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