LSST Applications 29.0.1,g0fba68d861+132dd21e0a,g107a963962+1bb9f809a9,g1fd858c14a+005be21cae,g21d47ad084+8a07b29876,g325378336f+5d73323c8f,g330003fc43+40b4eaffc6,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+9c28a42a87,g4e0f332c67+5fbd1e3e73,g53246c7159+fcb1d3bbc8,g60b5630c4e+9c28a42a87,g67b6fd64d1+a38b34ea13,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g7b71ed6315+fcb1d3bbc8,g86c591e316+6b2b2d0295,g8852436030+bf14db0e33,g89139ef638+a38b34ea13,g8b8da53e10+e3777245af,g9125e01d80+fcb1d3bbc8,g989de1cb63+a38b34ea13,g9f1445be69+9c28a42a87,g9f33ca652e+52c8f07962,ga9baa6287d+9c28a42a87,ga9e4eb89a6+9f84bd6575,gabe3b4be73+1e0a283bba,gb037a4e798+f3cbcd26c0,gb1101e3267+e7be8da0f8,gb58c049af0+f03b321e39,gb89ab40317+a38b34ea13,gcf25f946ba+bf14db0e33,gd6cbbdb0b4+bce7f7457e,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+53d424b1ae,ge278dab8ac+222406d50a,ge410e46f29+a38b34ea13,ge80e9994a3+664d6357dc,gf67bdafdda+a38b34ea13
LSST Data Management Base Package
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Pixel.h File Reference
#include <cmath>
#include <functional>
#include <iostream>
#include <type_traits>
#include "lsst/cpputils/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...
 
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...
 
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

namespace  lsst
 
namespace  lsst::afw
 
namespace  lsst::afw::image
 
namespace  lsst::afw::image::pixel
 
namespace  std
 STL namespace.
 

Typedefs

template<typename T1, typename T2>
using lsst::afw::image::pixel::valid_operands = std::enable_if_t<valid_binary_operands<T1, T2>>
 

Functions

template<typename ImagePixelT, typename MaskPixelT, typename VariancePixelT>
SinglePixel< ImagePixelT, MaskPixelT, VariancePixelTlsst::afw::image::pixel::makeSinglePixel (ImagePixelT x, MaskPixelT m, VariancePixelT v)
 Return a SinglePixel.
 
template<typename ExprT1>
auto lsst::afw::image::pixel::operator- (ExprT1 e1)
 Template for -e1.
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, ExprT2>>
auto lsst::afw::image::pixel::operator+ (ExprT1 e1, ExprT2 e2)
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, ExprT2>>
ExprT1 & lsst::afw::image::pixel::operator+= (ExprT1 &e1, ExprT2 const &e2)
 template for e1 += e2
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, 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)
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, 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)
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, ExprT2>>
ExprT1 lsst::afw::image::pixel::operator-= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 -= e2.
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, 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)
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, ExprT2>>
ExprT1 lsst::afw::image::pixel::operator*= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 *= e2.
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, 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)
 
template<typename ExprT1, typename ExprT2, typename = valid_operands<ExprT1, ExprT2>>
ExprT1 lsst::afw::image::pixel::operator/= (ExprT1 &e1, ExprT2 e2)
 Template to evaluate e1 /= e2.
 
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.
 
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.
 
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.
 

Variables

template<typename T>
constexpr bool lsst::afw::image::pixel::is_valid_operand
 
template<typename T1, typename T2>
constexpr bool lsst::afw::image::pixel::valid_binary_operands = is_valid_operand<T1> && is_valid_operand<T2>