package com.walker.openocr; public class FaceDetectResult { public int getFaceNum() { return faceNum; } public void setFaceNum(int faceNum) { this.faceNum = faceNum; } public String getFaceToken() { return faceToken; } public void setFaceToken(String faceToken) { this.faceToken = faceToken; } public double getLeft() { return left; } public void setLeft(double left) { this.left = left; } public double getTop() { return top; } public void setTop(double top) { this.top = top; } public double getWidth() { return width; } public void setWidth(double width) { this.width = width; } public double getHeight() { return height; } public void setHeight(double height) { this.height = height; } public double getFaceProbability() { return faceProbability; } public void setFaceProbability(double faceProbability) { this.faceProbability = faceProbability; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } public boolean isSmile() { return smile; } public void setSmile(boolean smile) { this.smile = smile; } public String getGender() { return gender; } public void setGender(String gender) { this.gender = gender; } public boolean isGlasses() { return glasses; } public void setGlasses(boolean glasses) { this.glasses = glasses; } public String getFaceType() { return faceType; } public void setFaceType(String faceType) { this.faceType = faceType; } public double getFaceTypeProbability() { return faceTypeProbability; } public void setFaceTypeProbability(double faceTypeProbability) { this.faceTypeProbability = faceTypeProbability; } private int faceNum = 1; private String faceToken; private double left = 0; private double top = 0; private double width = 0; private double height = 0; private double faceProbability = 0; // 人脸置信度,范围【0~1】,代表这是一张人脸的概率,0最小、1最大 private int age = 0; private boolean smile = false; private String gender = null; // 性别,male:男性 female:女性 private boolean glasses = false; // 是否带眼镜,face_field包含glasses时返回 private String faceType = null; // 人脸类型,human: 真实人脸 cartoon: 卡通人脸 private double faceTypeProbability = 0; // 人脸类型判断正确的置信度,范围【0~1】,0代表概率最小、1代表最大 }