这里是初学者。我试图检测一个圆和手,并在圆周围画一个圆,在手周围画一个矩形,并将两者显示在同一张图像中。当我运行该程序时,出现一些内存错误,有人可以帮忙吗?
下面是我的代码:
#include "opencv/cv.h"
#include "opencv2\highgui\highgui.hpp"
#include <iostream>
#include <stdio.h>
#include <math.h>
#include <string.h>
#include <conio.h>
using namespace std;
//declarations
IplImage* img = 0;
CvHaarClassifierCascade *cascade;
CvMemStorage *cstorage;
CvMemStorage *hstorage;
void detectObjects( IplImage *img );
int key;
int main( int argc, char** argv )
{
CvCapture *capture;
IplImage *frame;
// loads classifier for hand haar cascade
char *filename = "haarcascade_hand.xml";
cascade = ( CvHaarClassifierCascade* )cvLoad( "haarcascade_hand.xml", 0, 0, 0 );
// setup memory buffer
hstorage = cvCreateMemStorage( 0 );
cstorage = cvCreateMemStorage( 0 );
// initialize camera
capture = cvCaptureFromCAM( 0 );
// always check
//assert( cascade && storage && capture );
// create a window
cvNamedWindow( "Camera", 1 );
while(key!='q') {
// captures frame and check every frame
frame = cvQueryFrame( capture );
if( !frame ) break;
// detect objects and display video
detectObjects (frame );
// quit if user press 'q'
key = cvWaitKey( 10 );
}
// free memory
cvReleaseCapture( &capture );
cvDestroyAllWindows();
cvReleaseHaarClassifierCascade( &cascade );
cvReleaseMemStorage( &cstorage );
cvReleaseMemStorage( &hstorage );
return 0;
}
void detectObjects( IplImage *img )
{
int px;
int py;
int edge_thresh = 1;
IplImage *gray = cvCreateImage( cvSize(640,480), 8, 1 );
IplImage *edge = cvCreateImage( cvSize(640,480), 8, 1 );
// convert video image color
cvCvtColor(img,gray,CV_BGR2GRAY);
// set the converted image's origin
gray->origin=1;
// color threshold
cvThreshold(gray,gray,100,255,CV_THRESH_BINARY);
// smooths out image
cvSmooth(gray, gray, CV_GAUSSIAN, 11, 11);
// get edges
cvCanny(gray, edge, (float)edge_thresh, (float)edge_thresh*3, 5);
// detects circle
CvSeq* circle = cvHoughCircles(gray, cstorage, CV_HOUGH_GRADIENT, 1, gray->height/50, 5, 35);
// draws circle and its centerpoint
float* p = (float*)cvGetSeqElem( circle, 0 );
cvCircle( img, cvPoint(cvRound(p[0]),cvRound(p[1])), 3, CV_RGB(255,0,0), -1, 8, 0 );
cvCircle( img, cvPoint(cvRound(p[0]),cvRound(p[1])), cvRound(p[2]), CV_RGB(200,0,0), 1, 8, 0 );
px=cvRound(p[0]);
py=cvRound(p[1]);
// displays coordinates of circle's center
cout <<"(x,y) -> ("<<px<<","<<py<<")"<<endl;
// detects hand
CvSeq *hand = cvHaarDetectObjects(img, cascade, hstorage, 1.2, 2, CV_HAAR_DO_CANNY_PRUNING, cvSize(100, 100));
// draws red box around hand when detected
CvRect *r = ( CvRect* )cvGetSeqElem( hand, 0 );
cvRectangle( img,
cvPoint( r->x, r->y ),
cvPoint( r->x + r->width, r->y + r->height ),
CV_RGB( 255, 0, 0 ), 1, 8, 0 );
cvShowImage("Camera",img);
}
最佳答案
问题是创建的灰度图像的大小应该与从相机获取的图像的大小相同。
而不是:
IplImage *gray = cvCreateImage( cvSize(640,480), 8, 1 );
写成:
IplImage *gray = cvCreateImage( cvSize(img->width,img->height), 8, 1);
关于c++ - OpenCV 中的圆圈和手部检测,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/5173413/