[−][src]Struct rusoto_rekognition::IndexFacesResponse
Fields
face_model_version: Option<String>
The version number of the face detection model that's associated with the input collection (CollectionId
).
face_records: Option<Vec<FaceRecord>>
An array of faces detected and added to the collection. For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
orientation_correction: Option<String>
If your collection is associated with a face detection model that's later than version 3.0, the value of OrientationCorrection
is always null and no orientation information is returned.
If your collection is associated with a face detection model that's version 3.0 or earlier, the following applies:
-
If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction - the bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata. The value of
OrientationCorrection
is null. -
If the image doesn't contain orientation information in its Exif metadata, Amazon Rekognition returns an estimated orientation (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t perform image correction for images. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
Bounding box information is returned in the FaceRecords
array. You can get the version of the face detection model by calling DescribeCollection.
unindexed_faces: Option<Vec<UnindexedFace>>
An array of faces that were detected in the image but weren't indexed. They weren't indexed because the quality filter identified them as low quality, or the MaxFaces
request parameter filtered them out. To use the quality filter, you specify the QualityFilter
request parameter.
Trait Implementations
impl Clone for IndexFacesResponse
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pub fn clone(&self) -> IndexFacesResponse
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for IndexFacesResponse
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impl Default for IndexFacesResponse
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pub fn default() -> IndexFacesResponse
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impl<'de> Deserialize<'de> for IndexFacesResponse
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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<IndexFacesResponse> for IndexFacesResponse
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pub fn eq(&self, other: &IndexFacesResponse) -> bool
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pub fn ne(&self, other: &IndexFacesResponse) -> bool
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impl StructuralPartialEq for IndexFacesResponse
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Auto Trait Implementations
impl RefUnwindSafe for IndexFacesResponse
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impl Send for IndexFacesResponse
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impl Sync for IndexFacesResponse
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impl Unpin for IndexFacesResponse
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impl UnwindSafe for IndexFacesResponse
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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>,