Open Source Computer Vision Library https://opencv.org/
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#include <iostream>
#include <string>
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/cudabgsegm.hpp"
#include "opencv2/cudalegacy.hpp"
#include "opencv2/video.hpp"
#include "opencv2/highgui.hpp"
using namespace std;
using namespace cv;
using namespace cv::cuda;
enum Method
{
MOG,
MOG2,
GMG,
FGD_STAT
};
int main(int argc, const char** argv)
{
cv::CommandLineParser cmd(argc, argv,
"{ c camera | | use camera }"
"{ f file | ../data/vtest.avi | input video file }"
"{ m method | mog | method (mog, mog2, gmg, fgd) }"
"{ h help | | print help message }");
if (cmd.has("help") || !cmd.check())
{
cmd.printMessage();
cmd.printErrors();
return 0;
}
bool useCamera = cmd.has("camera");
string file = cmd.get<string>("file");
string method = cmd.get<string>("method");
if (method != "mog"
&& method != "mog2"
&& method != "gmg"
&& method != "fgd")
{
cerr << "Incorrect method" << endl;
return -1;
}
Method m = method == "mog" ? MOG :
method == "mog2" ? MOG2 :
method == "fgd" ? FGD_STAT :
GMG;
VideoCapture cap;
if (useCamera)
cap.open(0);
else
cap.open(file);
if (!cap.isOpened())
{
cerr << "can not open camera or video file" << endl;
return -1;
}
Mat frame;
cap >> frame;
GpuMat d_frame(frame);
Ptr<BackgroundSubtractor> mog = cuda::createBackgroundSubtractorMOG();
Ptr<BackgroundSubtractor> mog2 = cuda::createBackgroundSubtractorMOG2();
Ptr<BackgroundSubtractor> gmg = cuda::createBackgroundSubtractorGMG(40);
Ptr<BackgroundSubtractor> fgd = cuda::createBackgroundSubtractorFGD();
GpuMat d_fgmask;
GpuMat d_fgimg;
GpuMat d_bgimg;
Mat fgmask;
Mat fgimg;
Mat bgimg;
switch (m)
{
case MOG:
mog->apply(d_frame, d_fgmask, 0.01);
break;
case MOG2:
mog2->apply(d_frame, d_fgmask);
break;
case GMG:
gmg->apply(d_frame, d_fgmask);
break;
case FGD_STAT:
fgd->apply(d_frame, d_fgmask);
break;
}
namedWindow("image", WINDOW_NORMAL);
namedWindow("foreground mask", WINDOW_NORMAL);
namedWindow("foreground image", WINDOW_NORMAL);
if (m != GMG)
{
namedWindow("mean background image", WINDOW_NORMAL);
}
for(;;)
{
cap >> frame;
if (frame.empty())
break;
d_frame.upload(frame);
int64 start = cv::getTickCount();
//update the model
switch (m)
{
case MOG:
mog->apply(d_frame, d_fgmask, 0.01);
mog->getBackgroundImage(d_bgimg);
break;
case MOG2:
mog2->apply(d_frame, d_fgmask);
mog2->getBackgroundImage(d_bgimg);
break;
case GMG:
gmg->apply(d_frame, d_fgmask);
break;
case FGD_STAT:
fgd->apply(d_frame, d_fgmask);
fgd->getBackgroundImage(d_bgimg);
break;
}
double fps = cv::getTickFrequency() / (cv::getTickCount() - start);
std::cout << "FPS : " << fps << std::endl;
d_fgimg.create(d_frame.size(), d_frame.type());
d_fgimg.setTo(Scalar::all(0));
d_frame.copyTo(d_fgimg, d_fgmask);
d_fgmask.download(fgmask);
d_fgimg.download(fgimg);
if (!d_bgimg.empty())
d_bgimg.download(bgimg);
imshow("image", frame);
imshow("foreground mask", fgmask);
imshow("foreground image", fgimg);
if (!bgimg.empty())
imshow("mean background image", bgimg);
int key = waitKey(30);
if (key == 27)
break;
}
return 0;
}