baselineUtils.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
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * 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
 * the GNU General Public License along with this program.  If not,
 * see <https://www.lsstcorp.org/LegalNotices/>.
 */
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
 
#include "lsst/afw/image/Image.h"
#include "lsst/afw/image/MaskedImage.h"
#include "lsst/afw/detection/Footprint.h"
#include "lsst/afw/detection/Peak.h"
 
#include "lsst/meas/deblender/BaselineUtils.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace lsst {
namespace meas {
namespace deblender {
 
namespace {
 
template <typename ImagePixelT, typename MaskPixelT = lsst::afw::image::MaskPixel,
          typename VariancePixelT = lsst::afw::image::VariancePixel>
void declareBaselineUtils(py::module& mod, const std::string& suffix) {
    using MaskedImageT = lsst::afw::image::MaskedImage<ImagePixelT, MaskPixelT, VariancePixelT>;
    using ImagePtrT = std::shared_ptr<lsst::afw::image::Image<ImagePixelT>>;
    using FootprintPtrT = std::shared_ptr<lsst::afw::detection::Footprint>;
    using Class = BaselineUtils<ImagePixelT, MaskPixelT, VariancePixelT>;
 
    py::class_<Class, std::shared_ptr<Class>> cls(mod, ("BaselineUtils" + suffix).c_str());
    cls.def_static("symmetrizeFootprint", &Class::symmetrizeFootprint, "foot"_a, "cx"_a, "cy"_a);
    // The C++ function returns a std::pair return value but also takes a referenced boolean
    // (patchedEdges) that is modified by the function and used by the python API,
    // so we wrap this in a lambda to combine the std::pair and patchedEdges in a tuple
    // that is returned to python.
    cls.def_static("buildSymmetricTemplate", [](MaskedImageT const& img,
                                                lsst::afw::detection::Footprint const& foot,
                                                lsst::afw::detection::PeakRecord const& pk, double sigma1,
                                                bool minZero, bool patchEdges) {
        bool patchedEdges;
        std::pair<ImagePtrT, FootprintPtrT> result;
 
        result = Class::buildSymmetricTemplate(img, foot, pk, sigma1, minZero, patchEdges, &patchedEdges);
        return py::make_tuple(result.first, result.second, patchedEdges);
    });
    cls.def_static("medianFilter", &Class::medianFilter, "img"_a, "outimg"_a, "halfsize"_a);
    cls.def_static("makeMonotonic", &Class::makeMonotonic, "img"_a, "pk"_a);
    // apportionFlux expects an empty vector containing HeavyFootprint pointers that is modified
    // in the function. But when a list is passed to pybind11 in place of the vector,
    // the changes are not passed back to python. So instead we create the vector in this lambda and
    // include it in the return value.
    cls.def_static("apportionFlux", [](MaskedImageT const& img, lsst::afw::detection::Footprint const& foot,
                                       std::vector<std::shared_ptr<lsst::afw::image::Image<ImagePixelT>>>
                                               templates,
                                       std::vector<std::shared_ptr<lsst::afw::detection::Footprint>>
                                               templ_footprints,
                                       ImagePtrT templ_sum, std::vector<bool> const& ispsf,
                                       std::vector<int> const& pkx, std::vector<int> const& pky,
                                       int strayFluxOptions, double clipStrayFluxFraction) {
        using HeavyFootprintPtrList = std::vector<std::shared_ptr<
                typename lsst::afw::detection::HeavyFootprint<ImagePixelT, MaskPixelT, VariancePixelT>>>;
 
        std::vector<std::shared_ptr<lsst::afw::image::MaskedImage<ImagePixelT, MaskPixelT, VariancePixelT>>>
                result;
        HeavyFootprintPtrList strays;
        result = Class::apportionFlux(img, foot, templates, templ_footprints, templ_sum, ispsf, pkx, pky,
                                      strays, strayFluxOptions, clipStrayFluxFraction);
 
        return py::make_tuple(result, strays);
    });
    cls.def_static("hasSignificantFluxAtEdge", &Class::hasSignificantFluxAtEdge, "img"_a, "sfoot"_a,
                   "thresh"_a);
    cls.def_static("getSignificantEdgePixels", &Class::getSignificantEdgePixels, "img"_a, "sfoot"_a,
                   "thresh"_a);
    // There appears to be an issue binding to a static const member of a templated type, so for now
    // we just use the values constants
    cls.attr("ASSIGN_STRAYFLUX") = py::cast(Class::ASSIGN_STRAYFLUX);
    cls.attr("STRAYFLUX_TO_POINT_SOURCES_WHEN_NECESSARY") =
            py::cast(Class::STRAYFLUX_TO_POINT_SOURCES_WHEN_NECESSARY);
    cls.attr("STRAYFLUX_TO_POINT_SOURCES_ALWAYS") = py::cast(Class::STRAYFLUX_TO_POINT_SOURCES_ALWAYS);
    cls.attr("STRAYFLUX_R_TO_FOOTPRINT") = py::cast(Class::STRAYFLUX_R_TO_FOOTPRINT);
    cls.attr("STRAYFLUX_NEAREST_FOOTPRINT") = py::cast(Class::STRAYFLUX_NEAREST_FOOTPRINT);
    cls.attr("STRAYFLUX_TRIM") = py::cast(Class::STRAYFLUX_TRIM);
};
 
}  // <anonymous>
 
PYBIND11_MODULE(baselineUtils, mod) {
    py::module::import("lsst.afw.image");
    py::module::import("lsst.afw.detection");
 
    declareBaselineUtils<float>(mod, "F");
}
 
}  // deblender
}  // meas
}  // lsst