com.google.cloud.vision.v1

Interface FaceAnnotationOrBuilder

All Superinterfaces:

MessageLiteOrBuilder, MessageOrBuilder

All Known Implementing Classes:

FaceAnnotation, FaceAnnotation.Builder

public interface FaceAnnotationOrBuilder
extends MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
Likelihood	getAngerLikelihood() Anger likelihood.
int	getAngerLikelihoodValue() Anger likelihood.
Likelihood	getBlurredLikelihood() Blurred likelihood.
int	getBlurredLikelihoodValue() Blurred likelihood.
BoundingPoly	getBoundingPoly() The bounding polygon around the face.
BoundingPolyOrBuilder	getBoundingPolyOrBuilder() The bounding polygon around the face.
float	getDetectionConfidence() Detection confidence.
BoundingPoly	getFdBoundingPoly() The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face.
BoundingPolyOrBuilder	getFdBoundingPolyOrBuilder() The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face.
Likelihood	getHeadwearLikelihood() Headwear likelihood.
int	getHeadwearLikelihoodValue() Headwear likelihood.
Likelihood	getJoyLikelihood() Joy likelihood.
int	getJoyLikelihoodValue() Joy likelihood.
float	getLandmarkingConfidence() Face landmarking confidence.
FaceAnnotation.Landmark	getLandmarks(int index) Detected face landmarks.
int	getLandmarksCount() Detected face landmarks.
java.util.List<FaceAnnotation.Landmark>	getLandmarksList() Detected face landmarks.
FaceAnnotation.LandmarkOrBuilder	getLandmarksOrBuilder(int index) Detected face landmarks.
java.util.List<? extends FaceAnnotation.LandmarkOrBuilder>	getLandmarksOrBuilderList() Detected face landmarks.
float	getPanAngle() Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image.
float	getRollAngle() 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.
Likelihood	getSorrowLikelihood() Sorrow likelihood.
int	getSorrowLikelihoodValue() Sorrow likelihood.
Likelihood	getSurpriseLikelihood() Surprise likelihood.
int	getSurpriseLikelihoodValue() Surprise likelihood.
float	getTiltAngle() Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane.
Likelihood	getUnderExposedLikelihood() Under-exposed likelihood.
int	getUnderExposedLikelihoodValue() Under-exposed likelihood.
boolean	hasBoundingPoly() The bounding polygon around the face.
boolean	hasFdBoundingPoly() The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasBoundingPoly

boolean hasBoundingPoly()

 The bounding polygon around the face. The coordinates of the bounding box
 are in the original image's scale, as returned in `ImageParams`.
 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.
 

.google.cloud.vision.v1.BoundingPoly bounding_poly = 1;

getBoundingPoly

BoundingPoly getBoundingPoly()

 The bounding polygon around the face. The coordinates of the bounding box
 are in the original image's scale, as returned in `ImageParams`.
 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.
 

.google.cloud.vision.v1.BoundingPoly bounding_poly = 1;

getBoundingPolyOrBuilder

BoundingPolyOrBuilder getBoundingPolyOrBuilder()

 The bounding polygon around the face. The coordinates of the bounding box
 are in the original image's scale, as returned in `ImageParams`.
 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.
 

.google.cloud.vision.v1.BoundingPoly bounding_poly = 1;

hasFdBoundingPoly

boolean hasFdBoundingPoly()

 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 <code>fd</code> (face detection) prefix.
 

.google.cloud.vision.v1.BoundingPoly fd_bounding_poly = 2;

getFdBoundingPoly

BoundingPoly getFdBoundingPoly()

 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 <code>fd</code> (face detection) prefix.
 

.google.cloud.vision.v1.BoundingPoly fd_bounding_poly = 2;

getFdBoundingPolyOrBuilder

BoundingPolyOrBuilder getFdBoundingPolyOrBuilder()

 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 <code>fd</code> (face detection) prefix.
 

.google.cloud.vision.v1.BoundingPoly fd_bounding_poly = 2;

getLandmarksList

java.util.List<FaceAnnotation.Landmark> getLandmarksList()

 Detected face landmarks.
 

repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;

getLandmarks

FaceAnnotation.Landmark getLandmarks(int index)

 Detected face landmarks.
 

repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;

getLandmarksCount

int getLandmarksCount()

 Detected face landmarks.
 

repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;

getLandmarksOrBuilderList

java.util.List<? extends FaceAnnotation.LandmarkOrBuilder> getLandmarksOrBuilderList()

 Detected face landmarks.
 

repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;

getLandmarksOrBuilder

FaceAnnotation.LandmarkOrBuilder getLandmarksOrBuilder(int index)

 Detected face landmarks.
 

repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;

getRollAngle

float getRollAngle()

 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].
 

float roll_angle = 4;

getPanAngle

float getPanAngle()

 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].
 

float pan_angle = 5;

getTiltAngle

float getTiltAngle()

 Pitch angle, which indicates the upwards/downwards angle that the face is
 pointing relative to the image's horizontal plane. Range [-180,180].
 

float tilt_angle = 6;

getDetectionConfidence

float getDetectionConfidence()

 Detection confidence. Range [0, 1].
 

float detection_confidence = 7;

getLandmarkingConfidence

float getLandmarkingConfidence()

 Face landmarking confidence. Range [0, 1].
 

float landmarking_confidence = 8;

getJoyLikelihoodValue

int getJoyLikelihoodValue()

 Joy likelihood.
 

.google.cloud.vision.v1.Likelihood joy_likelihood = 9;

getJoyLikelihood

Likelihood getJoyLikelihood()

 Joy likelihood.
 

.google.cloud.vision.v1.Likelihood joy_likelihood = 9;

getSorrowLikelihoodValue

int getSorrowLikelihoodValue()

 Sorrow likelihood.
 

.google.cloud.vision.v1.Likelihood sorrow_likelihood = 10;

getSorrowLikelihood

Likelihood getSorrowLikelihood()

 Sorrow likelihood.
 

.google.cloud.vision.v1.Likelihood sorrow_likelihood = 10;

getAngerLikelihoodValue

int getAngerLikelihoodValue()

 Anger likelihood.
 

.google.cloud.vision.v1.Likelihood anger_likelihood = 11;

getAngerLikelihood

Likelihood getAngerLikelihood()

 Anger likelihood.
 

.google.cloud.vision.v1.Likelihood anger_likelihood = 11;

getSurpriseLikelihoodValue

int getSurpriseLikelihoodValue()

 Surprise likelihood.
 

.google.cloud.vision.v1.Likelihood surprise_likelihood = 12;

getSurpriseLikelihood

Likelihood getSurpriseLikelihood()

 Surprise likelihood.
 

.google.cloud.vision.v1.Likelihood surprise_likelihood = 12;

getUnderExposedLikelihoodValue

int getUnderExposedLikelihoodValue()

 Under-exposed likelihood.
 

.google.cloud.vision.v1.Likelihood under_exposed_likelihood = 13;

getUnderExposedLikelihood

Likelihood getUnderExposedLikelihood()

 Under-exposed likelihood.
 

.google.cloud.vision.v1.Likelihood under_exposed_likelihood = 13;

getBlurredLikelihoodValue

int getBlurredLikelihoodValue()

 Blurred likelihood.
 

.google.cloud.vision.v1.Likelihood blurred_likelihood = 14;

getBlurredLikelihood

Likelihood getBlurredLikelihood()

 Blurred likelihood.
 

.google.cloud.vision.v1.Likelihood blurred_likelihood = 14;

getHeadwearLikelihoodValue

int getHeadwearLikelihoodValue()

 Headwear likelihood.
 

.google.cloud.vision.v1.Likelihood headwear_likelihood = 15;

getHeadwearLikelihood

Likelihood getHeadwearLikelihood()

 Headwear likelihood.
 

.google.cloud.vision.v1.Likelihood headwear_likelihood = 15;