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984eb99428
[~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
180 lines
3.8 KiB
C++
180 lines
3.8 KiB
C++
/*
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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/highgui/highgui.hpp"
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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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