| LSSTApplications
    20.0.0
    LSSTDataManagementBasePackage | 
 
 
 
Go to the documentation of this file.
   22 #include "pybind11/pybind11.h" 
   23 #include "pybind11/eigen.h" 
   24 #include "pybind11/stl.h" 
   28 #include "ndarray/pybind11.h" 
   33 using namespace pybind11::literals;
 
   40     py::module::import(
"lsst.afw.math");
 
   41     py::module::import(
"lsst.daf.base");
 
   46             "borderPenalty"_a, 
"fitForBackground"_a);
 
   48             "borderPenalty"_a, 
"fitForBackground"_a);
 
  
Eigen::MatrixXd makeRegularizationMatrix(lsst::daf::base::PropertySet const &ps)
Build a regularization matrix for Delta function kernels.
PYBIND11_MODULE(basisLists, mod)
lsst::afw::math::KernelList makeDeltaFunctionBasisList(int width, int height)
Build a set of Delta Function basis kernels.
Subroutines associated with generating, normalising, and regularising Basis functions.
A base class for image defects.
Eigen::MatrixXd makeCentralDifferenceMatrix(int width, int height, int stencil, float borderPenalty, bool fitForBackground)
Build a central difference Laplacian regularization matrix for Delta function kernels.
lsst::afw::math::KernelList makeAlardLuptonBasisList(int halfWidth, int nGauss, std::vector< double > const &sigGauss, std::vector< int > const °Gauss)
Build a set of Alard/Lupton basis kernels.
lsst::afw::math::KernelList renormalizeKernelList(lsst::afw::math::KernelList const &kernelListIn)
Renormalize a list of basis kernels.
Eigen::MatrixXd makeForwardDifferenceMatrix(int width, int height, std::vector< int > const &orders, float borderPenalty, bool fitForBackground)
Build a forward difference regularization matrix for Delta function kernels.