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saliency: remove broken perf tests

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pull/1390/head
Vladislav Sovrasov 8 years ago
parent cf68a01138
commit e1cd60c96e
6 changed files with 2 additions and 325 deletions
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  1. 3
      modules/saliency/perf/perf_main.cpp
  2. 106
      modules/saliency/perf/perf_motionSaliencyBinWangApr2014.cpp
  3. 108
      modules/saliency/perf/perf_objectnessBING.cpp
  4. 21
      modules/saliency/perf/perf_precomp.hpp
  5. 87
      modules/saliency/perf/perf_staticSaliencySpectralResidual.cpp
  6. 2
      modules/saliency/src/motionSaliencyBinWangApr2014.cpp

3
modules/saliency/perf/perf_main.cpp
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#include "perf_precomp.hpp"
CV_PERF_TEST_MAIN(saliency)

106
modules/saliency/perf/perf_motionSaliencyBinWangApr2014.cpp
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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) 2014, 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 "perf_precomp.hpp"
#include <fstream>
#include <opencv2/videoio.hpp>
//write sanity: ./bin/opencv_perf_saliency --perf_write_sanity=true
//verify sanity: ./bin/opencv_perf_saliency
using namespace std;
using namespace cv;
using namespace perf;
#define TESTSET_NAMES \
"/cv/saliency/motion/blizzard.webm",\
"/cv/saliency/motion/pedestrian.webm" ,\
"/cv/saliency/motion/snowFall.webm"
const string SALIENCY_DIR = "cv/saliency";
typedef perf::TestBaseWithParam<std::string> sal;
PERF_TEST_P(sal, motionSaliencyBinWangApr2014, testing::Values(TESTSET_NAMES))
{
string filename = getDataPath(GetParam());
int startFrame=0;
Mat frame;
Mat saliencyMap;
double videoSize=0;
Ptr<saliency::Saliency> saliencyAlgorithm = saliency::Saliency::create( "BinWangApr2014" );
TEST_CYCLE_N(1)
{
VideoCapture c;
c.open( filename);
videoSize=c.get( CAP_PROP_FRAME_COUNT);
c.set( CAP_PROP_POS_FRAMES, startFrame );
for ( int frameCounter = 0; frameCounter < videoSize; frameCounter++ )
{
c >> frame;
if( frame.empty() )
{
break;
}
saliencyAlgorithm.dynamicCast<saliency::MotionSaliencyBinWangApr2014>()->setImagesize( frame.cols, frame.rows );
saliencyAlgorithm.dynamicCast<saliency::MotionSaliencyBinWangApr2014>()->init();
if( saliencyAlgorithm->computeSaliency( frame, saliencyMap ) )
{
}
else
{
FAIL()<< "***Error in the instantiation of the saliency algorithm...***\n" << endl;
return;
}
}
}
SANITY_CHECK(saliencyMap);
}

108
modules/saliency/perf/perf_objectnessBING.cpp
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@ -1,108 +0,0 @@
/*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) 2014, 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 "perf_precomp.hpp"
//write sanity: ./bin/opencv_perf_saliency --perf_write_sanity=true
//verify sanity: ./bin/opencv_perf_saliency
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef perf::TestBaseWithParam<std::string> sal;
#define BING_IMAGES \
"cv/saliency/objectness/000021.jpg", \
"cv/saliency/objectness/000022.jpg"
void getMatOfRects( const vector<Vec4i>& saliencyMap, Mat& bbs_mat )
{
for ( int b = 0; b < (int)saliencyMap.size(); b++ )
{
bbs_mat.at<int>( b, 0 ) = saliencyMap[b].val[0];
bbs_mat.at<int>( b, 1 ) = saliencyMap[b].val[1];
bbs_mat.at<int>( b, 2 ) = saliencyMap[b].val[2];
bbs_mat.at<int>( b, 3 ) = saliencyMap[b].val[3];
}
}
PERF_TEST_P(sal, objectnessBING, testing::Values(BING_IMAGES))
{
string filename = getDataPath(GetParam());
cout<<endl<<endl<<"path "<<filename<<endl<<endl;
Mat image = imread(filename);
vector<Vec4i> saliencyMap;
String training_path = "/home/puja/src/opencv_contrib/modules/saliency/samples/ObjectnessTrainedModel";
if (image.empty())
FAIL() << "Unable to load source image " << filename;
Ptr<saliency::Saliency> saliencyAlgorithm = saliency::Saliency::create( "BING" );
TEST_CYCLE_N(1)
{
if( training_path.empty() )
{
FAIL() << "Path of trained files missing! " << endl;
return;
}
else
{
saliencyAlgorithm.dynamicCast<saliency::ObjectnessBING>()->setTrainingPath( training_path );
saliencyAlgorithm.dynamicCast<saliency::ObjectnessBING>()->setBBResDir( training_path + "/Results" );
if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) )
{
}
}
} //end CYCLE
//save the bounding boxes in a Mat
Mat bbs_mat( (int)saliencyMap.size(), 4, CV_32F );
getMatOfRects( saliencyMap, bbs_mat );
SANITY_CHECK( bbs_mat);
}

21
modules/saliency/perf/perf_precomp.hpp
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@ -1,21 +0,0 @@
#ifdef __GNUC__
# pragma GCC diagnostic ignored "-Wmissing-declarations"
# if defined __clang__ || defined __APPLE__
# pragma GCC diagnostic ignored "-Wmissing-prototypes"
# pragma GCC diagnostic ignored "-Wextra"
# endif
#endif
#ifndef __OPENCV_SALIENCY_PRECOMP_HPP__
#define __OPENCV_SALIENCY_PRECOMP_HPP__
#include <opencv2/ts.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/saliency.hpp>
#include <opencv2/highgui.hpp>
#ifdef GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif
#endif

87
modules/saliency/perf/perf_staticSaliencySpectralResidual.cpp
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@ -1,87 +0,0 @@
/*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) 2014, 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 "perf_precomp.hpp"
//write sanity: ./bin/opencv_perf_saliency --perf_write_sanity=true
//verify sanity: ./bin/opencv_perf_saliency
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef perf::TestBaseWithParam<std::string> sal;
#define STATIC_IMAGES \
"cv/saliency/static_saliency/8.jpg",\
"cv/saliency/static_saliency/39.jpg" ,\
"cv/saliency/static_saliency/41.jpg" ,\
"cv/saliency/static_saliency/62.jpg"
PERF_TEST_P(sal, statiSaliencySpectralResidual, testing::Values(STATIC_IMAGES))
{
string filename = getDataPath(GetParam());
Mat image = imread(filename);
Mat saliencyMap;
if (image.empty())
FAIL() << "Unable to load source image " << filename;
Ptr<saliency::Saliency> saliencyAlgorithm = saliency::Saliency::create( "SPECTRAL_RESIDUAL" );
TEST_CYCLE_N(1)
{
if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) )
{
}
else
{
FAIL()<< "***Error in the instantiation of the saliency algorithm...***\n" << endl;
return;
}
} //end CYCLE
SANITY_CHECK(saliencyMap);
}

2
modules/saliency/src/motionSaliencyBinWangApr2014.cpp
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@ -623,6 +623,8 @@ bool MotionSaliencyBinWangApr2014::decisionThresholdAdaptation()
bool MotionSaliencyBinWangApr2014::computeSaliencyImpl( InputArray image, OutputArray saliencyMap )
{
CV_Assert(image.channels() == 1);
Mat highResBFMask, u_highResBFMask;
Mat lowResBFMask, u_lowResBFMask;
Mat not_lowResBFMask;

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