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
kernelCandidateDetection.cc
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1 /*
2  * LSST Data Management System
3  *
4  * This product includes software developed by the
5  * LSST Project (http://www.lsst.org/).
6  * See the COPYRIGHT file
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 #include "pybind11/pybind11.h"
23 #include "pybind11/stl.h"
24 
25 #include <memory>
26 #include <string>
27 
29 
30 namespace py = pybind11;
31 using namespace pybind11::literals;
32 
33 namespace lsst {
34 namespace ip {
35 namespace diffim {
36 
37 namespace {
38 
46 template <typename PixelT>
47 void declareKernelCandidateDetection(py::module &mod, std::string const &suffix) {
48  py::class_<KernelCandidateDetection<PixelT>, std::shared_ptr<KernelCandidateDetection<PixelT>>> cls(
49  mod, ("KernelCandidateDetection" + suffix).c_str());
50 
51  cls.def(py::init<daf::base::PropertySet const &>(), "ps"_a);
52 
53  cls.def("apply", &KernelCandidateDetection<PixelT>::apply, "templateMaskedImage"_a,
54  "scienceMaskedImage"_a);
55  cls.def("growCandidate", &KernelCandidateDetection<PixelT>::growCandidate, "footprint"_a, "fpGrowPix"_a,
56  "templateMaskedImage"_a, "scienceMaskedImage"_a);
57  cls.def("getFootprints", &KernelCandidateDetection<PixelT>::getFootprints);
58 }
59 
60 } // namespace lsst::ip::diffim::<anonymous>
61 
62 PYBIND11_MODULE(kernelCandidateDetection, mod) {
63  py::module::import("lsst.afw.image");
64  py::module::import("lsst.afw.detection");
65  py::module::import("lsst.daf.base");
66 
67  declareKernelCandidateDetection<float>(mod, "F");
68 }
69 
70 } // diffim
71 } // ip
72 } // lsst
Detect candidates for kernels within 2 images.
PYBIND11_MODULE(kernelCandidateDetection, mod)
A base class for image defects.