observation.cc

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/*
 * This file is part of gauss2d_fit.
 *
 * Developed for the LSST Data Management System.
 * This product includes software developed by the LSST Project
 * (https://www.lsst.org).
 * See the COPYRIGHT file at the top-level directory of this distribution
 * for details of code ownership.
 *
 * 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 GNU General Public License
 * along with this program.  If not, see <https://www.gnu.org/licenses/>.
 */
 
#include <memory>
#include <string>
 
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
 
#include "lsst/gauss2d/fit/observation.h"
#include "lsst/gauss2d/fit/parametric.h"
#include "lsst/gauss2d/python/image.h"
 
#include "pybind11.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace g2f = lsst::gauss2d::fit;
namespace g2p = lsst::gauss2d::python;
 
template <typename T>
void declare_observation(py::module &m, std::string str_type) {
    typedef g2p::Image<T> Image;
    typedef g2p::Image<bool> Mask;
    typedef g2f::Observation<T, Image, Mask> Observation;
    std::string pyclass_name = std::string("Observation") + str_type;
    py::classh<Observation, g2f::Parametric>(m, pyclass_name.c_str())
            .def(py::init<std::shared_ptr<Image>, std::shared_ptr<Image>, std::shared_ptr<Mask>,
                          const g2f::Channel &>(),
                 "image"_a, "sigma_inv"_a, "mask_inv"_a, "channel"_a)
            .def_property_readonly("channel", &Observation::get_channel)
            .def_property_readonly("image", &Observation::get_image)
            .def_property_readonly("mask_inv", &Observation::get_mask_inverse)
            .def_property_readonly("sigma_inv", &Observation::get_sigma_inverse)
            .def_property_readonly("n_cols", &Observation::get_n_cols)
            .def_property_readonly("n_rows", &Observation::get_n_rows)
            .def("parameters", &Observation::get_parameters, "parameters"_a = g2f::ParamRefs(),
                 "paramfilter"_a = nullptr)
            .def("__repr__", [](const Observation &self) { return self.repr(true); })
            .def("__str__", &Observation::str);
}
 
void bind_observation(py::module &m) {
    declare_observation<double>(m, "D");
    declare_observation<float>(m, "F");
}