我使用OpenCV用Visual C ++编写的程序有问题： 我必须从网络摄像头捕获帧并找到所有各种矩形（它与颜色无关）。 我尝试修改c，squares.c中的样本，但它也不起作用，因为程序等待任何键（不同于'q'）继续。
这是代码。有人可以告诉我问题在哪里？ 提前谢谢。
//
// Object Detection of squares
// Take images from webcam and find the square in them
//
//
#include "stdafx.h"
#include <stdio.h>
#include <math.h>
#include <string.h>
int thresh = 50;
IplImage* img = 0;
IplImage* img0 = 0;
CvMemStorage* storage = 0;
//const char* wndname = "Square Detection Demo with Webcam";
// helper function:
// finds a cosine of angle between vectors
// from pt0->pt1 and from pt0->pt2
double angle( CvPoint* pt1, CvPoint* pt2, CvPoint* pt0 )
{
double dx1 = pt1->x - pt0->x;
double dy1 = pt1->y - pt0->y;
double dx2 = pt2->x - pt0->x;
double dy2 = pt2->y - pt0->y;
return (dx1*dx2 + dy1*dy2)/sqrt((dx1*dx1 + dy1*dy1)*(dx2*dx2 + dy2*dy2) + 1e-10);
}
// returns sequence of squares detected on the image.
// the sequence is stored in the specified memory storage
CvSeq* findSquares4( IplImage* img, CvMemStorage* storage )
{
CvSeq* contours;
int i, c, l, N = 11;
CvSize sz = cvSize( img->width & -2, img->height & -2 );
IplImage* timg = cvCloneImage( img ); // make a copy of input image
IplImage* gray = cvCreateImage( sz, 8, 1 );
IplImage* pyr = cvCreateImage( cvSize(sz.width/2, sz.height/2), 8, 3 );
IplImage* tgray;
CvSeq* result;
double s, t;
// create empty sequence that will contain points -
// 4 points per square (the square's vertices)
CvSeq* squares = cvCreateSeq( 0, sizeof(CvSeq), sizeof(CvPoint), storage );
// select the maximum ROI in the image
// with the width and height divisible by 2
cvSetImageROI( timg, cvRect( 0, 0, sz.width, sz.height ));
// down-scale and upscale the image to filter out the noise
cvPyrDown( timg, pyr, 7 );
cvPyrUp( pyr, timg, 7 );
tgray = cvCreateImage( sz, 8, 1 );
// find squares in every color plane of the image
for( c = 0; c < 3; c++ )
{
// extract the c-th color plane
cvSetImageCOI( timg, c+1 );
cvCopy( timg, tgray, 0 );
// try several threshold levels
for( l = 0; l < N; l++ )
{
// hack: use Canny instead of zero threshold level.
// Canny helps to catch squares with gradient shading
if( l == 0 )
{
// apply Canny. Take the upper threshold from slider
// and set the lower to 0 (which forces edges merging)
cvCanny( tgray, gray, 0, thresh, 5 );
// dilate canny output to remove potential
// holes between edge segments
cvDilate( gray, gray, 0, 1 );
}
else
{
// apply threshold if l!=0:
// tgray(x,y) = gray(x,y) < (l+1)*255/N ? 255 : 0
cvThreshold( tgray, gray, (l+1)*255/N, 255, CV_THRESH_BINARY );
}
// find contours and store them all as a list
cvFindContours( gray, storage, &contours, sizeof(CvContour),
CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
// test each contour
while( contours )
{
// approximate contour with accuracy proportional
// to the contour perimeter
result = cvApproxPoly( contours, sizeof(CvContour), storage,
CV_POLY_APPROX_DP, cvContourPerimeter(contours)*0.02, 0 );
// square contours should have 4 vertices after approximation
// relatively large area (to filter out noisy contours)
// and be convex.
// Note: absolute value of an area is used because
// area may be positive or negative - in accordance with the
// contour orientation
if( result->total == 4 &&
fabs(cvContourArea(result,CV_WHOLE_SEQ)) > 1000 &&
cvCheckContourConvexity(result) )
{
s = 0;
printf("ciclo for annidato fino a 5\t\n");
for( i = 0; i < 5; i++ )
{
// find minimum angle between joint
// edges (maximum of cosine)
if( i >= 2 )
{
t = fabs(angle(
(CvPoint*)cvGetSeqElem( result, i ),
(CvPoint*)cvGetSeqElem( result, i-2 ),
(CvPoint*)cvGetSeqElem( result, i-1 )));
s = s > t ? s : t;
}
}
// if cosines of all angles are small
// (all angles are ~90 degree) then write quandrange
// vertices to resultant sequence
if( s < 0.3 )
for( i = 0; i < 4; i++ )
cvSeqPush( squares,
(CvPoint*)cvGetSeqElem( result, i ));
}
// take the next contour
contours = contours->h_next;
}
}
}
// release all the temporary images
cvReleaseImage( &gray );
cvReleaseImage( &pyr );
cvReleaseImage( &tgray );
cvReleaseImage( &timg );
return squares;
}
// the function draws all the squares in the image
void drawSquares( IplImage* img, CvSeq* squares )
{
CvSeqReader reader;
IplImage* cpy = cvCloneImage( img );
int i;
// initialize reader of the sequence
cvStartReadSeq( squares, &reader, 0 );
// read 4 sequence elements at a time (all vertices of a square)
for( i = 0; i < squares->total; i += 4 )
{
CvPoint pt[4], *rect = pt;
int count = 4;
// read 4 vertices
CV_READ_SEQ_ELEM( pt[0], reader );
CV_READ_SEQ_ELEM( pt[1], reader );
CV_READ_SEQ_ELEM( pt[2], reader );
CV_READ_SEQ_ELEM( pt[3], reader );
// draw the square as a closed polyline
cvPolyLine( cpy, &rect, &count, 1, 1, CV_RGB(0,255,0), 3, CV_AA, 0 );
}
cvSaveImage("squares.jpg",cpy);
//show the resultant image
//cvShowImage( wndname, cpy );
cvReleaseImage( &cpy );
//return cpy;
}
int _tmain(int argc, _TCHAR* argv[])
{
int key = 0;
IplImage* frame =0;
IplImage* squares=0;
// create memory storage that will contain all the dynamic data
storage = cvCreateMemStorage(0);
CvCapture *camera = cvCreateCameraCapture(CV_CAP_ANY); /* Usa USB camera */
frame = cvQueryFrame(camera);
frame = cvQueryFrame(camera);
frame = cvQueryFrame(camera);
while(key!='q'){
frame = cvQueryFrame(camera);
frame = cvQueryFrame(camera);
if(frame!=NULL){
printf("Got frame\t\n");
cvSaveImage("frame.jpg", frame);
/*img0*/ img = cvLoadImage("frame.jpg");
//img = cvCloneImage( img0 );
cvNamedWindow( "img0", CV_WINDOW_AUTOSIZE);
cvShowImage("img0",/*img0*/img);
// find and draw the squares
drawSquares( img, findSquares4( img, storage ) );
squares = cvLoadImage("squares.jpg");
// create window and a trackbar (slider)
//with parent "image" and set callback
//(the slider regulates upper threshold,
//passed to Canny edge detector)
cvNamedWindow( "main", CV_WINDOW_AUTOSIZE);
cvShowImage("main", squares);
/* wait for key.
Also the function cvWaitKey takes care of event processing */
key = cvWaitKey(0);
}
}
// release both images
cvReleaseImage( &img );
cvReleaseImage( &img0 );
cvReleaseCapture(&camera);
cvDestroyWindow("main");
cvDestroyWindow("img0");
// clear memory storage - reset free space position
cvClearMemStorage( storage );
return 0;
}
答案 0 :(得分：3)
我相信你的问题在这里：
/* wait for key.
Also the function cvWaitKey takes care of event processing */
key = cvWaitKey(0);
尝试将0更改为10.
我在您的代码中看到了一些其他问题。例如，你在while循环中创建窗口，这是不好的。尝试在while循环之外移动cvNamedWindow（）函数调用。另外，我不确定你为什么要查询相机的帧而不处理它们？
答案 1 :(得分：0)
如果您的问题是窗口在不等待键盘命中的情况下消失，您可以在代码末尾添加cvWaitKey（0）。
最后一个getch（）也会有所帮助。确保包含在标题中。