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Open Source Computer Vision Library
https://opencv.org/
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156 lines
4.1 KiB
156 lines
4.1 KiB
#include "opencv2/video/tracking.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/videoio/videoio.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include <iostream> |
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#include <ctype.h> |
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using namespace cv; |
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using namespace std; |
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static void help() |
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{ |
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// print a welcome message, and the OpenCV version |
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cout << "\nThis is a demo of Lukas-Kanade optical flow lkdemo(),\n" |
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"Using OpenCV version " << CV_VERSION << endl; |
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cout << "\nIt uses camera by default, but you can provide a path to video as an argument.\n"; |
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cout << "\nHot keys: \n" |
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"\tESC - quit the program\n" |
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"\tr - auto-initialize tracking\n" |
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"\tc - delete all the points\n" |
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"\tn - switch the \"night\" mode on/off\n" |
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"To add/remove a feature point click it\n" << endl; |
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} |
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Point2f point; |
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bool addRemovePt = false; |
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static void onMouse( int event, int x, int y, int /*flags*/, void* /*param*/ ) |
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{ |
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if( event == EVENT_LBUTTONDOWN ) |
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{ |
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point = Point2f((float)x, (float)y); |
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addRemovePt = true; |
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} |
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} |
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int main( int argc, char** argv ) |
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{ |
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VideoCapture cap; |
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TermCriteria termcrit(TermCriteria::COUNT|TermCriteria::EPS,20,0.03); |
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Size subPixWinSize(10,10), winSize(31,31); |
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const int MAX_COUNT = 500; |
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bool needToInit = false; |
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bool nightMode = false; |
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cv::CommandLineParser parser(argc, argv, "{@input||}{help h||}"); |
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string input = parser.get<string>("@input"); |
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if (parser.has("help")) |
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{ |
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help(); |
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return 0; |
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} |
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if( input.empty() ) |
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cap.open(0); |
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else if( input.size() == 1 && isdigit(input[0]) ) |
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cap.open(input[0] - '0'); |
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else |
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cap.open(input); |
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if( !cap.isOpened() ) |
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{ |
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cout << "Could not initialize capturing...\n"; |
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return 0; |
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} |
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namedWindow( "LK Demo", 1 ); |
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setMouseCallback( "LK Demo", onMouse, 0 ); |
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Mat gray, prevGray, image, frame; |
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vector<Point2f> points[2]; |
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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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frame.copyTo(image); |
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cvtColor(image, gray, COLOR_BGR2GRAY); |
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if( nightMode ) |
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image = Scalar::all(0); |
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if( needToInit ) |
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{ |
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// automatic initialization |
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goodFeaturesToTrack(gray, points[1], MAX_COUNT, 0.01, 10, Mat(), 3, 0, 0.04); |
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cornerSubPix(gray, points[1], subPixWinSize, Size(-1,-1), termcrit); |
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addRemovePt = false; |
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} |
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else if( !points[0].empty() ) |
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{ |
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vector<uchar> status; |
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vector<float> err; |
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if(prevGray.empty()) |
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gray.copyTo(prevGray); |
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calcOpticalFlowPyrLK(prevGray, gray, points[0], points[1], status, err, winSize, |
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3, termcrit, 0, 0.001); |
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size_t i, k; |
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for( i = k = 0; i < points[1].size(); i++ ) |
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{ |
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if( addRemovePt ) |
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{ |
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if( norm(point - points[1][i]) <= 5 ) |
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{ |
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addRemovePt = false; |
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continue; |
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} |
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} |
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if( !status[i] ) |
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continue; |
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points[1][k++] = points[1][i]; |
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circle( image, points[1][i], 3, Scalar(0,255,0), -1, 8); |
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} |
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points[1].resize(k); |
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} |
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if( addRemovePt && points[1].size() < (size_t)MAX_COUNT ) |
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{ |
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vector<Point2f> tmp; |
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tmp.push_back(point); |
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cornerSubPix( gray, tmp, winSize, Size(-1,-1), termcrit); |
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points[1].push_back(tmp[0]); |
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addRemovePt = false; |
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} |
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needToInit = false; |
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imshow("LK Demo", image); |
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char c = (char)waitKey(10); |
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if( c == 27 ) |
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break; |
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switch( c ) |
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{ |
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case 'r': |
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needToInit = true; |
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break; |
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case 'c': |
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points[0].clear(); |
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points[1].clear(); |
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break; |
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case 'n': |
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nightMode = !nightMode; |
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break; |
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} |
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std::swap(points[1], points[0]); |
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cv::swap(prevGray, gray); |
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} |
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return 0; |
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}
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