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141 lines
4.8 KiB
141 lines
4.8 KiB
/*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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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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 OpenCV Foundation 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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#include <iostream> |
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TEST(Core_LPSolver, regression_basic){ |
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cv::Mat A,B,z,etalon_z; |
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#if 1 |
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//cormen's example #1 |
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A=(cv::Mat_<double>(3,1)<<3,1,2); |
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B=(cv::Mat_<double>(3,4)<<1,1,3,30,2,2,5,24,4,1,2,36); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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cv::solveLP(A,B,z); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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etalon_z=(cv::Mat_<double>(3,1)<<8,4,0); |
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ASSERT_EQ(cv::countNonZero(z!=etalon_z),0); |
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#endif |
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#if 1 |
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//cormen's example #2 |
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A=(cv::Mat_<double>(1,2)<<18,12.5); |
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B=(cv::Mat_<double>(3,3)<<1,1,20,1,0,20,0,1,16); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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cv::solveLP(A,B,z); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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etalon_z=(cv::Mat_<double>(2,1)<<20,0); |
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ASSERT_EQ(cv::countNonZero(z!=etalon_z),0); |
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#endif |
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#if 1 |
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//cormen's example #3 |
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A=(cv::Mat_<double>(1,2)<<5,-3); |
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B=(cv::Mat_<double>(2,3)<<1,-1,1,2,1,2); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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cv::solveLP(A,B,z); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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etalon_z=(cv::Mat_<double>(2,1)<<1,0); |
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ASSERT_EQ(cv::countNonZero(z!=etalon_z),0); |
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#endif |
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} |
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TEST(Core_LPSolver, regression_init_unfeasible){ |
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cv::Mat A,B,z,etalon_z; |
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#if 1 |
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//cormen's example #4 - unfeasible |
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A=(cv::Mat_<double>(1,3)<<-1,-1,-1); |
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B=(cv::Mat_<double>(2,4)<<-2,-7.5,-3,-10000,-20,-5,-10,-30000); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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cv::solveLP(A,B,z); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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etalon_z=(cv::Mat_<double>(3,1)<<1250,1000,0); |
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ASSERT_EQ(cv::countNonZero(z!=etalon_z),0); |
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#endif |
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} |
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TEST(DISABLED_Core_LPSolver, regression_absolutely_unfeasible){ |
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cv::Mat A,B,z,etalon_z; |
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#if 1 |
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//trivial absolutely unfeasible example |
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A=(cv::Mat_<double>(1,1)<<1); |
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B=(cv::Mat_<double>(2,2)<<1,-1); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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int res=cv::solveLP(A,B,z); |
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ASSERT_EQ(res,-1); |
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#endif |
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} |
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TEST(Core_LPSolver, regression_multiple_solutions){ |
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cv::Mat A,B,z,etalon_z; |
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#if 1 |
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//trivial example with multiple solutions |
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A=(cv::Mat_<double>(2,1)<<1,1); |
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B=(cv::Mat_<double>(1,3)<<1,1,1); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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int res=cv::solveLP(A,B,z); |
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printf("res=%d\n",res); |
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printf("scalar %g\n",z.dot(A)); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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ASSERT_EQ(res,1); |
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ASSERT_EQ(z.dot(A),1); |
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#endif |
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} |
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TEST(Core_LPSolver, regression_cycling){ |
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cv::Mat A,B,z,etalon_z; |
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#if 1 |
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//example with cycling from http://people.orie.cornell.edu/miketodd/or630/SimplexCyclingExample.pdf |
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A=(cv::Mat_<double>(4,1)<<10,-57,-9,-24); |
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B=(cv::Mat_<double>(3,5)<<0.5,-5.5,-2.5,9,0,0.5,-1.5,-0.5,1,0,1,0,0,0,1); |
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std::cout<<"here A goes\n"<<A<<"\n"; |
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int res=cv::solveLP(A,B,z); |
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printf("res=%d\n",res); |
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printf("scalar %g\n",z.dot(A)); |
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std::cout<<"here z goes\n"<<z<<"\n"; |
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ASSERT_EQ(z.dot(A),1); |
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//ASSERT_EQ(res,1); |
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#endif |
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}
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