Class FaceAnnotation (2.2.0) 

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

A face annotation object contains the results of face detection.

Attributes

NameDescription
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 Sequence[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 Sequence[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).