Java实现人脸识别

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Java实现人脸识别

平台准备

利用虹软视觉开放平台提供的免费SDK即可快速接入人脸识别功能

创建应用

在这里插入图片描述

添加SDK

选择服务在这里插入图片描述
选择运行平台
在这里插入图片描述
添加SDK后,还可添加多个不同平台的SDK
在这里插入图片描述

安装SDK

下载SDK

解压SDK,如解压ArcSoft_ArcFace_Java_Windows_x64_V3.0.zip

进入ArcSoft_ArcFace_Java_Windows_x64_V3.0\libs目录

在此目录进入cmd进行安装Jar到本地仓库

mvn install:install-file -DgroupId=com.arcsoft.face -DartifactId=arcsoft-sdk-face -Dversion=3.0.0.0 -Dpackaging=jar -Dfile=arcsoft-sdk-face-3.0.0.0.jar

指定运行库位置

将ArcSoft_ArcFace_Java_Windows_x64_V3.0\libs目录下的子目录文件拷贝至特定目录,如:D:\libs\

示例代码测试

添加依赖

    <dependency>
            <groupId>com.arcsoft.face</groupId>
            <artifactId>arcsoft-sdk-face</artifactId>
            <version>3.0.0.0</version>
        </dependency>

示例代码

public static void main(String[] args) {

        //从官网获取
        String appId = "3GMvHrq4kGVn1fdgj2w1vwY63FomBsDa9uHJjauQC2def";
        String sdkKey = "844rRt6ryzfZ7Zw2Bn1YbMWxQg47Y72JzLMzV4BQZiUMe";

        FaceEngine faceEngine = new FaceEngine("D:\\libs\\WIN64");
        //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("D:\\test.jpg"));
        List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
        errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
        System.out.println(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("D:\\test.jpg"));
        List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
        errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo.getImageFormat(), faceInfoList2);
        System.out.println(faceInfoList);

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

    }

测试

[com.arcsoft.face.Rect(1443, 432 - 2632, 1621),1]
特征值大小：1032
[com.arcsoft.face.Rect(1443, 432 - 2632, 1621),1]
特征值大小：1032
相似度：1.0
性别：1
年龄：23
3D角度：-8.610413,-2.251792,18.67919
活体：1
IR活体：0
年龄：23

项目集成测试

添加依赖

    <dependency>
            <groupId>com.arcsoft.face</groupId>
            <artifactId>arcsoft-sdk-face</artifactId>
            <version>3.0.0.0</version>
        </dependency>

配置密匙信息

单独在配置文件中配置密匙信息

arcsoft.appid=3GMvHrq4kGVn1fdgj2wvwY63FoDa9uHJjauQC2def
arcsoft.sdkKey=844rRt6ryzfZ7Zw2BnYbMWxQ2JzLMzV4BQZiUMe
arcsoft.libPath=D:\\libs\\WIN64

初始化引擎

 @Value("${arcsoft.appid}")
    private String appid;

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

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

    private FaceEngine faceEngine;

    @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()) {
            LOGGER.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()) {
            LOGGER.error("初始化引擎出错!");
            throw new RuntimeException("初始化引擎出错!");
        }

        this.faceEngine = faceEngine;
    }

人像检测

    public boolean checkIsPortrait(ImageInfo imageInfo) {
        // 人像列表
        List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
        faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), ImageFormat.CP_PAF_BGR24, faceInfoList);
        return !faceInfoList.isEmpty();
    }

测试

    @Test
    public void test(){
        File file = new File("D:\\test.jpg");
        ImageInfo imageInfo = ImageFactory.getRGBData(file);
        boolean checkIsPortrait = this.faceEngineService.checkIsPortrait(imageInfo);
        System.out.println(checkIsPortrait); 
    }
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