C++人脸识别签到考勤系统源码（优质毕业设计项目）.zip

#include "face_model.h" #include<QDebug> #include<QString> #include<QFile> #include<QMessageBox> #include<QCoreApplication> void Person::set_cn_name(QString name) { name_cn = name; } void Person::set_eng_name(QString name) { name_eng = name; } void Person::set_idnum(QString name) { id_num = name; } void Person::set_face_feature(dlib::matrix<float,0,1> features) { face_feature = features; } FaceDetector::FaceDetector() { QString exe_path = QCoreApplication::applicationDirPath(); xml_path = exe_path +"/data/haarcascade_frontalface_alt2.xml"; face_landmarks_path = exe_path + "/data/shape_predictor_68_face_landmarks.dat"; resnet_model_path = exe_path + "/data/dlib_face_recognition_resnet_model_v1.dat"; pic_dir_path = exe_path + "/data/face_info.txt"; dir_path = exe_path + "/data/face_lib"; add_face_batch(pic_dir_path); } bool FaceDetector::add_face(Person person) { qDebug()<<person.name_cn; qDebug()<<person.name_eng; qDebug()<<person.pic_path; // qDebug()<< strList[0]<<strList[1]<<strList[2]<<strList[3]; QString write_txt = person.name_cn + " " + person.name_eng + " " + person.id_num + " " + //person.class_num + " " + person.pic_path.split("/")[person.pic_path.split("/").size()-1] + " "; QFile file(pic_dir_path); if (file.open(QIODevice::ReadWrite | QIODevice::Text)) { QTextStream stream(&file); stream.seek(file.size()); stream <<"\n"<<write_txt; file.close(); } // 构建人脸库信息 Person *person_temp = new Person; person_temp->set_cn_name(person.name_cn); person_temp->set_eng_name(person.name_eng); person_temp->set_idnum(person.id_num); person_temp->class_num = person.class_num; cv::Mat src; cv::Mat frame = cv::imread(person.pic_path.toStdString()); cv::cvtColor(frame, src, cv::COLOR_BGR2GRAY); dlib::array2d<dlib::bgr_pixel> dimg; dlib::assign_image(dimg, dlib::cv_image<uchar>(src)); //haar级联分类器探测人脸区域，获取一系列人脸所在区域 std::vector<cv::Rect> objects; std::vector<dlib::rectangle> dets; face_detector.detectMultiScale(src, objects); for (int i = 0; i < objects.size(); i++) { // cv::rectangle(frame, objects[i], CV_RGB(200,0,0)); dlib::rectangle r(objects[i].x, objects[i].y, objects[i].x + objects[i].width, objects[i].y + objects[i].height); if(r.area()>10000) dets.push_back(r); //正常情况下应该只检测到一副面容 } // if (dets.size() == 0) // continue; std::vector<dlib::matrix<dlib::rgb_pixel>> faces; std::vector<dlib::full_object_detection> shapes; for(int i = 0; i < dets.size(); i++) { dlib::full_object_detection shape = sp(dimg, dets[i]); //获取指定一个区域的人脸形状 shapes.push_back(shape); dlib::matrix<dlib::rgb_pixel> face_chip; dlib::extract_image_chip(dimg, dlib::get_face_chip_details(shape,150,0.25), face_chip); faces.push_back(std::move(face_chip)); } if (faces.size() == 0) { // qDebug()<< "No faces found in " <<person_temp->name_eng<<endl; ;// continue; } std::vector<dlib::matrix<float,0,1>> face_descriptors = net(faces); //qDebug()<<face_descriptors.size(); person_temp->set_face_feature(face_descriptors[0]); fdlib.push_back(*person_temp); } bool FaceDetector::add_face_batch(QString pic_dir_path) { face_detector.load(xml_path.toStdString()); dlib::deserialize(face_landmarks_path.toStdString()) >> sp; dlib::deserialize(resnet_model_path.toStdString()) >> net; QFile file(pic_dir_path); if(!file.open(QIODevice::ReadOnly | QIODevice::Text)) { //qDebug()<<"Can't open the file!"<<endl; } while(!file.atEnd()) { QByteArray line = file.readLine(); QString str(line); QStringList strList = str.split(" "); qDebug()<< strList[0]<<strList[1]<<strList[2]<<strList[3]; // 构建人脸库信息 Person *person_temp = new Person; person_temp->set_cn_name(strList[0]); person_temp->set_eng_name(strList[1]); person_temp->set_idnum(strList[2]); //qDebug()<<person_temp->name_cn<<person_temp->name_eng<<person_temp->id_num; cv::Mat src; std::string path= strList[3].toStdString(); //qDebug()<<"PATH:"<<strList[3]; QString qstr2 = QString::fromStdString(path); //qDebug()<<dir_path + qstr2; cv::Mat frame = cv::imread(dir_path.toStdString()+"/"+path); cv::cvtColor(frame, src, cv::COLOR_BGR2GRAY); // cv::imshow("1",src); // cv::waitKey(2000); dlib::array2d<dlib::bgr_pixel> dimg; dlib::assign_image(dimg, dlib::cv_image<uchar>(src)); //haar级联分类器探测人脸区域，获取一系列人脸所在区域 std::vector<cv::Rect> objects; std::vector<dlib::rectangle> dets; face_detector.detectMultiScale(src, objects); for (int i = 0; i < objects.size(); i++) { // cv::rectangle(frame, objects[i], CV_RGB(200,0,0)); dlib::rectangle r(objects[i].x, objects[i].y, objects[i].x + objects[i].width, objects[i].y + objects[i].height); if(r.area()>10000) dets.push_back(r); //正常情况下应该只检测到一副面容 } if (dets.size() == 0) continue; std::vector<dlib::matrix<dlib::rgb_pixel>> faces; std::vector<dlib::full_object_detection> shapes; for(int i = 0; i < dets.size(); i++) { dlib::full_object_detection shape = sp(dimg, dets[i]); //获取指定一个区域的人脸形状 shapes.push_back(shape); dlib::matrix<dlib::rgb_pixel> face_chip; dlib::extract_image_chip(dimg, dlib::get_face_chip_details(shape,150,0.25), face_chip); faces.push_back(std::move(face_chip)); } if (faces.size() == 0) { // qDebug()<< "No faces found in " <<person_temp->name_eng<<endl; continue; } std::vector<dlib::matrix<float,0,1>> face_descriptors = net(faces); //qDebug()<<face_descriptors.size(); person_temp->set_face_feature(face_descriptors[0]); fdlib.push_back(*person_temp); } } bool FaceDetector::recog_face(cv::Mat &img,Person &person) { cv::Mat src_test; cv::cvtColor(img, src_test, cv::COLOR_BGR2GRAY); dlib::array2d<dlib::bgr_pixel> dimg; dlib::assign_image(dimg, dlib::cv_image<uchar>(src_test)); //haar级联分类器探测人脸区域，获取一系列人脸所在区域 std::vector<cv::Rect> objects; std::vector<cv::Rect> objects_temp; std::vector<dlib::rectangle> dets; face_detector.detectMultiScale(src_test, objects_temp); for(int i = 0;i < objects_temp.size();i++) { if(objects_temp[i].area()<10000) { continue; } objects.push_back(objects_temp[i]); } for (int i = 0; i < objects.size(); i++) { dlib::rectangle r(objects[i].x, objects[i].y, objects[i].x + objects[i].width, objects[i].y + objects[i].height); if(r.area()<10000) { continue; } cv::rectangle(img, objects[i], CV_RGB(200,0,0)); dets.push_back(r); //正常情况下应该只检测到一副面容 } if (dets.size() == 0) { //qDebug()<< "there is no faces found in "<<endl; return false; } std::vector<dlib::matrix<dlib::rgb_pixel>> faces; std::vector<dlib::full_object_detection> shapes; for(int i = 0; i < dets.size(); i++) { dlib::full_object_detection shape =