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BlockwiseConvolutionOptions< N > Class Template Reference

#include <vigra/multi_blockwise.hxx>

Inheritance diagram for BlockwiseConvolutionOptions< N >:
BlockwiseOptions ConvolutionOptions< N > ParallelOptions

Additional Inherited Members

Public Types inherited from ParallelOptions
enum  { Auto = -1 , Nice = -2 , NoThreads = 0 }
Public Member Functions inherited from BlockwiseOptions
BlockwiseOptions & blockShape (const Shape &blockShape)
template<class T, int N>
BlockwiseOptions & blockShape (const TinyVector< T, N > &blockShape)
BlockwiseOptions & blockShape (MultiArrayIndex blockShape)
Shape const & getBlockShape () const
template<int N>
TinyVector< MultiArrayIndex, N > getBlockShapeN () const
Public Member Functions inherited from ParallelOptions
int getActualNumThreads () const
 Get desired number of threads.
int getNumThreads () const
 Get desired number of threads.
ParallelOptions & numThreads (const int n)
 Set the number of threads or one of the constants Auto, Nice and NoThreads.
Public Member Functions inherited from ConvolutionOptions< N >
ConvolutionOptions< dim > & filterWindowSize (double ratio)
ConvolutionOptions< dim > & innerScale (...)
ConvolutionOptions< dim > & outerScale (...)
ConvolutionOptions< dim > & resolutionStdDev (...)
ConvolutionOptions< dim > & stdDev (...)
ConvolutionOptions< dim > & stepSize (...)
ConvolutionOptions< dim > & subarray (Shape const &from, Shape const &to)

Detailed Description

template<unsigned int N>
class vigra::BlockwiseConvolutionOptions< N >

Option class for blockwise convolution algorithms.

Simply derives from BlockwiseOptions and ConvolutionOptions to join their capabilities.


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

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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vigra 1.12.3