cv::cudev::GpuMat_< T > Class Template Reference

#include <opencv2/cudev/ptr2d/gpumat.hpp>

Inheritance diagram for cv::cudev::GpuMat_< T >:

Public Types
typedef T	value_type

Public Member Functions
__host__	GpuMat_ (Allocator *allocator=defaultAllocator())
	default constructor
__host__	GpuMat_ (int arows, int acols, Allocator *allocator=defaultAllocator())
	constructs GpuMat of the specified size
__host__	GpuMat_ (Size asize, Allocator *allocator=defaultAllocator())
__host__	GpuMat_ (int arows, int acols, Scalar val, Allocator *allocator=defaultAllocator())
	constucts GpuMat and fills it with the specified value
__host__	GpuMat_ (Size asize, Scalar val, Allocator *allocator=defaultAllocator())
__host__	GpuMat_ (const GpuMat_ &m)
	copy constructor
__host__	GpuMat_ (const GpuMat &m, Allocator *allocator=defaultAllocator())
	copy/conversion constructor. If m is of different type, it's converted
__host__	GpuMat_ (int arows, int acols, T *adata, size_t astep=Mat::AUTO_STEP)
	constructs a matrix on top of user-allocated data. step is in bytes(!!!), regardless of the type
__host__	GpuMat_ (Size asize, T *adata, size_t astep=Mat::AUTO_STEP)
__host__	GpuMat_ (const GpuMat_ &m, Range arowRange, Range acolRange)
	selects a submatrix
__host__	GpuMat_ (const GpuMat_ &m, Rect roi)
__host__	GpuMat_ (InputArray arr, Allocator *allocator=defaultAllocator())
	builds GpuMat from host memory (Blocking call)
template<class Body >
__host__	GpuMat_ (const Expr< Body > &expr)
	expression templates
__host__ GpuMat_ &	adjustROI (int dtop, int dbottom, int dleft, int dright)
template<class Body >
__host__ GpuMat_ &	assign (const Expr< Body > &expr, Stream &stream)
__host__ int	channels () const
__host__ GpuMat_	clone () const
	overridden forms of GpuMat::row() etc.
__host__ GpuMat_	col (int x) const
__host__ GpuMat_	colRange (int startcol, int endcol) const
__host__ GpuMat_	colRange (Range r) const
__host__ void	create (int arows, int acols)
	allocates new GpuMat data unless the GpuMat already has specified size and type
__host__ void	create (Size asize)
__host__ int	depth () const
__host__ size_t	elemSize () const
	overridden forms of GpuMat::elemSize() etc.
__host__ size_t	elemSize1 () const
__host__ GpuMat_	operator() (Range rowRange, Range colRange) const
__host__ GpuMat_	operator() (Rect roi) const
__host__ GpuMat_ &	operator= (const GpuMat_ &m)
	assignment operators
template<class Body >
__host__ GpuMat_ &	operator= (const Expr< Body > &expr)
__host__ T *	operator[] (int y)
	more convenient forms of row and element access operators
__host__ const T *	operator[] (int y) const
__host__ GpuMat_	row (int y) const
__host__ GpuMat_	rowRange (int startrow, int endrow) const
__host__ GpuMat_	rowRange (Range r) const
__host__ size_t	step1 () const
__host__ size_t	stepT () const
	returns step()/sizeof(T)
__host__ void	swap (GpuMat_ &mat)
	swaps with other smart pointer
__host__ int	type () const
__host__ void	upload (InputArray arr)
	pefroms upload data to GpuMat (Blocking call)
__host__ void	upload (InputArray arr, Stream &stream)
	pefroms upload data to GpuMat (Non-Blocking call)
Public Member Functions inherited from cv::cuda::GpuMat
	GpuMat (GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	default constructor
	GpuMat (int rows, int cols, int type, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	constructs GpuMat of the specified size and type
	GpuMat (Size size, int type, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	GpuMat (int rows, int cols, int type, Scalar s, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	constucts GpuMat and fills it with the specified value _s
	GpuMat (Size size, int type, Scalar s, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	GpuMat (const GpuMat &m)
	copy constructor
	GpuMat (int rows, int cols, int type, void *data, size_t step=Mat::AUTO_STEP)
	constructor for GpuMat headers pointing to user-allocated data
	GpuMat (Size size, int type, void *data, size_t step=Mat::AUTO_STEP)
	GpuMat (const GpuMat &m, Range rowRange, Range colRange)
	creates a GpuMat header for a part of the bigger matrix
	GpuMat (const GpuMat &m, Rect roi)
	GpuMat (InputArray arr, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
	builds GpuMat from host memory (Blocking call)
	~GpuMat ()
	destructor - calls release()
GpuMat &	adjustROI (int dtop, int dbottom, int dleft, int dright)
	moves/resizes the current GpuMat ROI inside the parent GpuMat
void	assignTo (GpuMat &m, int type=-1) const
int	channels () const
	returns number of channels
GpuMat	clone () const
	returns deep copy of the GpuMat, i.e. the data is copied
GpuMat	col (int x) const
	returns a new GpuMat header for the specified column
GpuMat	colRange (int startcol, int endcol) const
	... for the specified column span
GpuMat	colRange (Range r) const
void	convertTo (OutputArray dst, int rtype) const
	converts GpuMat to another datatype (Blocking call)
void	convertTo (OutputArray dst, int rtype, Stream &stream) const
	converts GpuMat to another datatype (Non-Blocking call)
void	convertTo (OutputArray dst, int rtype, double alpha, double beta=0.0) const
	converts GpuMat to another datatype with scaling (Blocking call)
void	convertTo (OutputArray dst, int rtype, double alpha, Stream &stream) const
	converts GpuMat to another datatype with scaling (Non-Blocking call)
void	convertTo (OutputArray dst, int rtype, double alpha, double beta, Stream &stream) const
	converts GpuMat to another datatype with scaling (Non-Blocking call)
void	copyTo (OutputArray dst) const
	copies the GpuMat content to device memory (Blocking call)
void	copyTo (OutputArray dst, Stream &stream) const
	copies the GpuMat content to device memory (Non-Blocking call)
void	copyTo (OutputArray dst, InputArray mask) const
	copies those GpuMat elements to "m" that are marked with non-zero mask elements (Blocking call)
void	copyTo (OutputArray dst, InputArray mask, Stream &stream) const
	copies those GpuMat elements to "m" that are marked with non-zero mask elements (Non-Blocking call)
void	create (int rows, int cols, int type)
	allocates new GpuMat data unless the GpuMat already has specified size and type
void	create (Size size, int type)
int	depth () const
	returns element type
void	download (OutputArray dst) const
	Performs data download from GpuMat (Blocking call)
void	download (OutputArray dst, Stream &stream) const
	Performs data download from GpuMat (Non-Blocking call)
size_t	elemSize () const
	returns element size in bytes
size_t	elemSize1 () const
	returns the size of element channel in bytes
bool	empty () const
	returns true if GpuMat data is NULL
bool	isContinuous () const
void	locateROI (Size &wholeSize, Point &ofs) const
	locates GpuMat header within a parent GpuMat
template<typename _Tp >
	operator PtrStep< _Tp > () const
template<typename _Tp >
	operator PtrStepSz< _Tp > () const
GpuMat	operator() (Range rowRange, Range colRange) const
	extracts a rectangular sub-GpuMat (this is a generalized form of row, rowRange etc.)
GpuMat	operator() (Rect roi) const
GpuMat &	operator= (const GpuMat &m)
	assignment operators
uchar *	ptr (int y=0)
	returns pointer to y-th row
const uchar *	ptr (int y=0) const
template<typename _Tp >
_Tp *	ptr (int y=0)
	template version of the above method
template<typename _Tp >
const _Tp *	ptr (int y=0) const
void	release ()
	decreases reference counter, deallocate the data when reference counter reaches 0
GpuMat	reshape (int cn, int rows=0) const
GpuMat	row (int y) const
	returns a new GpuMat header for the specified row
GpuMat	rowRange (int startrow, int endrow) const
	... for the specified row span
GpuMat	rowRange (Range r) const
GpuMat &	setTo (Scalar s)
	sets some of the GpuMat elements to s (Blocking call)
GpuMat &	setTo (Scalar s, Stream &stream)
	sets some of the GpuMat elements to s (Non-Blocking call)
GpuMat &	setTo (Scalar s, InputArray mask)
	sets some of the GpuMat elements to s, according to the mask (Blocking call)
GpuMat &	setTo (Scalar s, InputArray mask, Stream &stream)
	sets some of the GpuMat elements to s, according to the mask (Non-Blocking call)
Size	size () const
	returns GpuMat size : width == number of columns, height == number of rows
size_t	step1 () const
	returns step/elemSize1()
void	swap (GpuMat &mat)
	swaps with other smart pointer
int	type () const
	returns element type
void	updateContinuityFlag ()
	internal use method: updates the continuity flag
void	upload (InputArray arr)
	Performs data upload to GpuMat (Blocking call)
void	upload (InputArray arr, Stream &stream)
	Performs data upload to GpuMat (Non-Blocking call)

Additional Inherited Members
Static Public Member Functions inherited from cv::cuda::GpuMat
static GpuMat::Allocator *	defaultAllocator ()
	default allocator
static void	setDefaultAllocator (GpuMat::Allocator *allocator)
Public Attributes inherited from cv::cuda::GpuMat
Allocator *	allocator
	allocator
int	cols
uchar *	data
	pointer to the data
const uchar *	dataend
uchar *	datastart
	helper fields used in locateROI and adjustROI
int	flags
int *	refcount
int	rows
	the number of rows and columns
size_t	step
	a distance between successive rows in bytes; includes the gap if any

Member Typedef Documentation

template<typename T>

typedef T cv::cudev::GpuMat_< T >::value_type

Constructor & Destructor Documentation

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_

(

Allocator *

allocator = defaultAllocator()

)

default constructor

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	int	arows,
		int	acols,
		Allocator *	allocator = defaultAllocator()
	)

constructs GpuMat of the specified size

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( Size  asize, Allocator *  allocator = defaultAllocator()  )

explicit

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	int	arows,
		int	acols,
		Scalar	val,
		Allocator *	allocator = defaultAllocator()
	)

constucts GpuMat and fills it with the specified value

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	Size	asize,
		Scalar	val,
		Allocator *	allocator = defaultAllocator()
	)

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_

(

const GpuMat_< T > &

m

)

copy constructor

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const GpuMat &  m, Allocator *  allocator = defaultAllocator()  )

explicit

copy/conversion constructor. If m is of different type, it's converted

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	int	arows,
		int	acols,
		T *	adata,
		size_t	astep = Mat::AUTO_STEP
	)

constructs a matrix on top of user-allocated data. step is in bytes(!!!), regardless of the type

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	Size	asize,
		T *	adata,
		size_t	astep = Mat::AUTO_STEP
	)

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	const GpuMat_< T > &	m,
		Range	arowRange,
		Range	acolRange
	)

selects a submatrix

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_	(	const GpuMat_< T > &	m,
		Rect	roi
	)

template<typename T>

__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( InputArray  arr, Allocator *  allocator = defaultAllocator()  )

explicit

builds GpuMat from host memory (Blocking call)

template<typename T>

template<class Body >

__host__ cv::cudev::GpuMat_< T >::GpuMat_

(

const Expr< Body > &

expr

)

expression templates

Member Function Documentation

template<typename T>

__host__ GpuMat_& cv::cudev::GpuMat_< T >::adjustROI	(	int	dtop,
		int	dbottom,
		int	dleft,
		int	dright
	)

template<typename T>

template<class Body >

__host__ GpuMat_& cv::cudev::GpuMat_< T >::assign	(	const Expr< Body > &	expr,
		Stream &	stream
	)

template<typename T>

__host__ int cv::cudev::GpuMat_< T >::channels

(

)

const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::clone

(

)

const

overridden forms of GpuMat::row() etc.

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::col

(

int

x

)

const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::colRange	(	int	startcol,
		int	endcol
	)		const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::colRange

(

Range

r

)

const

template<typename T>

__host__ void cv::cudev::GpuMat_< T >::create	(	int	arows,
		int	acols
	)

allocates new GpuMat data unless the GpuMat already has specified size and type

template<typename T>

__host__ void cv::cudev::GpuMat_< T >::create

(

Size

asize

)

template<typename T>

__host__ int cv::cudev::GpuMat_< T >::depth

(

)

const

template<typename T>

__host__ size_t cv::cudev::GpuMat_< T >::elemSize

(

)

const

overridden forms of GpuMat::elemSize() etc.

template<typename T>

__host__ size_t cv::cudev::GpuMat_< T >::elemSize1

(

)

const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::operator()	(	Range	rowRange,
		Range	colRange
	)		const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::operator()

(

Rect

roi

)

const

template<typename T>

__host__ GpuMat_& cv::cudev::GpuMat_< T >::operator=

(

const GpuMat_< T > &

m

)

assignment operators

template<typename T>

template<class Body >

__host__ GpuMat_& cv::cudev::GpuMat_< T >::operator=

(

const Expr< Body > &

expr

)

template<typename T>

__host__ T* cv::cudev::GpuMat_< T >::operator[]

(

int

y

)

more convenient forms of row and element access operators

template<typename T>

__host__ const T* cv::cudev::GpuMat_< T >::operator[]

(

int

y

)

const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::row

(

int

y

)

const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::rowRange	(	int	startrow,
		int	endrow
	)		const

template<typename T>

__host__ GpuMat_ cv::cudev::GpuMat_< T >::rowRange

(

Range

r

)

const

template<typename T>

__host__ size_t cv::cudev::GpuMat_< T >::step1

(

)

const

template<typename T>

__host__ size_t cv::cudev::GpuMat_< T >::stepT

(

)

const

returns step()/sizeof(T)

template<typename T>

__host__ void cv::cudev::GpuMat_< T >::swap

(

GpuMat_< T > &

mat

)

swaps with other smart pointer

template<typename T>

__host__ int cv::cudev::GpuMat_< T >::type

(

)

const

template<typename T>

__host__ void cv::cudev::GpuMat_< T >::upload

(

InputArray

arr

)

pefroms upload data to GpuMat (Blocking call)

template<typename T>

__host__ void cv::cudev::GpuMat_< T >::upload	(	InputArray	arr,
		Stream &	stream
	)

pefroms upload data to GpuMat (Non-Blocking call)

---

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

• gpumat.hpp