProcessorNotificationChannel # readListPrec :: ReadPrec [StreamProcessorNotificationChannel] #
Show StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods showsPrec :: Int -> StreamProcessorNotificationChannel -> ShowS # show :: StreamProcessorNotificationChannel -> String # showList :: [StreamProcessorNotificationChannel] -> ShowS #
NFData StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods rnf :: StreamProcessorNotificationChannel -> () #
Eq StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods (==) :: StreamProcessorNotificationChannel -> StreamProcessorNotificationChannel -> Bool # (/=) :: StreamProcessorNotificationChannel -> StreamProcessorNotificationChannel -> Bool #
Hashable StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel Methods hashWithSalt :: Int -> StreamProcessorNotificationChannel -> Int # hash :: StreamProcessorNotificationChannel -> Int #
type Rep StreamProcessorNotificationChannel Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorNotificationChannel type Rep StreamProcessorNotificationChannel = D1 ('MetaData "StreamProcessorNotificationChannel" "Amazonka.Rekognition.Types.StreamProcessorNotificationChannel" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorNotificationChannel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sNSTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newStreamProcessorNotificationChannel Source #

Arguments

:: Text	`$sel:sNSTopicArn:StreamProcessorNotificationChannel'`
-> StreamProcessorNotificationChannel

Create a value of StreamProcessorNotificationChannel with all optional fields omitted.

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

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

$sel:sNSTopicArn:StreamProcessorNotificationChannel', streamProcessorNotificationChannel_sNSTopicArn - The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification Service topic to which Amazon Rekognition posts the completion status.

streamProcessorNotificationChannel_sNSTopicArn :: Lens' StreamProcessorNotificationChannel Text Source #

The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification Service topic to which Amazon Rekognition posts the completion status.

StreamProcessorOutput

data StreamProcessorOutput Source #

Information about the Amazon Kinesis Data Streams stream to which a Amazon Rekognition Video stream processor streams the results of a video analysis. For more information, see CreateStreamProcessor in the Amazon Rekognition Developer Guide.

See: newStreamProcessorOutput smart constructor.

Constructors

StreamProcessorOutput'
Fields kinesisDataStream :: Maybe KinesisDataStream The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results. s3Destination :: Maybe S3Destination The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.

Instances

Instances details

FromJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods parseJSON :: Value -> Parser StreamProcessorOutput # parseJSONList :: Value -> Parser [StreamProcessorOutput] #
ToJSON StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods toJSON :: StreamProcessorOutput -> Value # toEncoding :: StreamProcessorOutput -> Encoding # toJSONList :: [StreamProcessorOutput] -> Value # toEncodingList :: [StreamProcessorOutput] -> Encoding #
Generic StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Associated Types type Rep StreamProcessorOutput :: Type -> Type # Methods from :: StreamProcessorOutput -> Rep StreamProcessorOutput x # to :: Rep StreamProcessorOutput x -> StreamProcessorOutput #
Read StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods readsPrec :: Int -> ReadS StreamProcessorOutput # readList :: ReadS [StreamProcessorOutput] # readPrec :: ReadPrec StreamProcessorOutput # readListPrec :: ReadPrec [StreamProcessorOutput] #
Show StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods showsPrec :: Int -> StreamProcessorOutput -> ShowS # show :: StreamProcessorOutput -> String # showList :: [StreamProcessorOutput] -> ShowS #
NFData StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods rnf :: StreamProcessorOutput -> () #
Eq StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods (==) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool # (/=) :: StreamProcessorOutput -> StreamProcessorOutput -> Bool #
Hashable StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput Methods hashWithSalt :: Int -> StreamProcessorOutput -> Int # hash :: StreamProcessorOutput -> Int #
type Rep StreamProcessorOutput Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorOutput type Rep StreamProcessorOutput = D1 ('MetaData "StreamProcessorOutput" "Amazonka.Rekognition.Types.StreamProcessorOutput" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kinesisDataStream") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisDataStream)) :*: S1 ('MetaSel ('Just "s3Destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Destination))))

newStreamProcessorOutput :: StreamProcessorOutput Source #

Create a value of StreamProcessorOutput with all optional fields omitted.

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

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

$sel:kinesisDataStream:StreamProcessorOutput', streamProcessorOutput_kinesisDataStream - The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results.

$sel:s3Destination:StreamProcessorOutput', streamProcessorOutput_s3Destination - The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.

streamProcessorOutput_kinesisDataStream :: Lens' StreamProcessorOutput (Maybe KinesisDataStream) Source #

The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results.

streamProcessorOutput_s3Destination :: Lens' StreamProcessorOutput (Maybe S3Destination) Source #

The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.

StreamProcessorSettings

data StreamProcessorSettings Source #

Input parameters used in a streaming video analyzed by a Amazon Rekognition stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.

See: newStreamProcessorSettings smart constructor.

Constructors

StreamProcessorSettings'
Fields connectedHome :: Maybe ConnectedHomeSettings faceSearch :: Maybe FaceSearchSettings Face search settings to use on a streaming video.

Instances

Instances details

FromJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods parseJSON :: Value -> Parser StreamProcessorSettings # parseJSONList :: Value -> Parser [StreamProcessorSettings] #
ToJSON StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods toJSON :: StreamProcessorSettings -> Value # toEncoding :: StreamProcessorSettings -> Encoding # toJSONList :: [StreamProcessorSettings] -> Value # toEncodingList :: [StreamProcessorSettings] -> Encoding #
Generic StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Associated Types type Rep StreamProcessorSettings :: Type -> Type # Methods from :: StreamProcessorSettings -> Rep StreamProcessorSettings x # to :: Rep StreamProcessorSettings x -> StreamProcessorSettings #
Read StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods readsPrec :: Int -> ReadS StreamProcessorSettings # readList :: ReadS [StreamProcessorSettings] # readPrec :: ReadPrec StreamProcessorSettings # readListPrec :: ReadPrec [StreamProcessorSettings] #
Show StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods showsPrec :: Int -> StreamProcessorSettings -> ShowS # show :: StreamProcessorSettings -> String # showList :: [StreamProcessorSettings] -> ShowS #
NFData StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods rnf :: StreamProcessorSettings -> () #
Eq StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods (==) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool # (/=) :: StreamProcessorSettings -> StreamProcessorSettings -> Bool #
Hashable StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings Methods hashWithSalt :: Int -> StreamProcessorSettings -> Int # hash :: StreamProcessorSettings -> Int #
type Rep StreamProcessorSettings Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettings type Rep StreamProcessorSettings = D1 ('MetaData "StreamProcessorSettings" "Amazonka.Rekognition.Types.StreamProcessorSettings" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedHome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConnectedHomeSettings)) :*: S1 ('MetaSel ('Just "faceSearch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceSearchSettings))))

newStreamProcessorSettings :: StreamProcessorSettings Source #

Create a value of StreamProcessorSettings with all optional fields omitted.

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

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

$sel:connectedHome:StreamProcessorSettings', streamProcessorSettings_connectedHome - Undocumented member.

$sel:faceSearch:StreamProcessorSettings', streamProcessorSettings_faceSearch - Face search settings to use on a streaming video.

streamProcessorSettings_connectedHome :: Lens' StreamProcessorSettings (Maybe ConnectedHomeSettings) Source #

Undocumented member.

streamProcessorSettings_faceSearch :: Lens' StreamProcessorSettings (Maybe FaceSearchSettings) Source #

Face search settings to use on a streaming video.

StreamProcessorSettingsForUpdate

data StreamProcessorSettingsForUpdate Source #

The stream processor settings that you want to update. ConnectedHome settings can be updated to detect different labels with a different minimum confidence.

See: newStreamProcessorSettingsForUpdate smart constructor.

Constructors

StreamProcessorSettingsForUpdate'
Fields connectedHomeForUpdate :: Maybe ConnectedHomeSettingsForUpdate The label detection settings you want to use for your stream processor.

Instances

Instances details

ToJSON StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods toJSON :: StreamProcessorSettingsForUpdate -> Value # toEncoding :: StreamProcessorSettingsForUpdate -> Encoding # toJSONList :: [StreamProcessorSettingsForUpdate] -> Value # toEncodingList :: [StreamProcessorSettingsForUpdate] -> Encoding #
Generic StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Associated Types type Rep StreamProcessorSettingsForUpdate :: Type -> Type # Methods from :: StreamProcessorSettingsForUpdate -> Rep StreamProcessorSettingsForUpdate x # to :: Rep StreamProcessorSettingsForUpdate x -> StreamProcessorSettingsForUpdate #
Read StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods readsPrec :: Int -> ReadS StreamProcessorSettingsForUpdate # readList :: ReadS [StreamProcessorSettingsForUpdate] # readPrec :: ReadPrec StreamProcessorSettingsForUpdate # readListPrec :: ReadPrec [StreamProcessorSettingsForUpdate] #
Show StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods showsPrec :: Int -> StreamProcessorSettingsForUpdate -> ShowS # show :: StreamProcessorSettingsForUpdate -> String # showList :: [StreamProcessorSettingsForUpdate] -> ShowS #
NFData StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods rnf :: StreamProcessorSettingsForUpdate -> () #
Eq StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods (==) :: StreamProcessorSettingsForUpdate -> StreamProcessorSettingsForUpdate -> Bool # (/=) :: StreamProcessorSettingsForUpdate -> StreamProcessorSettingsForUpdate -> Bool #
Hashable StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate Methods hashWithSalt :: Int -> StreamProcessorSettingsForUpdate -> Int # hash :: StreamProcessorSettingsForUpdate -> Int #
type Rep StreamProcessorSettingsForUpdate Source #
Instance details Defined in Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate type Rep StreamProcessorSettingsForUpdate = D1 ('MetaData "StreamProcessorSettingsForUpdate" "Amazonka.Rekognition.Types.StreamProcessorSettingsForUpdate" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "StreamProcessorSettingsForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedHomeForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConnectedHomeSettingsForUpdate))))

newStreamProcessorSettingsForUpdate :: StreamProcessorSettingsForUpdate Source #

Create a value of StreamProcessorSettingsForUpdate with all optional fields omitted.

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

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

$sel:connectedHomeForUpdate:StreamProcessorSettingsForUpdate', streamProcessorSettingsForUpdate_connectedHomeForUpdate - The label detection settings you want to use for your stream processor.

streamProcessorSettingsForUpdate_connectedHomeForUpdate :: Lens' StreamProcessorSettingsForUpdate (Maybe ConnectedHomeSettingsForUpdate) Source #

The label detection settings you want to use for your stream processor.

Summary

data Summary Source #

The S3 bucket that contains the training summary. The training summary includes aggregated evaluation metrics for the entire testing dataset and metrics for each individual label.

You get the training summary S3 bucket location by calling DescribeProjectVersions.

See: newSummary smart constructor.

Constructors

Summary'
Fields s3Object :: Maybe S3Object

Instances

Instances details

FromJSON Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods parseJSON :: Value -> Parser Summary # parseJSONList :: Value -> Parser [Summary] #
Generic Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Associated Types type Rep Summary :: Type -> Type # Methods from :: Summary -> Rep Summary x # to :: Rep Summary x -> Summary #
Read Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods readsPrec :: Int -> ReadS Summary # readList :: ReadS [Summary] # readPrec :: ReadPrec Summary # readListPrec :: ReadPrec [Summary] #
Show Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods showsPrec :: Int -> Summary -> ShowS # show :: Summary -> String # showList :: [Summary] -> ShowS #
NFData Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods rnf :: Summary -> () #
Eq Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods (==) :: Summary -> Summary -> Bool # (/=) :: Summary -> Summary -> Bool #
Hashable Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary Methods hashWithSalt :: Int -> Summary -> Int # hash :: Summary -> Int #
type Rep Summary Source #
Instance details Defined in Amazonka.Rekognition.Types.Summary type Rep Summary = D1 ('MetaData "Summary" "Amazonka.Rekognition.Types.Summary" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Summary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newSummary :: Summary Source #

Create a value of Summary with all optional fields omitted.

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

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

$sel:s3Object:Summary', summary_s3Object - Undocumented member.

summary_s3Object :: Lens' Summary (Maybe S3Object) Source #

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'
Fields confidence :: Maybe Double Level of confidence in the determination. value :: Maybe Bool Boolean value that indicates whether the face is wearing sunglasses or not.

Instances

Instances details

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

newSunglasses :: Sunglasses Source #

Create a value of Sunglasses with all optional fields omitted.

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

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

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

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

sunglasses_confidence :: Lens' Sunglasses (Maybe Double) Source #

Level of confidence in the determination.

sunglasses_value :: Lens' Sunglasses (Maybe Bool) Source #

Boolean value that indicates whether the face is wearing sunglasses or not.

TechnicalCueSegment

data TechnicalCueSegment Source #

Information about a technical cue segment. For more information, see SegmentDetection.

See: newTechnicalCueSegment smart constructor.

Constructors

TechnicalCueSegment'
Fields confidence :: Maybe Double The confidence that Amazon Rekognition Video has in the accuracy of the detected segment. type' :: Maybe TechnicalCueType The type of the technical cue.

Instances

Instances details

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

newTechnicalCueSegment :: TechnicalCueSegment Source #

Create a value of TechnicalCueSegment with all optional fields omitted.

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

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

$sel:confidence:TechnicalCueSegment', technicalCueSegment_confidence - The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

$sel:type':TechnicalCueSegment', technicalCueSegment_type - The type of the technical cue.

technicalCueSegment_confidence :: Lens' TechnicalCueSegment (Maybe Double) Source #

The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.

technicalCueSegment_type :: Lens' TechnicalCueSegment (Maybe TechnicalCueType) Source #

The type of the technical cue.

TestingData

data TestingData Source #

The dataset used for testing. Optionally, if AutoCreate is set, Amazon Rekognition Custom Labels uses the training dataset to create a test dataset with a temporary split of the training dataset.

See: newTestingData smart constructor.

Constructors

TestingData'
Fields assets :: Maybe [Asset] The assets used for testing. autoCreate :: Maybe Bool If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

Instances

Instances details

FromJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods parseJSON :: Value -> Parser TestingData # parseJSONList :: Value -> Parser [TestingData] #
ToJSON TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods toJSON :: TestingData -> Value # toEncoding :: TestingData -> Encoding # toJSONList :: [TestingData] -> Value # toEncodingList :: [TestingData] -> Encoding #
Generic TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Associated Types type Rep TestingData :: Type -> Type # Methods from :: TestingData -> Rep TestingData x # to :: Rep TestingData x -> TestingData #
Read TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods readsPrec :: Int -> ReadS TestingData # readList :: ReadS [TestingData] # readPrec :: ReadPrec TestingData # readListPrec :: ReadPrec [TestingData] #
Show TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods showsPrec :: Int -> TestingData -> ShowS # show :: TestingData -> String # showList :: [TestingData] -> ShowS #
NFData TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods rnf :: TestingData -> () #
Eq TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods (==) :: TestingData -> TestingData -> Bool # (/=) :: TestingData -> TestingData -> Bool #
Hashable TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData Methods hashWithSalt :: Int -> TestingData -> Int # hash :: TestingData -> Int #
type Rep TestingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingData type Rep TestingData = D1 ('MetaData "TestingData" "Amazonka.Rekognition.Types.TestingData" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TestingData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset])) :*: S1 ('MetaSel ('Just "autoCreate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newTestingData :: TestingData Source #

Create a value of TestingData with all optional fields omitted.

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

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

$sel:assets:TestingData', testingData_assets - The assets used for testing.

$sel:autoCreate:TestingData', testingData_autoCreate - If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

testingData_assets :: Lens' TestingData (Maybe [Asset]) Source #

The assets used for testing.

testingData_autoCreate :: Lens' TestingData (Maybe Bool) Source #

If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

TestingDataResult

data TestingDataResult Source #

Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.

See: newTestingDataResult smart constructor.

Constructors

TestingDataResult'

Fields

input :: Maybe TestingData
The testing dataset that was supplied for training.
output :: Maybe TestingData
The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.
validation :: Maybe ValidationData
The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.

Instances

Instances details

FromJSON TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods parseJSON :: Value -> Parser TestingDataResult # parseJSONList :: Value -> Parser [TestingDataResult] #
Generic TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Associated Types type Rep TestingDataResult :: Type -> Type # Methods from :: TestingDataResult -> Rep TestingDataResult x # to :: Rep TestingDataResult x -> TestingDataResult #
Read TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods readsPrec :: Int -> ReadS TestingDataResult # readList :: ReadS [TestingDataResult] # readPrec :: ReadPrec TestingDataResult # readListPrec :: ReadPrec [TestingDataResult] #
Show TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods showsPrec :: Int -> TestingDataResult -> ShowS # show :: TestingDataResult -> String # showList :: [TestingDataResult] -> ShowS #
NFData TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods rnf :: TestingDataResult -> () #
Eq TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods (==) :: TestingDataResult -> TestingDataResult -> Bool # (/=) :: TestingDataResult -> TestingDataResult -> Bool #
Hashable TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult Methods hashWithSalt :: Int -> TestingDataResult -> Int # hash :: TestingDataResult -> Int #
type Rep TestingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TestingDataResult type Rep TestingDataResult = D1 ('MetaData "TestingDataResult" "Amazonka.Rekognition.Types.TestingDataResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TestingDataResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :: S1 ('MetaSel ('Just "validation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ValidationData)))))

newTestingDataResult :: TestingDataResult Source #

Create a value of TestingDataResult with all optional fields omitted.

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

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

$sel:input:TestingDataResult', testingDataResult_input - The testing dataset that was supplied for training.

$sel:output:TestingDataResult', testingDataResult_output - The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

$sel:validation:TestingDataResult', testingDataResult_validation - The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.

testingDataResult_input :: Lens' TestingDataResult (Maybe TestingData) Source #

The testing dataset that was supplied for training.

testingDataResult_output :: Lens' TestingDataResult (Maybe TestingData) Source #

The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

testingDataResult_validation :: Lens' TestingDataResult (Maybe ValidationData) Source #

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'

Fields

confidence :: Maybe Double
The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.
detectedText :: Maybe Text
The word or line of text recognized by Amazon Rekognition.
geometry :: Maybe 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.
id :: Maybe Natural
The identifier for the detected text. The identifier is only unique for a single call to DetectText.
parentId :: Maybe Natural
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.
type' :: Maybe TextTypes
The type of text that was detected.

Instances

Instances details

FromJSON TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods parseJSON :: Value -> Parser TextDetection # parseJSONList :: Value -> Parser [TextDetection] #
Generic TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Associated Types type Rep TextDetection :: Type -> Type # Methods from :: TextDetection -> Rep TextDetection x # to :: Rep TextDetection x -> TextDetection #
Read TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods readsPrec :: Int -> ReadS TextDetection # readList :: ReadS [TextDetection] # readPrec :: ReadPrec TextDetection # readListPrec :: ReadPrec [TextDetection] #
Show TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods showsPrec :: Int -> TextDetection -> ShowS # show :: TextDetection -> String # showList :: [TextDetection] -> ShowS #
NFData TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods rnf :: TextDetection -> () #
Eq TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods (==) :: TextDetection -> TextDetection -> Bool # (/=) :: TextDetection -> TextDetection -> Bool #
Hashable TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection Methods hashWithSalt :: Int -> TextDetection -> Int # hash :: TextDetection -> Int #
type Rep TextDetection Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetection type Rep TextDetection = D1 ('MetaData "TextDetection" "Amazonka.Rekognition.Types.TextDetection" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TextDetection'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "detectedText") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)))) :: (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "parentId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TextTypes))))))

newTextDetection :: TextDetection Source #

Create a value of TextDetection with all optional fields omitted.

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

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

$sel:confidence:TextDetection', textDetection_confidence - The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.

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

$sel:geometry:TextDetection', textDetection_geometry - The location of the detected text on the image. Includes an axis aligned coarse bounding box surrounding the text and a finer grain polygon for more accurate spatial information.

$sel:id:TextDetection', textDetection_id - The identifier for the detected text. The identifier is only unique for a single call to DetectText.

$sel:parentId:TextDetection', textDetection_parentId - The Parent identifier for the detected text identified by the value of ID. If the type of detected text is LINE, the value of ParentId is Null.

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

textDetection_confidence :: Lens' TextDetection (Maybe Double) Source #

The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.

textDetection_detectedText :: Lens' TextDetection (Maybe Text) Source #

The word or line of text recognized by Amazon Rekognition.

textDetection_geometry :: Lens' TextDetection (Maybe Geometry) Source #

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.

textDetection_id :: Lens' TextDetection (Maybe Natural) Source #

The identifier for the detected text. The identifier is only unique for a single call to DetectText.

textDetection_parentId :: Lens' TextDetection (Maybe Natural) Source #

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.

textDetection_type :: Lens' TextDetection (Maybe TextTypes) Source #

The type of text that was detected.

TextDetectionResult

data TextDetectionResult Source #

Information about text detected in a video. Incudes the detected text, the time in milliseconds from the start of the video that the text was detected, and where it was detected on the screen.

See: newTextDetectionResult smart constructor.

Constructors

TextDetectionResult'
Fields textDetection :: Maybe TextDetection Details about text detected in a video. timestamp :: Maybe Integer The time, in milliseconds from the start of the video, that the text was detected. Note that `Timestamp` is not guaranteed to be accurate to the individual frame where the text first appears.

Instances

Instances details

FromJSON TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods parseJSON :: Value -> Parser TextDetectionResult # parseJSONList :: Value -> Parser [TextDetectionResult] #
Generic TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Associated Types type Rep TextDetectionResult :: Type -> Type # Methods from :: TextDetectionResult -> Rep TextDetectionResult x # to :: Rep TextDetectionResult x -> TextDetectionResult #
Read TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods readsPrec :: Int -> ReadS TextDetectionResult # readList :: ReadS [TextDetectionResult] # readPrec :: ReadPrec TextDetectionResult # readListPrec :: ReadPrec [TextDetectionResult] #
Show TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods showsPrec :: Int -> TextDetectionResult -> ShowS # show :: TextDetectionResult -> String # showList :: [TextDetectionResult] -> ShowS #
NFData TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods rnf :: TextDetectionResult -> () #
Eq TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods (==) :: TextDetectionResult -> TextDetectionResult -> Bool # (/=) :: TextDetectionResult -> TextDetectionResult -> Bool #
Hashable TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult Methods hashWithSalt :: Int -> TextDetectionResult -> Int # hash :: TextDetectionResult -> Int #
type Rep TextDetectionResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TextDetectionResult type Rep TextDetectionResult = D1 ('MetaData "TextDetectionResult" "Amazonka.Rekognition.Types.TextDetectionResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TextDetectionResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "textDetection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TextDetection)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))))

newTextDetectionResult :: TextDetectionResult Source #

Create a value of TextDetectionResult with all optional fields omitted.

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

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

$sel:textDetection:TextDetectionResult', textDetectionResult_textDetection - Details about text detected in a video.

$sel:timestamp:TextDetectionResult', textDetectionResult_timestamp - The time, in milliseconds from the start of the video, that the text was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the text first appears.

textDetectionResult_textDetection :: Lens' TextDetectionResult (Maybe TextDetection) Source #

Details about text detected in a video.

textDetectionResult_timestamp :: Lens' TextDetectionResult (Maybe Integer) Source #

The time, in milliseconds from the start of the video, that the text was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the text first appears.

TrainingData

data TrainingData Source #

The dataset used for training.

See: newTrainingData smart constructor.

Constructors

TrainingData'
Fields assets :: Maybe [Asset] A Sagemaker GroundTruth manifest file that contains the training images (assets).

Instances

Instances details

FromJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods parseJSON :: Value -> Parser TrainingData # parseJSONList :: Value -> Parser [TrainingData] #
ToJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods toJSON :: TrainingData -> Value # toEncoding :: TrainingData -> Encoding # toJSONList :: [TrainingData] -> Value # toEncodingList :: [TrainingData] -> Encoding #
Generic TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Associated Types type Rep TrainingData :: Type -> Type # Methods from :: TrainingData -> Rep TrainingData x # to :: Rep TrainingData x -> TrainingData #
Read TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods readsPrec :: Int -> ReadS TrainingData # readList :: ReadS [TrainingData] # readPrec :: ReadPrec TrainingData # readListPrec :: ReadPrec [TrainingData] #
Show TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods showsPrec :: Int -> TrainingData -> ShowS # show :: TrainingData -> String # showList :: [TrainingData] -> ShowS #
NFData TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods rnf :: TrainingData -> () #
Eq TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods (==) :: TrainingData -> TrainingData -> Bool # (/=) :: TrainingData -> TrainingData -> Bool #
Hashable TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods hashWithSalt :: Int -> TrainingData -> Int # hash :: TrainingData -> Int #
type Rep TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData type Rep TrainingData = D1 ('MetaData "TrainingData" "Amazonka.Rekognition.Types.TrainingData" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TrainingData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset]))))

newTrainingData :: TrainingData Source #

Create a value of TrainingData with all optional fields omitted.

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

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

$sel:assets:TrainingData', trainingData_assets - A Sagemaker GroundTruth manifest file that contains the training images (assets).

trainingData_assets :: Lens' TrainingData (Maybe [Asset]) Source #

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'
Fields input :: Maybe TrainingData The training assets that you supplied for training. output :: Maybe TrainingData The images (assets) that were actually trained by Amazon Rekognition Custom Labels. validation :: Maybe ValidationData The location of the data validation manifest. The data validation manifest is created for the training dataset during model training.

Instances

Instances details

FromJSON TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods parseJSON :: Value -> Parser TrainingDataResult # parseJSONList :: Value -> Parser [TrainingDataResult] #
Generic TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Associated Types type Rep TrainingDataResult :: Type -> Type # Methods from :: TrainingDataResult -> Rep TrainingDataResult x # to :: Rep TrainingDataResult x -> TrainingDataResult #
Read TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods readsPrec :: Int -> ReadS TrainingDataResult # readList :: ReadS [TrainingDataResult] # readPrec :: ReadPrec TrainingDataResult # readListPrec :: ReadPrec [TrainingDataResult] #
Show TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods showsPrec :: Int -> TrainingDataResult -> ShowS # show :: TrainingDataResult -> String # showList :: [TrainingDataResult] -> ShowS #
NFData TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods rnf :: TrainingDataResult -> () #
Eq TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods (==) :: TrainingDataResult -> TrainingDataResult -> Bool # (/=) :: TrainingDataResult -> TrainingDataResult -> Bool #
Hashable TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult Methods hashWithSalt :: Int -> TrainingDataResult -> Int # hash :: TrainingDataResult -> Int #
type Rep TrainingDataResult Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingDataResult type Rep TrainingDataResult = D1 ('MetaData "TrainingDataResult" "Amazonka.Rekognition.Types.TrainingDataResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TrainingDataResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingData)) :: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingData)) :: S1 ('MetaSel ('Just "validation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ValidationData)))))

newTrainingDataResult :: TrainingDataResult Source #

Create a value of TrainingDataResult with all optional fields omitted.

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

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

$sel:input:TrainingDataResult', trainingDataResult_input - The training assets that you supplied for training.

$sel:output:TrainingDataResult', trainingDataResult_output - The images (assets) that were actually trained by Amazon Rekognition Custom Labels.

$sel:validation:TrainingDataResult', trainingDataResult_validation - The location of the data validation manifest. The data validation manifest is created for the training dataset during model training.

trainingDataResult_input :: Lens' TrainingDataResult (Maybe TrainingData) Source #

The training assets that you supplied for training.

trainingDataResult_output :: Lens' TrainingDataResult (Maybe TrainingData) Source #

The images (assets) that were actually trained by Amazon Rekognition Custom Labels.

trainingDataResult_validation :: Lens' TrainingDataResult (Maybe ValidationData) Source #

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'

Fields

faceDetail :: Maybe FaceDetail
The structure that contains attributes of a face that IndexFacesdetected, but didn't index.
reasons :: Maybe [Reason]
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.

Instances

Instances details

FromJSON UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods parseJSON :: Value -> Parser UnindexedFace # parseJSONList :: Value -> Parser [UnindexedFace] #
Generic UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Associated Types type Rep UnindexedFace :: Type -> Type # Methods from :: UnindexedFace -> Rep UnindexedFace x # to :: Rep UnindexedFace x -> UnindexedFace #
Read UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods readsPrec :: Int -> ReadS UnindexedFace # readList :: ReadS [UnindexedFace] # readPrec :: ReadPrec UnindexedFace # readListPrec :: ReadPrec [UnindexedFace] #
Show UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods showsPrec :: Int -> UnindexedFace -> ShowS # show :: UnindexedFace -> String # showList :: [UnindexedFace] -> ShowS #
NFData UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods rnf :: UnindexedFace -> () #
Eq UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods (==) :: UnindexedFace -> UnindexedFace -> Bool # (/=) :: UnindexedFace -> UnindexedFace -> Bool #
Hashable UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace Methods hashWithSalt :: Int -> UnindexedFace -> Int # hash :: UnindexedFace -> Int #
type Rep UnindexedFace Source #
Instance details Defined in Amazonka.Rekognition.Types.UnindexedFace type Rep UnindexedFace = D1 ('MetaData "UnindexedFace" "Amazonka.Rekognition.Types.UnindexedFace" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "UnindexedFace'" 'PrefixI 'True) (S1 ('MetaSel ('Just "faceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FaceDetail)) :*: S1 ('MetaSel ('Just "reasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Reason]))))

newUnindexedFace :: UnindexedFace Source #

Create a value of UnindexedFace with all optional fields omitted.

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

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

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

$sel:reasons:UnindexedFace', unindexedFace_reasons - An array of reasons that specify why a face wasn't indexed.

EXTREME_POSE - The face is at a pose that can't be detected. For example, the head is turned too far away from the camera.
EXCEEDS_MAX_FACES - The number of faces detected is already higher than that specified by the MaxFaces input parameter for IndexFaces.
LOW_BRIGHTNESS - The image is too dark.
LOW_SHARPNESS - The image is too blurry.
LOW_CONFIDENCE - The face was detected with a low confidence.
SMALL_BOUNDING_BOX - The bounding box around the face is too small.

unindexedFace_faceDetail :: Lens' UnindexedFace (Maybe FaceDetail) Source #

The structure that contains attributes of a face that IndexFacesdetected, but didn't index.

unindexedFace_reasons :: Lens' UnindexedFace (Maybe [Reason]) Source #

An array of reasons that specify why a face wasn't indexed.

EXTREME_POSE - The face is at a pose that can't be detected. For example, the head is turned too far away from the camera.
EXCEEDS_MAX_FACES - The number of faces detected is already higher than that specified by the MaxFaces input parameter for IndexFaces.
LOW_BRIGHTNESS - The image is too dark.
LOW_SHARPNESS - The image is too blurry.
LOW_CONFIDENCE - The face was detected with a low confidence.
SMALL_BOUNDING_BOX - The bounding box around the face is too small.

ValidationData

data ValidationData Source #

Contains the Amazon S3 bucket location of the validation data for a model training job.

The validation data includes error information for individual JSON Lines in the dataset. For more information, see /Debugging a Failed Model Training/ in the Amazon Rekognition Custom Labels Developer Guide.

You get the ValidationData object for the training dataset (TrainingDataResult) and the test dataset (TestingDataResult) by calling DescribeProjectVersions.

The assets array contains a single Asset object. The GroundTruthManifest field of the Asset object contains the S3 bucket location of the validation data.

See: newValidationData smart constructor.

Constructors

ValidationData'
Fields assets :: Maybe [Asset] The assets that comprise the validation data.

Instances

Instances details

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

newValidationData :: ValidationData Source #

Create a value of ValidationData with all optional fields omitted.

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

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

$sel:assets:ValidationData', validationData_assets - The assets that comprise the validation data.

validationData_assets :: Lens' ValidationData (Maybe [Asset]) Source #

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'
Fields s3Object :: Maybe S3Object The Amazon S3 bucket name and file name for the video.

Instances

Instances details

ToJSON Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods toJSON :: Video -> Value # toEncoding :: Video -> Encoding # toJSONList :: [Video] -> Value # toEncodingList :: [Video] -> Encoding #
Generic Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Associated Types type Rep Video :: Type -> Type # Methods from :: Video -> Rep Video x # to :: Rep Video x -> Video #
Read Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods readsPrec :: Int -> ReadS Video # readList :: ReadS [Video] # readPrec :: ReadPrec Video # readListPrec :: ReadPrec [Video] #
Show Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods showsPrec :: Int -> Video -> ShowS # show :: Video -> String # showList :: [Video] -> ShowS #
NFData Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods rnf :: Video -> () #
Eq Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods (==) :: Video -> Video -> Bool # (/=) :: Video -> Video -> Bool #
Hashable Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video Methods hashWithSalt :: Int -> Video -> Int # hash :: Video -> Int #
type Rep Video Source #
Instance details Defined in Amazonka.Rekognition.Types.Video type Rep Video = D1 ('MetaData "Video" "Amazonka.Rekognition.Types.Video" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "Video'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Object))))

newVideo :: Video Source #

Create a value of Video with all optional fields omitted.

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

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

$sel:s3Object:Video', video_s3Object - The Amazon S3 bucket name and file name for the video.

video_s3Object :: Lens' Video (Maybe S3Object) Source #

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'

Fields

codec :: Maybe Text
Type of compression used in the analyzed video.
colorRange :: Maybe VideoColorRange
A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).
durationMillis :: Maybe Natural
Length of the video in milliseconds.
format :: Maybe Text
Format of the analyzed video. Possible values are MP4, MOV and AVI.
frameHeight :: Maybe Natural
Vertical pixel dimension of the video.
frameRate :: Maybe Double
Number of frames per second in the video.
frameWidth :: Maybe Natural
Horizontal pixel dimension of the video.

Instances

Instances details

FromJSON VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods parseJSON :: Value -> Parser VideoMetadata # parseJSONList :: Value -> Parser [VideoMetadata] #
Generic VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Associated Types type Rep VideoMetadata :: Type -> Type # Methods from :: VideoMetadata -> Rep VideoMetadata x # to :: Rep VideoMetadata x -> VideoMetadata #
Read VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods readsPrec :: Int -> ReadS VideoMetadata # readList :: ReadS [VideoMetadata] # readPrec :: ReadPrec VideoMetadata # readListPrec :: ReadPrec [VideoMetadata] #
Show VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods showsPrec :: Int -> VideoMetadata -> ShowS # show :: VideoMetadata -> String # showList :: [VideoMetadata] -> ShowS #
NFData VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods rnf :: VideoMetadata -> () #
Eq VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods (==) :: VideoMetadata -> VideoMetadata -> Bool # (/=) :: VideoMetadata -> VideoMetadata -> Bool #
Hashable VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata Methods hashWithSalt :: Int -> VideoMetadata -> Int # hash :: VideoMetadata -> Int #
type Rep VideoMetadata Source #
Instance details Defined in Amazonka.Rekognition.Types.VideoMetadata type Rep VideoMetadata = D1 ('MetaData "VideoMetadata" "Amazonka.Rekognition.Types.VideoMetadata" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "VideoMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "codec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "colorRange") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VideoColorRange)) :: S1 ('MetaSel ('Just "durationMillis") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "frameHeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "frameRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "frameWidth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newVideoMetadata :: VideoMetadata Source #

Create a value of VideoMetadata with all optional fields omitted.

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

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

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

$sel:colorRange:VideoMetadata', videoMetadata_colorRange - A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).

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

$sel:format:VideoMetadata', videoMetadata_format - Format of the analyzed video. Possible values are MP4, MOV and AVI.

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

$sel:frameRate:VideoMetadata', videoMetadata_frameRate - Number of frames per second in the video.

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

videoMetadata_codec :: Lens' VideoMetadata (Maybe Text) Source #

Type of compression used in the analyzed video.

videoMetadata_colorRange :: Lens' VideoMetadata (Maybe VideoColorRange) Source #

A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).

videoMetadata_durationMillis :: Lens' VideoMetadata (Maybe Natural) Source #

Length of the video in milliseconds.

videoMetadata_format :: Lens' VideoMetadata (Maybe Text) Source #

Format of the analyzed video. Possible values are MP4, MOV and AVI.

videoMetadata_frameHeight :: Lens' VideoMetadata (Maybe Natural) Source #

Vertical pixel dimension of the video.

videoMetadata_frameRate :: Lens' VideoMetadata (Maybe Double) Source #

Number of frames per second in the video.

videoMetadata_frameWidth :: Lens' VideoMetadata (Maybe Natural) Source #

Horizontal pixel dimension of the video.