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