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/*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*/
//
// !!! this sample requires the opencv_datasets module !!!
//
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_DATASETS
#include "opencv2/datasets/track_vot.hpp"
#include <opencv2/core/utility.hpp>
#include <opencv2/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include "samples_utility.hpp"
#include <iostream>
using namespace std;
using namespace cv;
using namespace cv::datasets;
#define NUM_TEST_FRAMES 300
#define TEST_VIDEO_INDEX 1 //TLD Dataset Video Index from 1-10
//#define RECORD_VIDEO_FLG
static Mat image;
static Rect2d boundingBox;
static bool paused;
static bool selectObject = false;
static bool startSelection = false;
static const char* keys =
{ "{@tracker_algorithm | | Tracker algorithm }"
"{@dataset_path |true| Dataset path }"
"{@dataset_id |1| Dataset ID }"
};
static void onMouse(int event, int x, int y, int, void*)
{
if (!selectObject)
{
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);
paused = false;
selectObject = true;
break;
case EVENT_MOUSEMOVE:
if (startSelection && !selectObject)
{
//draw the bounding box
Mat currentFrame;
image.copyTo(currentFrame);
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 box around the target to start the tracker\n"
"Example:\n"
"./example_tracking_tracker_dataset <tracker_algorithm> <dataset_path> <dataset_id>\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<string>(0);
string datasetRootPath = parser.get<string>(1);
int datasetID = parser.get<int>(2);
if (tracker_algorithm.empty() || datasetRootPath.empty())
{
help();
return -1;
}
Mat frame;
paused = false;
namedWindow("Tracking API", 0);
setMouseCallback("Tracking API", onMouse, 0);
//Create Tracker
Ptr<Tracker> tracker = createTrackerByName(tracker_algorithm);
if (!tracker)
{
cout << "***Error in the instantiation of the tracker...***\n";
getchar();
return 0;
}
//Init Dataset
Ptr<TRACK_vot> dataset = TRACK_vot::create();
dataset->load(datasetRootPath);
dataset->initDataset(datasetID);
//Read first frame
dataset->getNextFrame(frame);
frame.copyTo(image);
rectangle(image, boundingBox, 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 && selectObject)
{
//initializes the tracker
if (!tracker->init(frame, boundingBox))
{
cout << "***Could not initialize tracker...***\n";
return -1;
}
initialized = true;
}
else if (initialized)
{
//updates the tracker
if (tracker->update(frame, boundingBox))
{
rectangle(image, boundingBox, Scalar(255, 0, 0), 2, 1);
}
}
imshow("Tracking API", image);
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 <opencv2/core.hpp>
int main() {
CV_Error(cv::Error::StsNotImplemented , "this sample needs to be built with opencv_datasets !");
return -1;
}
#endif // HAVE_OPENCV_DATASETS