LSST Applications g0fba68d861+5616995c1c,g1ebb85f214+2420ccdea7,g1fd858c14a+44c57a1f81,g21d47ad084+8e51fce9ac,g262e1987ae+1a7d68eb3b,g2cef7863aa+3bd8df3d95,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+2420ccdea7,g47891489e3+5c6313fe9a,g53246c7159+fcb1d3bbc8,g646c943bdb+dbb9921566,g67b6fd64d1+5c6313fe9a,g6bd32b75b5+2420ccdea7,g74acd417e5+37fc0c974d,g786e29fd12+cf7ec2a62a,g86c591e316+6e13bcb9e9,g87389fa792+1e0a283bba,g89139ef638+5c6313fe9a,g90f42f885a+fce05a46d3,g9125e01d80+fcb1d3bbc8,g93e38de9ac+5345a64125,g95a1e89356+47d08a1cc6,g97be763408+bba861c665,ga9e4eb89a6+85210110a1,gb0b61e0e8e+1f27f70249,gb58c049af0+f03b321e39,gb89ab40317+5c6313fe9a,gc4e39d7843+4e09c98c3d,gd16ba4ae74+5402bcf54a,gd8ff7fe66e+2420ccdea7,gd9a9a58781+fcb1d3bbc8,gdab6d2f7ff+37fc0c974d,gde280f09ee+604b327636,ge278dab8ac+50e2446c94,ge410e46f29+5c6313fe9a,gef3c2e6661+6b480e0fb7,gf67bdafdda+5c6313fe9a,gffca2db377+fcb1d3bbc8,v29.2.0.rc1
LSST Data Management Base Package
Loading...
Searching...
No Matches
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>