大家!我使用的是opencv2.4.2。实际上我正在进行物体检测项目。我尝试使用BackgroundSubtractorMOG模型。 但我无法从我的电脑加载视频文件。在实时运行时,下面的分段代码工作正常。 我已经实现了使用帧差分方法进行对象检测。现在我想从背景中分割整个对象。我有静态背景。所以任何人都可以帮我下面的代码如何从捕获的视频中分割对象。还有如何加载视频文件? 谢谢。
#include "stdafx.h"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/contrib/contrib.hpp"
#include "conio.h"
#include "time.h"
#include "opencv/cvaux.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/calib3d/calib3d.hpp"
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
//IplImage* tmp_frame;
//std::string arg = argv[1];
//VideoCapture capture();
cv::VideoCapture cap;
/*CvCapture *cap =cvCaptureFromFile("S:\\offline object detection database\\SINGLE PERSON Database\\video4.avi");
if(!cap){
printf("Capture failure\n");
return -1;
}
IplImage* frame=0;
frame = cvQueryFrame(cap);
if(!frame)
return -1;*/
bool update_bg_model = true;
if( argc < 2 )
cap.open(0);
else
cap.open(std::string(argv[1]));
if( !cap.isOpened() )
{
printf("can not open camera or video file\n");
return -1;
}
Mat tmp_frame, bgmask;
cap >> tmp_frame;
if(!tmp_frame.data)
{
printf("can not read data from the video source\n");
return -1;
}
namedWindow("video", 1);
namedWindow("segmented", 1);
BackgroundSubtractorMOG bgsubtractor;
for(;;)
{
//double t = (double)cvGetTickCount();
cap >> tmp_frame;
if( !tmp_frame.data )
break;
bgsubtractor(tmp_frame, bgmask, update_bg_model ? -1 : 0);
//t = (double)cvGetTickCount() - t;
//printf( "%d. %.1f\n", fr, t/(cvGetTickFrequency()*1000.) );
imshow("video", tmp_frame);
imshow("segmented", bgmask);
char keycode = waitKey(30);
if( keycode == 27 ) break;
if( keycode == ' ' )
update_bg_model = !update_bg_model;
}
return 0;
}
答案 0 :(得分:0)
opencv中的视频加载对我有用。要加载视频,您可以尝试这样的操作。捕获帧后,您可以在循环中进行处理,也可以调用单独的函数。
std::cout<<"Video File "<<argv[1]<<std::endl;
cv::VideoCapture input_video(argv[1]);
namedWindow("My_Win",1);
Mat cap_img;
while(input_video.grab())
{
if(input_video.retrieve(cap_img))
{
imshow("My_Win", cap_img);
/* Once you have the image do all the processing here */
/* Or Call your image processing function */
waitKey(1);
}
}
或者你可以做点什么
int main(int argc, char*argv[])
{
char *my_file = "C:\\vid_an2\\desp_me.avi";
std::cout<<"Video File "<<my_file<<std::endl;
cv::VideoCapture input_video;
if(input_video.open(my_file))
{
std::cout<<"Video file open "<<std::endl;
}
else
{
std::cout<<"Not able to Video file open "<<std::endl;
}
namedWindow("My_Win",1);
namedWindow("Segemented", 1);
Mat cap_img;
for(;;)
{
input_video >> cap_img;
imshow("My_Win", cap_img);
waitKey(0);
}
return 0;
}