kernelPca.cc

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/*
 * LSST Data Management System
 *
 * This product includes software developed by the
 * LSST Project (http://www.lsst.org/).
 * See the COPYRIGHT file
 *
 * This program is free software: you can redistribute it and/or modify
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 * the Free Software Foundation, either version 3 of the License, or
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 *
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 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the LSST License Statement and
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#include "pybind11/pybind11.h"
#include "lsst/cpputils/python.h"
#include "pybind11/stl.h"
 
#include <memory>
#include <string>
 
#include "lsst/afw/image/ImagePca.h"
#include "lsst/afw/math/Kernel.h"
#include "lsst/afw/math/SpatialCell.h"
#include "lsst/ip/diffim/KernelPca.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace lsst {
namespace ip {
namespace diffim {
namespace detail {
 
namespace {

template <typename PixelT>
void declareKernelPca(lsst::cpputils::python::WrapperCollection &wrappers, std::string const& suffix) {
    using ImageT = afw::image::Image<PixelT>;
    using PyClass = py::class_<KernelPca<ImageT>, std::shared_ptr<KernelPca<ImageT>>, afw::image::ImagePca<ImageT>>;
 
    std::string name = "KernelPca" + suffix;
    wrappers.wrapType(PyClass(wrappers.module, name.c_str()), [](auto &mod, auto &cls) {
 
        cls.def(py::init<bool>(), "constantWeight"_a = true);
 
        cls.def("analyze", &KernelPca<ImageT>::analyze);
    });
}

template <typename PixelT>
void declareKernelPcaVisitor(lsst::cpputils::python::WrapperCollection &wrappers, std::string const& suffix) {
    using PyClass = py::class_<KernelPcaVisitor<PixelT>, std::shared_ptr<KernelPcaVisitor<PixelT>>,
               afw::math::CandidateVisitor>;
 
    std::string name = "KernelPcaVisitor" + suffix;
    // note that KernelPcaVisitor<PixelT>::ImageT
    // is always the same (pixels of type lsst::afw::math::Kernel::Pixel, not PixelT)
    using KernelImageT = typename KernelPcaVisitor<PixelT>::ImageT;
 
    wrappers.wrapType(PyClass(wrappers.module, name.c_str()), [](auto &mod, auto &cls) {
        cls.def(py::init<std::shared_ptr<KernelPca<KernelImageT>>>(), "imagePca"_a);
 
        cls.def("getEigenKernels", &KernelPcaVisitor<PixelT>::getEigenKernels);
        cls.def("processCandidate", &KernelPcaVisitor<PixelT>::processCandidate, "candidate"_a);
        cls.def("subtractMean", &KernelPcaVisitor<PixelT>::subtractMean);
        cls.def("returnMean", &KernelPcaVisitor<PixelT>::returnMean);
 
        mod.def("makeKernelPcaVisitor", &makeKernelPcaVisitor<PixelT>, "imagePca"_a);
    });
}
 
}  // namespace lsst::ip::diffim::detail::<anonymous>
 
void wrapKernelPca(lsst::cpputils::python::WrapperCollection &wrappers) {
    declareKernelPca<afw::math::Kernel::Pixel>(wrappers, "D");
    declareKernelPcaVisitor<float>(wrappers, "F");
}
void wrapKernelPca(lsst::cpputils::python::WrapperCollection &wrappers) {…}
 
}  // detail
}  // diffim
}  // ip
}  // lsst::ip::diffim::detail