I am running the following code on Visual C++ 2008 and OpenCV 2.1. It works for a while (say 3 minutes) and then aborts with an error saying
"Insufficient Memory (Failed to allocate 92610 bytes) in unknown function, file ........\ocv\opencv\src\cxcore\cxalloc.cpp, line 52"
There must be some memory leak somewhere (probably with image creation) but I can't seem to get hold of it.
#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include <iostream>
#include <math.h>
using namespace std;
void main()
{
int i, j;
int **arr = new int*[480], blob[6][8]={0};
int max, maxi=-10, maxj=-10, div=80;
int xmax=480, ymax=640;
int frameH, frameW, fps, numFrames;
double hue, sat, lum;
int maxcolor, mincolor, maxcolval, mincolval;
char key='a';
CvScalar pix, destpix, destpix2, destpix3;
IplImage *img, *dest, *hsv;
for(i=0; i<480; i++)
arr[i] = new int[640];
CvCapture *capture = cvCaptureFromCAM(0);
if(!capture)
{
cout<<"Cannot read video!!!!";
exit(0);
}
frameH = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT);
frameW = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH);
fps = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FPS);
numFrames = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_COUNT);
printf("Width=%d Height=%d FPS=%d Count=%d\n", frameH, frameW, fps, numFrames);
cvNamedWindow("win1", CV_WINDOW_AUTOSIZE);
cvMoveWindow("win1", 10, 10);
cvNamedWindow("win2", CV_WINDOW_AUTOSIZE);
cvMoveWindow("win2", 600, 300);
destpix.val[0]=0;
destpix.val[1]=255;
destpix.val[2]=0;
destpix2.val[0]=0;
destpix2.val[1]=0;
destpix2.val[2]=0;
destpix3.val[0]=255;
destpix3.val[1]=255;
destpix3.val[2]=255;
while(key != 'q')
{
max=0;
maxi=-10;
maxj=-10;
img = cvQueryFrame(capture);
if(img == 0)break;
dest = cvCloneImage(img);
hsv = cvCloneImage(img);
cvCvtColor(img, hsv, CV_BGR2HSV);
for(i=0; i<xmax; i++)
for(j=0; j<ymax; j++)
{
arr[i][j]=0;
blob[i/div][j/div]=0;
}
cout<<endl<<cvGet2D(hsv, 5, 5).val[0];
//Looping through each pixel
for(i=0; i<xmax; i++)
{
for(j=0; j<ymax; j++)
{
//Getting the current pixel (i, j)
pix = cvGet2D(hsv, i, j);
//Setting all pixels to black
cvSet2D(dest, i, j, destpix2);
hue = pix.val[0];
sat = pix.val[1];
lum = pix.val[2];
//Looking for color red
if((hue<5 || hue>177) && sat>120 && lum>60)
{
arr[i][j] = 1;
cvSet2D(dest, i, j, destpix);
}
/*//Looking for color green
if((hue>90 && hue<100) && sat>120 && lum>60)
{
arr[i][j] = 1;
cvSet2D(dest, i, j, destpix);
}*/
/*//Looking for color blue
if((hue>100 && hue<110) && sat>120 && lum>60)
{
arr[i][j] = 1;
cvSet2D(dest, i, j, destpix);
}*/
/*//Looking for color yellow
if((hue>30 && hue<40) && sat>120 && lum>60)
{
arr[i][j] = 1;
cvSet2D(dest, i, j, destpix);
}*/
}
}
//Counting the blobs in each grid
for(i=0; i<xmax; i++)
{
for(j=0; j<ymax; j++)
{
if(arr[i][j])
{
blob[i/div][j/div]++;
}
}
}
//Finding the grid with the largest blob
for(i=0; i<xmax/div; i++)
for(j=0; j<ymax/div; j++)
if(blob[i][j]>max)
{
max=blob[i][j];
maxi=i;
maxj=j;
}
if(max>200)
{
//Borders
for(i=maxi*div; i<maxi*div+2; i++)
for(j=maxj*div; j<maxj*div+div; j++)
cvSet2D(dest, i, j, destpix3);
for(i=maxi*div+div-2; i<maxi*div+div; i++)
for(j=maxj*div; j<maxj*div+div; j++)
cvSet2D(dest, i, j, destpix3);
for(i=maxi*div; i<maxi*div+div; i++)
for(j=maxj*div; j<maxj*div+2; j++)
cvSet2D(dest, i, j, destpix3);
for(i=maxi*div; i<maxi*div+div; i++)
for(j=maxj*div+div-2; j<maxj*div+div; j++)
cvSet2D(dest, i, j, destpix3);
//Center
for(i=maxi*div+(div/2)-5; i<maxi*div+(div/2)+5; i++)
for(j=maxj*div+(div/2)-5; j<maxj*div+(div/2)+5; j++)
cvSet2D(dest, i, j, destpix3);
}
//Creating Windows
//cvCvtColor(fin, dest, CV_HSV2BGR);
key = cvWaitKey(20);
cvShowImage("win1", dest);
cvShowImage("win2", img);
}
cvWaitKey(0);
cvReleaseCapture(&capture);
cvReleaseImage(&dest);
cvDestroyWindow("win1");
cvDestroyWindow("win2");
}