LSST Applications  21.0.0-147-g0e635eb1+1acddb5be5,22.0.0+052faf71bd,22.0.0+1ea9a8b2b2,22.0.0+6312710a6c,22.0.0+729191ecac,22.0.0+7589c3a021,22.0.0+9f079a9461,22.0.1-1-g7d6de66+b8044ec9de,22.0.1-1-g87000a6+536b1ee016,22.0.1-1-g8e32f31+6312710a6c,22.0.1-10-gd060f87+016f7cdc03,22.0.1-12-g9c3108e+df145f6f68,22.0.1-16-g314fa6d+c825727ab8,22.0.1-19-g93a5c75+d23f2fb6d8,22.0.1-19-gb93eaa13+aab3ef7709,22.0.1-2-g8ef0a89+b8044ec9de,22.0.1-2-g92698f7+9f079a9461,22.0.1-2-ga9b0f51+052faf71bd,22.0.1-2-gac51dbf+052faf71bd,22.0.1-2-gb66926d+6312710a6c,22.0.1-2-gcb770ba+09e3807989,22.0.1-20-g32debb5+b8044ec9de,22.0.1-23-gc2439a9a+fb0756638e,22.0.1-3-g496fd5d+09117f784f,22.0.1-3-g59f966b+1e6ba2c031,22.0.1-3-g849a1b8+f8b568069f,22.0.1-3-gaaec9c0+c5c846a8b1,22.0.1-32-g5ddfab5d3+60ce4897b0,22.0.1-4-g037fbe1+64e601228d,22.0.1-4-g8623105+b8044ec9de,22.0.1-5-g096abc9+d18c45d440,22.0.1-5-g15c806e+57f5c03693,22.0.1-7-gba73697+57f5c03693,master-g6e05de7fdc+c1283a92b8,master-g72cdda8301+729191ecac,w.2021.39
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
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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.