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