pub struct DetectFacesFluentBuilder { /* private fields */ }Expand description
Fluent builder constructing a request to DetectFaces.
Detects faces within an image that is provided as input.
DetectFaces detects the 100 largest faces in the image. For each face detected, the operation returns face details. These details include a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), pose, presence of facial occlusion, and so on.
The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm might not detect the faces or might detect faces with lower confidence.
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.
This is a stateless API operation. That is, the operation does not persist any data.
This operation requires permissions to perform the rekognition:DetectFaces action.
Implementations§
Source§impl DetectFacesFluentBuilder
impl DetectFacesFluentBuilder
Sourcepub fn as_input(&self) -> &DetectFacesInputBuilder
pub fn as_input(&self) -> &DetectFacesInputBuilder
Access the DetectFaces as a reference.
Sourcepub async fn send(
self,
) -> Result<DetectFacesOutput, SdkError<DetectFacesError, HttpResponse>>
pub async fn send( self, ) -> Result<DetectFacesOutput, SdkError<DetectFacesError, 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.
Sourcepub fn customize(
self,
) -> CustomizableOperation<DetectFacesOutput, DetectFacesError, Self>
pub fn customize( self, ) -> CustomizableOperation<DetectFacesOutput, DetectFacesError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
Sourcepub fn image(self, input: Image) -> Self
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.
Sourcepub fn set_image(self, input: Option<Image>) -> Self
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.
Sourcepub fn get_image(&self) -> &Option<Image>
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.
Sourcepub fn attributes(self, input: Attribute) -> Self
pub fn attributes(self, input: Attribute) -> Self
Appends an item to Attributes.
To override the contents of this collection use set_attributes.
An array of facial attributes you want to be returned. A DEFAULT subset of facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks - will always be returned. You can request for specific facial attributes (in addition to the default list) - by using \["DEFAULT", "FACE_OCCLUDED"\] or just \["FACE_OCCLUDED"\]. You can request for all facial attributes by using \["ALL"\]. Requesting more attributes may increase response time.
If you provide both, \["ALL", "DEFAULT"\], the service uses a logical "AND" operator to determine which attributes to return (in this case, all attributes).
Note that while the FaceOccluded and EyeDirection attributes are supported when using DetectFaces, they aren't supported when analyzing videos with StartFaceDetection and GetFaceDetection.
Sourcepub fn set_attributes(self, input: Option<Vec<Attribute>>) -> Self
pub fn set_attributes(self, input: Option<Vec<Attribute>>) -> Self
An array of facial attributes you want to be returned. A DEFAULT subset of facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks - will always be returned. You can request for specific facial attributes (in addition to the default list) - by using \["DEFAULT", "FACE_OCCLUDED"\] or just \["FACE_OCCLUDED"\]. You can request for all facial attributes by using \["ALL"\]. Requesting more attributes may increase response time.
If you provide both, \["ALL", "DEFAULT"\], the service uses a logical "AND" operator to determine which attributes to return (in this case, all attributes).
Note that while the FaceOccluded and EyeDirection attributes are supported when using DetectFaces, they aren't supported when analyzing videos with StartFaceDetection and GetFaceDetection.
Sourcepub fn get_attributes(&self) -> &Option<Vec<Attribute>>
pub fn get_attributes(&self) -> &Option<Vec<Attribute>>
An array of facial attributes you want to be returned. A DEFAULT subset of facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks - will always be returned. You can request for specific facial attributes (in addition to the default list) - by using \["DEFAULT", "FACE_OCCLUDED"\] or just \["FACE_OCCLUDED"\]. You can request for all facial attributes by using \["ALL"\]. Requesting more attributes may increase response time.
If you provide both, \["ALL", "DEFAULT"\], the service uses a logical "AND" operator to determine which attributes to return (in this case, all attributes).
Note that while the FaceOccluded and EyeDirection attributes are supported when using DetectFaces, they aren't supported when analyzing videos with StartFaceDetection and GetFaceDetection.
Trait Implementations§
Source§impl Clone for DetectFacesFluentBuilder
impl Clone for DetectFacesFluentBuilder
Source§fn clone(&self) -> DetectFacesFluentBuilder
fn clone(&self) -> DetectFacesFluentBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreAuto Trait Implementations§
impl Freeze for DetectFacesFluentBuilder
impl !RefUnwindSafe for DetectFacesFluentBuilder
impl Send for DetectFacesFluentBuilder
impl Sync for DetectFacesFluentBuilder
impl Unpin for DetectFacesFluentBuilder
impl !UnwindSafe for DetectFacesFluentBuilder
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