Struct aws_sdk_rekognition::operation::start_label_detection::builders::StartLabelDetectionInputBuilder

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

A builder for StartLabelDetectionInput.

Implementations

impl StartLabelDetectionInputBuilder

pub fn video(self, input: Video) -> Self

The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.

This field is required.

pub fn set_video(self, input: Option<Video>) -> Self

The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.

pub fn get_video(&self) -> &Option<Video>

The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.

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

Idempotent token used to identify the start request. If you use the same token with multiple StartLabelDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

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

Idempotent token used to identify the start request. If you use the same token with multiple StartLabelDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

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

Idempotent token used to identify the start request. If you use the same token with multiple StartLabelDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

pub fn min_confidence(self, input: f32) -> Self

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels and bounding boxes (if detected) with confidence values greater than or equal to 50 percent.

pub fn set_min_confidence(self, input: Option<f32>) -> Self

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels and bounding boxes (if detected) with confidence values greater than or equal to 50 percent.

pub fn get_min_confidence(&self) -> &Option<f32>

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels and bounding boxes (if detected) with confidence values greater than or equal to 50 percent.

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

The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

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

The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

pub fn get_notification_channel(&self) -> &Option<NotificationChannel>

The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy.

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

An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

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

An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

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

An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

pub fn features(self, input: LabelDetectionFeatureName) -> Self

Appends an item to features.

To override the contents of this collection use set_features.

The features to return after video analysis. You can specify that GENERAL_LABELS are returned.

pub fn set_features(self, input: Option<Vec<LabelDetectionFeatureName>>) -> Self

The features to return after video analysis. You can specify that GENERAL_LABELS are returned.

pub fn get_features(&self) -> &Option<Vec<LabelDetectionFeatureName>>

The features to return after video analysis. You can specify that GENERAL_LABELS are returned.

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

The settings for a StartLabelDetection request.Contains the specified parameters for the label detection request of an asynchronous label analysis operation. Settings can include filters for GENERAL_LABELS.

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

The settings for a StartLabelDetection request.Contains the specified parameters for the label detection request of an asynchronous label analysis operation. Settings can include filters for GENERAL_LABELS.

pub fn get_settings(&self) -> &Option<LabelDetectionSettings>

The settings for a StartLabelDetection request.Contains the specified parameters for the label detection request of an asynchronous label analysis operation. Settings can include filters for GENERAL_LABELS.

pub fn build(self) -> Result<StartLabelDetectionInput, BuildError>

Consumes the builder and constructs a StartLabelDetectionInput.

impl StartLabelDetectionInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<StartLabelDetectionOutput, SdkError<StartLabelDetectionError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for StartLabelDetectionInputBuilder

fn clone(&self) -> StartLabelDetectionInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for StartLabelDetectionInputBuilder

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

Formats the value using the given formatter.

impl Default for StartLabelDetectionInputBuilder

fn default() -> StartLabelDetectionInputBuilder

Returns the “default value” for a type.

impl PartialEq for StartLabelDetectionInputBuilder

fn eq(&self, other: &StartLabelDetectionInputBuilder) -> 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 StartLabelDetectionInputBuilder