SoCudaConvolution Class Reference
[CUDA algorithms]

Convolution functions for CUDA buffers More...

#include <Inventor/cuda/algorithms/SoConvolution.h>

Inheritance diagram for SoCudaConvolution:

List of all members.

Public Member Functions
	SoCudaConvolution ()
virtual int	doSeparateConvolution1D (SoBufferObject *sourceBufferObject, SoBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
int	doSeparateConvolution1D (SoCudaBufferObject *sourceBufferObject, SoCudaBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
virtual int	doSeparateConvolution2D (SoBufferObject *sourceBufferObject, SoBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
int	doSeparateConvolution2D (SoCudaBufferObject *sourceBufferObject, SoCudaBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
virtual int	doSeparateConvolutionRow (SoBufferObject *sourceBufferObject, SoBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
int	doSeparateConvolutionRow (SoCudaBufferObject *sourceBufferObject, SoCudaBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
virtual int	doSeparateConvolutionColumn (SoBufferObject *sourceBufferObject, SoBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)
int	doSeparateConvolutionColumn (SoCudaBufferObject *sourceBufferObject, SoCudaBufferObject *targetBufferObject, float *kernelData, int kernelSize, int width, int height)

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Detailed Description

Convolution functions for CUDA buffers

This module provides functions to perform convolution on 2D buffers.

NOTE: The classes in this module do not exist in Open Inventor 10.0 and later.

Examples:

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Constructor & Destructor Documentation

SoCudaConvolution::SoCudaConvolution

(

)

Constructor.

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Member Function Documentation

int SoCudaConvolution::doSeparateConvolution1D	(	SoCudaBufferObject *	sourceBufferObject,
		SoCudaBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)

This function performs a 1D convolution on a two dimensional buffer using a 1D kernel.

CUDA buffer version

virtual int SoCudaConvolution::doSeparateConvolution1D	(	SoBufferObject *	sourceBufferObject,
		SoBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)			[virtual]

This function performs a 1D convolution on a two dimensional buffer using a 1D kernel.

• The data in the input buffer must contain floats.
• The function puts float values in the output buffer.

This convolution is equivalent to a row convolution.

Parameters:

	sourceBufferObject	The input float buffer.
	targetBufferObject	The output float buffer.
	kernelData	The kernel values.
	kernelSize	The kernel size.
	width	The width of the two dimensional buffer.
	height	The height of the two dimensional buffer.

Returns:

Returns 0 if there is no error, 1 if one of the buffers is too small.

Reimplemented from SoConvolution.

int SoCudaConvolution::doSeparateConvolution2D	(	SoCudaBufferObject *	sourceBufferObject,
		SoCudaBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)

This function performs a 2D convolution on a two dimensional buffer using a 1D kernel.

CUDA buffer version

virtual int SoCudaConvolution::doSeparateConvolution2D	(	SoBufferObject *	sourceBufferObject,
		SoBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)			[virtual]

This function performs a 2D convolution on a two dimensional buffer using a 1D kernel.

• The data in the input buffer must contain floats.
• The function puts float values in the output buffer.

The 2D convolution performs a row convolution followed by a column convolution using the same kernel for the two passes.

To do a 2D convolution with two different 1D kernels use the row/column methods doSeparateConvolutionRow() and doSeparateConvolutionColumn().

Parameters:

	sourceBufferObject	The input float buffer.
	targetBufferObject	The output float buffer.
	kernelData	The kernel values.
	kernelSize	The kernel size.
	width	The width of the two dimensional buffer.
	height	The height of the two dimensional buffer.

Returns:

Returns 0 if there is no error, 1 if one of the buffers is two small.

Reimplemented from SoConvolution.

int SoCudaConvolution::doSeparateConvolutionColumn	(	SoCudaBufferObject *	sourceBufferObject,
		SoCudaBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)

This function performs a column convolution on a two dimensional buffe using a 1D kernel.

CUDA buffer version

virtual int SoCudaConvolution::doSeparateConvolutionColumn	(	SoBufferObject *	sourceBufferObject,
		SoBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)			[virtual]

This function performs a column convolution on a two dimensional buffe using a 1D kernel.

• The data in the input buffer must contain floats.
• The function puts float values in the output buffer.

Parameters:

	sourceBufferObject	The input float buffer.
	targetBufferObject	The output float buffer.
	kernelData	The kernel values.
	kernelSize	The kernel size.
	width	The width of the two dimensional buffer.
	height	The height of the two dimensional buffer.

Returns:

Returns 0 if there is no error, 1 if one of the buffers is two small.

Reimplemented from SoConvolution.

int SoCudaConvolution::doSeparateConvolutionRow	(	SoCudaBufferObject *	sourceBufferObject,
		SoCudaBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)

This function performs a row convolution on a two dimensional buffer using a 1D kernel.

CUDA buffer version

virtual int SoCudaConvolution::doSeparateConvolutionRow	(	SoBufferObject *	sourceBufferObject,
		SoBufferObject *	targetBufferObject,
		float *	kernelData,
		int	kernelSize,
		int	width,
		int	height
	)			[virtual]

This function performs a row convolution on a two dimensional buffer using a 1D kernel.

• The data in the input buffer must contain floats.
• The function puts float values in the output buffer.

Parameters:

	sourceBufferObject	The input float buffer.
	targetBufferObject	The output float buffer.
	kernelData	The kernel values.
	kernelSize	The kernel size.
	width	The width of the two dimensional buffer.
	height	The height of the two dimensional buffer.

Returns:

Returns 0 if there is no error, 1 if one of the buffers is two small.

Reimplemented from SoConvolution.

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

• Inventor/cuda/algorithms/SoConvolution.h