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PROTO library for proto-google-cloud-vision-v1
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/vision/v1/image_annotator.proto
package com.google.cloud.vision.v1;
public interface FaceAnnotationOrBuilder extends
// @@protoc_insertion_point(interface_extends:google.cloud.vision.v1.FaceAnnotation)
com.google.protobuf.MessageOrBuilder {
/**
*
* 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;
*/
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;
*/
com.google.cloud.vision.v1.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;
*/
com.google.cloud.vision.v1.BoundingPolyOrBuilder getBoundingPolyOrBuilder();
/**
*
* 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;
*/
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;
*/
com.google.cloud.vision.v1.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;
*/
com.google.cloud.vision.v1.BoundingPolyOrBuilder getFdBoundingPolyOrBuilder();
/**
*
* Detected face landmarks.
*
*
* repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;
*/
java.util.List
getLandmarksList();
/**
*
* Detected face landmarks.
*
*
* repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;
*/
com.google.cloud.vision.v1.FaceAnnotation.Landmark getLandmarks(int index);
/**
*
* Detected face landmarks.
*
*
* repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;
*/
int getLandmarksCount();
/**
*
* Detected face landmarks.
*
*
* repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;
*/
java.util.List
getLandmarksOrBuilderList();
/**
*
* Detected face landmarks.
*
*
* repeated .google.cloud.vision.v1.FaceAnnotation.Landmark landmarks = 3;
*/
com.google.cloud.vision.v1.FaceAnnotation.LandmarkOrBuilder getLandmarksOrBuilder(
int index);
/**
*
* 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;
*/
float getRollAngle();
/**
*
* 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;
*/
float getPanAngle();
/**
*
* 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;
*/
float getTiltAngle();
/**
*
* Detection confidence. Range [0, 1].
*
*
* float detection_confidence = 7;
*/
float getDetectionConfidence();
/**
*
* Face landmarking confidence. Range [0, 1].
*
*
* float landmarking_confidence = 8;
*/
float getLandmarkingConfidence();
/**
*
* Joy likelihood.
*
*
* .google.cloud.vision.v1.Likelihood joy_likelihood = 9;
*/
int getJoyLikelihoodValue();
/**
*
* Joy likelihood.
*
*
* .google.cloud.vision.v1.Likelihood joy_likelihood = 9;
*/
com.google.cloud.vision.v1.Likelihood getJoyLikelihood();
/**
*
* Sorrow likelihood.
*
*
* .google.cloud.vision.v1.Likelihood sorrow_likelihood = 10;
*/
int getSorrowLikelihoodValue();
/**
*
* Sorrow likelihood.
*
*
* .google.cloud.vision.v1.Likelihood sorrow_likelihood = 10;
*/
com.google.cloud.vision.v1.Likelihood getSorrowLikelihood();
/**
*
* Anger likelihood.
*
*
* .google.cloud.vision.v1.Likelihood anger_likelihood = 11;
*/
int getAngerLikelihoodValue();
/**
*
* Anger likelihood.
*
*
* .google.cloud.vision.v1.Likelihood anger_likelihood = 11;
*/
com.google.cloud.vision.v1.Likelihood getAngerLikelihood();
/**
*
* Surprise likelihood.
*
*
* .google.cloud.vision.v1.Likelihood surprise_likelihood = 12;
*/
int getSurpriseLikelihoodValue();
/**
*
* Surprise likelihood.
*
*
* .google.cloud.vision.v1.Likelihood surprise_likelihood = 12;
*/
com.google.cloud.vision.v1.Likelihood getSurpriseLikelihood();
/**
*
* Under-exposed likelihood.
*
*
* .google.cloud.vision.v1.Likelihood under_exposed_likelihood = 13;
*/
int getUnderExposedLikelihoodValue();
/**
*
* Under-exposed likelihood.
*
*
* .google.cloud.vision.v1.Likelihood under_exposed_likelihood = 13;
*/
com.google.cloud.vision.v1.Likelihood getUnderExposedLikelihood();
/**
*
* Blurred likelihood.
*
*
* .google.cloud.vision.v1.Likelihood blurred_likelihood = 14;
*/
int getBlurredLikelihoodValue();
/**
*
* Blurred likelihood.
*
*
* .google.cloud.vision.v1.Likelihood blurred_likelihood = 14;
*/
com.google.cloud.vision.v1.Likelihood getBlurredLikelihood();
/**
*
* Headwear likelihood.
*
*
* .google.cloud.vision.v1.Likelihood headwear_likelihood = 15;
*/
int getHeadwearLikelihoodValue();
/**
*
* Headwear likelihood.
*
*
* .google.cloud.vision.v1.Likelihood headwear_likelihood = 15;
*/
com.google.cloud.vision.v1.Likelihood getHeadwearLikelihood();
}