C++程序用VS2010编译运行生成debug成功,但是生成release编译通过运行就崩溃,跪求大牛们帮忙,万分感谢!
代码如下:
// opencvtest.cpp : 定義主控台應用程式的進入點。
#include "stdafx.h"
#include "opencv\cv.hpp"
#include "opencv2\objdetect\objdetect.hpp"
#include "opencv2\highgui\highgui.hpp"
#include "opencv2\imgproc\imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <fstream>
using namespace std;
using namespace cv;
//String cascadeName = "D:\\OpenCV\\data\\haarcascades\\haarcascade_frontalface_alt2.xml";
IplImage* cutImage(IplImage* src, CvRect rect) {
cvSetImageROI(src, rect);
IplImage* dst = cvCreateImage(cvSize(rect.width, rect.height),
src->depth,
src->nChannels);
cvCopy(src,dst,0);
cvResetImageROI(src);
return dst;
}
IplImage* detect( Mat& img, CascadeClassifier& cascade, double scale)
{
int i = 0;
double t = 0;
vector<Rect> faces;
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,
1.3, 2, CV_HAAR_SCALE_IMAGE,
Size(30, 30) );
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++ )
{
IplImage* temp = cutImage(&(IplImage(img)), cvRect(r->x, r->y, r->width, r->height));
return temp;
}
return NULL;
}
//画直方图用
int HistogramBins = 256;
float HistogramRange1[2]={0,255};
float *HistogramRange[1]={&HistogramRange1[0]};
int CompareHist(IplImage* image1, IplImage* image2)
{
IplImage* srcImage;
IplImage* targetImage;
if (image1->nChannels != 1) {
srcImage = cvCreateImage(cvSize(image1->width, image1->height), image1->depth, 1);
cvCvtColor(image1, srcImage, CV_BGR2GRAY);
} else {
srcImage = image1;
}
if (image2->nChannels != 1) {
targetImage = cvCreateImage(cvSize(image2->width, image2->height), srcImage->depth, 1);
cvCvtColor(image2, targetImage, CV_BGR2GRAY);
} else {
targetImage = image2;
}
CvHistogram *Histogram1 = cvCreateHist(1, &HistogramBins, CV_HIST_ARRAY,HistogramRange);
CvHistogram *Histogram2 = cvCreateHist(1, &HistogramBins, CV_HIST_ARRAY,HistogramRange);
cvCalcHist(&srcImage, Histogram1);
cvCalcHist(&targetImage, Histogram2);
cvNormalizeHist(Histogram1, 1);
cvNormalizeHist(Histogram2, 1);
// CV_COMP_CHISQR,CV_COMP_BHATTACHARYYA这两种都可以用来做直方图的比较,值越小,说明图形越相似
//printf("CV_COMP_CHISQR : %.4f\n", cvCompareHist(Histogram1, Histogram2, CV_COMP_CHISQR));
//printf("CV_COMP_BHATTACHARYYA : %.4f\n", cvCompareHist(Histogram1, Histogram2, CV_COMP_BHATTACHARYYA));
// CV_COMP_CORREL, CV_COMP_INTERSECT这两种直方图的比较,值越大,说明图形越相似
//printf("CV_COMP_CORREL : %.4f\n", cvCompareHist(Histogram1, Histogram2, CV_COMP_CORREL));
printf("利用CV_COMP_INTERSECT函数获取的相似度如下 : %.4f\n", cvCompareHist(Histogram1, Histogram2, CV_COMP_INTERSECT));
cvReleaseHist(&Histogram1);
cvReleaseHist(&Histogram2);
if (image1->nChannels != 1) {
cvReleaseImage(&srcImage);
}
if (image2->nChannels != 1) {
cvReleaseImage(&targetImage);
}
return 0;
}
//String srcImage = "d:\\1.jpg";
//String targetImage = "d:\\4.jpg";
//String cascadeName = "D:\\OpenCV\\data\\haarcascades\\haarcascade_frontalface_alt2.xml";
int main(int argc, char* argv[])
{
//从configure文件中读取配置信息
String a="abc",srcImage="abc",b="abc",targetImage="abc",c="abc",cascadeName="abc";
ifstream infile;
infile.open("D:\\opencvtest\\configure.txt"); //注意文件的路径
infile>>a>>srcImage>>b>>targetImage>>c>>cascadeName; //两行数据可以连续读出到变量里
infile.close();
CascadeClassifier cascade;
//namedWindow("image1");
//namedWindow("image2");
if( !cascade.load( cascadeName ) )
{
return -1;
}
Mat srcImg, targetImg;
IplImage* faceImage1;
IplImage* faceImage2;
srcImg = imread(srcImage);
targetImg = imread(targetImage);
faceImage1 = detect(srcImg, cascade, 1);
if (faceImage1 == NULL) {
return -1;
}
//cvSaveImage("d:\\face.jpg", faceImage1, 0);
faceImage2 = detect(targetImg, cascade, 1);
if (faceImage2 == NULL) {
return -1;
}
// cvSaveImage("d:\\face1.jpg", faceImage2, 0);
imshow("image1", Mat(faceImage1));
imshow("image2", Mat(faceImage2));
CompareHist(faceImage1, faceImage2);
cvWaitKey(0);
cvReleaseImage(&faceImage1);
cvReleaseImage(&faceImage2);
return 0;
}