LSSTApplications  11.0-13-gbb96280,12.1.rc1,12.1.rc1+1,12.1.rc1+2,12.1.rc1+5,12.1.rc1+8,12.1.rc1-1-g06d7636+1,12.1.rc1-1-g253890b+5,12.1.rc1-1-g3d31b68+7,12.1.rc1-1-g3db6b75+1,12.1.rc1-1-g5c1385a+3,12.1.rc1-1-g83b2247,12.1.rc1-1-g90cb4cf+6,12.1.rc1-1-g91da24b+3,12.1.rc1-2-g3521f8a,12.1.rc1-2-g39433dd+4,12.1.rc1-2-g486411b+2,12.1.rc1-2-g4c2be76,12.1.rc1-2-gc9c0491,12.1.rc1-2-gda2cd4f+6,12.1.rc1-3-g3391c73+2,12.1.rc1-3-g8c1bd6c+1,12.1.rc1-3-gcf4b6cb+2,12.1.rc1-4-g057223e+1,12.1.rc1-4-g19ed13b+2,12.1.rc1-4-g30492a7
LSSTDataManagementBasePackage
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> {
26  public:
27  typedef typename std::shared_ptr<KernelPca<ImageT> > Ptr;
31 
33  explicit KernelPca(bool constantWeight=true) : Super(constantWeight) {}
34 
36  virtual void analyze();
37  };
38 
39  template<typename PixelT>
41  public:
43  typedef std::shared_ptr<KernelPcaVisitor<PixelT> > Ptr;
44 
45  KernelPcaVisitor(std::shared_ptr<KernelPca<ImageT> > imagePca);
46  virtual ~KernelPcaVisitor() {};
47 
50  void subtractMean();
51  PTR(ImageT) returnMean() {return _mean;}
52  private:
53  std::shared_ptr<KernelPca<ImageT> > _imagePca;
55  };
56 
57  template<typename PixelT>
58  std::shared_ptr<KernelPcaVisitor<PixelT> >
59  makeKernelPcaVisitor(std::shared_ptr<KernelPca<typename KernelPcaVisitor<PixelT>::ImageT> > imagePca) {
60  return typename KernelPcaVisitor<PixelT>::Ptr(new KernelPcaVisitor<PixelT>(imagePca));
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
An include file to include the public header files for lsst::afw::math.
KernelPcaVisitor(std::shared_ptr< KernelPca< ImageT > > imagePca)
Definition: KernelPca.cc:57
std::shared_ptr< KernelPcaVisitor< PixelT > > Ptr
Definition: KernelPca.h:43
A class to run a PCA on all candidate kernels (represented as Images).
Definition: KernelPca.h:40
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
Definition: KernelPca.cc:90
lsst::afw::math::KernelList getEigenKernels()
Definition: KernelPca.cc:66
boost::shared_ptr< ImageT > _mean
Mean image calculated before Pca.
Definition: KernelPca.h:54
An include file to include the header files for lsst::afw::image.
Overrides the analyze method of base class afwImage::ImagePca.
Definition: KernelPca.h:24
boost::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
lsst::afw::image::ImagePca< ImageT > Super
Base class.
Definition: KernelPca.h:25
std::shared_ptr< KernelPca< ImageT > > Ptr
Definition: KernelPca.h:27
#define PTR(...)
Definition: base.h:41
std::shared_ptr< KernelPcaVisitor< PixelT > > makeKernelPcaVisitor(std::shared_ptr< KernelPca< typename KernelPcaVisitor< PixelT >::ImageT > > imagePca)
Definition: KernelPca.h:59
KernelPca(bool constantWeight=true)
Ctor.
Definition: KernelPca.h:33
lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > ImageT
Definition: KernelPca.h:42
virtual void analyze()
Generate eigenimages that are normalised.
Definition: KernelPca.cc:164
std::vector< boost::shared_ptr< Kernel > > KernelList
Definition: Kernel.h:539
std::shared_ptr< KernelPca< ImageT > > _imagePca
Structure to fill with images.
Definition: KernelPca.h:53