基于Tiny6410下QT的人脸识别程序

#include "widget.h" #include "ui_widget.h" #include <QTimer> #include <QMessageBox> static CvMemStorage* storage = 0; static CvHaarClassifierCascade* cascade = 0; const char* cascade_name = "haarcascade_frontalface_alt2.xml"; Widget::Widget(QWidget *parent) : QWidget(parent), ui(new Ui::Widget) { ui->setupUi(this); } Widget::~Widget() { delete ui; } void Widget::changeEvent(QEvent *e) { QWidget::changeEvent(e); switch (e->type()) { case QEvent::LanguageChange: ui->retranslateUi(this); break; default: break; } } void Widget::flush(void) { Video->FetchPicture(); frame = new QImage(Video->Addr,320,240,QImage::Format_RGB16); frame->loadFromData((unsigned char*)Video->Addr,320*240*2*sizeof(char)); ui->label->setPixmap(QPixmap::fromImage(*frame,Qt::AutoColor)); } void Widget::do_capture() { int video_rd = -1; unsigned long dataSize = 0; unsigned short rgb565Data[WIDTH*HEIGHT]; unsigned char rgb24Data[WIDTH*HEIGHT*2]; if(Video->fd>0) { dataSize = WIDTH*HEIGHT ; video_rd = read(Video->fd,rgb565Data,dataSize*2); if(video_rd<0) QMessageBox::warning(this,tr("Read Waining"),tr("Read Error")); fflush(stdout); Video->rgb565Torgb24(rgb565Data,WIDTH,HEIGHT,rgb24Data); Video->setBmpHeader(rgb24Data,WIDTH,HEIGHT,"EIB.bmp"); fflush(stdout); } } void Widget::do_Process() { cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); storage = cvCreateMemStorage(0); IplImage *img = cvLoadImage("EIB.bmp",1); if (img) { detect_and_draw( img ); //cvWaitKey(0); //cvReleaseImage( &img ); } } void Widget::on_pushButton_clicked() { timer=new QTimer(this); connect(timer,SIGNAL(timeout()),this,SLOT(flush())); timer->start(30); Video = new TVideo("/dev/camera"); frame = new QImage(Video->Addr,320,240,QImage::Format_RGB16); //FrameBuffer = new TFrameBuffer; } void Widget::on_capButton_clicked() { do_capture(); } void Widget::on_exitButton_clicked() { Video->closefd(); free(Video->Addr); ui->label->clear(); timer->stop(); } void Widget::on_pushPROCESSButton_clicked() { do_Process(); } void Widget::detect_and_draw( IplImage* img ) { static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}}, {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{0,255,0}}, {{255,0,255}} }; double scale = 2; //建立一个空的灰度图 IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); //建立一个空圆形的灰度图 IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale), cvRound (img->height/scale)), 8, 1 ); int i; //图像转换RGB模式转为灰度图 cvCvtColor( img, gray, CV_BGR2GRAY ); cvResize( gray, small_img, CV_INTER_LINEAR ); cvEqualizeHist( small_img, small_img ); cvClearMemStorage( storage ); if( cascade ) { double t = (double)cvGetTickCount(); CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage, 1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/, cvSize(30, 30) ); t = (double)cvGetTickCount() - t; printf( "detection time = %gms/n", t/((double)cvGetTickFrequency()*1000.) ); for( i = 0; i < (faces ? faces->total : 0); i++ ) { CvRect* r = (CvRect*)cvGetSeqElem( faces, i ); CvPoint center; int radius; center.x = cvRound((r->x + r->width*0.5)*scale); center.y = cvRound((r->y + r->height*0.5)*scale); radius = cvRound((r->width + r->height)*0.25*scale); //cvCircle( img, center, radius, colors[i%8], 3, 8, 0 ); cvRectangle(img,cvPoint(center.x-radius,center.y-radius),cvPoint(center.x+radius,center.y+radius),colors[i%8],3,8,0); //cvRect(center.x-radius,center.y-radius,center.x+radius,center.y+radius); } } cvCvtColor(img,img,CV_BGR2RGB); unsigned char *imgData=(unsigned char *)img->imageData; QImage image(imgData,img->width,img->height,QImage::Format_RGB888); ui->label_2->setPixmap(QPixmap::fromImage(image)); ui->label_2->show(); //cvShowImage( "result", img ); cvReleaseImage( &gray ); cvReleaseImage( &small_img ); }