QT+OpenCV识别人脸并提取识别到的人脸图像.zip

#include "widget.h" #include "ui_widget.h" class VideoAudioEncode videoaudioencode_0; Widget::Widget(QWidget *parent) : QWidget(parent) , ui(new Ui::Widget) { ui->setupUi(this); //驾驶室摄像头 //工作对象 videoRead_WorkClass_0=new VideoReadThread_0; videoRead_Workthread_0=new QThread; //连接摄像头采集信号,在主线程实时显示视频画面 connect(videoRead_WorkClass_0,SIGNAL(VideoDataOutput(QImage )),this,SLOT(VideoDataDisplay_0(QImage ))); //摄像头初始化函数 connect(this,SIGNAL(Init_VideoAudio_WorkClass_0()),videoRead_WorkClass_0,SLOT(run())); //停止视频采集 connect(this,SIGNAL(Stop_AudioVideo0_work_0()),videoRead_WorkClass_0,SLOT(stop())); //将工作对象移动到子线程里工作 videoRead_WorkClass_0->moveToThread(videoRead_Workthread_0); //更新设备列表 UpdateVideoAudiodDevice(ui->comboBox_video_0,ui->plainTextEdit_log_0); QTimer::singleShot(100, this, SLOT(update())); } Widget::~Widget() { delete ui; } //人脸检测代码 void Widget::opencv_face(QImage qImage) { QTime time; time.start(); //定义级联分类器 CascadeClassifier face_cascade; //加载分类文件 if( !face_cascade.load("C:/OpenCV_3.4.7/OpenCV-MinGW-Build-OpenCV-3.4.7/etc/haarcascades/haarcascade_frontalface_alt.xml") ) { Log_Display_0("haarcascade_frontalface_alt.xml 分类器加载错误.\n"); return; } Mat frame=QImage2cvMat(qImage); cvtColor( frame, frame, COLOR_BGR2GRAY );//转换成灰度图像 std::vector<Rect> faces; //正脸检测 face_cascade.detectMultiScale(frame,faces,1.1,3,0,Size(50,50),Size(500,500)); Log_Display_0(tr("耗时:%1 ms 人脸:%2\n").arg(time.elapsed()).arg(faces.size())); ui->lcdNumber->display((int)faces.size()); for ( size_t i = 0; i < faces.size(); i++ ) { #if 1 Point center(faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2); ellipse(frame, center, Size( faces[i].width/2, faces[i].height/2 ), 0, 0, 360, Scalar( 255, 0, 255 ), 4 ); rectangle(frame, cvPoint(cvRound(faces[i].x), cvRound(faces[i].y)), cvPoint(cvRound((faces[i].x + faces[i].width-1)), cvRound((faces[i].y + faces[i].height-1))), Scalar(255, 255, 255), 3, 8, 0); #endif //提取人脸 Mat frame1; for(size_t i=0;i<faces.size();i++) { Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2); frame1= frame(Rect(faces[i].x, faces[i].y, faces[i].width, faces[i].height)); } /*在控件上显示人脸*/ ui->label_face_display->setPixmap(QPixmap::fromImage(Mat2QImage(frame1))); } /*在控件上显示*/ QImage display_image=Mat2QImage(frame); ui->label_display->setPixmap(QPixmap::fromImage(display_image)); } Mat Widget::QImage2cvMat(QImage image) { Mat mat; switch(image.format()) { case QImage::Format_ARGB32: case QImage::Format_RGB32: case QImage::Format_ARGB32_Premultiplied: mat = Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine()); break; case QImage::Format_RGB888: mat = Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine()); cvtColor(mat, mat, CV_BGR2RGB); break; case QImage::Format_Indexed8: mat = Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine()); break; } return mat; } QImage cvMat2QImage(const cv::Mat& mat) { } QImage Widget::Mat2QImage(const Mat& mat) { // 8-bits unsigned, NO. OF CHANNELS = 1 if(mat.type() == CV_8UC1) { QImage image(mat.cols, mat.rows, QImage::Format_Indexed8); // Set the color table (used to translate colour indexes to qRgb values) image.setColorCount(256); for(int i = 0; i < 256; i++) { image.setColor(i, qRgb(i, i, i)); } // Copy input Mat uchar *pSrc = mat.data; for(int row = 0; row < mat.rows; row ++) { uchar *pDest = image.scanLine(row); memcpy(pDest, pSrc, mat.cols); pSrc += mat.step; } return image; } // 8-bits unsigned, NO. OF CHANNELS = 3 else if(mat.type() == CV_8UC3) { // Copy input Mat const uchar *pSrc = (const uchar*)mat.data; // Create QImage with same dimensions as input Mat QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888); return image.rgbSwapped(); } else if(mat.type() == CV_8UC4) { // Copy input Mat const uchar *pSrc = (const uchar*)mat.data; // Create QImage with same dimensions as input Mat QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32); return image.copy(); } else { return QImage(); } } //显示检测的结果 void Widget::show_face(IplImage* img) { uchar *imgData=(uchar *)img->imageData; QImage my_image=QImage(imgData,img->width,img->height,QImage::Format_RGB888); my_image=my_image.rgbSwapped(); //BGR格式转RGB QPixmap my_pix; //创建画图类 my_pix.convertFromImage(my_image); /*在控件上显示*/ ui->label_display->setPixmap(my_pix); } //开始采集 void Widget::on_pushButton_Start_clicked() { //设置当前选择的摄像头 videoaudioencode_0.camera=video_dev_list.at(ui->comboBox_video_0->currentIndex()); Stop_VideoAudioEncode_0(true); Start_VideoAudioEncode_Thread_0(); } //析构函数 VideoReadThread_0::~VideoReadThread_0() { } //停止视频采集 void VideoReadThread_0::stop() { qDebug()<<"停止视频采集--stop"; if(camera) { camera->stop(); delete camera; camera=nullptr; } if(m_pProbe) { delete m_pProbe; m_pProbe=nullptr; } } //执行线程 void VideoReadThread_0::run() { stop(); Camear_Init(); qDebug()<<"摄像头开始采集数据"; } void VideoReadThread_0::Camear_Init() { /*创建摄像头对象，根据选择的摄像头打开*/ camera = new QCamera(videoaudioencode_0.camera); m_pProbe = new QVideoProbe; if(m_pProbe != nullptr) { m_pProbe->setSource(camera); // Returns true, hopefully. connect(m_pProbe, SIGNAL(videoFrameProbed(QVideoFrame)),this, SLOT(slotOnProbeFrame(QVideoFrame)), Qt::QueuedConnection); } /*配置摄像头捕 QCamera *camera; QVideoProbe *m_pProbe;获模式为帧捕获模式*/ //camera->setCaptureMode(QCamera::CaptureStillImage); //如果在Linux系统下运行就这样设置 camera->setCaptureMode(QCamera::CaptureVideo);//如果在android系统下运行就这样设置 /*启动摄像头*/ camera->start(); /*设置摄像头的采集帧率和分辨率*/ QCameraViewfinderSettings settings; // settings.setPixelFormat(QVideoFrame::Format_YUYV); //设置像素格式 Android上只支持NV21格式 settings.setResolution(QSize(VIDEO_WIDTH,VIDEO_HEIGHT)); //设置摄像头的分辨率 camera->setViewfinderSettings(settings); } /* 函数功能: 将YUV数据转为RGB格式 函数参数: unsigned char *yuv_buffer: YUV源数据 unsigned char *rgb_buffer: 转换之后的RGB数据 int iWidth,int iHeight : 图像的宽度和高度 */ void yuyv_to_rgb(unsigned char *yuv_buffer,unsigned char *rgb_buffer,int iWidth,int iHeight) { int x; int z=0; unsigned char *ptr = rgb_buffer; unsigned char *yuyv= yuv_buffer; for (x = 0; x < iWidth*iHeight; x++) { int r, g, b; int y, u, v; if (!z) y = yuyv[0] << 8; else y = yuyv[2] << 8; u = yuyv[1] - 128; v = yuyv[3] - 128; r = (y + (359 * v)) >> 8; g = (y - (88 * u) -