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- // This file is part of OpenCV project.
- // It is subject to the license terms in the LICENSE file found in the top-level directory
- // of this distribution and at http://opencv.org/license.html
- #include "opencv2/core.hpp"
- #include "opencv2/imgproc.hpp"
- #include "opencv2/video.hpp"
- #include "opencv2/videoio.hpp"
- #include "opencv2/highgui.hpp"
- #include <iostream>
- using namespace std;
- using namespace cv;
- int main(int argc, const char** argv)
- {
- const String keys = "{c camera | 0 | use video stream from camera (device index starting from 0) }"
- "{fn file_name | | use video file as input }"
- "{m method | mog2 | method: background subtraction algorithm ('knn', 'mog2')}"
- "{h help | | show help message}";
- CommandLineParser parser(argc, argv, keys);
- parser.about("This sample demonstrates background segmentation.");
- if (parser.has("help"))
- {
- parser.printMessage();
- return 0;
- }
- int camera = parser.get<int>("camera");
- String file = parser.get<String>("file_name");
- String method = parser.get<String>("method");
- if (!parser.check())
- {
- parser.printErrors();
- return 1;
- }
- VideoCapture cap;
- if (file.empty())
- cap.open(camera);
- else
- {
- file = samples::findFileOrKeep(file); // ignore gstreamer pipelines
- cap.open(file.c_str());
- }
- if (!cap.isOpened())
- {
- cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;
- return 2;
- }
- Ptr<BackgroundSubtractor> model;
- if (method == "knn")
- model = createBackgroundSubtractorKNN();
- else if (method == "mog2")
- model = createBackgroundSubtractorMOG2();
- if (!model)
- {
- cout << "Can not create background model using provided method: '" << method << "'" << endl;
- return 3;
- }
- cout << "Press <space> to toggle background model update" << endl;
- cout << "Press 's' to toggle foreground mask smoothing" << endl;
- cout << "Press ESC or 'q' to exit" << endl;
- bool doUpdateModel = true;
- bool doSmoothMask = false;
- Mat inputFrame, frame, foregroundMask, foreground, background;
- for (;;)
- {
- // prepare input frame
- cap >> inputFrame;
- if (inputFrame.empty())
- {
- cout << "Finished reading: empty frame" << endl;
- break;
- }
- const Size scaledSize(640, 640 * inputFrame.rows / inputFrame.cols);
- resize(inputFrame, frame, scaledSize, 0, 0, INTER_LINEAR);
- // pass the frame to background model
- model->apply(frame, foregroundMask, doUpdateModel ? -1 : 0);
- // show processed frame
- imshow("image", frame);
- // show foreground image and mask (with optional smoothing)
- if (doSmoothMask)
- {
- GaussianBlur(foregroundMask, foregroundMask, Size(11, 11), 3.5, 3.5);
- threshold(foregroundMask, foregroundMask, 10, 255, THRESH_BINARY);
- }
- if (foreground.empty())
- foreground.create(scaledSize, frame.type());
- foreground = Scalar::all(0);
- frame.copyTo(foreground, foregroundMask);
- imshow("foreground mask", foregroundMask);
- imshow("foreground image", foreground);
- // show background image
- model->getBackgroundImage(background);
- if (!background.empty())
- imshow("mean background image", background );
- // interact with user
- const char key = (char)waitKey(30);
- if (key == 27 || key == 'q') // ESC
- {
- cout << "Exit requested" << endl;
- break;
- }
- else if (key == ' ')
- {
- doUpdateModel = !doUpdateModel;
- cout << "Toggle background update: " << (doUpdateModel ? "ON" : "OFF") << endl;
- }
- else if (key == 's')
- {
- doSmoothMask = !doSmoothMask;
- cout << "Toggle foreground mask smoothing: " << (doSmoothMask ? "ON" : "OFF") << endl;
- }
- }
- return 0;
- }
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