1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 5 // By downloading, copying, installing or using the software you agree to this license. 6 // If you do not agree to this license, do not download, install, 7 // copy or use the software. 8 // 9 // 10 // License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2013, OpenCV Foundation, all rights reserved. 14 // Third party copyrights are property of their respective owners. 15 // 16 // Redistribution and use in source and binary forms, with or without modification, 17 // are permitted provided that the following conditions are met: 18 // 19 // * Redistribution's of source code must retain the above copyright notice, 20 // this list of conditions and the following disclaimer. 21 // 22 // * Redistribution's in binary form must reproduce the above copyright notice, 23 // this list of conditions and the following disclaimer in the documentation 24 // and/or other materials provided with the distribution. 25 // 26 // * The name of the copyright holders may not be used to endorse or promote products 27 // derived from this software without specific prior written permission. 28 // 29 // This software is provided by the copyright holders and contributors "as is" and 30 // any express or implied warranties, including, but not limited to, the implied 31 // warranties of merchantability and fitness for a particular purpose are disclaimed. 32 // In no event shall the OpenCV Foundation or contributors be liable for any direct, 33 // indirect, incidental, special, exemplary, or consequential damages 34 // (including, but not limited to, procurement of substitute goods or services; 35 // loss of use, data, or profits; or business interruption) however caused 36 // and on any theory of liability, whether in contract, strict liability, 37 // or tort (including negligence or otherwise) arising in any way out of 38 // the use of this software, even if advised of the possibility of such damage. 39 // 40 //M*/ 41 #include "test_precomp.hpp" 42 #include <cstdlib> 43 #include <cmath> 44 #include <algorithm> 45 46 static void mytest(cv::Ptr<cv::DownhillSolver> solver,cv::Ptr<cv::MinProblemSolver::Function> ptr_F,cv::Mat& x,cv::Mat& step, 47 cv::Mat& etalon_x,double etalon_res){ 48 solver->setFunction(ptr_F); 49 int ndim=MAX(step.cols,step.rows); 50 solver->setInitStep(step); 51 cv::Mat settedStep; 52 solver->getInitStep(settedStep); 53 ASSERT_TRUE(settedStep.rows==1 && settedStep.cols==ndim); 54 ASSERT_TRUE(std::equal(step.begin<double>(),step.end<double>(),settedStep.begin<double>())); 55 std::cout<<"step setted:\n\t"<<step<<std::endl; 56 double res=solver->minimize(x); 57 std::cout<<"res:\n\t"<<res<<std::endl; 58 std::cout<<"x:\n\t"<<x<<std::endl; 59 std::cout<<"etalon_res:\n\t"<<etalon_res<<std::endl; 60 std::cout<<"etalon_x:\n\t"<<etalon_x<<std::endl; 61 double tol=1e-2;//solver->getTermCriteria().epsilon; 62 ASSERT_TRUE(std::abs(res-etalon_res)<tol); 63 /*for(cv::Mat_<double>::iterator it1=x.begin<double>(),it2=etalon_x.begin<double>();it1!=x.end<double>();it1++,it2++){ 64 ASSERT_TRUE(std::abs((*it1)-(*it2))<tol); 65 }*/ 66 std::cout<<"--------------------------\n"; 67 } 68 69 class SphereF:public cv::MinProblemSolver::Function{ 70 public: 71 int getDims() const { return 2; } 72 double calc(const double* x)const{ 73 return x[0]*x[0]+x[1]*x[1]; 74 } 75 }; 76 class RosenbrockF:public cv::MinProblemSolver::Function{ 77 int getDims() const { return 2; } 78 double calc(const double* x)const{ 79 return 100*(x[1]-x[0]*x[0])*(x[1]-x[0]*x[0])+(1-x[0])*(1-x[0]); 80 } 81 }; 82 83 TEST(Core_DownhillSolver, regression_basic){ 84 cv::Ptr<cv::DownhillSolver> solver=cv::DownhillSolver::create(); 85 #if 1 86 { 87 cv::Ptr<cv::MinProblemSolver::Function> ptr_F = cv::makePtr<SphereF>(); 88 cv::Mat x=(cv::Mat_<double>(1,2)<<1.0,1.0), 89 step=(cv::Mat_<double>(2,1)<<-0.5,-0.5), 90 etalon_x=(cv::Mat_<double>(1,2)<<-0.0,0.0); 91 double etalon_res=0.0; 92 mytest(solver,ptr_F,x,step,etalon_x,etalon_res); 93 } 94 #endif 95 #if 1 96 { 97 cv::Ptr<cv::MinProblemSolver::Function> ptr_F = cv::makePtr<RosenbrockF>(); 98 cv::Mat x=(cv::Mat_<double>(2,1)<<0.0,0.0), 99 step=(cv::Mat_<double>(2,1)<<0.5,+0.5), 100 etalon_x=(cv::Mat_<double>(2,1)<<1.0,1.0); 101 double etalon_res=0.0; 102 mytest(solver,ptr_F,x,step,etalon_x,etalon_res); 103 } 104 #endif 105 } 106
