package com.walker.openocr;
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public class FaceDetectResult {
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public int getFaceNum() {
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return faceNum;
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}
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public void setFaceNum(int faceNum) {
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this.faceNum = faceNum;
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}
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public String getFaceToken() {
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return faceToken;
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}
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public void setFaceToken(String faceToken) {
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this.faceToken = faceToken;
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}
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public double getLeft() {
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return left;
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}
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public void setLeft(double left) {
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this.left = left;
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}
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public double getTop() {
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return top;
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}
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public void setTop(double top) {
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this.top = top;
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}
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public double getWidth() {
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return width;
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}
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public void setWidth(double width) {
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this.width = width;
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}
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public double getHeight() {
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return height;
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}
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public void setHeight(double height) {
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this.height = height;
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}
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public double getFaceProbability() {
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return faceProbability;
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}
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public void setFaceProbability(double faceProbability) {
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this.faceProbability = faceProbability;
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}
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public int getAge() {
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return age;
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}
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public void setAge(int age) {
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this.age = age;
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}
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public boolean isSmile() {
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return smile;
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}
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public void setSmile(boolean smile) {
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this.smile = smile;
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}
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public String getGender() {
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return gender;
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}
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public void setGender(String gender) {
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this.gender = gender;
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}
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public boolean isGlasses() {
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return glasses;
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}
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public void setGlasses(boolean glasses) {
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this.glasses = glasses;
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}
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public String getFaceType() {
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return faceType;
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}
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public void setFaceType(String faceType) {
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this.faceType = faceType;
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}
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public double getFaceTypeProbability() {
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return faceTypeProbability;
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}
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public void setFaceTypeProbability(double faceTypeProbability) {
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this.faceTypeProbability = faceTypeProbability;
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}
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private int faceNum = 1;
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private String faceToken;
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private double left = 0;
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private double top = 0;
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private double width = 0;
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private double height = 0;
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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
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private int age = 0;
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private boolean smile = false;
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private String gender = null; // 性别，male:男性 female:女性
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private boolean glasses = false; // 是否带眼镜，face_field包含glasses时返回
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private String faceType = null; // 人脸类型，human: 真实人脸 cartoon: 卡通人脸
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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
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}
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