See: Description
Interface | Description |
---|---|
CfnCollectionProps |
Properties for defining a `CfnCollection`.
|
CfnProjectProps |
Properties for defining a `CfnProject`.
|
CfnStreamProcessor.BoundingBoxProperty |
Identifies the bounding box around the label, face, text, or personal protective equipment.
|
CfnStreamProcessor.ConnectedHomeSettingsProperty |
Connected home settings to use on a streaming video.
|
CfnStreamProcessor.DataSharingPreferenceProperty |
Allows you to opt in or opt out to share data with Rekognition to improve model performance.
|
CfnStreamProcessor.FaceSearchSettingsProperty |
The input parameters used to recognize faces in a streaming video analyzed by a Amazon Rekognition stream processor.
|
CfnStreamProcessor.KinesisDataStreamProperty |
Amazon Rekognition Video Stream Processor take as input a Kinesis video stream (Input) and a Kinesis data stream (Output).
|
CfnStreamProcessor.KinesisVideoStreamProperty |
The Kinesis video stream that provides the source of the streaming video for an Amazon Rekognition Video stream processor.
|
CfnStreamProcessor.NotificationChannelProperty |
The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the object detection results and completion status of a video analysis operation.
|
CfnStreamProcessor.S3DestinationProperty |
The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.
|
CfnStreamProcessorProps |
Properties for defining a `CfnStreamProcessor`.
|
---
All classes with the
Cfn
prefix in this module (CFN Resources) are always stable and safe to use.
This module is part of the AWS Cloud Development Kit project.
import software.amazon.awscdk.services.rekognition.*;
There are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:
There are no hand-written (L2) constructs for this service yet. However, you can still use the automatically generated L1 constructs, and use this service exactly as you would using CloudFormation directly.
For more information on the resources and properties available for this service, see the CloudFormation documentation for AWS::Rekognition.
(Read the CDK Contributing Guide and submit an RFC if you are interested in contributing to this construct library.)