IndexFacesOutputBuilder

Struct IndexFacesOutputBuilder 

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#[non_exhaustive]
pub struct IndexFacesOutputBuilder { /* private fields */ }
Expand description

A builder for IndexFacesOutput.

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impl IndexFacesOutputBuilder

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pub fn face_records(self, input: FaceRecord) -> Self

Appends an item to face_records.

To override the contents of this collection use set_face_records.

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.

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pub fn set_face_records(self, input: Option<Vec<FaceRecord>>) -> Self

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.

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pub fn get_face_records(&self) -> &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.

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pub fn orientation_correction(self, input: OrientationCorrection) -> Self

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.

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pub fn set_orientation_correction( self, input: Option<OrientationCorrection>, ) -> Self

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.

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pub fn get_orientation_correction(&self) -> &Option<OrientationCorrection>

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.

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pub fn face_model_version(self, input: impl Into<String>) -> Self

The version number of the face detection model that's associated with the input collection (CollectionId).

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pub fn set_face_model_version(self, input: Option<String>) -> Self

The version number of the face detection model that's associated with the input collection (CollectionId).

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pub fn get_face_model_version(&self) -> &Option<String>

The version number of the face detection model that's associated with the input collection (CollectionId).

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pub fn unindexed_faces(self, input: UnindexedFace) -> Self

Appends an item to unindexed_faces.

To override the contents of this collection use set_unindexed_faces.

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.

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pub fn set_unindexed_faces(self, input: Option<Vec<UnindexedFace>>) -> Self

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.

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pub fn get_unindexed_faces(&self) -> &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.

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pub fn build(self) -> IndexFacesOutput

Consumes the builder and constructs a IndexFacesOutput.

Trait Implementations§

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impl Clone for IndexFacesOutputBuilder

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fn clone(&self) -> IndexFacesOutputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for IndexFacesOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for IndexFacesOutputBuilder

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fn default() -> IndexFacesOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for IndexFacesOutputBuilder

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

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

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