Struct aws_sdk_lookoutvision::operation::detect_anomalies::builders::DetectAnomaliesFluentBuilder

pub struct DetectAnomaliesFluentBuilder { /* private fields */ }

Fluent builder constructing a request to DetectAnomalies.

Detects anomalies in an image that you supply.

The response from DetectAnomalies includes a boolean prediction that the image contains one or more anomalies and a confidence value for the prediction. If the model is an image segmentation model, the response also includes segmentation information for each type of anomaly found in the image.

Before calling DetectAnomalies, you must first start your model with the StartModel operation. You are charged for the amount of time, in minutes, that a model runs and for the number of anomaly detection units that your model uses. If you are not using a model, use the StopModel operation to stop your model.

For more information, see Detecting anomalies in an image in the Amazon Lookout for Vision developer guide.

This operation requires permissions to perform the lookoutvision:DetectAnomalies operation.

Implementations

impl DetectAnomaliesFluentBuilder

pub fn as_input(&self) -> &DetectAnomaliesInputBuilder

Access the DetectAnomalies as a reference.

pub async fn send( self ) -> Result<DetectAnomaliesOutput, SdkError<DetectAnomaliesError, 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.

pub fn customize( self ) -> CustomizableOperation<DetectAnomaliesOutput, DetectAnomaliesError, Self>

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

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

The name of the project that contains the model version that you want to use.

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

The name of the project that contains the model version that you want to use.

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

The name of the project that contains the model version that you want to use.

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

The version of the model that you want to use.

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

The version of the model that you want to use.

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

The version of the model that you want to use.

pub fn body(self, input: ByteStream) -> Self

The unencrypted image bytes that you want to analyze.

pub fn set_body(self, input: Option<ByteStream>) -> Self

The unencrypted image bytes that you want to analyze.

pub fn get_body(&self) -> &Option<ByteStream>

The unencrypted image bytes that you want to analyze.

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

The type of the image passed in Body. Valid values are image/png (PNG format images) and image/jpeg (JPG format images).

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

The type of the image passed in Body. Valid values are image/png (PNG format images) and image/jpeg (JPG format images).

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

The type of the image passed in Body. Valid values are image/png (PNG format images) and image/jpeg (JPG format images).

Trait Implementations

impl Debug for DetectAnomaliesFluentBuilder

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

Formats the value using the given formatter.