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/*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/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 <iostream>
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using namespace std;
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using namespace cv;
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#define NUM_TEST_FRAMES 100
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#define TEST_VIDEO_INDEX 15 //TLD Dataset Video Index from 1-10 for TLD and 1-60 for VOT
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//#define RECORD_VIDEO_FLG
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static Mat image;
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static bool paused;
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static bool selectObject = false;
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static bool startSelection = false;
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Rect2d boundingBox;
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static void onMouse(int event, int x, int y, int, void*)
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{
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if (!selectObject)
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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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paused = false;
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selectObject = true;
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break;
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case EVENT_MOUSEMOVE:
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if (startSelection && !selectObject)
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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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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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int main()
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{
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//
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// "MIL", "BOOSTING", "MEDIANFLOW", "TLD"
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//
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char* tracker_algorithm_name = "TLD";
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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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//Get the first frame
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////Open the capture
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// VideoCapture cap(0);
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// if( !cap.isOpened() )
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// {
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// cout << "Video stream error";
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// return;
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// }
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//cap >> frame;
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//From TLD dataset
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selectObject = true;
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Rect2d boundingBox1 = tld::tld_InitDataset(TEST_VIDEO_INDEX, "D:/opencv/VOT 2015", 1);
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Rect2d boundingBox2;
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boundingBox2.x = 470;
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boundingBox2.y = 500;
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boundingBox2.width = 50;
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boundingBox2.height = 100;
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frame = tld::tld_getNextDatasetFrame();
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frame.copyTo(image);
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// Setup output video
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#ifdef RECORD_VIDEO_FLG
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String outputFilename = "test.avi";
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VideoWriter outputVideo;
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outputVideo.open(outputFilename, -1, 30, Size(image.cols, image.rows));
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if (!outputVideo.isOpened())
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{
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std::cout << "!!! Output video could not be opened" << std::endl;
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getchar();
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return;
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}
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#endif
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rectangle(image, boundingBox, 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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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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//Time measurment
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int64 e1 = getTickCount();
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//Frame num
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frameCounter++;
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if (frameCounter == NUM_TEST_FRAMES) break;
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char c = (char)waitKey(2);
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if (c == 'q' || c == 27)
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break;
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if (c == 'p')
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paused = !paused;
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if (!paused)
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{
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//cap >> frame;
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frame = tld::tld_getNextDatasetFrame();
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if (frame.empty())
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{
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break;
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}
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frame.copyTo(image);
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if (selectObject)
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{
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if (!initialized)
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{
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//initializes the tracker
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mt.addTarget(frame, boundingBox1, tracker_algorithm_name);
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rectangle(image, boundingBox1, mt.colors[0], 2, 1);
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mt.addTarget(frame, boundingBox2, tracker_algorithm_name);
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rectangle(image, boundingBox2, mt.colors[1], 2, 1);
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initialized = true;
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}
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else
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{
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//updates the tracker
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if (mt.update_opt(frame))
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{
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for (int i = 0; i < mt.targetNum; i++)
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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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#ifdef RECORD_VIDEO_FLG
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outputVideo << image;
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#endif
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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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//waitKey(0);
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}
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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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