Stream Processor Args
data class StreamProcessorArgs(val boundingBoxRegionsOfInterest: Output<List<StreamProcessorBoundingBoxArgs>>? = null, val connectedHomeSettings: Output<StreamProcessorConnectedHomeSettingsArgs>? = null, val dataSharingPreference: Output<StreamProcessorDataSharingPreferenceArgs>? = null, val faceSearchSettings: Output<StreamProcessorFaceSearchSettingsArgs>? = null, val kinesisDataStream: Output<StreamProcessorKinesisDataStreamArgs>? = null, val kinesisVideoStream: Output<StreamProcessorKinesisVideoStreamArgs>? = null, val kmsKeyId: Output<String>? = null, val name: Output<String>? = null, val notificationChannel: Output<StreamProcessorNotificationChannelArgs>? = null, val polygonRegionsOfInterest: Output<List<List<StreamProcessorPointArgs>>>? = null, val roleArn: Output<String>? = null, val s3Destination: Output<StreamProcessorS3DestinationArgs>? = null, val tags: Output<List<StreamProcessorTagArgs>>? = null) : ConvertibleToJava<StreamProcessorArgs>
The AWS::Rekognition::StreamProcessor type is used to create an Amazon Rekognition StreamProcessor that you can use to analyze streaming videos.
Constructors
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fun StreamProcessorArgs(boundingBoxRegionsOfInterest: Output<List<StreamProcessorBoundingBoxArgs>>? = null, connectedHomeSettings: Output<StreamProcessorConnectedHomeSettingsArgs>? = null, dataSharingPreference: Output<StreamProcessorDataSharingPreferenceArgs>? = null, faceSearchSettings: Output<StreamProcessorFaceSearchSettingsArgs>? = null, kinesisDataStream: Output<StreamProcessorKinesisDataStreamArgs>? = null, kinesisVideoStream: Output<StreamProcessorKinesisVideoStreamArgs>? = null, kmsKeyId: Output<String>? = null, name: Output<String>? = null, notificationChannel: Output<StreamProcessorNotificationChannelArgs>? = null, polygonRegionsOfInterest: Output<List<List<StreamProcessorPointArgs>>>? = null, roleArn: Output<String>? = null, s3Destination: Output<StreamProcessorS3DestinationArgs>? = null, tags: Output<List<StreamProcessorTagArgs>>? = null)
Functions
Properties
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The BoundingBoxRegionsOfInterest specifies an array of bounding boxes of interest in the video frames to analyze, as part of connected home feature. If an object is partially in a region of interest, Rekognition will tag it as detected if the overlap of the object with the region-of-interest is greater than 20%.