Class FaceAnnotation (3.4.2)

Version 3.4.2

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FaceAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A face annotation object contains the results of face detection.

Attributes
Name	Description
bounding_poly	google.cloud.vision_v1p4beta1.types.BoundingPoly The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to "frame" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the BoundingPoly (the polygon will be unbounded) if only a partial face appears in the image to be annotated.
fd_bounding_poly	google.cloud.vision_v1p4beta1.types.BoundingPoly The fd_bounding_poly bounding polygon is tighter than the boundingPoly, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the "amount of skin" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.
landmarks	MutableSequence[google.cloud.vision_v1p4beta1.types.FaceAnnotation.Landmark] Detected face landmarks.
roll_angle	float Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].
pan_angle	float Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].
tilt_angle	float Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].
detection_confidence	float Detection confidence. Range [0, 1].
landmarking_confidence	float Face landmarking confidence. Range [0, 1].
joy_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Joy likelihood.
sorrow_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Sorrow likelihood.
anger_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Anger likelihood.
surprise_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Surprise likelihood.
under_exposed_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Under-exposed likelihood.
blurred_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Blurred likelihood.
headwear_likelihood	google.cloud.vision_v1p4beta1.types.Likelihood Headwear likelihood.
recognition_result	MutableSequence[google.cloud.vision_v1p4beta1.types.FaceRecognitionResult] Additional recognition information. Only computed if image_context.face_recognition_params is provided, **and** a match is found to a Celebrity in the input CelebritySet. This field is sorted in order of decreasing confidence values.

Classes

Landmark

Landmark(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A face-specific landmark (for example, a face feature).