OpenCV 5.0.0-pre
Open Source Computer Vision
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Base class for transform using lookup table. More...

#include <opencv2/cudaarithm.hpp>

Collaboration diagram for cv::cuda::LookUpTable:

Public Member Functions

virtual void transform (InputArray src, OutputArray dst, Stream &stream=Stream::Null())=0
 Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state.
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage.
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
 
void write (FileStorage &fs, const String &name) const
 

Additional Inherited Members

- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 
- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Base class for transform using lookup table.

Member Function Documentation

◆ transform()

virtual void cv::cuda::LookUpTable::transform ( InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )
pure virtual

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

Parameters
srcSource matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.
dstDestination matrix.
streamStream for the asynchronous version.

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