#[non_exhaustive]pub struct CompareFacesInputBuilder { /* private fields */ }Expand description
A builder for CompareFacesInput.
Implementations§
Source§impl CompareFacesInputBuilder
impl CompareFacesInputBuilder
Sourcepub fn source_image(self, input: Image) -> Self
pub fn source_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.
Sourcepub fn set_source_image(self, input: Option<Image>) -> Self
pub fn set_source_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.
Sourcepub fn get_source_image(&self) -> &Option<Image>
pub fn get_source_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.
Sourcepub fn target_image(self, input: Image) -> Self
pub fn target_image(self, input: Image) -> Self
The target 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.
Sourcepub fn set_target_image(self, input: Option<Image>) -> Self
pub fn set_target_image(self, input: Option<Image>) -> Self
The target 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.
Sourcepub fn get_target_image(&self) -> &Option<Image>
pub fn get_target_image(&self) -> &Option<Image>
The target 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.
Sourcepub fn similarity_threshold(self, input: f32) -> Self
pub fn similarity_threshold(self, input: f32) -> Self
The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
Sourcepub fn set_similarity_threshold(self, input: Option<f32>) -> Self
pub fn set_similarity_threshold(self, input: Option<f32>) -> Self
The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
Sourcepub fn get_similarity_threshold(&self) -> &Option<f32>
pub fn get_similarity_threshold(&self) -> &Option<f32>
The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
Sourcepub fn quality_filter(self, input: QualityFilter) -> Self
pub fn quality_filter(self, input: QualityFilter) -> Self
A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
Sourcepub fn set_quality_filter(self, input: Option<QualityFilter>) -> Self
pub fn set_quality_filter(self, input: Option<QualityFilter>) -> Self
A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
Sourcepub fn get_quality_filter(&self) -> &Option<QualityFilter>
pub fn get_quality_filter(&self) -> &Option<QualityFilter>
A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
Sourcepub fn build(self) -> Result<CompareFacesInput, BuildError>
pub fn build(self) -> Result<CompareFacesInput, BuildError>
Consumes the builder and constructs a CompareFacesInput.
Source§impl CompareFacesInputBuilder
impl CompareFacesInputBuilder
Sourcepub async fn send_with(
self,
client: &Client,
) -> Result<CompareFacesOutput, SdkError<CompareFacesError, HttpResponse>>
pub async fn send_with( self, client: &Client, ) -> Result<CompareFacesOutput, SdkError<CompareFacesError, HttpResponse>>
Sends a request with this input using the given client.
Trait Implementations§
Source§impl Clone for CompareFacesInputBuilder
impl Clone for CompareFacesInputBuilder
Source§fn clone(&self) -> CompareFacesInputBuilder
fn clone(&self) -> CompareFacesInputBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for CompareFacesInputBuilder
impl Debug for CompareFacesInputBuilder
Source§impl Default for CompareFacesInputBuilder
impl Default for CompareFacesInputBuilder
Source§fn default() -> CompareFacesInputBuilder
fn default() -> CompareFacesInputBuilder
Source§impl PartialEq for CompareFacesInputBuilder
impl PartialEq for CompareFacesInputBuilder
impl StructuralPartialEq for CompareFacesInputBuilder
Auto Trait Implementations§
impl Freeze for CompareFacesInputBuilder
impl RefUnwindSafe for CompareFacesInputBuilder
impl Send for CompareFacesInputBuilder
impl Sync for CompareFacesInputBuilder
impl Unpin for CompareFacesInputBuilder
impl UnwindSafe for CompareFacesInputBuilder
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