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
Classes | Namespaces | Functions
Pixel.h File Reference
#include <cmath>
#include <functional>
#include <iostream>
#include <type_traits>
#include "lsst/utils/hashCombine.h"

Go to the source code of this file.

Classes

class  lsst::afw::image::pixel::SinglePixel< _ImagePixelT, _MaskPixelT, _VariancePixelT >
 A single pixel of the same type as a MaskedImage. More...
 
struct  lsst::afw::image::pixel::PixelTypeTraits< PixelT >
 Pixel type traits. More...
 
struct  lsst::afw::image::pixel::PixelTypeTraits< SinglePixel< _ImagePixelT, _MaskPixelT, _VariancePixelT > >
 Specialization for a pixel of a MaskedImage. More...
 
class  lsst::afw::image::pixel::Pixel< _ImagePixelT, _MaskPixelT, _VariancePixelT >
 A pixel of a MaskedImage. More...
 
struct  lsst::afw::image::pixel::exprTraits< ExprT >
 A traits class to return the types of the image/mask/variance. More...
 
struct  lsst::afw::image::pixel::exprTraits< double >
 A specialisation of exprTraits for double More...
 
struct  lsst::afw::image::pixel::exprTraits< float >
 A specialisation of exprTraits for float More...
 
struct  lsst::afw::image::pixel::exprTraits< int >
 A specialisation of exprTraits for int More...
 
struct  lsst::afw::image::pixel::exprTraits< unsigned short >
 A specialisation of exprTraits for unsigned short More...
 
struct  lsst::afw::image::pixel::noop< T1 >
 A noop functor (useful for e.g. masks and variances when changing the sign of the image) More...
 
struct  lsst::afw::image::pixel::bitwise_or< T1 >
 bitwise_or doesn't seem to be in std:: More...
 
struct  lsst::afw::image::pixel::variance_divides< T1 >
 Calculate the variance when we divide two Pixels. More...
 
struct  lsst::afw::image::pixel::variance_multiplies< T1 >
 Calculate the variance when we multiply two Pixels. More...
 
struct  lsst::afw::image::pixel::variance_plus< T1 >
 Calculate the variance when we add (or subtract) two Pixels. More...
 
struct  lsst::afw::image::pixel::variance_plus_covar< T1 >
 The variance of the sum of a pair of correlated pixels. More...
 
class  lsst::afw::image::pixel::UnaryExpr< ExprT1, ImageBinOp, MaskBinOp, VarianceBinOp >
 Class for representing Unary operations. More...
 
class  lsst::afw::image::pixel::BinaryExpr< ExprT1, ExprT2, ImageBinOp, MaskBinOp, VarianceBinOp >
 Class for representing binary operations. More...
 
class  lsst::afw::image::pixel::BinaryExpr< ExprT1, double, ImageBinOp, MaskBinOp, VarianceBinOp >
 Partial specialization of BinaryExpr when ExprT2 is a double (i.e no mask/variance part) More...
 
struct  lsst::afw::image::pixel::is_specialization< T, Template >
 Template for (e1 + e2) More...
 
struct  lsst::afw::image::pixel::is_specialization< Template< Args... >, Template >
 
struct  std::hash< lsst::afw::image::pixel::Pixel< ImagePixelT, MaskPixelT, VariancePixelT > >
 
struct  std::hash< lsst::afw::image::pixel::SinglePixel< ImagePixelT, MaskPixelT, VariancePixelT > >
 

Namespaces

 lsst
 A base class for image defects.
 
 lsst::afw
 
 lsst::afw::image
 Backwards-compatibility support for depersisting the old Calib (FluxMag0/FluxMag0Err) objects.
 
 lsst::afw::image::pixel
 
 std
 STL namespace.
 

Functions

template<typename ImagePixelT , typename MaskPixelT , typename VariancePixelT >
SinglePixel< ImagePixelT, MaskPixelT, VariancePixelT > lsst::afw::image::pixel::makeSinglePixel (ImagePixelT x, MaskPixelT m, VariancePixelT v)
 Return a SinglePixel. More...
 
template<typename ExprT1 >
UnaryExpr< ExprT1, std::negate< typename exprTraits< ExprT1 >::ImagePixelT >, noop< typename exprTraits< ExprT1 >::MaskPixelT >, noop< typename exprTraits< ExprT1 >::VariancePixelT > > lsst::afw::image::pixel::operator- (ExprT1 e1)
 Template for -e1. More...
 
template<typename ExprT1 , typename ExprT2 , typename = std::enable_if_t < ( std::is_integral<ExprT1>::value || is_specialization<ExprT1,BinaryExpr>{} || is_specialization<ExprT1,SinglePixel>{} || is_specialization<ExprT1,Pixel>{}) && ( std::is_integral<ExprT2>::value || is_specialization<ExprT2,BinaryExpr>{} || is_specialization<ExprT2,SinglePixel>{} || is_specialization<ExprT2,Pixel>{} ) >>
BinaryExpr< ExprT1, ExprT2, std::plus< typename exprTraits< ExprT1 >::ImagePixelT >, bitwise_or< typename exprTraits< ExprT1 >::MaskPixelT >, variance_plus< typename exprTraits< ExprT1 >::VariancePixelT > > lsst::afw::image::pixel::operator+ (ExprT1 e1, ExprT2 e2)
 
template<typename ExprT1 , typename ExprT2 >
ExprT1 lsst::afw::image::pixel::operator+= (ExprT1 &e1, ExprT2 e2)
 template for e1 += e2 More...
 
template<typename ExprT1 , typename ExprT2 >
ExprT1 lsst::afw::image::pixel::plus (ExprT1 &lhs, ExprT2 const &rhs, float covariance)
 Like operator+(), but assume that covariance's 2*alpha*sqrt(vx*vy) More...
 
template<typename ExprT1 , typename ExprT2 >
BinaryExpr< ExprT1, ExprT2, std::minus< typename exprTraits< ExprT1 >::ImagePixelT >, bitwise_or< typename exprTraits< ExprT1 >::MaskPixelT >, variance_plus< typename exprTraits< ExprT1 >::VariancePixelT > > lsst::afw::image::pixel::operator- (ExprT1 e1, ExprT2 e2)
 Template to evaluate (e1 - e2) More...
 
template<typename ExprT1 , typename ExprT2 >
ExprT1 lsst::afw::image::pixel::operator-= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 -= e2. More...
 
template<typename ExprT1 , typename ExprT2 >
BinaryExpr< ExprT1, ExprT2, std::multiplies< typename exprTraits< ExprT1 >::ImagePixelT >, bitwise_or< typename exprTraits< ExprT1 >::MaskPixelT >, variance_multiplies< typename exprTraits< ExprT1 >::VariancePixelT > > lsst::afw::image::pixel::operator* (ExprT1 e1, ExprT2 e2)
 Template to evaluate (e1 * e2) More...
 
template<typename ExprT1 , typename ExprT2 >
ExprT1 lsst::afw::image::pixel::operator*= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 *= e2. More...
 
template<typename ExprT1 , typename ExprT2 >
BinaryExpr< ExprT1, ExprT2, std::divides< typename exprTraits< ExprT1 >::ImagePixelT >, bitwise_or< typename exprTraits< ExprT1 >::MaskPixelT >, variance_divides< typename exprTraits< ExprT1 >::VariancePixelT > > lsst::afw::image::pixel::operator/ (ExprT1 e1, ExprT2 e2)
 Template to evaluate (e1 / e2) More...
 
template<typename ExprT1 , typename ExprT2 >
ExprT1 lsst::afw::image::pixel::operator/= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 /= e2. More...
 
template<typename ImagePixelT , typename MaskPixelT , typename VariancePixelT >
std::ostreamlsst::afw::image::pixel::operator<< (std::ostream &os, SinglePixel< ImagePixelT, MaskPixelT, VariancePixelT > const &v)
 Print a SinglePixel. More...
 
template<typename ImagePixelT , typename MaskPixelT , typename VariancePixelT >
std::ostreamlsst::afw::image::pixel::operator<< (std::ostream &os, Pixel< ImagePixelT, MaskPixelT, VariancePixelT > const &v)
 Print a Pixel. More...
 
template<typename ExprT1 , typename ExprT2 , typename BinOp , typename MaskBinOp , typename VarBinOp >
std::ostreamlsst::afw::image::pixel::operator<< (std::ostream &os, BinaryExpr< ExprT1, ExprT2, BinOp, MaskBinOp, VarBinOp > const &v)
 Evaluate and print a BinaryExpr. More...