LSST Applications  21.0.0+c4f5df5339,21.0.0+e70536a077,21.0.0-1-ga51b5d4+7c60f8a6ea,21.0.0-10-gcf60f90+74aa0801fd,21.0.0-12-g63909ac9+643a1044a5,21.0.0-15-gedb9d5423+1041c3824f,21.0.0-2-g103fe59+a356b2badb,21.0.0-2-g1367e85+6d3f3f41db,21.0.0-2-g45278ab+e70536a077,21.0.0-2-g5242d73+6d3f3f41db,21.0.0-2-g7f82c8f+8d7c04eab9,21.0.0-2-g8f08a60+9c9a9cfcc8,21.0.0-2-ga326454+8d7c04eab9,21.0.0-2-gde069b7+bedfc5e1fb,21.0.0-2-gecfae73+6cb6558258,21.0.0-2-gfc62afb+6d3f3f41db,21.0.0-3-g21c7a62+f6e98b25aa,21.0.0-3-g357aad2+bd62456bea,21.0.0-3-g4be5c26+6d3f3f41db,21.0.0-3-g65f322c+03a4076c01,21.0.0-3-g7d9da8d+c4f5df5339,21.0.0-3-gaa929c8+c6b98066dc,21.0.0-3-gc44e71e+a26d5c1aea,21.0.0-3-ge02ed75+04b527a9d5,21.0.0-35-g64f566ff+b27e5ef93e,21.0.0-4-g591bb35+04b527a9d5,21.0.0-4-g88306b8+8773047b2e,21.0.0-4-gc004bbf+80a0b7acb7,21.0.0-4-gccdca77+a5c54364a0,21.0.0-4-ge8fba5a+ccfc328107,21.0.0-5-gdf36809+87b8d260e6,21.0.0-6-g00874e7+7eeda2b6ba,21.0.0-6-g2d4f3f3+e70536a077,21.0.0-6-g4e60332+04b527a9d5,21.0.0-6-g5ef7dad+f53629abd8,21.0.0-7-gc8ca178+b63e69433b,21.0.0-8-gfbe0b4b+c6b98066dc,w.2021.06
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 <pybind11/operators.h>
25 //#include <pybind11/stl.h>
26 
28 
29 namespace py = pybind11;
30 
31 using namespace py::literals;
32 
33 namespace lsst {
34 namespace afw {
35 namespace math {
36 namespace detail {
37 
38 namespace {
39 template <typename OutImageT, typename InImageT>
40 void declareByType(py::module &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 (*)(
55  OutImageT &, InImageT const &, lsst::afw::math::Kernel const &,
56  lsst::afw::math::ConvolutionControl const &))convolveWithBruteForce<OutImageT, InImageT>);
57 }
58 template <typename PixelType1, typename PixelType2>
59 void declareAll(py::module &mod) {
62 
63  declareByType<image::Image<PixelType1>, image::Image<PixelType2>>(mod);
64  declareByType<M1, M2>(mod);
65 }
66 } // namespace
67 
69  declareAll<double, double>(mod);
70  declareAll<double, float>(mod);
71  declareAll<double, int>(mod);
72  declareAll<double, std::uint16_t>(mod);
73  declareAll<float, float>(mod);
74  declareAll<float, int>(mod);
75  declareAll<float, std::uint16_t>(mod);
76  declareAll<int, int>(mod);
77  declareAll<std::uint16_t, std::uint16_t>(mod);
78 
79  py::class_<KernelImagesForRegion, std::shared_ptr<KernelImagesForRegion>> clsKernelImagesForRegion(
80  mod, "KernelImagesForRegion");
81 
82  py::enum_<KernelImagesForRegion::Location>(clsKernelImagesForRegion, "Location")
83  .value("BOTTOM_LEFT", KernelImagesForRegion::Location::BOTTOM_LEFT)
84  .value("BOTTOM_RIGHT", KernelImagesForRegion::Location::BOTTOM_RIGHT)
85  .value("TOP_LEFT", KernelImagesForRegion::Location::TOP_LEFT)
86  .value("TOP_RIGHT", KernelImagesForRegion::Location::TOP_RIGHT)
87  .export_values();
88 
89  clsKernelImagesForRegion.def(
91  lsst::geom::Point2I const &, bool>(),
92  "kernelPtr"_a, "bbox"_a, "xy0"_a, "doNormalize"_a);
93  clsKernelImagesForRegion.def(
98  "kernelPtr"_a, "bbox"_a, "xy0"_a, "doNormalize"_a, "bottomLeftImagePtr"_a,
99  "bottomRightImagePtr"_a, "topLeftImagePtr"_a, "topRightImagePtr"_a);
100 
101  clsKernelImagesForRegion.def("getBBox", &KernelImagesForRegion::getBBox);
102  clsKernelImagesForRegion.def("getXY0", &KernelImagesForRegion::getXY0);
103  clsKernelImagesForRegion.def("getDoNormalize", &KernelImagesForRegion::getDoNormalize);
104  clsKernelImagesForRegion.def("getImage", &KernelImagesForRegion::getImage);
105  clsKernelImagesForRegion.def("getKernel", &KernelImagesForRegion::getKernel);
106  clsKernelImagesForRegion.def("getPixelIndex", &KernelImagesForRegion::getPixelIndex);
107  clsKernelImagesForRegion.def("computeNextRow", &KernelImagesForRegion::computeNextRow);
108  clsKernelImagesForRegion.def_static("getMinInterpolationSize",
109  KernelImagesForRegion::getMinInterpolationSize);
110 
111  py::class_<RowOfKernelImagesForRegion, std::shared_ptr<RowOfKernelImagesForRegion>>
112  clsRowOfKernelImagesForRegion(mod, "RowOfKernelImagesForRegion");
113 
114  clsRowOfKernelImagesForRegion.def(py::init<int, int>(), "nx"_a, "ny"_a);
115 
116  clsRowOfKernelImagesForRegion.def("front", &RowOfKernelImagesForRegion::front);
117  clsRowOfKernelImagesForRegion.def("back", &RowOfKernelImagesForRegion::back);
118  clsRowOfKernelImagesForRegion.def("getNX", &RowOfKernelImagesForRegion::getNX);
119  clsRowOfKernelImagesForRegion.def("getNY", &RowOfKernelImagesForRegion::getNY);
120  clsRowOfKernelImagesForRegion.def("getYInd", &RowOfKernelImagesForRegion::getYInd);
121  clsRowOfKernelImagesForRegion.def("getRegion", &RowOfKernelImagesForRegion::getRegion);
122  clsRowOfKernelImagesForRegion.def("hasData", &RowOfKernelImagesForRegion::hasData);
123  clsRowOfKernelImagesForRegion.def("isLastRow", &RowOfKernelImagesForRegion::isLastRow);
124  clsRowOfKernelImagesForRegion.def("incrYInd", &RowOfKernelImagesForRegion::incrYInd);
125 
126  /* Module level */
127 
128  /* Member types and enums */
129 
130  /* Constructors */
131 
132  /* Operators */
133 
134  /* Members */
135 }
136 }
137 }
138 }
139 } // lsst::afw::math::detail
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:58
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:644
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:111
A kernel that is a linear combination of fixed basis kernels.
Definition: Kernel.h:705
A kernel described by a pair of functions: func(x, y) = colFunc(x) * rowFunc(y)
Definition: Kernel.h:861
An integer coordinate rectangle.
Definition: Box.h:55
PYBIND11_MODULE(convolve, mod)
Definition: convolve.cc:68
void convolve(OutImageT &convolvedImage, InImageT const &inImage, KernelT const &kernel, ConvolutionControl const &convolutionControl=ConvolutionControl())
Convolve an Image or MaskedImage with a Kernel, setting pixels of an existing output image.
def init()
Definition: tests.py:59
A base class for image defects.