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我嘗試使用vs2010運行facedetect opencv示例。 調試結果「facedetect.exe中0x53fa42bf未處理的異常：0xC0000005：訪問衝突寫入位置0x00000000」。FaceDetect OpenCV2.1示例，訪問衝突寫入位置0x00000000
下面是代碼 txt文件：http://ebooks-libs.com/backup/facedetect-opencv2.1.txt
CPP文件：http://ebooks-libs.com/backup/facedetect.cpp
#include "stdafx.h"
#include <iostream>
#include <cstdio>
#define CV_NO_BACKWARD_COMPATIBILITY
#include "cv.h"
#include "highgui.h"
#ifdef _EiC
#define WIN32
#endif
using namespace std;
using namespace cv;
void detectAndDraw(Mat& img,
CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
double scale);
String cascadeName ="./data/haarcascades/haarcascade_frontalface_alt.xml";
String nestedCascadeName ="./data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
int main(int argc, const char** argv)
{
CvCapture* capture = 0;
Mat frame, frameCopy, image;
const String scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const String cascadeOpt = "--cascade=";
size_t cascadeOptLen = cascadeOpt.length();
const String nestedCascadeOpt = "--nested-cascade";
size_t nestedCascadeOptLen = nestedCascadeOpt.length();
String inputName;
CascadeClassifier cascade, nestedCascade;
double scale = 1;
for(int i = 1; i < argc; i++)
{
if(cascadeOpt.compare(0, cascadeOptLen, argv[i], cascadeOptLen) == 0)
cascadeName.assign(argv[i] + cascadeOptLen);
else if(nestedCascadeOpt.compare(0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen) == 0)
{
if(argv[i][nestedCascadeOpt.length()] == '=')
nestedCascadeName.assign(argv[i] + nestedCascadeOpt.length() + 1);
if(!nestedCascade.load(nestedCascadeName))
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
}
else if(scaleOpt.compare(0, scaleOptLen, argv[i], scaleOptLen) == 0)
{
if(!sscanf(argv[i] + scaleOpt.length(), "%lf", &scale) || scale < 1)
scale = 1;
}
else if(argv[i][0] == '-')
{
cerr << "WARNING: Unknown option %s" << argv[i] << endl;
}
else
inputName.assign(argv[i]);
}
if(!cascade.load(cascadeName))
{
cerr << "ERROR: Could not load classifier cascade" << endl;
cerr << "Usage: facedetect [--cascade=\"<cascade_path>\"]\n"
" [--nested-cascade[=\"nested_cascade_path\"]]\n"
" [--scale[=<image scale>\n"
" [filename|camera_index]\n" ;
return -1;
}
if(inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0'))
capture = cvCaptureFromCAM(inputName.empty() ? 0 : inputName.c_str()[0] - '0');
else if(inputName.size())
{
image = imread(inputName, 1);
if(image.empty())
capture = cvCaptureFromAVI(inputName.c_str());
}
else
image = imread("lena.jpg", 1);
cvNamedWindow("result", 1);
if(capture)
{
for(;;)
{
IplImage* iplImg = cvQueryFrame(capture);
frame = iplImg;
if(frame.empty())
break;
if(iplImg->origin == IPL_ORIGIN_TL)
frame.copyTo(frameCopy);
else
flip(frame, frameCopy, 0);
detectAndDraw(frameCopy, cascade, nestedCascade, scale);
if(waitKey(10) >= 0)
goto _cleanup_;
}
waitKey(0);
_cleanup_:
cvReleaseCapture(&capture);
}
else
{
if(!image.empty())
{
detectAndDraw(image, cascade, nestedCascade, scale);
waitKey(0);
}
else if(!inputName.empty())
{
/* assume it is a text file containing the
list of the image filenames to be processed - one per line */
FILE* f = fopen(inputName.c_str(), "rt");
if(f)
{
char buf[1000+1];
while(fgets(buf, 1000, f))
{
int len = (int)strlen(buf), c;
while(len > 0 && isspace(buf[len-1]))
len--;
buf[len] = '\0';
cout << "file " << buf << endl;
image = imread(buf, 1);
if(!image.empty())
{
detectAndDraw(image, cascade, nestedCascade, scale);
c = waitKey(0);
if(c == 27 || c == 'q' || c == 'Q')
break;
}
}
fclose(f);
}
}
}
cvDestroyWindow("result");
return 0;
}
void detectAndDraw(Mat& img,
CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
double scale)
{
int i = 0;
double t = 0;
vector<Rect> faces;
const static Scalar colors[] = { CV_RGB(0,0,255),
CV_RGB(0,128,255),
CV_RGB(0,255,255),
CV_RGB(0,255,0),
CV_RGB(255,128,0),
CV_RGB(255,255,0),
CV_RGB(255,0,0),
CV_RGB(255,0,255)} ;
Mat gray, smallImg(cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1);
cvtColor(img, gray, CV_BGR2GRAY);
resize(gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR);
equalizeHist(smallImg, smallImg);
t = (double)cvGetTickCount();
cascade.detectMultiScale(smallImg, faces,1.1, 2, 0 |CV_HAAR_SCALE_IMAGE,Size(30, 30));
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
t = (double)cvGetTickCount() - t;
printf("detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.));
for(vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++)
{
Mat smallImgROI;
vector<Rect> nestedObjects;
Point center;
Scalar color = colors[i%8];
int radius;
center.x = cvRound((r->x + r->width*0.5)*scale);
center.y = cvRound((r->y + r->height*0.5)*scale);
radius = cvRound((r->width + r->height)*0.25*scale);
circle(img, center, radius, color, 3, 8, 0);
if(nestedCascade.empty())
continue;
smallImgROI = smallImg(*r);
nestedCascade.detectMultiScale(smallImgROI, nestedObjects,
1.1, 2, 0
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_DO_CANNY_PRUNING
|CV_HAAR_SCALE_IMAGE
,
Size(30, 30));
for(vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++)
{
center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale);
center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale);
radius = cvRound((nr->width + nr->height)*0.25*scale);
circle(img, center, radius, color, 3, 8, 0);
}
}
cv::imshow("result", img);
}
需要一些幫助如何解決它...
用VS2010的漂亮的調試工具跟蹤它，問題發生在哪裏，哪個功能，哪個類，哪種使用風格等等。這種詢問方式將沒有答案。 – Mustafa