FaceUtils -人脸采集工具-springboot+vue企业排班

package www.jf3q.com.utils.face;

import com.arcsoft.face.*;
import com.arcsoft.face.enums.DetectMode;
import com.arcsoft.face.enums.DetectOrient;
import com.arcsoft.face.enums.ErrorInfo;
import com.arcsoft.face.toolkit.ImageInfo;
import lombok.Data;
import org.apache.commons.lang.time.DateUtils;
import www.jf3q.com.bean.ScEmployees;

import java.io.File;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.UUID;

import static com.arcsoft.face.toolkit.ImageFactory.getRGBData;
import static com.arcsoft.face.toolkit.ImageFactory.getGrayData;
@Data

public class FaceUtils {




    public static String appId =  "xxx";
    public static String sdkKey= "xxx";
    public static String dllPath ="D:/WIN64";
   


    /**
     * 初始化
     */
    public static FaceEngine getFaceEngine() {

    	 FaceEngine faceEngine = new FaceEngine(dllPath);
        //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");
        }



        return faceEngine;
    }



    /**
     * 获取一张照片的特征值
     * @param bytes
     * @return
     */
    public static FaceData getFaceData(byte[] bytes,String base64img,boolean needalive){

        FaceData faceData = new FaceData();
        //人脸检测
        ImageInfo imageInfo = getRGBData(bytes);
        List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
        FaceEngine faceEngine = FaceUtils.getFaceEngine();
        int errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);




        System.out.println("人脸检测状态码："+errorCode);
        faceData.setValidateFace(errorCode);
        if(faceInfoList.size()==0) {
        	 faceData.setValidateFace(-1);
        	 return faceData;
        }
        //特征提取
        FaceFeature faceFeature = new FaceFeature();
        int code=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);
        System.out.println("特征值状态码：" + code);

        faceData.setFaceData(faceFeature.getFeatureData());


        if(needalive){
            //设置活体测试
            errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
            //人脸属性检测
            FunctionConfiguration configuration = new FunctionConfiguration();
            configuration.setSupportLiveness(true);
            errorCode = faceEngine.process(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);
            System.out.println("IR活体检测状态码："+errorCode);



            String htimg="D:\\ht"+ UUID.randomUUID().toString()+".jpg";
            boolean boo_htimg=ImageUtils.Base64ToImage(base64img,htimg);
            //IR属性处理
            ImageInfo imageInfoGray = getGrayData(new File(htimg));
            List<FaceInfo> faceInfoListGray = new ArrayList<FaceInfo>();
            errorCode = faceEngine.detectFaces(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);
            System.out.println("IR活体检测2状态码："+errorCode);

            FunctionConfiguration configuration2 = new FunctionConfiguration();
            configuration2.setSupportIRLiveness(true);
            errorCode = faceEngine.processIr(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration2);
            System.out.println("IR活体检测3状态码："+errorCode);
            //IR活体检测
            List<IrLivenessInfo> irLivenessInfo = new ArrayList<>();
            errorCode = faceEngine.getLivenessIr(irLivenessInfo);
            System.out.println("IR活体检测4状态码："+errorCode);

            int islive=0;
            if(irLivenessInfo!=null&&irLivenessInfo.size()>0){
                //irLivenessInfo.get(0).getLiveness() IR活体值，未知=-1 、非活体=0 、活体=1、超出人脸=-2
                islive=irLivenessInfo.get(0).getLiveness();
                System.out.println("IR活体：" + islive+"(未知=-1 、非活体=0 、活体=1、超出人脸=-2)");

            }

            if(islive==1)faceData.setValidatePoint(0);
            else faceData.setValidatePoint(-101);


            File f=new File(htimg);
            f.delete();
        }else{
            faceData.setValidatePoint(code);
        }



        //引擎卸载
        faceEngine.unInit();
        return faceData;
    }
     /**
     *  特征值比对（返回相似度）
     * @param sources
     * @param target
     * @return
     */
    public static CompareFace compare(byte[] sources,byte[] target){
        CompareFace compareFace = new CompareFace();
        FaceFeature targetFaceFeature = new FaceFeature();
        targetFaceFeature.setFeatureData(target);
        FaceFeature sourceFaceFeature = new FaceFeature();
        sourceFaceFeature.setFeatureData(sources);
        FaceSimilar faceSimilar = new FaceSimilar();
        FaceEngine faceEngine = FaceUtils.getFaceEngine();
        int scoreCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
        System.out.println("相似度状态码："+scoreCode);
        compareFace.setScoreCode(scoreCode);
        compareFace.setScore(faceSimilar.getScore());
        //引擎卸载
        faceEngine.unInit();
        return compareFace;
    }




}

package www.jf3q.com.utils.face;

 

import org.springframework.util.Base64Utils;
import sun.misc.BASE64Decoder;

import java.io.FileOutputStream;
import java.io.OutputStream;


public class ImageUtils {

    public static byte[] base64ToByte(String baseStr){
        if (baseStr == null){
            return null;
        }
        BASE64Decoder decoder = new BASE64Decoder();
        try {
            // 解密
            byte[] b = decoder.decodeBuffer(baseStr);
            // 处理数据
            for (int i = 0; i < b.length; ++i) {
                if (b[i] < 0) {
                    b[i] += 256;
                }
            }
            return b;
        } catch (Exception e) {
            return null;
        }
    }


    /**
     * base64字符串转换成图片 (对字节数组字符串进行Base64解码并生成图片)
     * @param imgStr		base64字符串
     * @param imgFilePath	指定图片存放路径  （注意：带文件名）
     * @return
     */
    public static boolean Base64ToImage(String imgStr,String imgFilePath) {

        if (imgStr == null) { // 图像数据为空
            return false;
        }

        try {
            // Base64解码
            byte[] b = Base64Utils.decodeFromString(imgStr);
            for (int i = 0; i < b.length; ++i) {
                if (b[i] < 0) {// 调整异常数据
                    b[i] += 256;
                }
            }

            OutputStream out = new FileOutputStream(imgFilePath);
            out.write(b);
            out.flush();
            out.close();

            return true;
        } catch (Exception e) {
            return false;
        }

    }
}