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 44 static void mytest(cv::Ptr<cv::ConjGradSolver> solver,cv::Ptr<cv::MinProblemSolver::Function> ptr_F,cv::Mat& x, 45 cv::Mat& etalon_x,double etalon_res){ 46 solver->setFunction(ptr_F); 47 //int ndim=MAX(step.cols,step.rows); 48 double res=solver->minimize(x); 49 std::cout<<"res:\n\t"<<res<<std::endl; 50 std::cout<<"x:\n\t"<<x<<std::endl; 51 std::cout<<"etalon_res:\n\t"<<etalon_res<<std::endl; 52 std::cout<<"etalon_x:\n\t"<<etalon_x<<std::endl; 53 double tol = 1e-2; 54 ASSERT_TRUE(std::abs(res-etalon_res)<tol); 55 /*for(cv::Mat_<double>::iterator it1=x.begin<double>(),it2=etalon_x.begin<double>();it1!=x.end<double>();it1++,it2++){ 56 ASSERT_TRUE(std::abs((*it1)-(*it2))<tol); 57 }*/ 58 std::cout<<"--------------------------\n"; 59 } 60 61 class SphereF_CG:public cv::MinProblemSolver::Function{ 62 public: 63 int getDims() const { return 4; } 64 double calc(const double* x)const{ 65 return x[0]*x[0]+x[1]*x[1]+x[2]*x[2]+x[3]*x[3]; 66 } 67 // use automatically computed gradient 68 /*void getGradient(const double* x,double* grad){ 69 for(int i=0;i<4;i++){ 70 grad[i]=2*x[i]; 71 } 72 }*/ 73 }; 74 class RosenbrockF_CG:public cv::MinProblemSolver::Function{ 75 int getDims() const { return 2; } 76 double calc(const double* x)const{ 77 return 100*(x[1]-x[0]*x[0])*(x[1]-x[0]*x[0])+(1-x[0])*(1-x[0]); 78 } 79 void getGradient(const double* x,double* grad){ 80 grad[0]=-2*(1-x[0])-400*(x[1]-x[0]*x[0])*x[0]; 81 grad[1]=200*(x[1]-x[0]*x[0]); 82 } 83 }; 84 85 TEST(Core_ConjGradSolver, regression_basic){ 86 cv::Ptr<cv::ConjGradSolver> solver=cv::ConjGradSolver::create(); 87 #if 1 88 { 89 cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new SphereF_CG()); 90 cv::Mat x=(cv::Mat_<double>(4,1)<<50.0,10.0,1.0,-10.0), 91 etalon_x=(cv::Mat_<double>(1,4)<<0.0,0.0,0.0,0.0); 92 double etalon_res=0.0; 93 mytest(solver,ptr_F,x,etalon_x,etalon_res); 94 } 95 #endif 96 #if 1 97 { 98 cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new RosenbrockF_CG()); 99 cv::Mat x=(cv::Mat_<double>(2,1)<<0.0,0.0), 100 etalon_x=(cv::Mat_<double>(2,1)<<1.0,1.0); 101 double etalon_res=0.0; 102 mytest(solver,ptr_F,x,etalon_x,etalon_res); 103 } 104 #endif 105 } 106
