Struct aws_sdk_rekognition::output::DescribeStreamProcessorOutput

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#[non_exhaustive]
pub struct DescribeStreamProcessorOutput { /* private fields */ }

Implementations

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impl DescribeStreamProcessorOutput

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pub fn name(&self) -> Option<&str>

Name of the stream processor.

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pub fn stream_processor_arn(&self) -> Option<&str>

ARN of the stream processor.

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pub fn status(&self) -> Option<&StreamProcessorStatus>

Current status of the stream processor.

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pub fn status_message(&self) -> Option<&str>

Detailed status message about the stream processor.

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pub fn creation_timestamp(&self) -> Option<&DateTime>

Date and time the stream processor was created

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pub fn last_update_timestamp(&self) -> Option<&DateTime>

The time, in Unix format, the stream processor was last updated. For example, when the stream processor moves from a running state to a failed state, or when the user starts or stops the stream processor.

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pub fn input(&self) -> Option<&StreamProcessorInput>

Kinesis video stream that provides the source streaming video.

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pub fn output(&self) -> Option<&StreamProcessorOutput>

Kinesis data stream to which Amazon Rekognition Video puts the analysis results.

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pub fn role_arn(&self) -> Option<&str>

ARN of the IAM role that allows access to the stream processor.

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pub fn settings(&self) -> Option<&StreamProcessorSettings>

Input parameters used in a streaming video analyzed by a stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.

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pub fn notification_channel(
&self
) -> Option<&StreamProcessorNotificationChannel>

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.

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pub fn kms_key_id(&self) -> Option<&str>

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

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pub fn regions_of_interest(&self) -> Option<&[RegionOfInterest]>

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

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pub fn data_sharing_preference(
&self
) -> Option<&StreamProcessorDataSharingPreference>

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

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