DetectModerationLabelsFluentBuilder

Struct DetectModerationLabelsFluentBuilder 

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pub struct DetectModerationLabelsFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to DetectModerationLabels.

Detects unsafe content in a specified JPEG or PNG format image. Use DetectModerationLabels to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.

To filter images, use the labels returned by DetectModerationLabels to determine which types of content are appropriate.

For information about moderation labels, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.

You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.

You can specify an adapter to use when retrieving label predictions by providing a ProjectVersionArn to the ProjectVersion argument.

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impl DetectModerationLabelsFluentBuilder

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pub fn as_input(&self) -> &DetectModerationLabelsInputBuilder

Access the DetectModerationLabels as a reference.

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pub async fn send( self, ) -> Result<DetectModerationLabelsOutput, SdkError<DetectModerationLabelsError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<DetectModerationLabelsOutput, DetectModerationLabelsError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn image(self, input: Image) -> Self

The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

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pub fn set_image(self, input: Option<Image>) -> Self

The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

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pub fn get_image(&self) -> &Option<Image>

The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

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

Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.

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

Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.

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

Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.

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pub fn human_loop_config(self, input: HumanLoopConfig) -> Self

Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

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pub fn set_human_loop_config(self, input: Option<HumanLoopConfig>) -> Self

Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

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pub fn get_human_loop_config(&self) -> &Option<HumanLoopConfig>

Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

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

Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.

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

Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.

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

Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.

Trait Implementations§

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impl Clone for DetectModerationLabelsFluentBuilder

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fn clone(&self) -> DetectModerationLabelsFluentBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DetectModerationLabelsFluentBuilder

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

Formats the value using the given formatter. Read more

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