LSST Applications g0fba68d861+5616995c1c,g1ebb85f214+2420ccdea7,g1fd858c14a+44c57a1f81,g21d47ad084+8e51fce9ac,g262e1987ae+1a7d68eb3b,g2cef7863aa+3bd8df3d95,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+2420ccdea7,g47891489e3+5c6313fe9a,g53246c7159+fcb1d3bbc8,g646c943bdb+dbb9921566,g67b6fd64d1+5c6313fe9a,g6bd32b75b5+2420ccdea7,g74acd417e5+37fc0c974d,g786e29fd12+cf7ec2a62a,g86c591e316+6e13bcb9e9,g87389fa792+1e0a283bba,g89139ef638+5c6313fe9a,g90f42f885a+fce05a46d3,g9125e01d80+fcb1d3bbc8,g93e38de9ac+5345a64125,g95a1e89356+47d08a1cc6,g97be763408+bba861c665,ga9e4eb89a6+85210110a1,gb0b61e0e8e+1f27f70249,gb58c049af0+f03b321e39,gb89ab40317+5c6313fe9a,gc4e39d7843+4e09c98c3d,gd16ba4ae74+5402bcf54a,gd8ff7fe66e+2420ccdea7,gd9a9a58781+fcb1d3bbc8,gdab6d2f7ff+37fc0c974d,gde280f09ee+604b327636,ge278dab8ac+50e2446c94,ge410e46f29+5c6313fe9a,gef3c2e6661+6b480e0fb7,gf67bdafdda+5c6313fe9a,gffca2db377+fcb1d3bbc8,v29.2.0.rc1
LSST Data Management Base Package
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observation.cc File Reference
#include <pybind11/attr.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <memory>
#include <string>
#include "lsst/gauss2d/fit/observation.h"
#include "lsst/gauss2d/fit/parametric.h"
#include "lsst/gauss2d/python/image.h"
#include "pybind11.h"

Go to the source code of this file.

Functions

template<typename T>
void declare_observation (py::module &m, std::string str_type)
 
void bind_observation (py::module &m)
 

Function Documentation

◆ bind_observation()

void bind_observation ( py::module & m)

Definition at line 64 of file observation.cc.

64 {
67}
void declare_observation(py::module &m, std::string str_type)

◆ declare_observation()

template<typename T>
void declare_observation ( py::module & m,
std::string str_type )

Definition at line 43 of file observation.cc.

43 {
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}
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
std::vector< ParamBaseRef > ParamRefs
Definition param_defs.h:13
g2d::python::Image< double > Image
Definition test_image.cc:14
g2d::python::Image< bool > Mask
Definition test_image.cc:16