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Open Source Computer Vision Library
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178 lines
3.7 KiB
178 lines
3.7 KiB
/* |
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* |
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* Hybrid Tracking in OpenCV |
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* Usage: ./hybridtrackingsample live |
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* |
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* For Benchmarking against the Bonn benchmark dataset |
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* wget http://www.iai.uni-bonn.de/~kleind/tracking/datasets/seqG.zip |
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* unzip seqG.zip -d ./seqG |
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* ffmpeg -i seqG/Vid_G_rubikscube.avi seqG/%04d.png |
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* ./hytrack seqG/Vid_G_rubikscube.txt |
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* |
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*/ |
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#include <cv.h> |
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#include <ml.h> |
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#include <cvaux.h> |
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#include <highgui.h> |
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#include <stdio.h> |
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#include <time.h> |
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#include <iostream> |
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#include "opencv2/contrib/hybridtracker.hpp" |
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using namespace cv; |
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using namespace std; |
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Mat frame, image; |
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Rect selection; |
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Point origin; |
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bool selectObject = false; |
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int trackObject = 0; |
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int live = 1; |
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void drawRectangle(Mat* image, Rect win) { |
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rectangle(*image, Point(win.x, win.y), Point(win.x + win.width, win.y |
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+ win.height), Scalar(0, 255, 0), 2, CV_AA); |
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} |
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void onMouse(int event, int x, int y, int, void*) { |
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if (selectObject) { |
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selection.x = MIN(x, origin.x); |
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selection.y = MIN(y, origin.y); |
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selection.width = std::abs(x - origin.x); |
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selection.height = std::abs(y - origin.y); |
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selection &= Rect(0, 0, image.cols, image.rows); |
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} |
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switch (event) { |
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case CV_EVENT_LBUTTONDOWN: |
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origin = Point(x, y); |
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selection = Rect(x, y, 0, 0); |
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selectObject = true; |
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break; |
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case CV_EVENT_LBUTTONUP: |
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selectObject = false; |
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trackObject = -1; |
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break; |
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} |
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} |
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void help() |
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{ |
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printf("Usage: ./hytrack live or ./hytrack <test_file> \n\ |
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For Live View or Benchmarking. Read documentation is source code.\n\n"); |
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} |
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int main(int argc, char** argv) |
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{ |
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if(argc != 2) { |
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help(); |
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return 1; |
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} |
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FILE* f; |
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VideoCapture cap; |
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char test_file[20] = ""; |
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char dir[20] = ""; |
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if (strcmp(argv[1], "live") != 0) |
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{ |
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sprintf(test_file, "%s", argv[1]); |
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f = fopen(test_file, "r"); |
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char vid[20]; |
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fscanf(f, "%s\n", vid); |
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cout << "Benchmarking against " << vid << endl; |
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live = 0; |
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} |
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else |
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{ |
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cap.open(0); |
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if (!cap.isOpened()) |
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{ |
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cout << "Failed to open camera" << endl; |
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return 0; |
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} |
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cout << "Opened camera" << endl; |
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cap.set(CV_CAP_PROP_FRAME_WIDTH, 640); |
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cap.set(CV_CAP_PROP_FRAME_HEIGHT, 480); |
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cap >> frame; |
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} |
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HybridTrackerParams params; |
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// motion model params |
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params.motion_model = CvMotionModel::LOW_PASS_FILTER; |
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params.low_pass_gain = 0.1; |
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// mean shift params |
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params.ms_tracker_weight = 0.8; |
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params.ms_params.tracking_type = CvMeanShiftTrackerParams::HS; |
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// feature tracking params |
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params.ft_tracker_weight = 0.2; |
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params.ft_params.feature_type = CvFeatureTrackerParams::OPTICAL_FLOW; |
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params.ft_params.window_size = 0; |
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HybridTracker tracker(params); |
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char img_file[20] = "seqG/0001.png"; |
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char img_file_num[10]; |
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namedWindow("Win", 1); |
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setMouseCallback("Win", onMouse, 0); |
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int i = 0; |
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float w[4]; |
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while(1) |
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{ |
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i++; |
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if (live) |
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{ |
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cap >> frame; |
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frame.copyTo(image); |
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} |
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else |
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{ |
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fscanf(f, "%d %f %f %f %f\n", &i, &w[0], &w[1], &w[2], &w[3]); |
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sprintf(img_file, "seqG/%04d.png", i); |
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image = imread(img_file, CV_LOAD_IMAGE_COLOR); |
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selection = Rect(w[0]*image.cols, w[1]*image.rows, w[2]*image.cols, w[3]*image.rows); |
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} |
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if (image.data == NULL) |
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continue; |
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sprintf(img_file_num, "Frame: %d", i); |
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putText(image, img_file_num, Point(10, image.rows-20), FONT_HERSHEY_PLAIN, 0.75, Scalar(255, 255, 255)); |
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if (!image.empty()) |
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{ |
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if (trackObject < 0) |
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{ |
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tracker.newTracker(image, selection); |
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trackObject = 1; |
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} |
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if (trackObject) |
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{ |
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tracker.updateTracker(image); |
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drawRectangle(&image, tracker.getTrackingWindow()); |
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} |
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if (selectObject && selection.width > 0 && selection.height > 0) |
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{ |
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Mat roi(image, selection); |
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bitwise_not(roi, roi); |
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} |
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drawRectangle(&image, Rect(w[0]*image.cols, w[1]*image.rows, w[2]*image.cols, w[3]*image.rows)); |
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imshow("Win", image); |
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waitKey(100); |
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} |
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else |
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i = 0; |
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} |
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fclose(f); |
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return 0; |
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}
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