575 lines
15 KiB
C++
575 lines
15 KiB
C++
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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 "test_precomp.hpp"
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namespace opencv_test { namespace {
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#define TESTSET_NAMES testing::Values("david","dudek","faceocc2")
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const string TRACKING_DIR = "tracking";
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const string FOLDER_IMG = "data";
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const string FOLDER_OMIT_INIT = "initOmit";
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/*
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* The Evaluation Methodologies are partially based on:
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* ====================================================================================================================
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* [OTB] Y. Wu, J. Lim, and M.-H. Yang, "Online object tracking: A benchmark," in Computer Vision and Pattern Recognition (CVPR), 2013
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*
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*/
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enum BBTransformations
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{
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NoTransform = 0,
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CenterShiftLeft = 1,
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CenterShiftRight = 2,
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CenterShiftUp = 3,
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CenterShiftDown = 4,
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CornerShiftTopLeft = 5,
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CornerShiftTopRight = 6,
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CornerShiftBottomLeft = 7,
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CornerShiftBottomRight = 8,
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Scale_0_8 = 9,
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Scale_0_9 = 10,
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Scale_1_1 = 11,
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Scale_1_2 = 12
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};
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class TrackerTest
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{
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public:
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TrackerTest(Ptr<Tracker> _tracker, string _video, float _distanceThreshold,
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float _overlapThreshold, int _shift = NoTransform, int _segmentIdx = 1, int _numSegments = 10 );
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virtual ~TrackerTest();
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virtual void run();
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protected:
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void checkDataTest();
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void distanceAndOvrerlapTest();
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Ptr<Tracker> tracker;
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string video;
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std::vector<Rect> bbs;
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int startFrame;
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string suffix;
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string prefix;
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float overlapThreshold;
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float distanceThreshold;
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int segmentIdx;
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int shift;
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int numSegments;
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int gtStartFrame;
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int endFrame;
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vector<int> validSequence;
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private:
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float calcDistance( Rect a, Rect b );
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float calcOverlap( Rect a, Rect b );
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Rect applyShift(Rect bb);
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std::vector<std::string> splitString( std::string s, std::string delimiter );
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};
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TrackerTest::TrackerTest(Ptr<Tracker> _tracker, string _video, float _distanceThreshold,
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float _overlapThreshold, int _shift, int _segmentIdx, int _numSegments ) :
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tracker( _tracker ),
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video( _video ),
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overlapThreshold( _overlapThreshold ),
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distanceThreshold( _distanceThreshold ),
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segmentIdx(_segmentIdx),
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shift(_shift),
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numSegments(_numSegments)
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{
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}
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TrackerTest::~TrackerTest()
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{
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}
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std::vector<std::string> TrackerTest::splitString( std::string s, std::string delimiter )
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{
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std::vector<string> token;
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size_t pos = 0;
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while ( ( pos = s.find( delimiter ) ) != std::string::npos )
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{
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token.push_back( s.substr( 0, pos ) );
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s.erase( 0, pos + delimiter.length() );
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}
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token.push_back( s );
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return token;
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}
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float TrackerTest::calcDistance( Rect a, Rect b )
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{
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Point2f p_a( (float)(a.x + a.width / 2), (float)(a.y + a.height / 2) );
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Point2f p_b( (float)(b.x + b.width / 2), (float)(b.y + b.height / 2) );
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return sqrt( pow( p_a.x - p_b.x, 2 ) + pow( p_a.y - p_b.y, 2 ) );
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}
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float TrackerTest::calcOverlap( Rect a, Rect b )
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{
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float rectIntersectionArea = (float)(a & b).area();
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return rectIntersectionArea / (a.area() + b.area() - rectIntersectionArea);
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}
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Rect TrackerTest::applyShift(Rect bb)
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{
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Point center( bb.x + ( bb.width / 2 ), bb.y + ( bb.height / 2 ) );
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int xLimit = bb.x + bb.width - 1;
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int yLimit = bb.y + bb.height - 1;
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int h = 0;
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int w = 0;
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float ratio = 1.0;
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switch ( shift )
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{
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case CenterShiftLeft:
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bb.x = bb.x - (int)ceil( 0.1 * bb.width );
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break;
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case CenterShiftRight:
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bb.x = bb.x + (int)ceil( 0.1 * bb.width );
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break;
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case CenterShiftUp:
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bb.y = bb.y - (int)ceil( 0.1 * bb.height );
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break;
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case CenterShiftDown:
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bb.y = bb.y + (int)ceil( 0.1 * bb.height );
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break;
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case CornerShiftTopLeft:
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bb.x = (int)cvRound( bb.x - 0.1 * bb.width );
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bb.y = (int)cvRound( bb.y - 0.1 * bb.height );
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bb.width = xLimit - bb.x + 1;
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bb.height = yLimit - bb.y + 1;
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break;
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case CornerShiftTopRight:
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xLimit = (int)cvRound( xLimit + 0.1 * bb.width );
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bb.y = (int)cvRound( bb.y - 0.1 * bb.height );
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bb.width = xLimit - bb.x + 1;
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bb.height = yLimit - bb.y + 1;
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break;
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case CornerShiftBottomLeft:
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bb.x = (int)cvRound( bb.x - 0.1 * bb.width );
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yLimit = (int)cvRound( yLimit + 0.1 * bb.height );
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bb.width = xLimit - bb.x + 1;
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bb.height = yLimit - bb.y + 1;
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break;
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case CornerShiftBottomRight:
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xLimit = (int)cvRound( xLimit + 0.1 * bb.width );
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yLimit = (int)cvRound( yLimit + 0.1 * bb.height );
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bb.width = xLimit - bb.x + 1;
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bb.height = yLimit - bb.y + 1;
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break;
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case Scale_0_8:
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ratio = 0.8f;
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w = (int)(ratio * bb.width);
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h = (int)(ratio * bb.height);
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bb = Rect( center.x - ( w / 2 ), center.y - ( h / 2 ), w, h );
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break;
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case Scale_0_9:
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ratio = 0.9f;
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w = (int)(ratio * bb.width);
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h = (int)(ratio * bb.height);
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bb = Rect( center.x - ( w / 2 ), center.y - ( h / 2 ), w, h );
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break;
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case 11:
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//scale 1.1
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ratio = 1.1f;
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w = (int)(ratio * bb.width);
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h = (int)(ratio * bb.height);
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bb = Rect( center.x - ( w / 2 ), center.y - ( h / 2 ), w, h );
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break;
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case 12:
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//scale 1.2
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ratio = 1.2f;
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w = (int)(ratio * bb.width);
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h = (int)(ratio * bb.height);
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bb = Rect( center.x - ( w / 2 ), center.y - ( h / 2 ), w, h );
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break;
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default:
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break;
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}
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return bb;
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}
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void TrackerTest::distanceAndOvrerlapTest()
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{
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Mat frame;
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bool initialized = false;
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int fc = ( startFrame - gtStartFrame );
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bbs.at( fc ) = applyShift(bbs.at( fc ));
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Rect currentBBi = bbs.at( fc );
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Rect2d currentBB(currentBBi);
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float sumDistance = 0;
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float sumOverlap = 0;
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string folder = cvtest::TS::ptr()->get_data_path() + "/" + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG;
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VideoCapture c;
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c.open( folder + "/" + video + ".webm" );
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c.set( CAP_PROP_POS_FRAMES, startFrame );
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for ( int frameCounter = startFrame; frameCounter < endFrame; frameCounter++ )
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{
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c >> frame;
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if( frame.empty() )
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{
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break;
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}
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if( !initialized )
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{
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if( !tracker->init( frame, currentBB ) )
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{
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FAIL()<< "Could not initialize tracker" << endl;
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return;
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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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if( frameCounter >= (int) bbs.size() )
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break;
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tracker->update( frame, currentBB );
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}
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float curDistance = calcDistance( currentBB, bbs.at( fc ) );
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float curOverlap = calcOverlap( currentBB, bbs.at( fc ) );
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sumDistance += curDistance;
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sumOverlap += curOverlap;
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fc++;
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}
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float meanDistance = sumDistance / (endFrame - startFrame);
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float meanOverlap = sumOverlap / (endFrame - startFrame);
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if( meanDistance > distanceThreshold )
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{
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FAIL()<< "Incorrect distance: curr = " << meanDistance << ", max = " << distanceThreshold << endl;
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return;
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}
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if( meanOverlap < overlapThreshold )
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{
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FAIL()<< "Incorrect overlap: curr = " << meanOverlap << ", min = " << overlapThreshold << endl;
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return;
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}
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}
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void TrackerTest::checkDataTest()
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{
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FileStorage fs;
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fs.open( cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + video + ".yml", FileStorage::READ );
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fs["start"] >> startFrame;
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fs["prefix"] >> prefix;
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fs["suffix"] >> suffix;
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fs.release();
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string gtFile = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/gt.txt";
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std::ifstream gt;
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//open the ground truth
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gt.open( gtFile.c_str() );
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if( !gt.is_open() )
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{
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FAIL()<< "Ground truth file " << gtFile << " can not be read" << endl;
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}
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string line;
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int bbCounter = 0;
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while ( getline( gt, line ) )
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{
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bbCounter++;
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}
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gt.close();
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int seqLength = bbCounter;
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for ( int i = startFrame; i < seqLength; i++ )
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{
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validSequence.push_back( i );
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}
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//exclude from the images sequence, the frames where the target is occluded or out of view
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string omitFile = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + FOLDER_OMIT_INIT + "/" + video + ".txt";
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std::ifstream omit;
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omit.open( omitFile.c_str() );
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if( omit.is_open() )
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{
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string omitLine;
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while ( getline( omit, omitLine ) )
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{
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vector<string> tokens = splitString( omitLine, " " );
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int s_start = atoi( tokens.at( 0 ).c_str() );
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int s_end = atoi( tokens.at( 1 ).c_str() );
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for ( int k = s_start; k <= s_end; k++ )
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{
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std::vector<int>::iterator position = std::find( validSequence.begin(), validSequence.end(), k );
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if( position != validSequence.end() )
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validSequence.erase( position );
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}
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}
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}
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omit.close();
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gtStartFrame = startFrame;
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//compute the start and the and for each segment
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int numFrame = (int)(validSequence.size() / numSegments);
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startFrame += ( segmentIdx - 1 ) * numFrame;
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endFrame = startFrame + numFrame;
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std::ifstream gt2;
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//open the ground truth
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gt2.open( gtFile.c_str() );
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if( !gt2.is_open() )
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{
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FAIL()<< "Ground truth file " << gtFile << " can not be read" << endl;
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}
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string line2;
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int bbCounter2 = 0;
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while ( getline( gt2, line2 ) )
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{
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vector<string> tokens = splitString( line2, "," );
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Rect bb( atoi( tokens.at( 0 ).c_str() ), atoi( tokens.at( 1 ).c_str() ), atoi( tokens.at( 2 ).c_str() ), atoi( tokens.at( 3 ).c_str() ) );
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if( tokens.size() != 4 )
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{
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FAIL()<< "Incorrect ground truth file";
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}
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bbs.push_back( bb );
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bbCounter2++;
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}
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gt2.close();
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if( segmentIdx == numSegments )
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endFrame = (int)bbs.size();
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}
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void TrackerTest::run()
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{
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srand( 1 );
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SCOPED_TRACE( "A" );
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if( !tracker )
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{
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FAIL()<< "Error in the instantiation of the tracker" << endl;
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return;
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}
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checkDataTest();
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//check for failure
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if( ::testing::Test::HasFatalFailure() )
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return;
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distanceAndOvrerlapTest();
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}
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/****************************************************************************************\
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* Tests registrations *
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\****************************************************************************************/
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//[TESTDATA]
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PARAM_TEST_CASE(DistanceAndOverlap, string)
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{
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string dataset;
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virtual void SetUp()
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{
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dataset = GET_PARAM(0);
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}
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};
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TEST_P(DistanceAndOverlap, MedianFlow)
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{
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TrackerTest test( TrackerMedianFlow::create(), dataset, 35, .5f, NoTransform, 1, 1);
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test.run();
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}
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TEST_P(DistanceAndOverlap, MIL)
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{
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TrackerTest test( TrackerMIL::create(), dataset, 30, .65f, NoTransform);
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test.run();
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}
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||
|
TEST_P(DistanceAndOverlap, Boosting)
|
||
|
{
|
||
|
TrackerTest test( TrackerBoosting::create(), dataset, 70, .7f, NoTransform);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, KCF)
|
||
|
{
|
||
|
TrackerTest test( TrackerKCF::create(), dataset, 20, .35f, NoTransform, 5);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, TLD)
|
||
|
{
|
||
|
TrackerTest test( TrackerTLD::create(), dataset, 40, .45f, NoTransform);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, MOSSE)
|
||
|
{
|
||
|
TrackerTest test( TrackerMOSSE::create(), dataset, 22, .7f, NoTransform);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, CSRT)
|
||
|
{
|
||
|
TrackerTest test( TrackerCSRT::create(), dataset, 22, .7f, NoTransform);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
/***************************************************************************************/
|
||
|
//Tests with shifted initial window
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_MedianFlow)
|
||
|
{
|
||
|
TrackerTest test( TrackerMedianFlow::create(), dataset, 80, .2f, CenterShiftLeft, 1, 1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_MIL)
|
||
|
{
|
||
|
TrackerTest test( TrackerMIL::create(), dataset, 30, .6f, CenterShiftLeft);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_Boosting)
|
||
|
{
|
||
|
TrackerTest test( TrackerBoosting::create(), dataset, 80, .65f, CenterShiftLeft);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_KCF)
|
||
|
{
|
||
|
TrackerTest test( TrackerKCF::create(), dataset, 20, .4f, CenterShiftLeft, 5);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_TLD)
|
||
|
{
|
||
|
TrackerTest test( TrackerTLD::create(), dataset, 30, .35f, CenterShiftLeft);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_MOSSE)
|
||
|
{
|
||
|
TrackerTest test( TrackerMOSSE::create(), dataset, 13, .69f, CenterShiftLeft);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Shifted_Data_CSRT)
|
||
|
{
|
||
|
TrackerTest test( TrackerCSRT::create(), dataset, 13, .69f, CenterShiftLeft);
|
||
|
test.run();
|
||
|
}
|
||
|
/***************************************************************************************/
|
||
|
//Tests with scaled initial window
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_MedianFlow)
|
||
|
{
|
||
|
TrackerTest test( TrackerMedianFlow::create(), dataset, 25, .5f, Scale_1_1, 1, 1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_MIL)
|
||
|
{
|
||
|
TrackerTest test( TrackerMIL::create(), dataset, 30, .7f, Scale_1_1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_Boosting)
|
||
|
{
|
||
|
TrackerTest test( TrackerBoosting::create(), dataset, 80, .7f, Scale_1_1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_KCF)
|
||
|
{
|
||
|
TrackerTest test( TrackerKCF::create(), dataset, 20, .4f, Scale_1_1, 5);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_TLD)
|
||
|
{
|
||
|
TrackerTest test( TrackerTLD::create(), dataset, 30, .45f, Scale_1_1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, DISABLED_GOTURN)
|
||
|
{
|
||
|
TrackerTest test(TrackerGOTURN::create(), dataset, 18, .5f, NoTransform);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_MOSSE)
|
||
|
{
|
||
|
TrackerTest test( TrackerMOSSE::create(), dataset, 22, 0.69f, Scale_1_1, 1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
TEST_P(DistanceAndOverlap, Scaled_Data_CSRT)
|
||
|
{
|
||
|
TrackerTest test( TrackerCSRT::create(), dataset, 22, 0.69f, Scale_1_1, 1);
|
||
|
test.run();
|
||
|
}
|
||
|
|
||
|
|
||
|
INSTANTIATE_TEST_CASE_P( Tracking, DistanceAndOverlap, TESTSET_NAMES);
|
||
|
|
||
|
}} // namespace
|
||
|
/* End of file. */
|