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
KernelPca.h
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1 // -*- lsst-c++ -*-
12 #ifndef LSST_IP_DIFFIM_KERNELPCA_H
13 #define LSST_IP_DIFFIM_KERNELPCA_H
14 
15 #include "lsst/afw/image.h"
16 #include "lsst/afw/math.h"
17 
18 namespace lsst {
19 namespace ip {
20 namespace diffim {
21 namespace detail {
22 
23  template <typename ImageT>
24  class KernelPca : public lsst::afw::image::ImagePca<ImageT> {
25  typedef typename lsst::afw::image::ImagePca<ImageT> Super;
26  public:
31 
33  explicit KernelPca(bool constantWeight=true) : Super(constantWeight) {}
34 
36  virtual void analyze();
37  };
38 
39  template<typename PixelT>
41  public:
44 
46  virtual ~KernelPcaVisitor() {};
47 
50  void subtractMean();
52  private:
55  };
56 
57  template<typename PixelT>
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
Base class for candidate objects in a SpatialCell.
Definition: SpatialCell.h:70
Overrides the analyze method of base class afwImage::ImagePca.
Definition: KernelPca.h:24
KernelPca(bool constantWeight=true)
Ctor.
Definition: KernelPca.h:33
virtual void analyze()
Generate eigenimages that are normalised.
Definition: KernelPca.cc:163
std::shared_ptr< KernelPca< ImageT > > Ptr
Definition: KernelPca.h:27
A class to run a PCA on all candidate kernels (represented as Images).
Definition: KernelPca.h:40
std::shared_ptr< KernelPcaVisitor< PixelT > > Ptr
Definition: KernelPca.h:43
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
Definition: KernelPca.cc:89
std::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
lsst::afw::math::KernelList getEigenKernels()
Definition: KernelPca.cc:65
KernelPcaVisitor(std::shared_ptr< KernelPca< ImageT > > imagePca)
Definition: KernelPca.cc:56
lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > ImageT
Definition: KernelPca.h:42
std::shared_ptr< KernelPcaVisitor< PixelT > > makeKernelPcaVisitor(std::shared_ptr< KernelPca< typename KernelPcaVisitor< PixelT >::ImageT > > imagePca)
Definition: KernelPca.h:59
A base class for image defects.