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Open Source Computer Vision Library
https://opencv.org/
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169 lines
3.5 KiB
169 lines
3.5 KiB
#include <iostream> |
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#include <string> |
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#include "opencv2/core.hpp" |
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#include "opencv2/core/utility.hpp" |
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#include "opencv2/gpu.hpp" |
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#include "opencv2/highgui.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace cv::gpu; |
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enum Method |
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{ |
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FGD_STAT, |
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MOG, |
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MOG2, |
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GMG |
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}; |
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int main(int argc, const char** argv) |
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{ |
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cv::CommandLineParser cmd(argc, argv, |
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"{ c camera | | use camera }" |
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"{ f file | 768x576.avi | input video file }" |
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"{ m method | mog | method (fgd, mog, mog2, gmg) }" |
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"{ h help | | print help message }"); |
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if (cmd.has("help") || !cmd.check()) |
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{ |
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cmd.printMessage(); |
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cmd.printErrors(); |
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return 0; |
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} |
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bool useCamera = cmd.has("camera"); |
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string file = cmd.get<string>("file"); |
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string method = cmd.get<string>("method"); |
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if (method != "fgd" |
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&& method != "mog" |
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&& method != "mog2" |
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&& method != "gmg") |
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{ |
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cerr << "Incorrect method" << endl; |
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return -1; |
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} |
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Method m = method == "fgd" ? FGD_STAT : |
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method == "mog" ? MOG : |
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method == "mog2" ? MOG2 : |
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GMG; |
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VideoCapture cap; |
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if (useCamera) |
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cap.open(0); |
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else |
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cap.open(file); |
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if (!cap.isOpened()) |
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{ |
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cerr << "can not open camera or video file" << endl; |
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return -1; |
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} |
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Mat frame; |
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cap >> frame; |
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GpuMat d_frame(frame); |
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FGDStatModel fgd_stat; |
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MOG_GPU mog; |
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MOG2_GPU mog2; |
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GMG_GPU gmg; |
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gmg.numInitializationFrames = 40; |
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GpuMat d_fgmask; |
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GpuMat d_fgimg; |
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GpuMat d_bgimg; |
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Mat fgmask; |
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Mat fgimg; |
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Mat bgimg; |
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switch (m) |
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{ |
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case FGD_STAT: |
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fgd_stat.create(d_frame); |
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break; |
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case MOG: |
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mog(d_frame, d_fgmask, 0.01f); |
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break; |
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case MOG2: |
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mog2(d_frame, d_fgmask); |
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break; |
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case GMG: |
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gmg.initialize(d_frame.size()); |
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break; |
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} |
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namedWindow("image", WINDOW_NORMAL); |
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namedWindow("foreground mask", WINDOW_NORMAL); |
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namedWindow("foreground image", WINDOW_NORMAL); |
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if (m != GMG) |
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{ |
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namedWindow("mean background image", WINDOW_NORMAL); |
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} |
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for(;;) |
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{ |
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cap >> frame; |
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if (frame.empty()) |
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break; |
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d_frame.upload(frame); |
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int64 start = cv::getTickCount(); |
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//update the model |
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switch (m) |
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{ |
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case FGD_STAT: |
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fgd_stat.update(d_frame); |
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d_fgmask = fgd_stat.foreground; |
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d_bgimg = fgd_stat.background; |
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break; |
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case MOG: |
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mog(d_frame, d_fgmask, 0.01f); |
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mog.getBackgroundImage(d_bgimg); |
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break; |
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case MOG2: |
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mog2(d_frame, d_fgmask); |
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mog2.getBackgroundImage(d_bgimg); |
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break; |
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case GMG: |
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gmg(d_frame, d_fgmask); |
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break; |
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} |
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double fps = cv::getTickFrequency() / (cv::getTickCount() - start); |
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std::cout << "FPS : " << fps << std::endl; |
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d_fgimg.setTo(Scalar::all(0)); |
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d_frame.copyTo(d_fgimg, d_fgmask); |
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d_fgmask.download(fgmask); |
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d_fgimg.download(fgimg); |
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if (!d_bgimg.empty()) |
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d_bgimg.download(bgimg); |
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imshow("image", frame); |
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imshow("foreground mask", fgmask); |
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imshow("foreground image", fgimg); |
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if (!bgimg.empty()) |
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imshow("mean background image", bgimg); |
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int key = waitKey(30); |
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if (key == 27) |
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break; |
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} |
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return 0; |
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}
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