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使用opencv和qt进行人脸检测(Face detection using opencv and qt)

 我正在尝试使用opencv和qt实现实时人脸检测程序。代码是mainwindow.h 
 

 #include <QMainWindow>
 #include <opencv/cv.h>
 #include <opencv/highgui.h>
 #include <QLabel>

 namespace Ui {
 class MainWindow;
 }

 class MainWindow : public QMainWindow
  {
   Q_OBJECT
   public:
 explicit MainWindow(QWidget *parent = 0);
~MainWindow();
Ui::MainWindow* _ui;
CvCapture* _capture;
IplImage*       _img;
CvHaarClassifierCascade* _cascade;
CvMemStorage*   _storage;
QList<CvScalar>  _colors;
QPixmap*         _pixmap;
QTimer*          _timer;
QLabel* labelCapture;
private slots:
void on_actionCapture_triggered();
 };
//#endif // MAINWINDOW_H

 

 main.cpp中 
 

  #include <QtGui/QApplication>
  #include "mainwindow.h"

   int main(int argc, char *argv[])
  {
   QApplication a(argc, argv);
   MainWindow w;
    w.show();

   return a.exec();
    }

 

 mainwindow.cpp 
 

    #include "mainwindow.h"
    #include "ui_mainwindow.h"
    #include "opencv/cv.h"
    #include "opencv/highgui.h"
    #include "opencv/cvaux.h"
    #include <QTimer>
    #include <QLabel>

    MainWindow::MainWindow(QWidget *parent) :
  QMainWindow(parent),
  _ui(new Ui::MainWindow)
  {
_ui->setupUi(this);
QLabel* labelCapture;
_capture = cvCaptureFromCAM( 0 );
_cascade = (CvHaarClassifierCascade*)cvLoad("haarcascade_frontalface_alt2.xml");
_storage = cvCreateMemStorage(0);

_colors << cvScalar(0.0,0.0,255.0) << cvScalar(0.0,128.0,255.0)
        << cvScalar(0.0,255.0,255.0) << cvScalar(0.0,255.0,0.0)
        << cvScalar(255.0,128.0,0.0) << cvScalar(255.0,255.0,0.0)
        << cvScalar(255.0,0.0,0.0) << cvScalar(255.0,0.0,255.0);

  _timer = new QTimer(this);
  connect(_timer, SIGNAL(timeout()), this, SLOT(on_actionCapture_triggered()));
  _timer->start(10);
  labelCapture=new QLabel();
   }

  MainWindow::~MainWindow()
  {
cvReleaseImage(&_img);
cvReleaseCapture(&_capture);
delete _ui;
  }

   void MainWindow::on_actionCapture_triggered()
   {
// Query camera for next frame
_img = cvQueryFrame( _capture );

if (_img)
{
    // Detect objects
    cvClearMemStorage( _storage );

    CvSeq* objects = cvHaarDetectObjects(_img,
                                         _cascade,
                                         _storage,
                                         1.1,
                                         3,
                                         CV_HAAR_DO_CANNY_PRUNING,
                                         cvSize( 100, 100 ));

    int n = (objects ? objects->total : 0);

    CvRect* r;
    // Loop through objects and draw boxes
    for( int i = 0; i < n; i++ )
    {
        r = ( CvRect* )cvGetSeqElem( objects, i );
        cvRectangle( _img,
                     cvPoint( r->x, r->y ),
                     cvPoint( r->x + r->width, r->y + r->height ),
                     _colors[i%8]
                    );
    }

    // Convert IplImage to QImage
    QImage image = QImage((const uchar *)_img->imageData,
                                         _img->width,
                                         _img->height,
                                         QImage::Format_RGB888).rgbSwapped();
    _pixmap = new QPixmap(QPixmap::fromImage(image));
     _ui->labelCapture->setPixmap(*_pixmap);
   }
   }

 

 但我得到以下错误...在函数on_action_capture_triggered（）类ui :: mainWindow没有名为'labelCapture'的成员请帮助.... 

I am trying to implement a real time face detection program using opencv and qt.The code is mainwindow.h
 

 #include <QMainWindow>
 #include <opencv/cv.h>
 #include <opencv/highgui.h>
 #include <QLabel>

 namespace Ui {
 class MainWindow;
 }

 class MainWindow : public QMainWindow
  {
   Q_OBJECT
   public:
 explicit MainWindow(QWidget *parent = 0);
~MainWindow();
Ui::MainWindow* _ui;
CvCapture* _capture;
IplImage*       _img;
CvHaarClassifierCascade* _cascade;
CvMemStorage*   _storage;
QList<CvScalar>  _colors;
QPixmap*         _pixmap;
QTimer*          _timer;
QLabel* labelCapture;
private slots:
void on_actionCapture_triggered();
 };
//#endif // MAINWINDOW_H

 

main.cpp
 

  #include <QtGui/QApplication>
  #include "mainwindow.h"

   int main(int argc, char *argv[])
  {
   QApplication a(argc, argv);
   MainWindow w;
    w.show();

   return a.exec();
    }

 

mainwindow.cpp
 

    #include "mainwindow.h"
    #include "ui_mainwindow.h"
    #include "opencv/cv.h"
    #include "opencv/highgui.h"
    #include "opencv/cvaux.h"
    #include <QTimer>
    #include <QLabel>

    MainWindow::MainWindow(QWidget *parent) :
  QMainWindow(parent),
  _ui(new Ui::MainWindow)
  {
_ui->setupUi(this);
QLabel* labelCapture;
_capture = cvCaptureFromCAM( 0 );
_cascade = (CvHaarClassifierCascade*)cvLoad("haarcascade_frontalface_alt2.xml");
_storage = cvCreateMemStorage(0);

_colors << cvScalar(0.0,0.0,255.0) << cvScalar(0.0,128.0,255.0)
        << cvScalar(0.0,255.0,255.0) << cvScalar(0.0,255.0,0.0)
        << cvScalar(255.0,128.0,0.0) << cvScalar(255.0,255.0,0.0)
        << cvScalar(255.0,0.0,0.0) << cvScalar(255.0,0.0,255.0);

  _timer = new QTimer(this);
  connect(_timer, SIGNAL(timeout()), this, SLOT(on_actionCapture_triggered()));
  _timer->start(10);
  labelCapture=new QLabel();
   }

  MainWindow::~MainWindow()
  {
cvReleaseImage(&_img);
cvReleaseCapture(&_capture);
delete _ui;
  }

   void MainWindow::on_actionCapture_triggered()
   {
// Query camera for next frame
_img = cvQueryFrame( _capture );

if (_img)
{
    // Detect objects
    cvClearMemStorage( _storage );

    CvSeq* objects = cvHaarDetectObjects(_img,
                                         _cascade,
                                         _storage,
                                         1.1,
                                         3,
                                         CV_HAAR_DO_CANNY_PRUNING,
                                         cvSize( 100, 100 ));

    int n = (objects ? objects->total : 0);

    CvRect* r;
    // Loop through objects and draw boxes
    for( int i = 0; i < n; i++ )
    {
        r = ( CvRect* )cvGetSeqElem( objects, i );
        cvRectangle( _img,
                     cvPoint( r->x, r->y ),
                     cvPoint( r->x + r->width, r->y + r->height ),
                     _colors[i%8]
                    );
    }

    // Convert IplImage to QImage
    QImage image = QImage((const uchar *)_img->imageData,
                                         _img->width,
                                         _img->height,
                                         QImage::Format_RGB888).rgbSwapped();
    _pixmap = new QPixmap(QPixmap::fromImage(image));
     _ui->labelCapture->setPixmap(*_pixmap);
   }
   }

 

But iam getting the following error... On function on_action_capture_triggered() class ui::mainWindow has no member named ‘labelCapture’ pls help....

原文：https://stackoverflow.com/questions/15324596
更新时间：2023-08-25 15:08

最满意答案

 得到了解决方案..！ 
 

 我在R中使用了“Shiny”库。这将r脚本转换为app，然后可以使用简单的http请求从asp.net调用。 

Got the solution..!
 

I used "Shiny" a library in R. This converts the r script into an app which can then be called from asp.net using simple http request.

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