[−][src]Struct rusoto_rekognition::FaceDetail
Structure containing attributes of the face that the algorithm detected.
A FaceDetail
object contains either the default facial attributes or all facial attributes. The default attributes are BoundingBox
, Confidence
, Landmarks
, Pose
, and Quality
.
GetFaceDetection is the only Amazon Rekognition Video stored video operation that can return a FaceDetail
object with all attributes. To specify which attributes to return, use the FaceAttributes
input parameter for StartFaceDetection. The following Amazon Rekognition Video operations return only the default attributes. The corresponding Start operations don't have a FaceAttributes
input parameter.
-
GetCelebrityRecognition
-
GetPersonTracking
-
GetFaceSearch
The Amazon Rekognition Image DetectFaces and IndexFaces operations can return all facial attributes. To specify which attributes to return, use the Attributes
input parameter for DetectFaces
. For IndexFaces
, use the DetectAttributes
input parameter.
Fields
age_range: Option<AgeRange>
The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.
beard: Option<Beard>
Indicates whether or not the face has a beard, and the confidence level in the determination.
bounding_box: Option<BoundingBox>
Bounding box of the face. Default attribute.
confidence: Option<f32>
Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.
emotions: Option<Vec<Emotion>>
The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.
eyeglasses: Option<Eyeglasses>
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
eyes_open: Option<EyeOpen>
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
gender: Option<Gender>
The predicted gender of a detected face.
landmarks: Option<Vec<Landmark>>
Indicates the location of landmarks on the face. Default attribute.
mouth_open: Option<MouthOpen>
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
mustache: Option<Mustache>
Indicates whether or not the face has a mustache, and the confidence level in the determination.
pose: Option<Pose>
Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.
quality: Option<ImageQuality>
Identifies image brightness and sharpness. Default attribute.
smile: Option<Smile>
Indicates whether or not the face is smiling, and the confidence level in the determination.
sunglasses: Option<Sunglasses>
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
Trait Implementations
impl Clone for FaceDetail
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pub fn clone(&self) -> FaceDetail
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for FaceDetail
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impl Default for FaceDetail
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pub fn default() -> FaceDetail
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impl<'de> Deserialize<'de> for FaceDetail
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<FaceDetail> for FaceDetail
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pub fn eq(&self, other: &FaceDetail) -> bool
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pub fn ne(&self, other: &FaceDetail) -> bool
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impl StructuralPartialEq for FaceDetail
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Auto Trait Implementations
impl RefUnwindSafe for FaceDetail
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impl Send for FaceDetail
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impl Sync for FaceDetail
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impl Unpin for FaceDetail
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impl UnwindSafe for FaceDetail
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,