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BlockwiseConvolutionOptions< N > Class Template Reference |
#include <vigra/multi_blockwise.hxx>
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. More... | |
int | getNumThreads () const |
Get desired number of threads. More... | |
ParallelOptions & | numThreads (const int n) |
Set the number of threads or one of the constants Auto , Nice and NoThreads . More... | |
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) |
Option class for blockwise convolution algorithms.
Simply derives from vigra::BlockwiseOptions and vigra::ConvolutionOptions to join their capabilities.
© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) |
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