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243 lines
7.0 KiB
243 lines
7.0 KiB
/*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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