我在Windows 7中使用带有32位操作系统的visual studio 2010的opencv ....在运行People检测的示例程序时,它显示在窗口中播放的输出视频...但我无法打开输出视频,存储在特定位置......请帮助我...谢谢...
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <opencv2/core/core.hpp>
#include <iostream>
#include <stdio.h>
#include <string.h>
#include <ctype.h>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
Mat img; char _filename[1024];
HOGDescriptor hog;
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
namedWindow("people detector", 1);
CvCapture *cap=cvCaptureFromFile("E:/Phase_I_output/2.walk.avi");
img=cvQueryFrame(cap);
for(;;)
{
img=cvQueryFrame(cap);
if(img.empty())
break;
fflush(stdout);
vector<Rect> found, found_filtered;
double t = (double)getTickCount();
int can = img.channels();
hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2);
t = (double)getTickCount() - t;
printf("tdetection time = %gms\n", t*1000./cv::getTickFrequency());
size_t i, j;
for( i = 0; i < found.size(); i++ )
{
Rect r = found[i];
for( j = 0; j < found.size(); j++ )
if( j != i && (r & found[j]) == r)
break;
if( j == found.size() ) found_filtered.push_back(r);
}
for( i = 0; i < found_filtered.size(); i++ )
{
Rect r = found_filtered[i];
r.x += cvRound(r.width*0.1);
r.width = cvRound(r.width*0.8);
r.y += cvRound(r.height*0.07);
r.height = cvRound(r.height*0.8);
rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
}
Size size2 = Size(640,480);
int codec = CV_FOURCC('M', 'J', 'P', 'G');
VideoWriter writer2("E:/Phase_I_output/video_.avi",codec,50.0,size2,true);
writer2.open("E:/Phase_I_output/video_.avi",codec,15.0,size2,true);
writer2.write(img);
imshow("people detector", img);
if(waitKey(1) == 27)
break;
}
std::cout << "Completed" << std::endl ;
waitKey();
return 0;
}
答案 0 :(得分:0)
你应该在无限循环之前初始化videowriter,并且在没有更多的帧可以抓取之后释放视频标记(不需要使用C ++ API)和视频捕获:
Size size2 = Size(640,480);
int codec = CV_FOURCC('M', 'J', 'P', 'G');
VideoWriter writer2("E:/Phase_I_output/video_.avi",codec,50.0,size2,true);
writer2.open("E:/Phase_I_output/video_.avi",codec,50.0,size2,true);
for(;;){
//do your stuff
//write the current frame
writer2.write(img);
}
cvReleaseVideoWriter( writer2 );
cvReleaseCapture( &cap );
您还应该使用openCV的C ++ API。我相信每一个以&#39; cv&#39;是C API的一部分(不再受支持)。检查openCV documentation以查找相应的C ++函数。
例如:
img=cvQueryFrame(cap);
将成为:
cap >> img;
我更正了你的代码以使用openCV的C ++ API,并且它的工作正常(人们检测似乎给出了误报)。这是代码:
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <opencv2/core/core.hpp>
#include <iostream>
#include <stdio.h>
#include <string.h>
#include <ctype.h>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
Mat img;
string _filename;
_filename = "path/to/video.avi";
HOGDescriptor hog;
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
namedWindow("people detector", WND_PROP_AUTOSIZE);
VideoCapture cap = VideoCapture(_filename);
if(!cap.isOpened()){
cout<<"error opening : "<<_filename<<endl;
return 1;
}
Size size2 = Size(640,480);
int codec = static_cast<int>(cap.get(CV_CAP_PROP_FOURCC));
double fps = cap.get(CV_CAP_PROP_FPS);
VideoWriter writer2("../outputVideo_.avi",codec,fps,size2,true);
for(;;)
{
cap >> img;
if(img.empty()){
cout<<"frame n° "<<cap.get(CV_CAP_PROP_FRAME_COUNT)<<endl;
break;
}
fflush(stdout);
vector<Rect> found, found_filtered;
double t = (double)getTickCount();
int can = img.channels();
hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2);
t = (double)getTickCount() - t;
printf("tdetection time = %gms\n", t*1000./cv::getTickFrequency());
size_t i, j;
for( i = 0; i < found.size(); i++ )
{
Rect r = found[i];
for( j = 0; j < found.size(); j++ )
if( j != i && (r & found[j]) == r)
break;
if( j == found.size() ) found_filtered.push_back(r);
}
for( i = 0; i < found_filtered.size(); i++ )
{
Rect r = found_filtered[i];
r.x += cvRound(r.width*0.1);
r.width = cvRound(r.width*0.8);
r.y += cvRound(r.height*0.07);
r.height = cvRound(r.height*0.8);
rectangle(img, r.tl(), r.br(), Scalar(0,255,0), 3);
}
//writer2.write(img);
writer2 << img;
imshow("people detector", img);
if(waitKey(1) == 27)
{
break;
}
}
writer2.release();
cap.release();
cout << "Completed" << endl ;
waitKey();
destroyAllWindows();
return 0;
}