【发布时间】:2015-06-04 01:30:51
【问题描述】:
我正在尝试在屏幕上显示来自摄像头的实时信息,该摄像头将显示检测到的面孔。但是我不断得到:
QMetaObject::connectSlotsByName: No matching signal for On_actionCapture_triggered()
我在没有使用 GUI 链接任何插槽或信号的情况下对此进行了编码。我不明白问题出在哪里。
程序运行,然后在应用程序输出框中显示错误。
任何有关问题出在哪里的见解都将不胜感激。
.h 文件是
#ifndef DIALOG_H
#define DIALOG_H
#include <QDialog>
#include <opencv/cv.h>
#include <opencv/highgui.h>
namespace Ui {
class Dialog;
}
class Dialog : public QDialog
{
Q_OBJECT
public:
explicit Dialog(QWidget *parent = 0);
~Dialog();
private slots:
void on_actionCapture_triggered();
private:
Ui::Dialog* _ui;
CvCapture* _capture;
IplImage* _img;
CvHaarClassifierCascade* _cascade;
CvMemStorage* _storage;
QList<CvScalar> _colors;
QPixmap* _pixmap;
QTimer* _timer;
};
cpp文件是:
#endif // DIALOG_H
#include "dialog.h"
#include "ui_dialog.h"
#include "opencv/cv.h"
#include "opencv/highgui.h"
#include "opencv/cvaux.h"
#include <QTimer>
Dialog::Dialog(QWidget *parent) :
QDialog(parent),
_ui(new Ui::Dialog)
{
_ui->setupUi(this);
_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);
}
Dialog::~Dialog()
{
cvReleaseImage(&_img);
cvReleaseCapture(&_capture);
delete _ui;
}
void Dialog::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);
}
}
【问题讨论】:
标签: c++ qt opencv face-detection