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removed duplicate regression test on CalonderDescriptorExtractor::compute

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pull/13383/head
Maria Dimashova 15 years ago
parent 8ab3fdbcca
commit 21d9c8f1d0
1 changed files with 0 additions and 165 deletions
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  1. 165
      tests/cv/src/acalonder.cpp

165
tests/cv/src/acalonder.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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., 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 "cvtest.h"
using namespace cv;
using namespace std;
#define WRITE_KEYPOINTS 0
#define WRITE_DESCRIPTORS 0
class CV_CalonderTest : public CvTest
{
public:
CV_CalonderTest() : CvTest("calonder-descriptor-extractor", "CalonderDescriptorExtractor::compute") {}
protected:
void run(int);
};
void writeMatInBin( const Mat& mat, const string& filename )
{
FILE* f = fopen( filename.c_str(), "wb");
int type = mat.type();
fwrite( (void*)&mat.rows, sizeof(int), 1, f );
fwrite( (void*)&mat.cols, sizeof(int), 1, f );
fwrite( (void*)&type, sizeof(int), 1, f );
fwrite( (void*)&mat.step, sizeof(int), 1, f );
fwrite( (void*)mat.data, 1, mat.step*mat.rows, f );
fclose(f);
}
Mat readMatFromBin( const string& filename )
{
FILE* f = fopen( filename.c_str(), "rb" );
int rows, cols, type, step;
fread( (void*)&rows, sizeof(int), 1, f );
fread( (void*)&cols, sizeof(int), 1, f );
fread( (void*)&type, sizeof(int), 1, f );
fread( (void*)&step, sizeof(int), 1, f );
uchar* data = (uchar*)cvAlloc(step*rows);
fread( (void*)data, 1, step*rows, f );
fclose(f);
return Mat( rows, cols, type, data );
}
void CV_CalonderTest::run(int)
{
string dir = string(ts->get_data_path()) + "/calonder";
Mat img = imread(dir +"/boat.png",0);
if( img.empty() )
{
ts->printf(CvTS::LOG, "Test image can not be read\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
vector<KeyPoint> keypoints;
#if WRITE_KEYPOINTS
FastFeatureDetector fd;
fd.detect(img, keypoints);
FileStorage fs( dir + "/keypoints.xml", FileStorage::WRITE );
if( fs.isOpened() )
write( fs, "keypoints", keypoints );
else
{
ts->printf(CvTS::LOG, "File for writting keypoints can not be opened\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
#else
FileStorage fs( dir + "/keypoints.xml", FileStorage::READ);
if( fs.isOpened() )
read( fs.getFirstTopLevelNode(), keypoints );
else
{
ts->printf(CvTS::LOG, "File for reading keypoints can not be opened\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
#endif //WRITE_KEYPOINTS
CalonderDescriptorExtractor<float> fde(dir + "/classifier.rtc");
Mat fdescriptors;
double t = (double)getTickCount();
fde.compute(img, keypoints, fdescriptors);
t = getTickCount() - t;
ts->printf(CvTS::LOG, "\nAverage time of computiting float descriptor = %g ms\n", t/((double)cvGetTickFrequency()*1000.)/fdescriptors.rows );
#if WRITE_DESCRIPTORS
assert(fdescriptors.type() == CV_32FC1);
writeMatInBin( fdescriptors, dir + "/ros_float_desc" );
#else
Mat ros_fdescriptors = readMatFromBin( dir + "/ros_float_desc" );
double fnorm = norm(fdescriptors, ros_fdescriptors, NORM_INF );
ts->printf(CvTS::LOG, "nofm (inf) BTW valid and calculated float descriptors = %f\n", fnorm );
if( fnorm > FLT_EPSILON )
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
#endif // WRITE_DESCRIPTORS
CalonderDescriptorExtractor<uchar> cde(dir + "/classifier.rtc");
Mat cdescriptors;
t = (double)getTickCount();
cde.compute(img, keypoints, cdescriptors);
t = getTickCount() - t;
ts->printf(CvTS::LOG, "Average time of computiting uchar descriptor = %g ms\n", t/((double)cvGetTickFrequency()*1000.)/cdescriptors.rows );
#if WRITE_DESCRIPTORS
assert(cdescriptors.type() == CV_8UC1);
writeMatInBin( cdescriptors, dir + "/ros_uchar_desc" );
#else
Mat ros_cdescriptors = readMatFromBin( dir + "/ros_uchar_desc" );
double cnorm = norm(cdescriptors, ros_cdescriptors, NORM_INF );
ts->printf(CvTS::LOG, "nofm (inf) BTW valid and calculated uchar descriptors = %f\n", cnorm );
if( cnorm > FLT_EPSILON + 1 ) // + 1 because of quantization float to uchar
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
#endif // WRITE_DESCRIPTORS
}
#if CV_SSE2
CV_CalonderTest calonderTest;
#endif // CV_SSE2
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