package com.fgkj.util;
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import com.arcsoft.face.*;
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import com.arcsoft.face.enums.DetectMode;
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import com.arcsoft.face.enums.DetectOrient;
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import com.arcsoft.face.enums.ErrorInfo;
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import com.arcsoft.face.toolkit.ImageInfo;
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import com.fgkj.actions.ActionUtil;
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import com.fgkj.dto.ServiceModel;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* @Description : 虹软人脸识别工具类
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* @date 2020/10/28
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**/
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public class FaceIdentifyUtil {
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//外网激活
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public static boolean activeOnline(){
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boolean res = false;
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//从官网我的应用中获取
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String appId = "AafPX5afzycEnTqH3v79gY3Neb7KShspSKhJEjaLsxbY";
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String sdkKey = "H8zJ6qGo8btTgwVksqqbp664Uenj4FSnBeEexPFAsnRi";
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String realPath = ActionUtil.getApplication().getRealPath("/");
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FaceEngine faceEngine = new FaceEngine(realPath+"\\WEB-INF\\lib\\WIN64");
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//激活引擎,只需一次就行,后续无需再激活
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int errorCode = faceEngine.activeOnline(appId, sdkKey);
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if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
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//激活失败
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}else{
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res=true;
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}
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return res;
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}
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/**初始化*/
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public static FaceEngine init(){
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String realPath = ActionUtil.getApplication().getRealPath("/");
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FaceEngine faceEngine = new FaceEngine(realPath+"\\WEB-INF\\lib\\WIN64");
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//引擎配置
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EngineConfiguration engineConfiguration = new EngineConfiguration();
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engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
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//对特定场景推荐单一角度而非全角度,那样精度更高
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engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);
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//最多支持的人脸数量
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// engineConfiguration.setDetectFaceMaxNum(10);
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engineConfiguration.setDetectFaceMaxNum(1);
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engineConfiguration.setDetectFaceScaleVal(16);
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//功能配置
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FunctionConfiguration functionConfiguration = new FunctionConfiguration();
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// functionConfiguration.setSupportAge(true);
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functionConfiguration.setSupportFace3dAngle(true);
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functionConfiguration.setSupportFaceDetect(true);
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functionConfiguration.setSupportFaceRecognition(true);
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// functionConfiguration.setSupportGender(true);
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functionConfiguration.setSupportLiveness(true);
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// functionConfiguration.setSupportIRLiveness(true);
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engineConfiguration.setFunctionConfiguration(functionConfiguration);
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//初始化引擎
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int errorCode = faceEngine.init(engineConfiguration);
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if (errorCode != ErrorInfo.MOK.getValue()) {
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System.out.println("初始化引擎失败");
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return null;
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}
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System.out.println("初始化faceEngine引擎成功");
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return faceEngine;
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}
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public static ServiceModel orientAndPxDetect(FaceEngine faceEngine,ImageInfo imageInfo) {
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ServiceModel model = new ServiceModel();
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model.setCode(1);
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//检查角度是否端正,检查人脸像素大小是否>50×50
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List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
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faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
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if (faceInfoList.size()<1){
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model.setCode(0);
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model.setMsg("无效的人脸信息");
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}else {
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FaceInfo faceInfo = faceInfoList.get(0);
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Rect rect = faceInfo.getRect();
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if (faceInfo.getOrient() != 1) {
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model.setCode(0);
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model.setMsg("人像姿势不端正");
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} else if ((rect.bottom - rect.top) < 50 || (rect.right - rect.left) < 50) {
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model.setCode(0);
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model.setMsg("人像面部像素太低");
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}
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}
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return model;
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}
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public static ServiceModel liveDetect(FaceEngine faceEngine,ImageInfo imageInfo) {
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ServiceModel model = new ServiceModel();
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int errorCode=0;
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List<FaceInfo> faceInfoList = new ArrayList<>();
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List<LivenessInfo> livenessInfoList = new ArrayList<>();
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errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
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//设置活体测试
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//活体取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为活体。
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// RGB 活体：0.5
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// IR 活体：0.7
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errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
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//人脸属性检测
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FunctionConfiguration configuration = new FunctionConfiguration();
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// configuration.setSupportAge(true);
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configuration.setSupportFace3dAngle(true);
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// configuration.setSupportGender(true);
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configuration.setSupportLiveness(true);
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errorCode = faceEngine.process(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);
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faceEngine.getLiveness(livenessInfoList);
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if(livenessInfoList.size()<1){
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model.setCode(0);
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model.setMsg("无效的脸部信息");
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}else if(livenessInfoList.get(0).getLiveness()!=1){
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model.setCode(0);
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if(livenessInfoList.get(0).getLiveness()==0){
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model.setMsg("非活体");
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}
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else if(livenessInfoList.get(0).getLiveness()==-2){
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model.setMsg("人脸数不为1");
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}
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else if(livenessInfoList.get(0).getLiveness()==-3){
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model.setMsg("人脸过小");
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}
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else if(livenessInfoList.get(0).getLiveness()==-4){
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model.setMsg("人脸角度过大");
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}
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else if(livenessInfoList.get(0).getLiveness()==-5){
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model.setMsg("人脸超出边界");
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}
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else if(livenessInfoList.get(0).getLiveness()==-6){
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model.setMsg("深度图像错误");
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}
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else if(livenessInfoList.get(0).getLiveness()==-7){
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model.setMsg("红外图像错误");
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}else{
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model.setMsg("非活体");
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}
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}else{
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model.setCode(1);
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}
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return model;
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}
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public static ServiceModel faceCompare(FaceEngine faceEngine, ImageInfo imageInfo, ImageInfo imageInfo2) {
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ServiceModel model = new ServiceModel();
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int errorCode=0;
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//人脸检测
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List<FaceInfo> faceInfoList = new ArrayList<>();
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errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
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//特征提取
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FaceFeature faceFeature = new FaceFeature();
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if(faceInfoList.size()>0) {
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errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature);
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}else{
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model.setCode(0);
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model.setMsg("人脸面部无法识别");
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}
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//人脸检测2
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List<FaceInfo> faceInfoList2 = new ArrayList<>();
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errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo2.getImageFormat(), faceInfoList2);
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//特征提取2
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FaceFeature faceFeature2 = new FaceFeature();
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errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2.get(0), faceFeature2);
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//特征比对
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FaceFeature targetFaceFeature = new FaceFeature();
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targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
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FaceFeature sourceFaceFeature = new FaceFeature();
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sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
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FaceSimilar faceSimilar = new FaceSimilar();
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errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
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//官方建议:
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//人脸比对取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为同一人。
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// 用于生活照之间的特征比对，推荐阈值0.80
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// 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82
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if(faceSimilar.getScore()<0.8){
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model.setCode(0);
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model.setMsg("人脸不匹配");
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}else{
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model.setCode(1);
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model.setMsg("匹配成功");
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}
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return model;
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}
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public static ServiceModel faceCompare2N(FaceEngine faceEngine, ImageInfo imageInfo, FaceFeature faceFeature2) {
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ServiceModel model = new ServiceModel();
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int errorCode = 0;
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//人脸检测
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List<FaceInfo> faceInfoList = new ArrayList<>();
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errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
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//特征提取
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FaceFeature faceFeature = new FaceFeature();
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if (faceInfoList.size() > 0) {
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errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature);
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} else {
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model.setCode(0);
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model.setMsg("人脸面部无法识别");
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return model;
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}
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//特征比对
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FaceFeature targetFaceFeature = new FaceFeature();
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targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
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FaceFeature sourceFaceFeature = new FaceFeature();
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sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
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FaceSimilar faceSimilar = new FaceSimilar();
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errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
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//官方建议:
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//人脸比对取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为同一人。
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// 用于生活照之间的特征比对，推荐阈值0.80
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// 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82
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if (faceSimilar.getScore() < 0.88) {
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model.setCode(0);
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model.setMsg("人脸不匹配");
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} else {
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model.setCode(1);
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}
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return model;
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}
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}
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