I am new to Qt and OpenCV and need help with the following problem.
I am developing a code to count vehicles coming to a park. Pre-obtained input video is used to develop the algorithm. I have chosen a Qt widget application with OpenCV for this. Currently when compiling, the loop below is skipped.
for( ; contour != 0; contour = contour->h_next )
{
bndRect = cvBoundingRect(contour, 0);
ui->txtXYnew->appendPlainText("one contour");
pt1.x = bndRect.x;
pt1.y = bndRect.y;
pt2.x = bndRect.x + bndRect.width;
pt2.y = bndRect.y + bndRect.height;
printf("--------------------\n");
cvRectangle(newImage, pt1, pt2, CV_RGB(255,0,0), 1);
}
and the compilation moves to the next section. Why is that, am I using the timer function wrong ? (I have tested this in a console application and it worked fine both Qt and Visual Studio).
I have used two labels, one to display the input frame, and the second for the processed frame. Currently in the processed frame a black frame is shown. but it should show the processed frame with rectangles drawn around contours.
Is there any way to correct this code ? Below is the complete code.
#include "dialog.h"
#include "ui_dialog.h"
#include <QtCore>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv/cv.h>
using namespace cv;
using namespace std;
Dialog::Dialog(QWidget *parent) :QDialog(parent), ui(new Ui::Dialog)
{
ui->setupUi(this);
inputMovie = cvCaptureFromAVI("E:\\pk.avi");
if (!inputMovie){
ui->txtXYnew->appendPlainText("error video");
return;
}
tmrTimer=new QTimer(this);
connect(tmrTimer,SIGNAL(timeout()),this,SLOT(processedframesandudateGUI()));
tmrTimer->start(25);
}
//////////////////////////////////////////////////////////////////////////////////
Dialog::~Dialog()
{
delete ui;
}
/////////////////////////////////////////////////////////////////////////////////
void Dialog::processedframesandudateGUI(){
CvRect bndRect = cvRect(0,0,0,0);
CvPoint pt1, pt2;
CvSize imgSize;
imgSize.width = 540;
imgSize.height = 432;
greyImage = cvCreateImage( imgSize, IPL_DEPTH_8U, 1);
movingAverage = cvCreateImage( imgSize, IPL_DEPTH_32F, 3);
colourImage = cvQueryFrame(inputMovie);
bool first = true;
if(!colourImage)
{ ui->txtXYnew->appendPlainText("no frames");
return;}
if(first)
{
difference = cvCloneImage(colourImage);
temp = cvCloneImage(colourImage);
cvConvertScale(colourImage, movingAverage, 1.0, 0.0);
first = false;
}
cvConvertScale(movingAverage, temp, 1.0, 0.0);
cvAbsDiff(colourImage,temp,difference);
cvCvtColor(difference, greyImage, CV_RGB2GRAY);
cvThreshold(greyImage,greyImage, 70, 255, CV_THRESH_BINARY);
newImage = cvCloneImage(colourImage);
cvDilate(greyImage, greyImage, 0, 18);
cvErode(greyImage, greyImage, 0, 10);
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contour = 0;
ui->txtXYnew->appendPlainText("contour");
printf("******\n");
cvFindContours( greyImage, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
for( ; contour != 0; contour = contour->h_next )
{
bndRect = cvBoundingRect(contour, 0);
ui->txtXYnew->appendPlainText("one contour");
pt1.x = bndRect.x;
pt1.y = bndRect.y;
pt2.x = bndRect.x + bndRect.width;
pt2.y = bndRect.y + bndRect.height;
printf("--------------------\n");
cvRectangle(newImage, pt1, pt2, CV_RGB(255,0,0), 1);
}
printf("here\n");
cvCvtColor(colourImage, colourImage, CV_BGR2RGB);
QImage qimgOriginal((uchar*)colourImage->imageData,colourImage->width, colourImage->height, colourImage->widthStep, QImage::Format_RGB888);
QImage qimgProcessed((uchar*)newImage->imageData,newImage->width, newImage->height, newImage->widthStep, QImage::Format_RGB888);
ui->label->setPixmap(QPixmap::fromImage(qimgOriginal));
ui->label->resize(ui->label->pixmap()->size());
ui->txtXYnew->appendPlainText("one frame");
ui->label_2->setPixmap(QPixmap::fromImage(qimgProcessed));
ui->label_2->resize(ui->label_2->pixmap()->size());
cvReleaseImage(&temp);
cvReleaseImage(&difference);
cvReleaseImage(&greyImage);
cvReleaseImage(&movingAverage ...
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