generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

ok, so probably the failure in downhill simplex has been finally solved

Browse Source
This commit is contained in:
Vadim Pisarevsky
2015-05-03 11:31:49 +03:00
parent 2ec92ba440
commit 5a31f6b4e1
2 changed files with 122 additions and 74 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
modules/core/test/test_conjugate_gradient.cpp
View File

@@ -58,7 +58,7 @@ static void mytest(cv::Ptr<cv::ConjGradSolver> solver,cv::Ptr<cv::MinProblemSolv
std::cout<<"--------------------------\n";
}
class SphereF:public cv::MinProblemSolver::Function{
class SphereF_CG:public cv::MinProblemSolver::Function{
public:
double calc(const double* x)const{
return x[0]*x[0]+x[1]*x[1]+x[2]*x[2]+x[3]*x[3];
@@ -69,7 +69,7 @@ public:
}
}
};
class RosenbrockF:public cv::MinProblemSolver::Function{
class RosenbrockF_CG:public cv::MinProblemSolver::Function{
double calc(const double* x)const{
return 100*(x[1]-x[0]*x[0])*(x[1]-x[0]*x[0])+(1-x[0])*(1-x[0]);
}
@@ -83,7 +83,7 @@ TEST(DISABLED_Core_ConjGradSolver, regression_basic){
cv::Ptr<cv::ConjGradSolver> solver=cv::ConjGradSolver::create();
#if 1
{
cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new SphereF());
cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new SphereF_CG());
cv::Mat x=(cv::Mat_<double>(4,1)<<50.0,10.0,1.0,-10.0),
etalon_x=(cv::Mat_<double>(1,4)<<0.0,0.0,0.0,0.0);
double etalon_res=0.0;
@@ -92,7 +92,7 @@ TEST(DISABLED_Core_ConjGradSolver, regression_basic){
#endif
#if 1
{
cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new RosenbrockF());
cv::Ptr<cv::MinProblemSolver::Function> ptr_F(new RosenbrockF_CG());
cv::Mat x=(cv::Mat_<double>(2,1)<<0.0,0.0),
etalon_x=(cv::Mat_<double>(2,1)<<1.0,1.0);
double etalon_res=0.0;