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522 lines
14 KiB
522 lines
14 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 "test_precomp.hpp" |
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#include "opencv2/tracking.hpp" |
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#include <fstream> |
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using namespace cv; |
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using namespace testing; |
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using namespace std; |
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#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > > |
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#define GET_PARAM(k) std::tr1::get< k >(GetParam()) |
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#define TESTSET_NAMES testing::Values("david","dudek","faceocc2") |
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#define LOCATION_ERROR_THRESHOLD testing::Values(0, 10, 20, 30, 40, 50) |
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#define OVERLAP_THRESHOLD testing::Values(0, 0.2, 0.4, 0.6, 0.8, 1) |
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#define SPATIAL_SHIFTS testing::Values(1, 2, 3, 4, 5, 6, 7, 8, 9, 10 , 11, 12) |
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const string TRACKING_DIR = "tracking"; |
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const string FOLDER_IMG = "data"; |
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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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//Robustness Evaluation, see [OTB] chapter 4. SRE Spatial robustness evaluation |
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class TrackerSRETest |
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{ |
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public: |
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enum |
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{ |
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DISTANCE = 1, // test trackers based on euclidean distance |
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OVERLAP = 2 // test trackers based on the overlapping ratio |
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}; |
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TrackerSRETest( const Ptr<Tracker> _tracker, int _testType, string _video, int _shift, float _threshold ); |
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virtual ~TrackerSRETest(); |
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virtual void run(); |
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string getRatioSucc() const; |
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protected: |
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void checkDataTest(); |
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void distanceTest(); |
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void overlapTest(); |
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Ptr<Tracker> tracker; |
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int testType; |
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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 threshold; |
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int shift; |
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float ratioSucc; |
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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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std::vector<std::string> splitString( std::string s, std::string delimiter ); |
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}; |
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TrackerSRETest::TrackerSRETest( const Ptr<Tracker> _tracker, int _testType, string _video, int _shift, float _threshold ) : |
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tracker( _tracker ), |
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testType( _testType ), |
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video( _video ), |
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threshold( _threshold ), |
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shift( _shift ) |
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{ |
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startFrame = 1; |
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ratioSucc = 0; |
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} |
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TrackerSRETest::~TrackerSRETest() |
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{ |
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} |
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string TrackerSRETest::getRatioSucc() const |
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{ |
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stringstream ratio; |
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ratio << ratioSucc; |
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return ratio.str(); |
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} |
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std::vector<std::string> TrackerSRETest::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 TrackerSRETest::calcDistance( Rect a, Rect b ) |
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{ |
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Point2f p_a( a.x + a.width / 2, a.y + a.height / 2 ); |
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Point2f p_b( b.x + b.width / 2, 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 TrackerSRETest::calcOverlap( Rect a, Rect b ) |
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{ |
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float aArea = a.width * a.height; |
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float bArea = b.width * b.height; |
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if( aArea < bArea ) |
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{ |
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a.x -= ( b.width - a.width ) / 2; |
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a.y -= ( b.height - a.height ) / 2; |
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a.width = b.width; |
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a.height = b.height; |
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} |
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else |
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{ |
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b.x -= ( a.width - b.width ) / 2; |
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b.y -= ( a.height - b.height ) / 2; |
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b.width = a.width; |
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b.height = a.height; |
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} |
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Rect rectIntersection = a & b; |
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Rect rectUnion = a | b; |
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float iArea = rectIntersection.width * rectIntersection.height; |
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float uArea = rectUnion.width * rectUnion.height; |
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float overlap = iArea / uArea; |
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return overlap; |
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} |
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void TrackerSRETest::distanceTest() |
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{ |
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Mat frame; |
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bool initialized = false; |
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Rect currentBBi = bbs.at( 0 ); |
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Rect2d currentBB(currentBBi); |
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float sumDistance = 0; |
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int frameCounter = 0; |
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int frameCounterSucc = 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( cvtest::TS::ptr()->get_data_path() + "/" + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG + "/" + video + ".webm" ); |
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c.set( CAP_PROP_POS_FRAMES, startFrame ); |
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for ( ;; ) |
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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( frameCounter ) ); |
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if( curDistance <= threshold ) |
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frameCounterSucc++; |
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sumDistance += curDistance; |
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frameCounter++; |
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} |
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float distance = sumDistance / frameCounter; |
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ratioSucc = (float) frameCounterSucc / (float) frameCounter; |
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if( distance > threshold ) |
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{ |
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FAIL()<< "Incorrect distance: curr = " << distance << ", max = " << threshold << endl; |
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return; |
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} |
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} |
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void TrackerSRETest::overlapTest() |
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{ |
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Mat frame; |
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bool initialized = false; |
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Rect currentBBi = bbs.at( 0 ); |
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Rect2d currentBB(currentBBi); |
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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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int frameCounter = 0; |
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int frameCounterSucc = 0; |
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VideoCapture c; |
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c.open( cvtest::TS::ptr()->get_data_path() + "/" + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG + "/" + video + ".webm" ); |
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c.set( CAP_PROP_POS_FRAMES, startFrame ); |
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for ( ;; ) |
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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 curOverlap = calcOverlap( currentBB, bbs.at( frameCounter ) ); |
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if( curOverlap >= threshold ) |
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frameCounterSucc++; |
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sumOverlap += curOverlap; |
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frameCounter++; |
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} |
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float overlap = sumOverlap / frameCounter; |
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ratioSucc = (float) frameCounterSucc / (float) frameCounter; |
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if( overlap < threshold ) |
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{ |
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FAIL()<< "Incorrect overlap: curr = " << overlap << ", min = " << threshold << endl; |
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return; |
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} |
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} |
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void TrackerSRETest::checkDataTest() |
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{ |
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string gtFile = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/gt.txt"; |
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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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vector<string> tokens = splitString( line, "," ); |
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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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//apply the shift |
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if( bbCounter == 0 ) |
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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 1: |
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//center shift left |
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bb.x = bb.x - ceil( 0.1 * bb.width ); |
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break; |
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case 2: |
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//center shift right |
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bb.x = bb.x + ceil( 0.1 * bb.width ); |
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break; |
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case 3: |
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//center shift up |
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bb.y = bb.y - ceil( 0.1 * bb.height ); |
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break; |
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case 4: |
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//center shift down |
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bb.y = bb.y + ceil( 0.1 * bb.height ); |
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break; |
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case 5: |
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//corner shift top-left |
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bb.x = round( bb.x - ( 0.1 * bb.width ) ); |
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bb.y = round( 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 6: |
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//corner shift top-right |
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xLimit = round( xLimit + 0.1 * bb.width ); |
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bb.y = round( 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 7: |
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//corner shift bottom-left |
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bb.x = round( bb.x - ( 0.1 * bb.width ) ); |
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yLimit = round( 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 8: |
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//corner shift bottom-right |
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xLimit = round( xLimit + 0.1 * bb.width ); |
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yLimit = round( 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 9: |
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//scale 0.8 |
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ratio = 0.8; |
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w = ratio * bb.width; |
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h = 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 10: |
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//scale 0.9 |
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ratio = 0.9; |
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w = ratio * bb.width; |
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h = 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 = 1.1; |
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w = ratio * bb.width; |
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h = 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 = 1.2; |
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w = ratio * bb.width; |
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h = 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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} |
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bbs.push_back( bb ); |
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bbCounter++; |
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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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} |
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void TrackerSRETest::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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if( testType == DISTANCE ) |
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{ |
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distanceTest(); |
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} |
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else if( testType == OVERLAP ) |
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{ |
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overlapTest(); |
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} |
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else |
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{ |
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FAIL()<< "Test type unknown" << endl; |
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return; |
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} |
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} |
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/****************************************************************************************\ |
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* Tests registrations * |
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\****************************************************************************************/ |
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//[TESTDATA] [#SHIFT] [LOCATION ERROR THRESHOLD] |
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PARAM_TEST_CASE(SRE_Distance, string, int, float) |
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{ |
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string dataset; |
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int shift; |
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float threshold; |
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virtual void SetUp() |
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{ |
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dataset = GET_PARAM(0); |
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shift = GET_PARAM(1); |
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threshold = GET_PARAM(2); |
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} |
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}; |
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//[TESTDATA] [#SHIFT] [OVERLAP THRESHOLD] |
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PARAM_TEST_CASE(SRE_Overlap, string, int, float) |
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{ |
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string dataset; |
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int shift; |
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float threshold; |
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virtual void SetUp() |
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{ |
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dataset = GET_PARAM(0); |
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shift = GET_PARAM(1); |
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threshold = GET_PARAM(2); |
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} |
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}; |
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TEST_P(SRE_Distance, MIL) |
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{ |
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TrackerSRETest test( Tracker::create( "MIL" ), TrackerSRETest::DISTANCE, dataset, shift, threshold ); |
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test.run(); |
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RecordProperty( "ratioSuccess", test.getRatioSucc() ); |
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} |
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TEST_P(SRE_Overlap, MIL) |
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{ |
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TrackerSRETest test( Tracker::create( "MIL" ), TrackerSRETest::OVERLAP, dataset, shift, threshold ); |
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test.run(); |
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RecordProperty( "ratioSuccess", test.getRatioSucc() ); |
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} |
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TEST_P(SRE_Distance, Boosting) |
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{ |
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TrackerSRETest test( Tracker::create( "BOOSTING" ), TrackerSRETest::DISTANCE, dataset, shift, threshold ); |
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test.run(); |
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RecordProperty( "ratioSuccess", test.getRatioSucc() ); |
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} |
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TEST_P(SRE_Overlap, Boosting) |
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{ |
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TrackerSRETest test( Tracker::create( "BOOSTING" ), TrackerSRETest::OVERLAP, dataset, shift, threshold ); |
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test.run(); |
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RecordProperty( "ratioSuccess", test.getRatioSucc() ); |
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} |
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INSTANTIATE_TEST_CASE_P( Tracking, SRE_Distance, testing::Combine( TESTSET_NAMES, SPATIAL_SHIFTS, LOCATION_ERROR_THRESHOLD ) ); |
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INSTANTIATE_TEST_CASE_P( Tracking, SRE_Overlap, testing::Combine( TESTSET_NAMES, SPATIAL_SHIFTS, OVERLAP_THRESHOLD ) ); |
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/* End of file. */
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