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LSST Data Management Base Package
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observation.cc
Go to the documentation of this file.
1/*
2 * This file is part of gauss2d_fit.
3 *
4 * Developed for the LSST Data Management System.
5 * This product includes software developed by the LSST Project
6 * (https://www.lsst.org).
7 * See the COPYRIGHT file at the top-level directory of this distribution
8 * for details of code ownership.
9 *
10 * This program is free software: you can redistribute it and/or modify
11 * it under the terms of the GNU General Public License as published by
12 * the Free Software Foundation, either version 3 of the License, or
13 * (at your option) any later version.
14 *
15 * This program is distributed in the hope that it will be useful,
16 * but WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 * GNU General Public License for more details.
19 *
20 * You should have received a copy of the GNU General Public License
21 * along with this program. If not, see <https://www.gnu.org/licenses/>.
22 */
23
24#include <pybind11/attr.h>
25#include <pybind11/pybind11.h>
26#include <pybind11/stl.h>
27
28#include <memory>
29#include <string>
30
33#include "lsst/gauss2d/python/image.h"
34#include "pybind11.h"
35
36namespace py = pybind11;
37using namespace pybind11::literals;
38
39namespace g2f = lsst::gauss2d::fit;
40namespace g2p = lsst::gauss2d::python;
41
42template <typename T>
43void declare_observation(py::module &m, std::string str_type) {
44 typedef g2p::Image<T> Image;
45 typedef g2p::Image<bool> Mask;
46 typedef g2f::Observation<T, Image, Mask> Observation;
47 std::string pyclass_name = std::string("Observation") + str_type;
48 py::class_<Observation, std::shared_ptr<Observation>, g2f::Parametric>(m, pyclass_name.c_str())
50 const g2f::Channel &>(),
51 "image"_a, "sigma_inv"_a, "mask_inv"_a, "channel"_a)
52 .def_property_readonly("channel", &Observation::get_channel)
53 .def_property_readonly("image", &Observation::get_image)
54 .def_property_readonly("mask_inv", &Observation::get_mask_inverse)
55 .def_property_readonly("sigma_inv", &Observation::get_sigma_inverse)
56 .def_property_readonly("n_cols", &Observation::get_n_cols)
57 .def_property_readonly("n_rows", &Observation::get_n_rows)
58 .def("parameters", &Observation::get_parameters, "parameters"_a = g2f::ParamRefs(),
59 "paramfilter"_a = nullptr)
60 .def("__repr__", [](const Observation &self) { return self.repr(true); })
61 .def("__str__", &Observation::str);
62}
63
64void bind_observation(py::module &m) {
65 declare_observation<double>(m, "D");
66 declare_observation<float>(m, "F");
67}
int m
Definition SpanSet.cc:48
T c_str(T... args)
An observational channel, usually representing some range of wavelengths of light.
Definition channel.h:29
An observed single-channel image with an associated variance and mask.
Definition observation.h:35
A parametric object that can return and filter its Parameter instances.
Definition parametric.h:13
A Python image using numpy arrrays for storage.
Definition image.h:72
void declare_observation(py::module &m, std::string str_type)
void bind_observation(py::module &m)
g2d::python::Image< double > Image
Definition test_image.cc:14
g2d::python::Image< bool > Mask
Definition test_image.cc:16