Cloud Vision V1 API - Class Google::Cloud::Vision::V1::FaceAnnotation (v0.13.0)

Reference documentation and code samples for the Cloud Vision V1 API class Google::Cloud::Vision::V1::FaceAnnotation.

A face annotation object contains the results of face detection.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#anger_likelihood

def anger_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#anger_likelihood=

def anger_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#blurred_likelihood

def blurred_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#blurred_likelihood=

def blurred_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#bounding_poly

def bounding_poly() -> ::Google::Cloud::Vision::V1::BoundingPoly
Returns
  • (::Google::Cloud::Vision::V1::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.

#bounding_poly=

def bounding_poly=(value) -> ::Google::Cloud::Vision::V1::BoundingPoly
Parameter
  • value (::Google::Cloud::Vision::V1::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.
Returns
  • (::Google::Cloud::Vision::V1::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.

#detection_confidence

def detection_confidence() -> ::Float
Returns
  • (::Float) — Detection confidence. Range [0, 1].

#detection_confidence=

def detection_confidence=(value) -> ::Float
Parameter
  • value (::Float) — Detection confidence. Range [0, 1].
Returns
  • (::Float) — Detection confidence. Range [0, 1].

#fd_bounding_poly

def fd_bounding_poly() -> ::Google::Cloud::Vision::V1::BoundingPoly
Returns
  • (::Google::Cloud::Vision::V1::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.

#fd_bounding_poly=

def fd_bounding_poly=(value) -> ::Google::Cloud::Vision::V1::BoundingPoly
Parameter
  • value (::Google::Cloud::Vision::V1::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.
Returns
  • (::Google::Cloud::Vision::V1::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.

#headwear_likelihood

def headwear_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#headwear_likelihood=

def headwear_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#joy_likelihood

def joy_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#joy_likelihood=

def joy_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#landmarking_confidence

def landmarking_confidence() -> ::Float
Returns
  • (::Float) — Face landmarking confidence. Range [0, 1].

#landmarking_confidence=

def landmarking_confidence=(value) -> ::Float
Parameter
  • value (::Float) — Face landmarking confidence. Range [0, 1].
Returns
  • (::Float) — Face landmarking confidence. Range [0, 1].

#landmarks

def landmarks() -> ::Array<::Google::Cloud::Vision::V1::FaceAnnotation::Landmark>
Returns

#landmarks=

def landmarks=(value) -> ::Array<::Google::Cloud::Vision::V1::FaceAnnotation::Landmark>
Parameter
Returns

#pan_angle

def pan_angle() -> ::Float
Returns
  • (::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].

#pan_angle=

def pan_angle=(value) -> ::Float
Parameter
  • value (::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].
Returns
  • (::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].

#roll_angle

def roll_angle() -> ::Float
Returns
  • (::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].

#roll_angle=

def roll_angle=(value) -> ::Float
Parameter
  • value (::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].
Returns
  • (::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].

#sorrow_likelihood

def sorrow_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#sorrow_likelihood=

def sorrow_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#surprise_likelihood

def surprise_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#surprise_likelihood=

def surprise_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns

#tilt_angle

def tilt_angle() -> ::Float
Returns
  • (::Float) — Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

#tilt_angle=

def tilt_angle=(value) -> ::Float
Parameter
  • value (::Float) — Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].
Returns
  • (::Float) — Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].

#under_exposed_likelihood

def under_exposed_likelihood() -> ::Google::Cloud::Vision::V1::Likelihood
Returns

#under_exposed_likelihood=

def under_exposed_likelihood=(value) -> ::Google::Cloud::Vision::V1::Likelihood
Parameter
Returns