#[non_exhaustive]pub struct StartLabelDetectionInputBuilder { /* private fields */ }
Expand description
A builder for StartLabelDetectionInput
.
Implementations§
Source§impl StartLabelDetectionInputBuilder
impl StartLabelDetectionInputBuilder
Sourcepub fn video(self, input: Video) -> Self
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.Sourcepub fn set_video(self, input: Option<Video>) -> Self
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.
Sourcepub fn get_video(&self) -> &Option<Video>
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.
Sourcepub fn client_request_token(self, input: impl Into<String>) -> Self
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.
Sourcepub fn set_client_request_token(self, input: Option<String>) -> Self
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.
Sourcepub fn get_client_request_token(&self) -> &Option<String>
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.
Sourcepub fn min_confidence(self, input: f32) -> Self
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.
Sourcepub fn set_min_confidence(self, input: Option<f32>) -> Self
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.
Sourcepub fn get_min_confidence(&self) -> &Option<f32>
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.
Sourcepub fn notification_channel(self, input: NotificationChannel) -> Self
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.
Sourcepub fn set_notification_channel(
self,
input: Option<NotificationChannel>,
) -> Self
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.
Sourcepub fn get_notification_channel(&self) -> &Option<NotificationChannel>
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.
Sourcepub fn job_tag(self, input: impl Into<String>) -> Self
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.
Sourcepub fn set_job_tag(self, input: Option<String>) -> Self
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.
Sourcepub fn get_job_tag(&self) -> &Option<String>
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.
Sourcepub fn features(self, input: LabelDetectionFeatureName) -> Self
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.
Sourcepub fn set_features(self, input: Option<Vec<LabelDetectionFeatureName>>) -> Self
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.
Sourcepub fn get_features(&self) -> &Option<Vec<LabelDetectionFeatureName>>
pub fn get_features(&self) -> &Option<Vec<LabelDetectionFeatureName>>
The features to return after video analysis. You can specify that GENERAL_LABELS are returned.
Sourcepub fn settings(self, input: LabelDetectionSettings) -> Self
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.
Sourcepub fn set_settings(self, input: Option<LabelDetectionSettings>) -> Self
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.
Sourcepub fn get_settings(&self) -> &Option<LabelDetectionSettings>
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.
Sourcepub fn build(self) -> Result<StartLabelDetectionInput, BuildError>
pub fn build(self) -> Result<StartLabelDetectionInput, BuildError>
Consumes the builder and constructs a StartLabelDetectionInput
.
Source§impl StartLabelDetectionInputBuilder
impl StartLabelDetectionInputBuilder
Sourcepub async fn send_with(
self,
client: &Client,
) -> Result<StartLabelDetectionOutput, SdkError<StartLabelDetectionError, HttpResponse>>
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§
Source§impl Clone for StartLabelDetectionInputBuilder
impl Clone for StartLabelDetectionInputBuilder
Source§fn clone(&self) -> StartLabelDetectionInputBuilder
fn clone(&self) -> StartLabelDetectionInputBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Default for StartLabelDetectionInputBuilder
impl Default for StartLabelDetectionInputBuilder
Source§fn default() -> StartLabelDetectionInputBuilder
fn default() -> StartLabelDetectionInputBuilder
Source§impl PartialEq for StartLabelDetectionInputBuilder
impl PartialEq for StartLabelDetectionInputBuilder
Source§fn eq(&self, other: &StartLabelDetectionInputBuilder) -> bool
fn eq(&self, other: &StartLabelDetectionInputBuilder) -> bool
self
and other
values to be equal, and is used by ==
.impl StructuralPartialEq for StartLabelDetectionInputBuilder
Auto Trait Implementations§
impl Freeze for StartLabelDetectionInputBuilder
impl RefUnwindSafe for StartLabelDetectionInputBuilder
impl Send for StartLabelDetectionInputBuilder
impl Sync for StartLabelDetectionInputBuilder
impl Unpin for StartLabelDetectionInputBuilder
impl UnwindSafe for StartLabelDetectionInputBuilder
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