LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
_convolve.cc
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1 /*
2  * LSST Data Management System
3  * Copyright 2008-2016 AURA/LSST.
4  *
5  * This product includes software developed by the
6  * LSST Project (http://www.lsst.org/).
7  *
8  * This program is free software: you can redistribute it and/or modify
9  * it under the terms of the GNU General Public License as published by
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22 
23 #include <pybind11/pybind11.h>
24 #include <lsst/utils/python.h>
25 
27 
28 namespace py = pybind11;
29 
30 using namespace py::literals;
31 
32 namespace lsst {
33 namespace afw {
34 namespace math {
35 namespace detail {
36 
37 namespace {
38 template <typename OutImageT, typename InImageT>
39 void declareByType(lsst::utils::python::WrapperCollection &wrappers) {
40  wrappers.wrap([](auto &mod) {
41  mod.def("basicConvolve",
42  (void (*)(OutImageT &, InImageT const &, lsst::afw::math::Kernel const &,
43  lsst::afw::math::ConvolutionControl const &))basicConvolve<OutImageT, InImageT>);
44  mod.def("basicConvolve",
45  (void (*)(OutImageT &, InImageT const &, lsst::afw::math::DeltaFunctionKernel const &,
46  lsst::afw::math::ConvolutionControl const &))basicConvolve<OutImageT, InImageT>);
47  mod.def("basicConvolve",
48  (void (*)(OutImageT &, InImageT const &, lsst::afw::math::LinearCombinationKernel const &,
49  lsst::afw::math::ConvolutionControl const &))basicConvolve<OutImageT, InImageT>);
50  mod.def("basicConvolve",
51  (void (*)(OutImageT &, InImageT const &, lsst::afw::math::SeparableKernel const &,
52  lsst::afw::math::ConvolutionControl const &))basicConvolve<OutImageT, InImageT>);
53  mod.def("convolveWithBruteForce",
54  (void (*)(OutImageT &, InImageT const &, lsst::afw::math::Kernel const &,
56  convolveWithBruteForce<OutImageT, InImageT>);
57  });
58 }
59 template <typename PixelType1, typename PixelType2>
60 void declareAll(lsst::utils::python::WrapperCollection &wrappers) {
63 
64  declareByType<image::Image<PixelType1>, image::Image<PixelType2>>(wrappers);
65  declareByType<M1, M2>(wrappers);
66 }
67 } // namespace
68 
69 void declareConvolve(lsst::utils::python::WrapperCollection &wrappers) {
70  using PyClass = py::class_<KernelImagesForRegion, std::shared_ptr<KernelImagesForRegion>>;
71  auto clsKernelImagesForRegion =
72  wrappers.wrapType(PyClass(wrappers.module, "KernelImagesForRegion"), [](auto &mod, auto &cls) {
73  cls.def(py::init<KernelImagesForRegion::KernelConstPtr, lsst::geom::Box2I const &,
74  lsst::geom::Point2I const &, bool>(),
75  "kernelPtr"_a, "bbox"_a, "xy0"_a, "doNormalize"_a);
76  cls.def(py::init<KernelImagesForRegion::KernelConstPtr, lsst::geom::Box2I const &,
77  lsst::geom::Point2I const &, bool, KernelImagesForRegion::ImagePtr,
78  KernelImagesForRegion::ImagePtr, KernelImagesForRegion::ImagePtr,
79  KernelImagesForRegion::ImagePtr>(),
80  "kernelPtr"_a, "bbox"_a, "xy0"_a, "doNormalize"_a, "bottomLeftImagePtr"_a,
81  "bottomRightImagePtr"_a, "topLeftImagePtr"_a, "topRightImagePtr"_a);
82 
83  cls.def("getBBox", &KernelImagesForRegion::getBBox);
84  cls.def("getXY0", &KernelImagesForRegion::getXY0);
85  cls.def("getDoNormalize", &KernelImagesForRegion::getDoNormalize);
86  cls.def("getImage", &KernelImagesForRegion::getImage);
87  cls.def("getKernel", &KernelImagesForRegion::getKernel);
88  cls.def("getPixelIndex", &KernelImagesForRegion::getPixelIndex);
89  cls.def("computeNextRow", &KernelImagesForRegion::computeNextRow);
90  cls.def_static("getMinInterpolationSize", KernelImagesForRegion::getMinInterpolationSize);
91  });
92 
93  wrappers.wrapType(py::enum_<KernelImagesForRegion::Location>(clsKernelImagesForRegion, "Location"),
94  [](auto &mod, auto &enm) {
95  enm.value("BOTTOM_LEFT", KernelImagesForRegion::Location::BOTTOM_LEFT);
96  enm.value("BOTTOM_RIGHT", KernelImagesForRegion::Location::BOTTOM_RIGHT);
97  enm.value("TOP_LEFT", KernelImagesForRegion::Location::TOP_LEFT);
98  enm.value("TOP_RIGHT", KernelImagesForRegion::Location::TOP_RIGHT);
99  enm.export_values();
100  });
101 
103  wrappers.module, "RowOfKernelImagesForRegion"),
104  [](auto &mod, auto &cls) {
105  cls.def(py::init<int, int>(), "nx"_a, "ny"_a);
106 
107  cls.def("front", &RowOfKernelImagesForRegion::front);
108  cls.def("back", &RowOfKernelImagesForRegion::back);
109  cls.def("getNX", &RowOfKernelImagesForRegion::getNX);
110  cls.def("getNY", &RowOfKernelImagesForRegion::getNY);
111  cls.def("getYInd", &RowOfKernelImagesForRegion::getYInd);
112  cls.def("getRegion", &RowOfKernelImagesForRegion::getRegion);
113  cls.def("hasData", &RowOfKernelImagesForRegion::hasData);
114  cls.def("isLastRow", &RowOfKernelImagesForRegion::isLastRow);
115  cls.def("incrYInd", &RowOfKernelImagesForRegion::incrYInd);
116  });
117 }
118 void wrapConvolve(lsst::utils::python::WrapperCollection &wrappers) {
119  wrappers.addSignatureDependency("lsst.afw.image");
120  wrappers.addSignatureDependency("lsst.afw.math");
121  declareConvolve(wrappers);
122  declareAll<double, double>(wrappers);
123  declareAll<double, float>(wrappers);
124  declareAll<double, int>(wrappers);
125  declareAll<double, std::uint16_t>(wrappers);
126  declareAll<float, float>(wrappers);
127  declareAll<float, int>(wrappers);
128  declareAll<float, std::uint16_t>(wrappers);
129  declareAll<int, int>(wrappers);
130  declareAll<std::uint16_t, std::uint16_t>(wrappers);
131 }
132 } // namespace detail
133 } // namespace math
134 } // namespace afw
135 } // namespace lsst
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:51
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:73
Parameters to control convolution.
Definition: ConvolveImage.h:50
A kernel that has only one non-zero pixel (of value 1)
Definition: Kernel.h:643
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:110
A kernel that is a linear combination of fixed basis kernels.
Definition: Kernel.h:704
A kernel described by a pair of functions: func(x, y) = colFunc(x) * rowFunc(y)
Definition: Kernel.h:860
void wrapConvolve(lsst::utils::python::WrapperCollection &wrappers)
Definition: _convolve.cc:118
void declareConvolve(lsst::utils::python::WrapperCollection &wrappers)
Definition: _convolve.cc:69
py::class_< PixelAreaBoundedField, std::shared_ptr< PixelAreaBoundedField >, BoundedField > PyClass
A base class for image defects.