人脸识别（Java实现的）

虹软人脸识别：

虹软人脸识别的地址：虹软视觉开放平台—以免费人脸识别技术为核心的人脸识别算法开放平台

依赖包：

依赖包是从虹软开发平台下载的

在项目中引入这个依赖包

pom.xml

<!--      人脸识别  -->
        <dependency>
            <groupId>com.arcsoft.face</groupId>
            <artifactId>arcsoft-sdk-face</artifactId>
            <version>2.2.0.1</version>
            <scope>system</scope>
            <systemPath>${project.basedir}/lib/arcsoft-sdk-face-3.0.0.0.jar</systemPath>
        </dependency>

打包：

<configuration>
     <includeSystemScope>true</includeSystemScope>
</configuration>

如图：

需要的参数：

#虹软人脸识别参数
arcsoft.appid=JC1YjvrZrVXtJTTw9d68Jpzi95FY5kNAM5r98wft11111
arcsoft.sdkKey=EAFuucMzSpKymeCYqYwg4UC3QBbbMeMnw7NZBNRt1111
#驱动
arcsoft.libPath=D:\\Java\\faceDrive  

驱动是需要引入代码中的

代码：

package com.example.tanhuanapp.server.impl;

import com.arcsoft.face.EngineConfiguration;
import com.arcsoft.face.FaceEngine;
import com.arcsoft.face.FaceInfo;
import com.arcsoft.face.FunctionConfiguration;
import com.arcsoft.face.enums.DetectMode;
import com.arcsoft.face.enums.DetectOrient;
import com.arcsoft.face.enums.ErrorInfo;
import com.arcsoft.face.enums.ImageFormat;
import com.arcsoft.face.toolkit.ImageFactory;
import com.arcsoft.face.toolkit.ImageInfo;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import javax.annotation.PostConstruct;
import java.io.File;
import java.util.ArrayList;
import java.util.List;

/**
 * @author IT空门_门主
 * @date 2024/1/11
 */
@Slf4j
@Service
public class FaceEngineServiceImpl {
    @Value("${arcsoft.appid}")
    private String  appid;

    @Value("${arcsoft.sdkKey}")
    private String  sdkKey;
    @Value("${arcsoft.libPath}")
    private String  libPath;
    private FaceEngine faceEngine;

    /**
     *  初始化引擎
     */
    @PostConstruct
    public void init() {
        // 激活并且初始化引擎
        FaceEngine faceEngine = new FaceEngine(libPath);
        int activeCode = faceEngine.activeOnline(appid, sdkKey);
        if (activeCode != ErrorInfo.MOK.getValue() && activeCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
            log.error("引擎激活失败");
            throw new RuntimeException("引擎激活失败");
        }

        //引擎配置
        EngineConfiguration engineConfiguration = new EngineConfiguration();
        //IMAGE检测模式，用于处理单张的图像数据
        engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
        //人脸检测角度，逆时针0度
        engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_0_ONLY);

        //功能配置
        FunctionConfiguration functionConfiguration = new FunctionConfiguration();
        functionConfiguration.setSupportAge(true);
        functionConfiguration.setSupportFace3dAngle(true);
        functionConfiguration.setSupportFaceDetect(true);
        functionConfiguration.setSupportFaceRecognition(true);
        functionConfiguration.setSupportGender(true);
        functionConfiguration.setSupportLiveness(true);
        functionConfiguration.setSupportIRLiveness(true);
        engineConfiguration.setFunctionConfiguration(functionConfiguration);

        //初始化引擎
        int initCode = faceEngine.init(engineConfiguration);

        if (initCode != ErrorInfo.MOK.getValue()) {
            log.error("初始化引擎出错!");
            throw new RuntimeException("初始化引擎出错!");
        }

        this.faceEngine = faceEngine;
    }
    /**
     * 检测图片是否为人像
     *
     * @param imageInfo 图像对象
     * @return true:人像，false:非人像
     */
    public boolean checkIsPortrait(ImageInfo imageInfo) {
        // 定义人脸列表
        List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
        faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), ImageFormat.CP_PAF_BGR24, faceInfoList);
        log.info("检测到人脸数量:{}",faceInfoList.size());
        log.info("检测:{}",faceInfoList);
        return !faceInfoList.isEmpty();
    }

    /**
     *上传图片接口（byte[]）
     * @param imageData
     * @return
     */
    public boolean checkIsPortrait(byte[] imageData) {
        return this.checkIsPortrait(ImageFactory.getRGBData(imageData));
    }

    /**
     * 上传图片接口（file）
     * @param file
     * @return
     */
    public boolean checkIsPortrait(File file) {
        return this.checkIsPortrait(ImageFactory.getRGBData(file));
    }
}

测试：

package com.example.tanhuanapp;

import com.arcsoft.face.*;
import com.arcsoft.face.enums.DetectMode;
import com.arcsoft.face.enums.DetectModel;
import com.arcsoft.face.enums.DetectOrient;
import com.arcsoft.face.enums.ErrorInfo;
import com.arcsoft.face.toolkit.ImageInfo;
import com.arcsoft.face.toolkit.ImageInfoEx;
import com.example.tanhuanapp.server.impl.FaceEngineServiceImpl;
import lombok.extern.slf4j.Slf4j;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import static com.arcsoft.face.toolkit.ImageFactory.getGrayData;
import static com.arcsoft.face.toolkit.ImageFactory.getRGBData;

/**
 * @author IT空门_门主
 * @date 2024/1/11
 */
@Slf4j
@SpringBootTest
public class FaceRecognition {
    @Autowired
    private FaceEngineServiceImpl faceEngineService;
    /**
    * 测试人脸识别
    */
    @Test
    public void testCheckIsPortrait(){
        File file = new File("C:\\Users\\DELL\\Desktop\\aa\\1.jpg");
        boolean checkIsPortrait = this.faceEngineService.checkIsPortrait(file);
        System.out.println(checkIsPortrait); // true|false
    }

    @Test
    void contextLoads() {

        //从官网获取
        String appId = "JC1YjvrZrVXtJTTw9d68Jpzi95FY5kNAM5r98wftenQU";
        String sdkKey = "EAFuucMzSpKymeCYqYwg4UC3QBbbMeMnw7NZBNRtcGco";
        FaceEngine faceEngine = new FaceEngine("D:\\Java\\faceDrive");
        log.info("faceEngine:{}",faceEngine);
        //激活引擎
        int errorCode = faceEngine.activeOnline(appId, sdkKey);

        if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
            System.out.println("引擎激活失败");
        }

        ActiveFileInfo activeFileInfo=new ActiveFileInfo();
        errorCode = faceEngine.getActiveFileInfo(activeFileInfo);
        if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
            System.out.println("获取激活文件信息失败");
        }
        //引擎配置
        EngineConfiguration engineConfiguration = new EngineConfiguration();
        engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
        engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);
        engineConfiguration.setDetectFaceMaxNum(10);
        engineConfiguration.setDetectFaceScaleVal(16);
        //功能配置
        FunctionConfiguration functionConfiguration = new FunctionConfiguration();
        functionConfiguration.setSupportAge(true);
        functionConfiguration.setSupportFace3dAngle(true);
        functionConfiguration.setSupportFaceDetect(true);
        functionConfiguration.setSupportFaceRecognition(true);
        functionConfiguration.setSupportGender(true);
        functionConfiguration.setSupportLiveness(true);
        functionConfiguration.setSupportIRLiveness(true);
        engineConfiguration.setFunctionConfiguration(functionConfiguration);


        //初始化引擎
        errorCode = faceEngine.init(engineConfiguration);

        if (errorCode != ErrorInfo.MOK.getValue()) {
            System.out.println("初始化引擎失败");
        }


        //人脸检测
        ImageInfo imageInfo = getRGBData(new File("C:\\Users\\DELL\\Desktop\\aa\\21.jpg"));
        List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
        errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
        System.out.println(faceInfoList);
        log.info("人脸检测接口返回值为{}", faceInfoList);

        //特征提取
        FaceFeature faceFeature = new FaceFeature();
        errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature);
        System.out.println("特征值大小：" + faceFeature.getFeatureData().length);

        //人脸检测2
        ImageInfo imageInfo2 = getRGBData(new File("C:\\Users\\DELL\\Desktop\\aa\\21.jpg"));
        List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
        errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo2.getImageFormat(), faceInfoList2);
        System.out.println(faceInfoList2);

        //特征提取2
        FaceFeature faceFeature2 = new FaceFeature();
        errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2.get(0), faceFeature2);
        System.out.println("特征值大小：" + faceFeature2.getFeatureData().length);

        //特征比对
        FaceFeature targetFaceFeature = new FaceFeature();
        targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
        FaceFeature sourceFaceFeature = new FaceFeature();
        sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
        FaceSimilar faceSimilar = new FaceSimilar();

        errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);

        System.out.println("相似度：" + faceSimilar.getScore());

        //设置活体测试
        errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
        //人脸属性检测
        FunctionConfiguration configuration = new FunctionConfiguration();
        configuration.setSupportAge(true);
        configuration.setSupportFace3dAngle(true);
        configuration.setSupportGender(true);
        configuration.setSupportLiveness(true);
        errorCode = faceEngine.process(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);


        //性别检测
        List<GenderInfo> genderInfoList = new ArrayList<GenderInfo>();
        errorCode = faceEngine.getGender(genderInfoList);
        System.out.println("性别：" + genderInfoList.get(0).getGender());

        //年龄检测
        List<AgeInfo> ageInfoList = new ArrayList<AgeInfo>();
        errorCode = faceEngine.getAge(ageInfoList);
        System.out.println("年龄：" + ageInfoList.get(0).getAge());

        //3D信息检测
        List<Face3DAngle> face3DAngleList = new ArrayList<Face3DAngle>();
        errorCode = faceEngine.getFace3DAngle(face3DAngleList);
        System.out.println("3D角度：" + face3DAngleList.get(0).getPitch() + "," + face3DAngleList.get(0).getRoll() + "," + face3DAngleList.get(0).getYaw());

        //活体检测
        List<LivenessInfo> livenessInfoList = new ArrayList<LivenessInfo>();
        errorCode = faceEngine.getLiveness(livenessInfoList);
        System.out.println("活体：" + livenessInfoList.get(0).getLiveness());


        //IR属性处理
        ImageInfo imageInfoGray = getGrayData(new File("C:\\Users\\DELL\\Desktop\\aa\\21.jpg"));
        List<FaceInfo> faceInfoListGray = new ArrayList<FaceInfo>();
        errorCode = faceEngine.detectFaces(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);

        FunctionConfiguration configuration2 = new FunctionConfiguration();
        configuration2.setSupportIRLiveness(true);
        errorCode = faceEngine.processIr(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration2);
        //IR活体检测
        List<IrLivenessInfo> irLivenessInfo = new ArrayList<>();
        errorCode = faceEngine.getLivenessIr(irLivenessInfo);
        System.out.println("IR活体：" + irLivenessInfo.get(0).getLiveness());

        ImageInfoEx imageInfoEx = new ImageInfoEx();
        imageInfoEx.setHeight(imageInfo.getHeight());
        imageInfoEx.setWidth(imageInfo.getWidth());
        imageInfoEx.setImageFormat(imageInfo.getImageFormat());
        imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});
        imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});
        List<FaceInfo> faceInfoList1 = new ArrayList<>();
        errorCode = faceEngine.detectFaces(imageInfoEx, DetectModel.ASF_DETECT_MODEL_RGB, faceInfoList1);

        FunctionConfiguration fun = new FunctionConfiguration();
        fun.setSupportAge(true);
        errorCode = faceEngine.process(imageInfoEx, faceInfoList1, functionConfiguration);
        List<AgeInfo> ageInfoList1 = new ArrayList<>();
        int age = faceEngine.getAge(ageInfoList1);
        System.out.println("年龄：" + ageInfoList1.get(0).getAge());

        FaceFeature feature = new FaceFeature();
        errorCode = faceEngine.extractFaceFeature(imageInfoEx, faceInfoList1.get(0), feature);


        //引擎卸载
        errorCode = faceEngine.unInit();




    }
}