Qt编写百度离线版人脸识别+比对+活体检测

在AI技术发展迅猛的今天，很多设备都希望加上人脸识别功能，好像不加上点人脸识别功能感觉不够高大上，都往人脸识别这边靠，手机刷脸解锁，刷脸支付，刷脸开门，刷脸金融，刷脸安防，是不是以后还可以刷脸匹配男女交友？
很多人认为人脸识别直接用opencv做，其实那只是极其基础的识别个人脸，然并卵，好比学C++写了个hello类似。拿到人脸区域图片只是万里长征的第一步，真正能够起作用的是人脸特征值的提取，然后用于搜索和查找人脸，比如两张图片比较相似度，从一堆人脸库中找到最相似的人脸，对当前人脸识别是否是活体等。
对于可以接入外网的设备，可以直接通过在线api的http请求方式获得结果，但是有很多应用场景是离线的，或者说不通外网，只能局域网使用，为了安全性考虑，这个时候就要求所有的人脸处理在本地完成，本篇文章采用的百度离线SDK作为解决方案。可以去官网申请，默认有6个免费的密钥使用三个月，需要与本地设备的指纹信息匹配，感兴趣的同学可以自行去官网下载SDK。
百度离线人脸识别SDK文件比较大，光模型文件就645MB，估计这也许是识别率比较高的一方面原因吧，不断训练得出的模型库，本篇文章只放出Qt封装部分源码。官网对应的使用说明还是非常详细的，只要是学过编程的人就可以看懂。
第一步：初始化SDK
第二步：执行动作，比如查找人脸、图片比对、特征值比对等

 

完整头文件代码：

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#ifndef FACEBAIDULOCAL_H #define FACEBAIDULOCAL_H   /**  * 百度离线版人脸识别+人脸比对等功能类 作者:feiyangqingyun(QQ:517216493) 2018-8-30  * 1:支持活体检测  * 2:可设置最大队列中的图片数量  * 3:多线程处理,通过type控制当前处理类型  * 4:支持单张图片检索相似度最高的图片  * 5:支持指定目录图片生成特征文件  * 6:支持两张图片比对方式  * 7:可设置是否快速查找  * 8:可设置是否统计用时  */   #include <QtCore> #include <QtGui> #if (QT_VERSION > QT_VERSION_CHECK(5,0,0)) #include <QtWidgets> #endif #include "baidu_face_api.h"   class FaceBaiDuLocal : public QThread {     Q_OBJECT public:     static FaceBaiDuLocal *Instance();     explicit FaceBaiDuLocal(QObject *parent = 0);     ~FaceBaiDuLocal();   protected:     void run();   private:     static QScopedPointer<FaceBaiDuLocal> self;       BaiduFaceApi *api;     std::vector<TrackFaceInfo> *faces;       QMutex mutex;                   //锁对象     bool stopped;                   //线程停止标志位       int maxCount;                   //最大图片张数     int type;                       //当前处理类型     int percent;                    //最小人脸百分比     int delayms;                    //减去毫秒数,用于造假     bool findFast;                  //是否快速模式     bool countTime;                 //统计用时     bool busy;                      //是否正忙       QList<QString> flags;           //等待处理的图像队列的名称     QList<QImage> imgs;             //等待处理的图像队列     QList<QImage> imgs2;            //等待处理的比对图像队列       QString sdkPath;                //SDK目录     QString imgDir;                 //图片目录     QImage oneImg;                  //单张图片比对找出最大特征图像     QList<QString> imgNames;        //图像队列     QList<QList<float> > features;  //特征队列   signals:     //人脸区域坐标返回     void receiveFaceRect(const QString &flag, const QRect &rect, int msec);     //获取人脸区域坐标失败     void receiveFaceRectFail(const QString &flag);       //人脸特征返回     void receiveFaceFeature(const QString &flag, const QList<float> &feature, int msec);     //获取人脸特征失败     void receiveFaceFeatureFail(const QString &flag);       //人脸比对结果返回     void receiveFaceCompare(const QString &flag, float result, int msec);     //人脸比对失败     void receiveFaceCompareFail(const QString &flag);       //单张图片检索最大相似度结果返回     void receiveFaceCompareOne(const QString &flag, const QImage &srcImg, const QString &targetName, float result);     //所有人脸特征提取完毕     void receiveFaceFeatureFinsh();       //活体检测返回     void receiveFaceLive(const QString &flag, float result, int msec);     //活体检测失败     void receiveFaceLiveFail(const QString &flag);   public slots:     //初始化SDK     void init();     //停止处理线程     void stop();     //获取当前是否忙     bool getBusy();       //设置图片队列最大张数     void setMaxCount(int maxCount);     //设置当前处理类型     void setType(int type);     //设置最小人脸百分比     void setPercent(int percent);     //设置减去毫秒数     void setDelayms(int delayms);     //设置是否快速模式     void setFindFast(bool findFast);     //设置是否统计用时     void setCountTime(bool countTime);     //设置是否忙     void setBusy(bool busy);       //设置SDK目录     void setSDKPath(const QString &sdkPath);     //设置要将图片提取出特征的目录     void setImgDir(const QString &imgDir);     //设置单张需要检索的图片     void setOneImg(const QString &flag, const QImage &oneImg);       //往队列中追加单张图片等待处理     void append(const QString &flag, const QImage &img);     //往队列中追加两张图片等待比对     void append(const QString &flag, const QImage &img, const QImage &img2);         //自动加载目录下的所有图片的特征     void getFaceFeatures(const QString &imgDir);       //获取人脸区域     bool getFaceRect(const QString &flag, const QImage &img, QRect &rect, int &msec);       //活体检测     bool getFaceLive(const QString &flag, const QImage &img, float &result, int &msec);       //获取人脸特征     bool getFaceFeature(const QString &flag, const QImage &img, QList<float> &feature, int &msec);       //人脸比对,传入两张照片特征     float getFaceCompare(const QString &flag, const QList<float> &feature1, const QList<float> &feature2);     //人脸比对,传入两张照片     bool getFaceCompare(const QString &flag, const QImage &img1, const QImage &img2, float &result, int &msec);       //从一堆图片中找到最像的一张图片     void getFaceOne(const QString &flag, const QImage &img, QString &targetName, float &result);     //指定特征找到照片     void getFaceOne(const QString &flag, const QList<float> &feature, QString &targetName, float &result);       //添加人脸     void appendFace(const QString &flag, const QImage &img, const QString &txtFile);     //删除人脸     void deleteFace(const QString &flag); };   #endif // FACEBAIDULOCAL_H

完整实现文件代码：

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#include "facebaidulocal.h"   #define TIMEMS qPrintable(QTime::currentTime().toString("HH:mm:ss zzz"))   QByteArray getImageData(const QImage &image) {     QByteArray imageData;     QBuffer buffer(&imageData);     image.save(&buffer, "JPG");     imageData = imageData.toBase64();     return imageData; }   QScopedPointer<FaceBaiDuLocal> FaceBaiDuLocal::self; FaceBaiDuLocal *FaceBaiDuLocal::Instance() {     if (self.isNull()) {         QMutex mutex;         QMutexLocker locker(&mutex);         if (self.isNull()) {             self.reset(new FaceBaiDuLocal);         }     }       return self.data(); }   FaceBaiDuLocal::FaceBaiDuLocal(QObject *parent) : QThread(parent) {     //注册信号中未知的数据类型     qRegisterMetaType<QList<float> >("QList<float>");     stopped = false;       maxCount = 100;     type = 1;     percent = 8;     delayms = 0;     findFast = false;     countTime = true;     busy = false;       sdkPath = qApp->applicationDirPath() + "/facesdk";     imgDir = "";     oneImg = QImage();       api = new BaiduFaceApi;     faces = new std::vector<TrackFaceInfo>(); }   FaceBaiDuLocal::~FaceBaiDuLocal() {     delete api;     this->stop();     this->wait(1000); }   void FaceBaiDuLocal::run() {     this->init();     while(!stopped) {         int count = flags.count();         if (count > 0) {             QMutexLocker lock(&mutex);             busy = true;             if (type == 0) {                 QString flag = flags.takeFirst();                 QImage img = imgs.takeFirst();                   QRect rect;                 int msec;                 if (getFaceRect(flag, img, rect, msec)) {                     emit receiveFaceRect(flag, rect, msec);                 } else {                     emit receiveFaceRectFail(flag);                 }             } else if (type == 1) {                 QString flag = flags.takeFirst();                 QImage img = imgs.takeFirst();                   QList<float> feature;                 int msec;                 if (getFaceFeature(flag, img, feature, msec)) {                     emit receiveFaceFeature(flag, feature, msec);                 } else {                     emit receiveFaceFeatureFail(flag);                 }             } else if (type == 2) {                 QString flag = flags.takeFirst();                 QImage img1 = imgs.takeFirst();                 QImage img2 = imgs2.takeFirst();                   float result;                 int msec;                 if (getFaceCompare(flag, img1, img2, result, msec)) {                     emit receiveFaceCompare(flag, result, msec);                 } else {                     emit receiveFaceCompareFail(flag);                 }             } else if (type == 3) {                 flags.takeFirst();                   getFaceFeatures(imgDir);             } else if (type == 4) {                 QString flag = flags.takeFirst();                   QString targetName;                 float result;                 getFaceOne(flag, oneImg, targetName, result);                 if (!targetName.isEmpty()) {                     emit receiveFaceCompareOne(flag, oneImg, targetName, result);                 }             } else if (type == 5) {                 QString flag = flags.takeFirst();                 QImage img = imgs.takeFirst();                   float result;                 int msec;                 if (getFaceLive(flag, img, result, msec)) {                     emit receiveFaceLive(flag, result, msec);                 } else {                     emit receiveFaceLiveFail(flag);                 }             }         }           msleep(100);         busy = false;     }       stopped = false; }   void FaceBaiDuLocal::init() {     int res = api->sdk_init();     res = api->is_auth();     if(res != 1) {         qDebug() << TIMEMS << QString("init sdk error: %1").arg(res);         return;     } else {         //设置最小人脸,默认30         api->set_min_face_size(percent);         //设置光照阈值,默认40         api->set_illum_thr(20);         //设置角度阈值,默认15         //api->set_eulur_angle_thr(30, 30, 30);         qDebug() << TIMEMS << "init sdk ok";     } }   void FaceBaiDuLocal::stop() {     stopped = true; }   bool FaceBaiDuLocal::getBusy() {     return this->busy; }   void FaceBaiDuLocal::setMaxCount(int maxCount) {     if (maxCount <= 1000) {         this->maxCount = maxCount;     } }   void FaceBaiDuLocal::setType(int type) {     if (this->type != type) {         this->type = type;         this->flags.clear();         this->imgs.clear();         this->imgs2.clear();     } }   void FaceBaiDuLocal::setPercent(int percent) {     this->percent = percent; }   void FaceBaiDuLocal::setDelayms(int delayms) {     this->delayms = delayms; }   void FaceBaiDuLocal::setFindFast(bool findFast) {     this->findFast = findFast; }   void FaceBaiDuLocal::setCountTime(bool countTime) {     this->countTime = countTime; }   void FaceBaiDuLocal::setBusy(bool busy) {     this->busy = busy; }   void FaceBaiDuLocal::setSDKPath(const QString &sdkPath) {     this->sdkPath = sdkPath; }   void FaceBaiDuLocal::setImgDir(const QString &imgDir) {     this->imgDir = imgDir;     this->flags.clear();     this->flags.append("imgDir");     this->type = 3; }   void FaceBaiDuLocal::setOneImg(const QString &flag, const QImage &oneImg) {     setType(4);       //需要将图片重新拷贝一个,否则当原图像改变之后也会改变     this->oneImg = oneImg.copy();     this->flags.append(flag); }   void FaceBaiDuLocal::append(const QString &flag, const QImage &img) {     QMutexLocker lock(&mutex);     int count = flags.count();     if (count < maxCount) {         flags.append(flag);         imgs.append(img);     } }   void FaceBaiDuLocal::append(const QString &flag, const QImage &img, const QImage &img2) {     QMutexLocker lock(&mutex);     int count = flags.count();     if (count < maxCount) {         flags.append(flag);         imgs.append(img);         imgs2.append(img2);     } }   void FaceBaiDuLocal::getFaceFeatures(const QString &imgDir) {     imgNames.clear();     features.clear();       //载入指定目录图像处理特征     QDir imagePath(imgDir);     QStringList filter;     filter << "*.jpg" << "*.bmp" << "*.png" << "*.jpeg" << "*.gif";     imgNames.append(imagePath.entryList(filter));       qDebug() << TIMEMS << "getFaceFeatures" << imgNames;       //从目录下读取同名的txt文件(存储的特征)     //如果存在则从文件读取特征,如果不存在则转码解析出特征     //转码完成后将得到的特征存储到同名txt文件     int count = imgNames.count();     for (int i = 0; i < count; i++) {         QList<float> feature;         int msec;           QString imgName = imgNames.at(i);         QStringList list = imgName.split(".");         QString txtName = imgDir + "/" + list.at(0) + ".txt";         QFile file(txtName);           if (file.exists()) {             if (file.open(QFile::ReadOnly)) {                 QString data = file.readAll();                 file.close();                   qDebug() << TIMEMS << "readFaceFeature" << txtName;                   QStringList list = data.split(",");                 foreach (QString str, list) {                     if (!str.isEmpty()) {                         feature.append(str.toFloat());                     }                 }             }         } else {             QImage img(imgDir + "/" + imgName);             bool ok = getFaceFeature(imgName, img, feature, msec);               if (ok) {                 emit receiveFaceFeature(imgName, feature, msec);                 if (file.open(QFile::WriteOnly)) {                     QStringList list;                     foreach (float fea, feature) {                         list.append(QString::number(fea));                     }                       qDebug() << TIMEMS << "writeFaceFeature" << txtName;                       file.write(list.join(",").toLatin1());                     file.close();                 }             }         }           features.append(feature);         msleep(1);     }       qDebug() << TIMEMS << "getFaceFeatures finsh";     emit receiveFaceFeatureFinsh(); }   bool FaceBaiDuLocal::getFaceRect(const QString &flag, const QImage &img, QRect &rect, int &msec) {     //qDebug() << TIMEMS << flag << "getFaceRect";       QTime time;     if (countTime) {         time.start();     }       faces->clear();     QByteArray imageData = getImageData(img);     int result = api->track_max_face(faces, imageData.constData(), 1);       if (result == 1) {         TrackFaceInfo info = faces->at(0);         FaceInfo ibox = info.box;         float width = ibox.mWidth;         float x = ibox.mCenter_x;         float y = ibox.mCenter_y;           rect = QRect(x - width / 2, y - width / 2, width, width);         if (countTime) {             msec = time.elapsed() - delayms;         } else {             msec = delayms;         }           msec = msec < 0 ? 0 : msec;         return true;     } else {         return false;     }       return false; }   bool FaceBaiDuLocal::getFaceLive(const QString &flag, const QImage &img, float &result, int &msec) {     //qDebug() << TIMEMS << flag << "getFaceLive";       QTime time;     if (countTime) {         time.start();     }       result = 0;     QByteArray imageData = getImageData(img);     std::string value = api->rgb_liveness_check(imageData.constData(), 1);       QString data = value.c_str();     data = data.replace("\t", "");     data = data.replace("\"", "");     data = data.replace(" ", "");       int index = -1;     QStringList list = data.split("\n");     foreach (QString str, list) {         index = str.indexOf("score:");         if (index >= 0) {             result = str.mid(6, 4).toFloat();             break;         }     }       if (index >= 0) {         if (countTime) {             msec = time.elapsed() - delayms;         } else {             msec = delayms;         }           msec = msec < 0 ? 0 : msec;         return true;     } else {         return false;     }       return false; }   bool FaceBaiDuLocal::getFaceFeature(const QString &flag, const QImage &img, QList<float> &feature, int &msec) {     //qDebug() << TIMEMS << flag << "getFaceFeature" << img.width() << img.height() << img.size();       QTime time;     if (countTime) {         time.start();     }       const float *fea = nullptr;     QByteArray imageData = getImageData(img);     int result = api->get_face_feature(imageData.constData(), 1, fea);       if (result == 512) {         feature.clear();         for (int i = 0; i < 512; i++) {             feature.append(fea[i]);         }           if (countTime) {             msec = time.elapsed() - delayms;         } else {             msec = delayms;         }           msec = msec < 0 ? 0 : msec;         return true;     } else {         return false;     }       return false; }   float FaceBaiDuLocal::getFaceCompare(const QString &flag, const QList<float> &feature1, const QList<float> &feature2) {     //qDebug() << TIMEMS << flag << "getFaceCompareXXX";       std::vector<float> fea1, fea2;     for (int i = 0; i < 512; i++) {         fea1.push_back(feature1.at(i));         fea2.push_back(feature2.at(i));     }       float result = api->compare_feature(fea1, fea2);     //过滤非法的值     result = result > 100 ? 0 : result;     return result; }   bool FaceBaiDuLocal::getFaceCompare(const QString &flag, const QImage &img1, const QImage &img2, float &result, int &msec) {     //qDebug() << TIMEMS << flag << "getFaceCompare";       result = 0;     bool ok1, ok2;     QList<float> feature1, feature2;     int msec1, msec2;     QString flag1, flag2;     if (flag.contains("|")) {         QStringList list = flag.split("|");         flag1 = list.at(0);         flag2 = list.at(1);     } else {         flag1 = flag;         flag2 = flag;     }       QTime time;     if (countTime) {         time.start();     }       ok1 = getFaceFeature(flag1, img1, feature1, msec1);     if (ok1) {         emit receiveFaceFeature(flag1, feature1, msec1);     }       ok2 = getFaceFeature(flag2, img2, feature2, msec2);     if (ok2) {         emit receiveFaceFeature(flag2, feature2, msec2);     }       if (ok1 && ok2) {         result = getFaceCompare(flag, feature1, feature2);           if (countTime) {             msec = time.elapsed() - delayms;         } else {             msec = delayms;         }           msec = msec < 0 ? 0 : msec;         return true;     } else {         return false;     }       return false; }   void FaceBaiDuLocal::getFaceOne(const QString &flag, const QImage &img, QString &targetName, float &result) {     QList<float> feature;     int msec;     bool ok = getFaceFeature(flag, img, feature, msec);     if (ok) {         emit receiveFaceFeature(flag, feature, msec);         getFaceOne(flag, feature, targetName, result);     } }   void FaceBaiDuLocal::getFaceOne(const QString &flag, const QList<float> &feature, QString &targetName, float &result) {     //用当前图片的特征与特征数据库比对     result = 0;     int count = imgNames.count();     for (int i = 0; i < count; i++) {         QString imgName = imgNames.at(i);         float currentResult = getFaceCompare(flag, feature, features.at(i));         //qDebug() << TIMEMS << "getFaceOne" << imgName << currentResult;           if (currentResult > result) {             result = currentResult;             targetName = imgName;         }     }       qDebug() << TIMEMS << "getFaceOne result" << targetName << result; }   void FaceBaiDuLocal::appendFace(const QString &flag, const QImage &img, const QString &txtFile) {     QList<float> feature;     int msec;       QImage image = img;     bool ok = getFaceFeature(flag, image, feature, msec);     msleep(100);       qDebug() << TIMEMS << "getFaceFeature result" << ok << "appendFace" << txtFile;       if (ok) {         emit receiveFaceFeature(flag, feature, msec);           //保存txt文件         QFile file(txtFile);         if (file.open(QFile::WriteOnly)) {             QStringList list;             foreach (float fea, feature) {                 list.append(QString::number(fea));             }               file.write(list.join(",").toLatin1());             file.close();         }           //保存图片文件         QString imgName = txtFile;         imgName = imgName.replace("txt", "jpg");         image.save(imgName, "jpg");           imgNames.append(QFileInfo(imgName).fileName());         features.append(feature);     } }   void FaceBaiDuLocal::deleteFace(const QString &flag) {     //从图片名称中找到标识符     int index = imgNames.indexOf(flag);     if (index >= 0) {         imgNames.removeAt(index);         features.removeAt(index);           //删除图片文件         QString imgFileName = QString("%1/face/%2.jpg").arg(qApp->applicationDirPath()).arg(flag);         QFile imgFile(imgFileName);         imgFile.remove();         qDebug() << TIMEMS << "delete faceImage" << imgFileName;           //删除特征文件         QString txtFileName = QString("%1/face/%2.txt").arg(qApp->applicationDirPath()).arg(flag);         QFile txtFile(txtFileName);         txtFile.remove();         qDebug() << TIMEMS << "delete faceTxt" << txtFileName;     } }