Hi all,
I am working on a school project with OpenCV. A major part of the program will be a comparison of histograms. There will be a database of histograms and new histograms will be created from a live video feed then compared to the histograms in the database. Right now I am just trying to get the histograms created correctly from the video feed. My problem is that the program crashes or slows down dramatically at random intervals. So my question is how do I prevent the program from crashing or slowing down? OpenCV has always been kind of flaky for me, so I'm not sure if it is an issue with my code or if it is just the nature of OpenCV. If it is to do with my code I think the issue might have something to do with the frame rates (a guess/gut feeling). I am useing "cvWaitKey" to "pace" the loading of frames, but the "Learning OpenCV" book has this to say about "cvWaitKey"
c = cvWaitKey(33); if( c == 27 ) break; Once we have displayed the frame, we then wait for 33 ms. If the user hits a key, then c will be set to the ASCII value of that key; if not, then it will be set to –1. If the user hits the Esc key (ASCII 27), then we will exit the read loop. Otherwise, 33 ms will pass and we will just execute the loop again. It is worth noting that, in this simple example, we are not explicitly controlling the speed of the video in any intelligent way. We are relying solely on the timer in cvWaitKey() to pace the loading of frames. In a more sophisticated application it would be wise to read the actual frame rate from the CvCapture structure (from the AVI) and behave accordingly!
You will see in my code below (modified from here) that I my loop waits 10ms before starting the next execution. Often times the program will run with no issues at all, but sometimes it will crash less than a minute in, or five minutes in, there really is not pattern that I can detect. Any suggestions on how this crash( or slow down) can be prevented would be welcomed. Also I should add that I am using OpenCV 1.1 (can't ever get OpenCV 2.0 to work right), I am using Visual Studio 2008, and I create an .MSI installer package everytime I modify my code, that is, I do not debug in Visual Studio. Dependencies are cv110.dll, cxcore110.dll, and highgui110.dll. My code is below:
// SLC (Histogram).cpp : Defines the entry point for the console application.
#include "stdafx.h"
#include <cxcore.h>
#include <cv.h>
#include <cvaux.h>
#include <highgui.h>
#include <stdio.h>
#include <sstream>
#include <iostream>
using namespace std;
int main(){
CvCapture* capture = cvCaptureFromCAM(0);
if(!cvQueryFrame(capture)){
cout<<"Video capture failed, please check the camera."<<endl;
}
else{
cout<<"Video camera capture successful!"<<endl;
};
CvSize sz = cvGetSize(cvQueryFrame(capture));
IplImage* image = cvCreateImage(sz, 8, 3);
IplImage* imgHistogram = 0;
IplImage* gray = 0;
CvHistogram* hist;
cvNamedWindow("Image Source",1);
cvNamedWindow("Histogram",1);
for(;;){
image = cvQueryFrame(capture);
//Size of the histogram -1D histogram
int bins = 256;
int hsize[] = {bins};
//Max and min value of the histogram
float max_value = 0, min_value = 0;
//Value and normalized value
float value;
int normalized;
//Ranges - grayscale 0 to 256
float xranges[] = {0, 256};
float* ranges[] = {xranges};
//Create an 8 bit single channel image to hold a grayscale version of the original picture
gray = cvCreateImage(cvGetSize(image), 8, 1);
cvCvtColor(image, gray, CV_BGR2GRAY);
//Planes to obtain the histogram, in this case just one
IplImage* planes[] = {gray};
//Get the histogram and some info about it
hist = cvCreateHist(1, hsize, CV_HIST_ARRAY, ranges,1);
cvCalcHist(planes, hist, 0, NULL);
cvGetMinMaxHistValue(hist, &min_value, &max_value);
printf("Minimum Histogram Value: %f, Maximum Histogram Value: %f\n", min_value, max_value);
//Create an 8 bits single channel image to hold the histogram and paint it white
imgHistogram = cvCreateImage(cvSize(bins, 50),8,3);
cvRectangle(imgHistogram, cvPoint(0,0), cvPoint(256,50), CV_RGB(255,255,255),-1);
//Draw the histogram
for(int i=0; i < bins; i++){
value = cvQueryHistValue_1D(hist, i);
normalized = cvRound(value*50/max_value);
cvLine(imgHistogram,cvPoint(i,50), cvPoint(i,50-normalized), CV_RGB(0,0,0));
}
cvFlip(image, NULL, 1);
cvShowImage("Image Source", image);
cvShowImage("Histogram", imgHistogram);
//Page 19 paragraph 3 of "Learning OpenCV" tells us why we DO NOT use "cvReleaseImage(&image)" in this section
cvReleaseImage(&imgHistogram);
cvReleaseImage(&gray);
cvReleaseHist(&hist);
char c = cvWaitKey(10);
//if ASCII key 27 (esc) is pressed then loop breaks
if(c==27) break;
}
cvReleaseImage(&image);
cvReleaseCapture(&capture);
cvDestroyAllWindows();
}