Struct aws_sdk_rekognition::operation::describe_stream_processor::builders::DescribeStreamProcessorOutputBuilder

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

A builder for DescribeStreamProcessorOutput.

Implementations

impl DescribeStreamProcessorOutputBuilder

pub fn name(self, input: impl Into<String>) -> Self

Name of the stream processor.

pub fn set_name(self, input: Option<String>) -> Self

Name of the stream processor.

pub fn get_name(&self) -> &Option<String>

Name of the stream processor.

pub fn stream_processor_arn(self, input: impl Into<String>) -> Self

ARN of the stream processor.

pub fn set_stream_processor_arn(self, input: Option<String>) -> Self

ARN of the stream processor.

pub fn get_stream_processor_arn(&self) -> &Option<String>

ARN of the stream processor.

pub fn status(self, input: StreamProcessorStatus) -> Self

Current status of the stream processor.

pub fn set_status(self, input: Option<StreamProcessorStatus>) -> Self

Current status of the stream processor.

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

Current status of the stream processor.

pub fn status_message(self, input: impl Into<String>) -> Self

Detailed status message about the stream processor.

pub fn set_status_message(self, input: Option<String>) -> Self

Detailed status message about the stream processor.

pub fn get_status_message(&self) -> &Option<String>

Detailed status message about the stream processor.

pub fn creation_timestamp(self, input: DateTime) -> Self

Date and time the stream processor was created

pub fn set_creation_timestamp(self, input: Option<DateTime>) -> Self

Date and time the stream processor was created

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

Date and time the stream processor was created

pub fn last_update_timestamp(self, input: DateTime) -> Self

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.

pub fn set_last_update_timestamp(self, input: Option<DateTime>) -> Self

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.

pub fn get_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.

pub fn input(self, input: StreamProcessorInput) -> Self

Kinesis video stream that provides the source streaming video.

pub fn set_input(self, input: Option<StreamProcessorInput>) -> Self

Kinesis video stream that provides the source streaming video.

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

Kinesis video stream that provides the source streaming video.

pub fn output(self, input: StreamProcessorOutput) -> Self

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

pub fn set_output(self, input: Option<StreamProcessorOutput>) -> Self

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

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

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

pub fn role_arn(self, input: impl Into<String>) -> Self

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

pub fn set_role_arn(self, input: Option<String>) -> Self

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

pub fn get_role_arn(&self) -> &Option<String>

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

pub fn settings(self, input: StreamProcessorSettings) -> Self

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.

pub fn set_settings(self, input: Option<StreamProcessorSettings>) -> Self

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.

pub fn get_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.

pub fn notification_channel( self, input: StreamProcessorNotificationChannel ) -> Self

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.

pub fn set_notification_channel( self, input: Option<StreamProcessorNotificationChannel> ) -> Self

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.

pub fn get_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.

pub fn kms_key_id(self, input: impl Into<String>) -> Self

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

pub fn set_kms_key_id(self, input: Option<String>) -> Self

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

pub fn get_kms_key_id(&self) -> &Option<String>

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

pub fn regions_of_interest(self, input: RegionOfInterest) -> Self

Appends an item to regions_of_interest.

To override the contents of this collection use set_regions_of_interest.

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

pub fn set_regions_of_interest( self, input: Option<Vec<RegionOfInterest>> ) -> Self

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

pub fn get_regions_of_interest(&self) -> &Option<Vec<RegionOfInterest>>

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

pub fn data_sharing_preference( self, input: StreamProcessorDataSharingPreference ) -> Self

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.

pub fn set_data_sharing_preference( self, input: Option<StreamProcessorDataSharingPreference> ) -> Self

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.

pub fn get_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.

pub fn build(self) -> DescribeStreamProcessorOutput

Consumes the builder and constructs a DescribeStreamProcessorOutput.

Trait Implementations

impl Clone for DescribeStreamProcessorOutputBuilder

fn clone(&self) -> DescribeStreamProcessorOutputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DescribeStreamProcessorOutputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DescribeStreamProcessorOutputBuilder

fn default() -> DescribeStreamProcessorOutputBuilder

Returns the “default value” for a type.

impl PartialEq for DescribeStreamProcessorOutputBuilder

fn eq(&self, other: &DescribeStreamProcessorOutputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DescribeStreamProcessorOutputBuilder