ImFusion SDK 4.3
Scalar< T > Class Template Reference

#include <ImFusion/ImageMath/Tpl/Scalar.h>

Specialization of ExprBaseTpl for a single scalar value. More...

+ Inheritance diagram for Scalar< T >:

Detailed Description

template<typename T>
class ImFusion::ImageMath::Scalar< T >

Specialization of ExprBaseTpl for a single scalar value.

Forward declaration of Scalar, needed below.

Just a wrapper for a single scalar value which is "streamed" to all pixels.

Public Types

using expr_type = typename std::decay<T>::type
 
using var_type = void
 
using imf_img_type = void
 

Public Member Functions

 Scalar (T val)
 
template<typename ImgT>
auto convertToMemImgExpr () const noexcept
 
auto convertToSharedImgExpr (std::size_t) const
 
IMFUSION_STRONG_INLINE expr_type eval (const std::size_t, const vec4i &) const
 Evaluate the expression at position i.
 
ImageDescriptor imgDesc () const override final
 get image descriptor
 
int numImgs () const override final
 Get number of images.
 
DeviceStrategy deviceStrategy () const override final
 Return DeviceStrategy of this expression.
 
- Public Member Functions inherited from ExprBaseTpl< Scalar< T > >
const auto & get () const
 get a const reference to this with the actual type
 
auto & get ()
 get a reference to this with the actual type
 
auto polyWrapper () const
 
auto uniquePolyWrapper () const
 
auto sharedPolyWrapper () const
 
auto binaryOp (const ExprBaseTpl< RhsT > &rhs, const Op &func=Op()) const
 
auto binaryOp (RhsT rhs, const Op &func=Op(), typename std::enable_if< std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 
auto binaryOp (Eigen::Matrix< RhsT, Dim, 1, Options, MaxRows, MaxCols > rhs, const Op &func=Op(), typename std::enable_if< std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 
auto binaryOp (const ExprBaseTpl< RhsT > &rhs, const Op &func, const StringOp &stringFunc) const
 
auto binaryOp (RhsT rhs, const Op &func, const StringOp &stringFunc, typename std::enable_if< std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 
auto binaryOp (Eigen::Matrix< RhsT, Dim, 1, Options, MaxRows, MaxCols > rhs, const Op &func, const StringOp &stringFunc, typename std::enable_if< std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 
auto unaryOp (const Op &func=Op()) const
 
auto unaryOp (const Op &func, const StringOp &stringFunc) const
 
reduction_type reduce (std::vector< vec4i > *arg=nullptr) const
 
auto forceCPU () const
 Forces CPU execution.
 
auto forceGPU () const
 Forces GPU execution.
 
auto channelSwizzle (const std::vector< std::size_t > &indices) const
 
auto head ()
 
 ADD_SPECIAL_SWIZZLE (x, {0})
 
 ADD_SPECIAL_SWIZZLE (y, {1})
 
 ADD_SPECIAL_SWIZZLE (z, {2})
 
 ADD_SPECIAL_SWIZZLE (w, {3})
 
 ADD_SPECIAL_SWIZZLE (r, {0})
 
 ADD_SPECIAL_SWIZZLE (g, {1})
 
 ADD_SPECIAL_SWIZZLE (b, {2})
 
 ADD_SPECIAL_SWIZZLE (a, {3})
 
 ADD_SPECIAL_SWIZZLE (xy, std::vector< size_t >({0, 1}))
 
 ADD_SPECIAL_SWIZZLE (rg, std::vector< size_t >({0, 1}))
 
 ADD_SPECIAL_SWIZZLE (xyz, std::vector< size_t >({0, 1, 2}))
 
 ADD_SPECIAL_SWIZZLE (xyzw, std::vector< size_t >({0, 1, 2, 3}))
 
 ADD_SPECIAL_SWIZZLE (rgb, std::vector< size_t >({0, 1, 2}))
 
 ADD_SPECIAL_SWIZZLE (rgba, std::vector< size_t >({0, 1, 2, 3}))
 
auto streamChannels (int numStreamedChannels) const
 
auto substituteVariableWithImg (T &img) const
 
auto operator- () const
 
auto cast () const
 
auto storageToOriginal (const ImageDescriptor &desc)
 Apply shift/scale to the operand,.
 
auto originalToStorage (const ImageDescriptor &desc)
 Apply shift/scale to the operand,.
 
auto channelReduction ()
 
 ADD_CHANNEL_REDUCTION_OPERATOR (channelSum, add)
 
 ADD_CHANNEL_REDUCTION_OPERATOR (channelProd, mult)
 
 ADD_CHANNEL_REDUCTION_OPERATOR (channelMax, max)
 
 ADD_CHANNEL_REDUCTION_OPERATOR (channelMin, min)
 
 ADD_CHANNEL_REDUCTION_OPERATOR (length, length)
 
auto channelMean ()
 
auto squaredLength () const
 
auto channelDistance (const ExprBaseTpl< RhsT > &other) const
 
auto channelDistance (const Eigen::Matrix< T, Dim, 1 > c)
 
auto dot (const ExprBaseTpl< RhsT > &other) const
 
auto stashThenApply (const ExprBaseTpl< VariableT > &varExpr) const
 
auto hnormalized () const
 
auto normalized () const
 
auto homogeneous () const
 
auto appendZero () const
 
auto select (const ExprBaseTpl< LhsT > &lhs, const ExprBaseTpl< RhsT > &rhs) const
 Ternary (condition.x ? if_true : if_false) operator.
 
auto select (LhsT lhs, RhsT rhs, typename std::enable_if< std::is_arithmetic_v< LhsT > &&std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 Ternary (condition.x ? if_true : if_false) operator.
 
auto select (LhsT lhs, const ExprBaseTpl< RhsT > &rhs, typename std::enable_if< std::is_arithmetic_v< LhsT > >::type *=nullptr) const
 Ternary (condition.x ? if_true : if_false) operator.
 
auto select (const ExprBaseTpl< LhsT > &lhs, RhsT rhs, typename std::enable_if< std::is_arithmetic_v< RhsT > >::type *=nullptr) const
 Ternary (condition.x ? if_true : if_false) operator.
 
 ADD_REDUCTION_OPERATOR (sum, add)
 
 ADD_REDUCTION_OPERATOR (prod, mult)
 
 ADD_ARG_REDUCTION_OPERATOR (min, min)
 
 ADD_ARG_REDUCTION_OPERATOR (max, max)
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > mean () const
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > l1Norm () const
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > squaredl2Norm () const
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > l2Norm () const
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > lpNorm (double p) const
 
Eigen::Matrix< double, Eigen::Dynamic, 1 > lInfNorm () const
 
auto evaluateIntoImage (bool clearShiftScale=false) const
 Create an empty image and evaluate this expression into it.
 
auto toMask () const
 
auto toDeformation (const ImageDescriptorWorld imgDesc) const
 
auto resample (const ImageDescriptorWorld &inputDesc, const ImageDescriptorWorld &outputDesc) const
 
auto resample (SharedImage &inputDesc, SharedImage &outputDesc, std::enable_if_t< std::is_same_v< T, SharedImage > > *=nullptr) const
 
auto resample (SharedImageSet &inputDesc, SharedImageSet &outputDesc, std::enable_if_t< std::is_same_v< T, SharedImageSet > > *=nullptr) const
 
- Public Member Functions inherited from ScalarGl< Scalar< T > >
std::string evalString (bool tagAndAssign=true) const override
 Print expression.
 
void tagAndAssignNames (std::unordered_map< internal::TaggingIndex, const void * > &taggedLeaves, std::unordered_map< std::type_index, int > &countPerLeafType, const std::string &prefix) const override
 We need to tag leaves and tell unique leaves that they are responsible to define the uniforms and set the shader arguments.
 
void getUniformDefinitionList (std::string &definitionList, const std::vector< int > &, const std::string &) const override
 Collect uniform/sampler definitions.
 
void getVariableDefinitionList (std::string &, const std::vector< int > &, const std::string &) const override
 Collect variable definitions.
 
int setArguments (GL::Program &p, const std::vector< int > &, const std::string &prefix) const override
 Set uniform/sampler arguments.
 
std::vector< internal::GlExprInterface * > children () override
 Used for traversing the expression tree. Contains the immediate children of node.
 
std::vector< const internal::GlExprInterface * > children () const override
 Used for traversing the expression tree. Contains the immediate children of node.
 
- Public Member Functions inherited from GlExprInterface
ExprInterfaceexprInterface ()
 Get image descriptor of the wrapped expression.
 
const ExprInterfaceexprInterface () const
 
virtual bool setMagFilter (ImageMath::MagFilter mag)
 Set interpolation behaviour of the current leaf (only)
 
virtual bool setWrap (ImageMath::Wrap wrap)
 Set interpolation behaviour of the current leaf (only)
 
bool setMagFilterRecursive (ImageMath::MagFilter mag)
 Set interpolation behaviour of the current leaf and all of its children.
 
bool setWrapRecursive (ImageMath::Wrap wrap)
 Set wrap behaviour of the current leaf and all of its children.
 

Static Public Attributes

static constexpr bool has_variable = false
 

Member Function Documentation

◆ imgDesc()

template<typename T>
ImageDescriptor imgDesc ( ) const
inlinefinaloverridevirtual

get image descriptor

Implements ExprInterface.

◆ numImgs()

template<typename T>
int numImgs ( ) const
inlinefinaloverridevirtual

Get number of images.

Implements ExprInterface.

◆ deviceStrategy()

template<typename T>
DeviceStrategy deviceStrategy ( ) const
inlinefinaloverridevirtual

Return DeviceStrategy of this expression.

Implements ExprInterface.


The documentation for this class was generated from the following files:
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