LSST Applications  21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
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();
51  PTR(ImageT) returnMean() {return _mean;}
52  private:
54  PTR(ImageT) _mean;
55  };
56 
57  template<typename PixelT>
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
#define PTR(...)
Definition: base.h:41
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
boost::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
Definition: KernelPca.cc:89
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.