ai.djl.modality.cv.output.Joints Maven / Gradle / Ivy
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/*
* Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
* OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package ai.djl.modality.cv.output;
import java.io.Serializable;
import java.util.List;
/**
* A result of all joints found during Human Pose Estimation on a single image.
*
* @see Wikipedia
*/
public class Joints implements Serializable {
private static final long serialVersionUID = 1L;
@SuppressWarnings("serial")
private List joints;
/**
* Constructs the {@code Joints} with the provided joints.
*
* @param joints the joints
*/
public Joints(List joints) {
this.joints = joints;
}
/**
* Gets the joints for the image.
*
* @return the list of joints
*/
public List getJoints() {
return joints;
}
/** {@inheritDoc} */
@Override
public String toString() {
StringBuilder sb = new StringBuilder(4000);
sb.append("\n[\n\t");
boolean first = true;
for (Joint joint : joints) {
if (first) {
first = false;
} else {
sb.append(",\n\t");
}
sb.append(joint);
}
sb.append("\n]");
return sb.toString();
}
/**
* A joint that was detected using Human Pose Estimation on an image.
*
* @see Joints
*/
public static class Joint extends Point {
private static final long serialVersionUID = 1L;
private double confidence;
/**
* Constructs a Joint with given data.
*
* @param x the x coordinate of the joint
* @param y the y coordinate of the joint
* @param confidence the confidence probability for the joint
*/
public Joint(double x, double y, double confidence) {
super(x, y);
this.confidence = confidence;
}
/**
* Returns the confidence probability for the joint.
*
* @return the confidence
*/
public double getConfidence() {
return confidence;
}
/** {@inheritDoc} */
@Override
public String toString() {
return String.format(
"{\"Joint\": {\"x\"=%.3f, \"y\"=%.3f}, \"confidence\": %.4f}",
getX(), getY(), getConfidence());
}
}
}