gcvl::cuda::BlockMatching Class Reference

#include <cudablockmatching.h>

Inheritance diagram for gcvl::cuda::BlockMatching:

List of all members.

Public Member Functions
	BlockMatching (Core &core, std::string inputLeft, std::string inputRight, std::unique_ptr< unsigned char[]> &output)
	Class constructor.
	~BlockMatching ()
	Class destructor.
void	setAggDim (const int val)
	Sets the aggregation window dimension.
void	setMaxDisp (const int val)
	Sets the maximum disparity.
void	setNormalize (const bool val)
	Activates or deactivates disparity map normalization.
unsigned int	getWidth ()
	Obtains image width.
unsigned int	getHeight ()
	Obtains image height.
void	prepare ()
	Function that performs pre-processing steps.
void	setArgs ()
	Function that sets arguments.
void	launch ()
	Launch the CUDA kernels.
void	postpare ()
	Function that waits for the kernels to finish processing.

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Constructor & Destructor Documentation

BlockMatching::BlockMatching	(	Core &	core,
		std::string	inputLeft,
		std::string	inputRight,
		std::unique_ptr< unsigned char[]> &	output
	)

Class constructor.

Parameters:

core	OpenCL core instance in which the user wants to run the Block Matching algorithm.
inputLeft	path to the left input image.
inputRight	path to the right input image.
output	pointer to the Block Matching resulting disparity map.

See also:

~BlockMatching()

BlockMatching::~BlockMatching

(

)

Class destructor.

See also:

BlockMatching()

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Member Function Documentation

unsigned int gcvl::cuda::BlockMatching::getHeight

(

)

[inline]

Obtains image height.

Returns:

image height in pixels.

unsigned int gcvl::cuda::BlockMatching::getWidth

(

)

[inline]

Obtains image width.

Returns:

image width in pixels.

void BlockMatching::launch

(

)

[virtual]

Launch the CUDA kernels.

Implements gcvl::cuda::Algorithm.

void BlockMatching::postpare

(

)

[virtual]

Function that waits for the kernels to finish processing.

Implements gcvl::cuda::Algorithm.

void BlockMatching::prepare

(

)

[virtual]

Function that performs pre-processing steps.

Implements gcvl::cuda::Algorithm.

void gcvl::cuda::BlockMatching::setAggDim

(

const int

val

)

[inline]

Sets the aggregation window dimension.

Parameters:

val	aggregation window dimension in pixels.

void BlockMatching::setArgs

(

)

[virtual]

Function that sets arguments.

Implements gcvl::cuda::Algorithm.

void gcvl::cuda::BlockMatching::setMaxDisp

(

const int

val

)

[inline]

Sets the maximum disparity.

Parameters:

val	maximum disparity in pixels.

void gcvl::cuda::BlockMatching::setNormalize

(

const bool

val

)

[inline]

Activates or deactivates disparity map normalization.

Parameters:

val	normalization usage.

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

• src/gcvl/cuda/cudablockmatching.h
• src/gcvl/cuda/cudablockmatching.cpp