LSST Applications 30.0.7,g0e76e35be5+e8e946ae08,g19811a7679+138f7293ba,g199a45376c+5e234f8357,g1fd858c14a+2f48dbc4c4,g262e1987ae+fb36cac54d,g29ae962dfc+d9108a0941,g2c21b0017a+4f59a27f16,g31e44d4a5c+b0138be388,g33ac35c1f1+28b9f72785,g35bb328faa+b0138be388,g40c9b15c53+823ad735c1,g47891489e3+bcc48a0b46,g53246c7159+b0138be388,g64539dfbff+e8e946ae08,g67b6fd64d1+bcc48a0b46,g74acd417e5+422380537a,g76965917b2+a5ca99c4d9,g786e29fd12+796b79145d,g7aefaa3e3d+dc0c200193,g86b635cae8+734fe384f0,g87389fa792+d8b5378923,g89139ef638+bcc48a0b46,g8bbb235e95+3f4f7f9447,g8ea07a8fe4+78a4c88802,g9290983e33+ffdc83c6f7,g92c671f44c+e8e946ae08,gaa753fd333+03f406da14,gbf99507273+b0138be388,gc49b57b85e+8df26ee1f0,gca7fc764a6+bcc48a0b46,gd7ef33dd92+bcc48a0b46,gdab6d2f7ff+422380537a,ge1c02a5578+b0138be388,ge410e46f29+bcc48a0b46,ge80df9fc40+e6db5413d1,geaed405ab2+1de65a85c6,gf5dcc679e7+35a0ce2edd,gf5f1c85443+e8e946ae08
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>