Data Structures
class	GpuMat
	Base storage class for GPU memory with reference counting. More...
class	HostMem
	Class with reference counting wrapping special memory type allocation functions from CUDA. More...
class	Stream
	This class encapsulates a queue of asynchronous calls. More...
struct	StreamAccessor
	Class that enables getting cudaStream_t from cuda::Stream. More...
struct	EventAccessor
	Class that enables getting cudaEvent_t from cuda::Event. More...
Functions
CV_EXPORTS void	createContinuous (int rows, int cols, int type, OutputArray arr)
	Creates a continuous matrix.
CV_EXPORTS void	ensureSizeIsEnough (int rows, int cols, int type, OutputArray arr)
	Ensures that the size of a matrix is big enough and the matrix has a proper type.
CV_EXPORTS void	setBufferPoolUsage (bool on)
	BufferPool management (must be called before Stream creation)
CV_EXPORTS void	registerPageLocked (Mat &m)
	Page-locks the memory of matrix and maps it for the device(s).
CV_EXPORTS void	unregisterPageLocked (Mat &m)
	Unmaps the memory of matrix and makes it pageable again.

Function Documentation

CV_EXPORTS void cv::cuda::createContinuous	(	int	rows,
		int	cols,
		int	type,
		OutputArray	arr
	)

Creates a continuous matrix.

Parameters:

rows	Row count.
cols	Column count.
type	Type of the matrix.
arr	Destination matrix. This parameter changes only if it has a proper type and area ( $\texttt{rows} \times \texttt{cols}$ ).

Matrix is called continuous if its elements are stored continuously, that is, without gaps at the end of each row.

CV_EXPORTS void cv::cuda::ensureSizeIsEnough	(	int	rows,
		int	cols,
		int	type,
		OutputArray	arr
	)

Ensures that the size of a matrix is big enough and the matrix has a proper type.

Parameters:

rows	Minimum desired number of rows.
cols	Minimum desired number of columns.
type	Desired matrix type.
arr	Destination matrix.

The function does not reallocate memory if the matrix has proper attributes already.

CV_EXPORTS void cv::cuda::registerPageLocked ( Mat & m )

Page-locks the memory of matrix and maps it for the device(s).

Parameters:

m	Input matrix.

CV_EXPORTS void cv::cuda::setBufferPoolUsage ( bool on )

BufferPool management (must be called before Stream creation)

CV_EXPORTS void cv::cuda::unregisterPageLocked ( Mat & m )

Unmaps the memory of matrix and makes it pageable again.

Parameters:

m	Input matrix.

Data Structures
[Core part]