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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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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"
using namespace cv;
using namespace std;
/*////////////////////// emd_test /////////////////////////*/
class CV_EMDTest : public cvtest::BaseTest
{
public:
CV_EMDTest();
protected:
void run(int);
};
CV_EMDTest::CV_EMDTest()
{
}
void CV_EMDTest::run( int )
{
int code = cvtest::TS::OK;
const double success_error_level = 1e-6;
#define M 10000
double emd0 = 2460./210;
static float cost[] =
{
16, 16, 13, 22, 17,
14, 14, 13, 19, 15,
19, 19, 20, 23, M,
M , 0, M, 0, 0
};
static float w1[] = { 50, 60, 50, 50 },
w2[] = { 30, 20, 70, 30, 60 };
Mat _w1(4, 1, CV_32F, w1);
Mat _w2(5, 1, CV_32F, w2);
Mat _cost(_w1.rows, _w2.rows, CV_32F, cost);
float emd = EMD( _w1, _w2, -1, _cost );
if( fabs( emd - emd0 ) > success_error_level*emd0 )
{
ts->printf( cvtest::TS::LOG,
"The computed distance is %.2f, while it should be %.2f\n", emd, emd0 );
code = cvtest::TS::FAIL_BAD_ACCURACY;
}
if( code < 0 )
ts->set_failed_test_info( code );
}
TEST(Imgproc_EMD, regression) { CV_EMDTest test; test.safe_run(); }
/* End of file. */
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