/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "opencv2/opencv_modules.hpp" #include "opencv2/core.hpp" #ifdef HAVE_OPENCV_DATASETS #include "opencv2/datasets/track_vot.hpp" #include #include #include #include #include "samples_utility.hpp" #include using namespace std; using namespace cv; using namespace cv::datasets; #define NUM_TEST_FRAMES 1000 static Mat image; static bool paused; static bool selectObjects = false; static bool startSelection = false; vector boundingBoxes; int targetsCnt = 0; int targetsNum = 0; Rect2d boundingBox; static const char* keys = { "{@tracker_algorithm | | Tracker algorithm }" "{@target_num |1| Number of targets }" "{@dataset_path |true| Dataset path }" "{@dataset_id |1| Dataset ID }" }; static void onMouse(int event, int x, int y, int, void*) { if (!selectObjects) { switch (event) { case EVENT_LBUTTONDOWN: //set origin of the bounding box startSelection = true; boundingBox.x = x; boundingBox.y = y; boundingBox.width = boundingBox.height = 0; break; case EVENT_LBUTTONUP: //sei with and height of the bounding box boundingBox.width = std::abs(x - boundingBox.x); boundingBox.height = std::abs(y - boundingBox.y); boundingBoxes.push_back(boundingBox); targetsCnt++; if (targetsCnt == targetsNum) { paused = false; selectObjects = true; } startSelection = false; break; case EVENT_MOUSEMOVE: if (startSelection && !selectObjects) { //draw the bounding box Mat currentFrame; image.copyTo(currentFrame); for (int i = 0; i < (int)boundingBoxes.size(); i++) rectangle(currentFrame, boundingBoxes[i], Scalar(255, 0, 0), 2, 1); rectangle(currentFrame, Point((int)boundingBox.x, (int)boundingBox.y), Point(x, y), Scalar(255, 0, 0), 2, 1); imshow("Tracking API", currentFrame); } break; } } } static void help() { cout << "\nThis example shows the functionality of \"Long-term optical tracking API\"" "TLD dataset ID: 1~10, VOT2015 dataset ID: 1~60\n" "-- pause video [p] and draw a bounding boxes around the targets to start the tracker\n" "Example:\n" "./example_tracking_multiTracker_dataset \n" << endl; cout << "\n\nHot keys: \n" "\tq - quit the program\n" "\tp - pause video\n"; } int main(int argc, char *argv[]) { CommandLineParser parser(argc, argv, keys); string tracker_algorithm = parser.get(0); targetsNum = parser.get(1); string datasetRootPath = parser.get(2); int datasetID = parser.get(3); if (tracker_algorithm.empty() || datasetRootPath.empty() || targetsNum < 1) { help(); return -1; } Mat frame; paused = false; namedWindow("Tracking API", 0); setMouseCallback("Tracking API", onMouse, 0); legacy::MultiTrackerTLD mt; //Init Dataset Ptr dataset = TRACK_vot::create(); dataset->load(datasetRootPath); dataset->initDataset(datasetID); //Read first frame dataset->getNextFrame(frame); frame.copyTo(image); for (int i = 0; i < (int)boundingBoxes.size(); i++) rectangle(image, boundingBoxes[i], Scalar(255, 0, 0), 2, 1); imshow("Tracking API", image); bool initialized = false; paused = true; int frameCounter = 0; //Time measurment int64 e3 = getTickCount(); for (;;) { if (!paused) { //Time measurment int64 e1 = getTickCount(); if (initialized){ if (!dataset->getNextFrame(frame)) break; frame.copyTo(image); } if (!initialized && selectObjects) { //Initialize the tracker and add targets for (int i = 0; i < (int)boundingBoxes.size(); i++) { if (!mt.addTarget(frame, boundingBoxes[i], createTrackerByName_legacy(tracker_algorithm))) { cout << "Trackers Init Error!!!"; return 0; } rectangle(frame, boundingBoxes[i], mt.colors[0], 2, 1); } initialized = true; } else if (initialized) { //Update all targets if (mt.update(frame)) { for (int i = 0; i < mt.targetNum; i++) { rectangle(frame, mt.boundingBoxes[i], mt.colors[i], 2, 1); } } } imshow("Tracking API", frame); frameCounter++; //Time measurment int64 e2 = getTickCount(); double t1 = (e2 - e1) / getTickFrequency(); cout << frameCounter << "\tframe : " << t1 * 1000.0 << "ms" << endl; } char c = (char)waitKey(2); if (c == 'q') break; if (c == 'p') paused = !paused; //waitKey(0); } //Time measurment int64 e4 = getTickCount(); double t2 = (e4 - e3) / getTickFrequency(); cout << "Average Time for Frame: " << t2 * 1000.0 / frameCounter << "ms" << endl; cout << "Average FPS: " << 1.0 / t2*frameCounter << endl; waitKey(0); return 0; } #else // ! HAVE_OPENCV_DATASETS #include int main() { CV_Error(cv::Error::StsNotImplemented , "this sample needs to be built with opencv_datasets !"); return -1; } #endif // HAVE_OPENCV_DATASETS