Repository for OpenCV's extra modules
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

493 lines
14 KiB

/*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*/
#include "test_precomp.hpp"
#include "opencv2/tracking.hpp"
#include <fstream>
#include <algorithm>
using namespace cv;
using namespace testing;
using namespace std;
#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
#define GET_PARAM(k) std::tr1::get< k >(GetParam())
#define TESTSET_NAMES testing::Values("david","dudek","faceocc2")
#define LOCATION_ERROR_THRESHOLD testing::Values(0, 10, 20, 30, 40, 50)
#define OVERLAP_THRESHOLD testing::Values(0, 0.2, 0.4, 0.6, 0.8, 1)
//Fixed sampling on the images sequence
#define SEGMENTS testing::Values(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
const string TRACKING_DIR = "tracking";
const string FOLDER_IMG = "data";
const string FOLDER_OMIT_INIT = "initOmit";
/*
* The Evaluation Methodologies are partially based on:
* ====================================================================================================================
* [OTB] Y. Wu, J. Lim, and M.-H. Yang, "Online object tracking: A benchmark," in Computer Vision and Pattern Recognition (CVPR), 2013
*
*/
//Robustness Evaluation, see [OTB] chapter 4. temporal robustness evaluation
//each sequence is partitioned into 10 (fixed) segments, slight change respect to [OTB]
class TrackerTRETest
{
public:
enum
{
DISTANCE = 1, // test trackers based on euclidean distance
OVERLAP = 2 // test trackers based on the overlapping ratio
};
TrackerTRETest( const Ptr<Tracker> _tracker, int _testType, string _video, float _threshold, int _segmentIdx );
virtual ~TrackerTRETest();
virtual void run();
string getRatioSucc() const;
protected:
void checkDataTest();
void distanceTest();
void overlapTest();
Ptr<Tracker> tracker;
int testType;
string video;
std::vector<Rect> bbs;
int gtStartFrame;
int startFrame;
int endFrame;
string suffix;
string prefix;
float threshold;
int segmentIdx;
vector<int> validSequence;
float ratioSucc;
private:
float calcDistance( Rect a, Rect b );
float calcOverlap( Rect a, Rect b );
std::vector<std::string> splitString( std::string s, std::string delimiter );
};
TrackerTRETest::TrackerTRETest( const Ptr<Tracker> _tracker, int _testType, string _video, float _threshold, int _segmentIdx ) :
tracker( _tracker ),
testType( _testType ),
video( _video ),
threshold( _threshold ),
segmentIdx( _segmentIdx )
{
startFrame = 1;
endFrame = 1;
gtStartFrame = 1;
ratioSucc = 0;
}
TrackerTRETest::~TrackerTRETest()
{
}
string TrackerTRETest::getRatioSucc() const
{
stringstream ratio;
ratio << ratioSucc;
return ratio.str();
}
std::vector<std::string> TrackerTRETest::splitString( std::string s, std::string delimiter )
{
std::vector<string> token;
size_t pos = 0;
while ( ( pos = s.find( delimiter ) ) != std::string::npos )
{
token.push_back( s.substr( 0, pos ) );
s.erase( 0, pos + delimiter.length() );
}
token.push_back( s );
return token;
}
float TrackerTRETest::calcDistance( Rect a, Rect b )
{
Point2f p_a( a.x + a.width / 2, a.y + a.height / 2 );
Point2f p_b( b.x + b.width / 2, b.y + b.height / 2 );
return sqrt( pow( p_a.x - p_b.x, 2 ) + pow( p_a.y - p_b.y, 2 ) );
}
float TrackerTRETest::calcOverlap( Rect a, Rect b )
{
float aArea = a.width * a.height;
float bArea = b.width * b.height;
if( aArea < bArea )
{
a.x -= ( b.width - a.width ) / 2;
a.y -= ( b.height - a.height ) / 2;
a.width = b.width;
a.height = b.height;
}
else
{
b.x -= ( a.width - b.width ) / 2;
b.y -= ( a.height - b.height ) / 2;
b.width = a.width;
b.height = a.height;
}
Rect rectIntersection = a & b;
Rect rectUnion = a | b;
float iArea = rectIntersection.width * rectIntersection.height;
float uArea = rectUnion.width * rectUnion.height;
float overlap = iArea / uArea;
return overlap;
}
void TrackerTRETest::distanceTest()
{
Mat frame;
bool initialized = false;
int fc = ( startFrame - gtStartFrame );
Rect currentBBi = bbs.at( fc );
Rect2d currentBB(currentBBi);
float sumDistance = 0;
string folder = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG;
int frameTotal = 0;
int frameTotalSucc = 0;
VideoCapture c;
c.open( cvtest::TS::ptr()->get_data_path() + "/" + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG + "/" + video + ".webm" );
c.set( CAP_PROP_POS_FRAMES, startFrame );
for ( int frameCounter = startFrame; frameCounter < endFrame; frameCounter++ )
{
c >> frame;
if( frame.empty() )
{
break;
}
if( !initialized )
{
if( !tracker->init( frame, currentBB ) )
{
FAIL()<< "Could not initialize tracker" << endl;
return;
}
initialized = true;
}
else if( initialized )
{
if( frameCounter >= (int) bbs.size() )
break;
tracker->update( frame, currentBB );
}
float curDistance = calcDistance( currentBB, bbs.at( fc ) );
if( curDistance <= threshold )
frameTotalSucc++;
sumDistance += curDistance;
fc++;
frameTotal++;
}
float distance = sumDistance / ( fc - ( startFrame - gtStartFrame ) );
ratioSucc = (float) frameTotalSucc / (float) frameTotal;
if( distance > threshold )
{
FAIL()<< "Incorrect distance: curr = " << distance << ", min = " << threshold << endl;
return;
}
}
void TrackerTRETest::overlapTest()
{
Mat frame;
bool initialized = false;
int fc = ( startFrame - gtStartFrame );
Rect currentBBi = bbs.at( fc );
Rect2d currentBB(currentBBi);
float sumOverlap = 0;
string folder = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG;
int frameTotal = 0;
int frameTotalSucc = 0;
VideoCapture c;
c.open( cvtest::TS::ptr()->get_data_path() + "/" + TRACKING_DIR + "/" + video + "/" + FOLDER_IMG + "/" + video + ".webm" );
c.set( CAP_PROP_POS_FRAMES, startFrame );
for ( int frameCounter = startFrame; frameCounter < endFrame; frameCounter++ )
{
c >> frame;
if( frame.empty() )
{
break;
}
if( !initialized )
{
if( !tracker->init( frame, currentBB ) )
{
FAIL()<< "Could not initialize tracker" << endl;
return;
}
initialized = true;
}
else if( initialized )
{
if( frameCounter >= (int) bbs.size() )
break;
tracker->update( frame, currentBB );
}
float curOverlap = calcOverlap( currentBB, bbs.at( fc ) );
if( curOverlap >= threshold )
frameTotalSucc++;
sumOverlap += curOverlap;
frameTotal++;
fc++;
}
float overlap = sumOverlap / ( fc - ( startFrame - gtStartFrame ) );
ratioSucc = (float) frameTotalSucc / (float) frameTotal;
if( overlap < threshold )
{
FAIL()<< "Incorrect overlap: curr = " << overlap << ", min = " << threshold << endl;
return;
}
}
void TrackerTRETest::checkDataTest()
{
FileStorage fs;
fs.open( cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + video + ".yml", FileStorage::READ );
fs["start"] >> startFrame;
fs["prefix"] >> prefix;
fs["suffix"] >> suffix;
fs.release();
string gtFile = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/gt.txt";
ifstream gt;
//open the ground truth
gt.open( gtFile.c_str() );
if( !gt.is_open() )
{
FAIL()<< "Ground truth file " << gtFile << " can not be read" << endl;
}
string line;
int bbCounter = 0;
while ( getline( gt, line ) )
{
bbCounter++;
}
gt.close();
int seqLength = bbCounter;
for ( int i = startFrame; i < seqLength; i++ )
{
validSequence.push_back( i );
}
//exclude from the images sequence, the frames where the target is occluded or out of view
string omitFile = cvtest::TS::ptr()->get_data_path() + TRACKING_DIR + "/" + video + "/" + FOLDER_OMIT_INIT + "/" + video + ".txt";
ifstream omit;
omit.open( omitFile.c_str() );
if( omit.is_open() )
{
string omitLine;
while ( getline( omit, omitLine ) )
{
vector<string> tokens = splitString( omitLine, " " );
int s_start = atoi( tokens.at( 0 ).c_str() );
int s_end = atoi( tokens.at( 1 ).c_str() );
for ( int k = s_start; k <= s_end; k++ )
{
std::vector<int>::iterator position = std::find( validSequence.begin(), validSequence.end(), k );
if( position != validSequence.end() )
validSequence.erase( position );
}
}
}
omit.close();
gtStartFrame = startFrame;
//compute the start and the and for each segment
int segmentLength = sizeof ( SEGMENTS)/sizeof(int);
int numFrame = validSequence.size() / segmentLength;
startFrame += ( segmentIdx - 1 ) * numFrame;
endFrame = startFrame + numFrame;
ifstream gt2;
//open the ground truth
gt2.open( gtFile.c_str() );
if( !gt2.is_open() )
{
FAIL()<< "Ground truth file " << gtFile << " can not be read" << endl;
}
string line2;
int bbCounter2 = 0;
while ( getline( gt2, line2 ) )
{
vector<string> tokens = splitString( line2, "," );
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() ) );
if( tokens.size() != 4 )
{
FAIL()<< "Incorrect ground truth file";
}
bbs.push_back( bb );
bbCounter2++;
}
gt2.close();
if( segmentIdx == ( sizeof ( SEGMENTS)/sizeof(int) ) )
endFrame = bbs.size();
}
void TrackerTRETest::run()
{
srand( 1 );
SCOPED_TRACE( "A" );
if( !tracker )
{
FAIL()<< "Error in the instantiation of the tracker" << endl;
return;
}
checkDataTest();
//check for failure
if( ::testing::Test::HasFatalFailure() )
return;
if( testType == DISTANCE )
{
distanceTest();
}
else if( testType == OVERLAP )
{
overlapTest();
}
else
{
FAIL()<< "Test type unknown" << endl;
return;
}
}
/****************************************************************************************\
* Tests registrations *
\****************************************************************************************/
//[TESTDATA] [#SEGMENT] [LOCATION ERROR THRESHOLD]
PARAM_TEST_CASE(TRE_Distance, string, int, float)
{
int segment;
string dataset;
float threshold;
virtual void SetUp()
{
dataset = GET_PARAM(0);
segment = GET_PARAM(1);
threshold = GET_PARAM(2);
}
};
//[TESTDATA] [#SEGMENT] [OVERLAP THRESHOLD]
PARAM_TEST_CASE(TRE_Overlap, string, int, float)
{
int segment;
string dataset;
float threshold;
virtual void SetUp()
{
dataset = GET_PARAM(0);
segment = GET_PARAM(1);
threshold = GET_PARAM(2);
}
};
TEST_P(TRE_Distance, MIL)
{
TrackerTRETest test( Tracker::create( "MIL" ), TrackerTRETest::DISTANCE, dataset, threshold, segment );
test.run();
RecordProperty( "ratioSuccess", test.getRatioSucc() );
}
TEST_P(TRE_Overlap, MIL)
{
TrackerTRETest test( Tracker::create( "MIL" ), TrackerTRETest::OVERLAP, dataset, threshold, segment );
test.run();
RecordProperty( "ratioSuccess", test.getRatioSucc() );
}
TEST_P(TRE_Distance, Boosting)
{
TrackerTRETest test( Tracker::create( "BOOSTING" ), TrackerTRETest::DISTANCE, dataset, threshold, segment );
test.run();
RecordProperty( "ratioSuccess", test.getRatioSucc() );
}
TEST_P(TRE_Overlap, Boosting)
{
TrackerTRETest test( Tracker::create( "BOOSTING" ), TrackerTRETest::OVERLAP, dataset, threshold, segment );
test.run();
RecordProperty( "ratioSuccess", test.getRatioSucc() );
}
INSTANTIATE_TEST_CASE_P( Tracking, TRE_Distance, testing::Combine( TESTSET_NAMES, SEGMENTS, LOCATION_ERROR_THRESHOLD ) );
INSTANTIATE_TEST_CASE_P( Tracking, TRE_Overlap, testing::Combine( TESTSET_NAMES, SEGMENTS, OVERLAP_THRESHOLD ) );
/* End of file. */