cv::gpu::CudaMem Class Reference

#include <gpu.hpp>

Public Types
enum	{ ALLOC_PAGE_LOCKED = 1, ALLOC_ZEROCOPY = 2, ALLOC_WRITE_COMBINED = 4 }

Public Member Functions
	CudaMem ()
	CudaMem (const CudaMem &m)
	CudaMem (int rows, int cols, int type, int _alloc_type=ALLOC_PAGE_LOCKED)
	CudaMem (Size size, int type, int alloc_type=ALLOC_PAGE_LOCKED)
	CudaMem (const Mat &m, int alloc_type=ALLOC_PAGE_LOCKED)
	creates from cv::Mat with coping data More...
	~CudaMem ()
CudaMem &	operator= (const CudaMem &m)
CudaMem	clone () const
	returns deep copy of the matrix, i.e. the data is copied More...
void	create (int rows, int cols, int type, int alloc_type=ALLOC_PAGE_LOCKED)
	allocates new matrix data unless the matrix already has specified size and type. More...
void	create (Size size, int type, int alloc_type=ALLOC_PAGE_LOCKED)
void	release ()
	decrements reference counter and released memory if needed. More...
Mat	createMatHeader () const
	returns matrix header with disabled reference counting for CudaMem data. More...
	operator Mat () const
GpuMat	createGpuMatHeader () const
	maps host memory into device address space and returns GpuMat header for it. Throws exception if not supported by hardware. More...
	operator GpuMat () const
bool	isContinuous () const
size_t	elemSize () const
size_t	elemSize1 () const
int	type () const
int	depth () const
int	channels () const
size_t	step1 () const
Size	size () const
bool	empty () const

Static Public Member Functions
static bool	canMapHostMemory ()

Public Attributes
int	flags
int	rows
int	cols
size_t	step
uchar *	data
int *	refcount
uchar *	datastart
uchar *	dataend
int	alloc_type

Member Enumeration Documentation

anonymous enum

Enumerator
ALLOC_PAGE_LOCKED
ALLOC_ZEROCOPY
ALLOC_WRITE_COMBINED

Constructor & Destructor Documentation

cv::gpu::CudaMem::CudaMem

(

)

cv::gpu::CudaMem::CudaMem

(

const CudaMem &

m

)

cv::gpu::CudaMem::CudaMem	(	int	rows,
		int	cols,
		int	type,
		int	_alloc_type = ALLOC_PAGE_LOCKED
	)

cv::gpu::CudaMem::CudaMem	(	Size	size,
		int	type,
		int	alloc_type = ALLOC_PAGE_LOCKED
	)

cv::gpu::CudaMem::CudaMem ( const Mat &  m, int  alloc_type = ALLOC_PAGE_LOCKED  )

explicit

creates from cv::Mat with coping data

cv::gpu::CudaMem::~CudaMem

(

)

Member Function Documentation

static bool cv::gpu::CudaMem::canMapHostMemory ( )

static

int cv::gpu::CudaMem::channels

(

)

const

CudaMem cv::gpu::CudaMem::clone

(

)

const

returns deep copy of the matrix, i.e. the data is copied

void cv::gpu::CudaMem::create	(	int	rows,
		int	cols,
		int	type,
		int	alloc_type = ALLOC_PAGE_LOCKED
	)

allocates new matrix data unless the matrix already has specified size and type.

void cv::gpu::CudaMem::create	(	Size	size,
		int	type,
		int	alloc_type = ALLOC_PAGE_LOCKED
	)

GpuMat cv::gpu::CudaMem::createGpuMatHeader

(

)

const

maps host memory into device address space and returns GpuMat header for it. Throws exception if not supported by hardware.

Mat cv::gpu::CudaMem::createMatHeader

(

)

const

returns matrix header with disabled reference counting for CudaMem data.

int cv::gpu::CudaMem::depth

(

)

const

size_t cv::gpu::CudaMem::elemSize

(

)

const

size_t cv::gpu::CudaMem::elemSize1

(

)

const

bool cv::gpu::CudaMem::empty

(

)

const

bool cv::gpu::CudaMem::isContinuous

(

)

const

cv::gpu::CudaMem::operator GpuMat

(

)

const

cv::gpu::CudaMem::operator Mat

(

)

const

CudaMem& cv::gpu::CudaMem::operator=

(

const CudaMem &

m

)

void cv::gpu::CudaMem::release

(

)

decrements reference counter and released memory if needed.

Size cv::gpu::CudaMem::size

(

)

const

size_t cv::gpu::CudaMem::step1

(

)

const

int cv::gpu::CudaMem::type

(

)

const

Member Data Documentation

int cv::gpu::CudaMem::alloc_type

int cv::gpu::CudaMem::cols

uchar* cv::gpu::CudaMem::data

uchar* cv::gpu::CudaMem::dataend

uchar* cv::gpu::CudaMem::datastart

int cv::gpu::CudaMem::flags

int* cv::gpu::CudaMem::refcount

int cv::gpu::CudaMem::rows

size_t cv::gpu::CudaMem::step

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

• gpu/include/opencv2/gpu/gpu.hpp