Struct DetectModerationLabelsInput 

#[non_exhaustive]
pub struct DetectModerationLabelsInput {
    pub image: Option<Image>,
    pub min_confidence: Option<f32>,
    pub human_loop_config: Option<HumanLoopConfig>,
    pub project_version: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

image: 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.

min_confidence: 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.

human_loop_config: Option<HumanLoopConfig>

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

project_version: Option<String>

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

Implementations

impl DetectModerationLabelsInput

pub fn 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.

pub fn 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.

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

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

pub fn project_version(&self) -> Option<&str>

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

impl DetectModerationLabelsInput

pub fn builder() -> DetectModerationLabelsInputBuilder

Creates a new builder-style object to manufacture DetectModerationLabelsInput.

Trait Implementations

impl Clone for DetectModerationLabelsInput

fn clone(&self) -> DetectModerationLabelsInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DetectModerationLabelsInput

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

Formats the value using the given formatter.

impl PartialEq for DetectModerationLabelsInput

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for DetectModerationLabelsInput