#include <opencv2/core/mat.hpp>

Public Types
enum	{ MAGIC_VAL = 0x42FF0000, AUTO_STEP = 0, CONTINUOUS_FLAG = CV_MAT_CONT_FLAG, SUBMATRIX_FLAG = CV_SUBMAT_FLAG }

enum	{ MAGIC_MASK = 0xFFFF0000, TYPE_MASK = 0x00000FFF, DEPTH_MASK = 7 }

Public Member Functions
	UMat (UMatUsageFlags usageFlags=USAGE_DEFAULT)
	default constructor

	UMat (int rows, int cols, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	constructs 2D matrix of the specified size and type

	UMat (Size size, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)

	UMat (int rows, int cols, int type, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	constucts 2D matrix and fills it with the specified value _s.

	UMat (Size size, int type, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)

	UMat (int ndims, const int *sizes, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	constructs n-dimensional matrix

	UMat (int ndims, const int *sizes, int type, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)

	UMat (const UMat &m)
	copy constructor

	UMat (const UMat &m, const Range &rowRange, const Range &colRange=Range::all())
	creates a matrix header for a part of the bigger matrix

	UMat (const UMat &m, const Rect &roi)

	UMat (const UMat &m, const Range *ranges)

	UMat (const UMat &m, const std::vector< Range > &ranges)

template<typename _Tp >
	UMat (const std::vector< _Tp > &vec, bool copyData=false)
	builds matrix from std::vector with or without copying the data

template<typename _Tp , int n>
	UMat (const Vec< _Tp, n > &vec, bool copyData=true)
	builds matrix from cv::Vec; the data is copied by default

template<typename _Tp , int m, int n>
	UMat (const Matx< _Tp, m, n > &mtx, bool copyData=true)
	builds matrix from cv::Matx; the data is copied by default

template<typename _Tp >
	UMat (const Point_< _Tp > &pt, bool copyData=true)
	builds matrix from a 2D point

template<typename _Tp >
	UMat (const Point3_< _Tp > &pt, bool copyData=true)
	builds matrix from a 3D point

template<typename _Tp >
	UMat (const MatCommaInitializer_< _Tp > &commaInitializer)
	builds matrix from comma initializer

	UMat (UMat &&m)

	~UMat ()
	destructor - calls release()

void	addref ()
	increases the reference counter; use with care to avoid memleaks

UMat &	adjustROI (int dtop, int dbottom, int dleft, int dright)
	moves/resizes the current matrix ROI inside the parent matrix.

void	assignTo (UMat &m, int type=-1) const

int	channels () const
	returns element type, similar to CV_MAT_CN(cvmat->type)

int	checkVector (int elemChannels, int depth=-1, bool requireContinuous=true) const
	returns N if the matrix is 1-channel (N x ptdim) or ptdim-channel (1 x N) or (N x 1); negative number otherwise

UMat	clone () const CV_NODISCARD
	returns deep copy of the matrix, i.e. the data is copied

UMat	col (int x) const
	returns a new matrix header for the specified column

UMat	colRange (int startcol, int endcol) const
	... for the specified column span

UMat	colRange (const Range &r) const

void	convertTo (OutputArray m, int rtype, double alpha=1, double beta=0) const
	converts matrix to another datatype with optional scaling. See cvConvertScale.

void	copySize (const UMat &m)
	internal use function; properly re-allocates _size, _step arrays

void	copyTo (OutputArray m) const
	copies the matrix content to "m".

void	copyTo (OutputArray m, InputArray mask) const
	copies those matrix elements to "m" that are marked with non-zero mask elements.

void	create (int rows, int cols, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	allocates new matrix data unless the matrix already has specified size and type.

void	create (Size size, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)

void	create (int ndims, const int *sizes, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)

void	create (const std::vector< int > &sizes, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)

void	deallocate ()
	deallocates the matrix data

int	depth () const
	returns element type, similar to CV_MAT_DEPTH(cvmat->type)

UMat	diag (int d=0) const

double	dot (InputArray m) const
	computes dot-product

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 matrix data is NULL

Mat	getMat (AccessFlag flags) const

void *	handle (AccessFlag accessFlags) const

UMat	inv (int method=DECOMP_LU) const
	matrix inversion by means of matrix expressions

bool	isContinuous () const
	returns true iff the matrix data is continuous

bool	isSubmatrix () const
	returns true if the matrix is a submatrix of another matrix

void	locateROI (Size &wholeSize, Point &ofs) const
	locates matrix header within a parent matrix. See below

UMat	mul (InputArray m, double scale=1) const
	per-element matrix multiplication by means of matrix expressions

void	ndoffset (size_t *ofs) const

UMat	operator() (Range rowRange, Range colRange) const
	extracts a rectangular sub-matrix

UMat	operator() (const Rect &roi) const

UMat	operator() (const Range *ranges) const

UMat	operator() (const std::vector< Range > &ranges) const

UMat &	operator= (const UMat &m)
	assignment operators

UMat &	operator= (const Scalar &s)
	sets every matrix element to s

UMat &	operator= (UMat &&m)

void	release ()
	decreases reference counter;

UMat	reshape (int cn, int rows=0) const
	creates alternative matrix header for the same data, with different

UMat	reshape (int cn, int newndims, const int *newsz) const

UMat	row (int y) const
	returns a new matrix header for the specified row

UMat	rowRange (int startrow, int endrow) const
	... for the specified row span

UMat	rowRange (const Range &r) const

UMat &	setTo (InputArray value, InputArray mask=noArray())
	sets some of the matrix elements to s, according to the mask

size_t	step1 (int i=0) const
	returns step/elemSize1()

UMat	t () const
	matrix transposition by means of matrix expressions

size_t	total () const
	returns the total number of matrix elements

int	type () const
	returns element type, similar to CV_MAT_TYPE(cvmat->type)

void	updateContinuityFlag ()
	internal use method: updates the continuity flag

Static Public Member Functions
static UMat	diag (const UMat &d)
	constructs a square diagonal matrix which main diagonal is vector "d"

static UMat	eye (int rows, int cols, int type)

static UMat	eye (Size size, int type)

static MatAllocator *	getStdAllocator ()
	and the standard allocator

static UMat	ones (int rows, int cols, int type)

static UMat	ones (Size size, int type)

static UMat	ones (int ndims, const int *sz, int type)

static UMat	zeros (int rows, int cols, int type)
	Matlab-style matrix initialization.

static UMat	zeros (Size size, int type)

static UMat	zeros (int ndims, const int *sz, int type)

Public Attributes
MatAllocator *	allocator
	custom allocator

int	cols

int	dims
	the matrix dimensionality, >= 2

int	flags

size_t	offset

int	rows
	the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

MatSize	size

MatStep	step

UMatData *	u

UMatUsageFlags	usageFlags

Detailed Description

Todo:: document

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

Member Enumeration Documentation

anonymous enum

Enumerator
MAGIC_VAL
AUTO_STEP
CONTINUOUS_FLAG
SUBMATRIX_FLAG

anonymous enum

Enumerator
MAGIC_MASK
TYPE_MASK
DEPTH_MASK

Constructor & Destructor Documentation

cv::UMat::UMat ( UMatUsageFlags usageFlags = USAGE_DEFAULT )


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

default constructor

cv::UMat::UMat	(	int	rows,
		int	cols,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

constructs 2D matrix of the specified size and type

cv::UMat::UMat	(	Size	size,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

cv::UMat::UMat	(	int	rows,
		int	cols,
		int	type,
		const Scalar &	s,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

constucts 2D matrix and fills it with the specified value _s.

cv::UMat::UMat	(	Size	size,
		int	type,
		const Scalar &	s,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

cv::UMat::UMat	(	int	ndims,
		const int *	sizes,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

constructs n-dimensional matrix

cv::UMat::UMat	(	int	ndims,
		const int *	sizes,
		int	type,
		const Scalar &	s,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

cv::UMat::UMat ( const UMat & m )


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

copy constructor

cv::UMat::UMat	(	const UMat &	m,
		const Range &	rowRange,
		const Range &	colRange = `Range::all()`
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

creates a matrix header for a part of the bigger matrix

cv::UMat::UMat	(	const UMat &	m,
		const Rect &	roi
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

cv::UMat::UMat	(	const UMat &	m,
		const Range *	ranges
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

cv::UMat::UMat	(	const UMat &	m,
		const std::vector< Range > &	ranges
	)


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

template<typename _Tp >

cv::UMat::UMat	(	const std::vector< _Tp > &	vec,
		bool	copyData = `false`
	)

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from std::vector with or without copying the data

template<typename _Tp , int n>

cv::UMat::UMat	(	const Vec< _Tp, n > &	vec,
		bool	copyData = `true`
	)

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from cv::Vec; the data is copied by default

template<typename _Tp , int m, int n>

cv::UMat::UMat	(	const Matx< _Tp, m, n > &	mtx,
		bool	copyData = `true`
	)

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from cv::Matx; the data is copied by default

template<typename _Tp >

cv::UMat::UMat	(	const Point_< _Tp > &	pt,
		bool	copyData = `true`
	)

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from a 2D point

template<typename _Tp >

cv::UMat::UMat	(	const Point3_< _Tp > &	pt,
		bool	copyData = `true`
	)

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from a 3D point

template<typename _Tp >

cv::UMat::UMat ( const MatCommaInitializer_< _Tp > & commaInitializer )

explicit


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

builds matrix from comma initializer

cv::UMat::~UMat ( )

destructor - calls release()

cv::UMat::UMat ( UMat && m )


<UMat object>	=	cv.UMat(	[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type[, usageFlags]	)
<UMat object>	=	cv.UMat(	rows, cols, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	size, type, s[, usageFlags]	)
<UMat object>	=	cv.UMat(	m	)
<UMat object>	=	cv.UMat(	m, rowRange[, colRange]	)
<UMat object>	=	cv.UMat(	m, roi	)
<UMat object>	=	cv.UMat(	m, ranges	)

Member Function Documentation

void cv::UMat::addref ( )

increases the reference counter; use with care to avoid memleaks

UMat& cv::UMat::adjustROI	(	int	dtop,
		int	dbottom,
		int	dleft,
		int	dright
	)

moves/resizes the current matrix ROI inside the parent matrix.

void cv::UMat::assignTo	(	UMat &	m,
		int	type = `-1`
	)		const

int cv::UMat::channels ( ) const

returns element type, similar to CV_MAT_CN(cvmat->type)

int cv::UMat::checkVector	(	int	elemChannels,
		int	depth = `-1`,
		bool	requireContinuous = `true`
	)		const

returns N if the matrix is 1-channel (N x ptdim) or ptdim-channel (1 x N) or (N x 1); negative number otherwise

UMat cv::UMat::clone ( ) const

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

UMat cv::UMat::col ( int x ) const

returns a new matrix header for the specified column

UMat cv::UMat::colRange	(	int	startcol,
		int	endcol
	)		const

... for the specified column span

UMat cv::UMat::colRange ( const Range & r ) const

void cv::UMat::convertTo	(	OutputArray	m,
		int	rtype,
		double	alpha = `1`,
		double	beta = `0`
	)		const

converts matrix to another datatype with optional scaling. See cvConvertScale.

void cv::UMat::copySize ( const UMat & m )

internal use function; properly re-allocates _size, _step arrays

void cv::UMat::copyTo ( OutputArray m ) const

copies the matrix content to "m".

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

void cv::UMat::copyTo	(	OutputArray	m,
		InputArray	mask
	)		const

copies those matrix elements to "m" that are marked with non-zero mask elements.

void cv::UMat::create	(	int	rows,
		int	cols,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)

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

void cv::UMat::create	(	Size	size,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)

void cv::UMat::create	(	int	ndims,
		const int *	sizes,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)

void cv::UMat::create	(	const std::vector< int > &	sizes,
		int	type,
		UMatUsageFlags	usageFlags = `USAGE_DEFAULT`
	)

void cv::UMat::deallocate ( )

deallocates the matrix data

int cv::UMat::depth ( ) const

returns element type, similar to CV_MAT_DEPTH(cvmat->type)

UMat cv::UMat::diag ( int d = 0 ) const

... for the specified diagonal (d=0 - the main diagonal, >0 - a diagonal from the upper half, <0 - a diagonal from the lower half)

static UMat cv::UMat::diag ( const UMat & d )

static

constructs a square diagonal matrix which main diagonal is vector "d"

double cv::UMat::dot ( InputArray m ) const

computes dot-product

size_t cv::UMat::elemSize ( ) const

returns element size in bytes,

size_t cv::UMat::elemSize1 ( ) const

returns the size of element channel in bytes.

bool cv::UMat::empty ( ) const

returns true if matrix data is NULL

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

static UMat cv::UMat::eye	(	int	rows,
		int	cols,
		int	type
	)

static

static UMat cv::UMat::eye	(	Size	size,
		int	type
	)

static

Mat cv::UMat::getMat ( AccessFlag flags ) const

Examples:: samples/tapi/squares.cpp.

static MatAllocator* cv::UMat::getStdAllocator ( )

static

and the standard allocator

void* cv::UMat::handle ( AccessFlag accessFlags ) const

Python:
	retval	=	cv.UMat.handle(	accessFlags	)

Returns the OpenCL buffer handle on which UMat operates on. The UMat instance should be kept alive during the use of the handle to prevent the buffer to be returned to the OpenCV buffer pool.

UMat cv::UMat::inv ( int method = DECOMP_LU ) const

matrix inversion by means of matrix expressions

bool cv::UMat::isContinuous ( ) const

Python:
	retval	=	cv.UMat.isContinuous(		)

returns true iff the matrix data is continuous

bool cv::UMat::isSubmatrix ( ) const

Python:
	retval	=	cv.UMat.isSubmatrix(		)

returns true if the matrix is a submatrix of another matrix

void cv::UMat::locateROI	(	Size &	wholeSize,
		Point &	ofs
	)		const

locates matrix header within a parent matrix. See below

UMat cv::UMat::mul	(	InputArray	m,
		double	scale = `1`
	)		const

per-element matrix multiplication by means of matrix expressions

void cv::UMat::ndoffset ( size_t * ofs ) const

static UMat cv::UMat::ones	(	int	rows,
		int	cols,
		int	type
	)

static

static UMat cv::UMat::ones	(	Size	size,
		int	type
	)

static

static UMat cv::UMat::ones	(	int	ndims,
		const int *	sz,
		int	type
	)

static

UMat cv::UMat::operator()	(	Range	rowRange,
		Range	colRange
	)		const

extracts a rectangular sub-matrix

UMat cv::UMat::operator() ( const Rect & roi ) const

UMat cv::UMat::operator() ( const Range * ranges ) const

UMat cv::UMat::operator() ( const std::vector< Range > & ranges ) const

UMat& cv::UMat::operator= ( const UMat & m )

assignment operators

UMat& cv::UMat::operator= ( const Scalar & s )

sets every matrix element to s

UMat& cv::UMat::operator= ( UMat && m )

void cv::UMat::release ( )

decreases reference counter;

UMat cv::UMat::reshape	(	int	cn,
		int	rows = `0`
	)		const

creates alternative matrix header for the same data, with different

UMat cv::UMat::reshape	(	int	cn,
		int	newndims,
		const int *	newsz
	)		const

UMat cv::UMat::row ( int y ) const

returns a new matrix header for the specified row

UMat cv::UMat::rowRange	(	int	startrow,
		int	endrow
	)		const

... for the specified row span

UMat cv::UMat::rowRange ( const Range & r ) const

UMat& cv::UMat::setTo	(	InputArray	value,
		InputArray	mask = `noArray()`
	)

sets some of the matrix elements to s, according to the mask

size_t cv::UMat::step1 ( int i = 0 ) const

returns step/elemSize1()

UMat cv::UMat::t ( ) const

matrix transposition by means of matrix expressions

size_t cv::UMat::total ( ) const

returns the total number of matrix elements

int cv::UMat::type ( ) const

returns element type, similar to CV_MAT_TYPE(cvmat->type)

Examples:: samples/tapi/squares.cpp.

void cv::UMat::updateContinuityFlag ( )

internal use method: updates the continuity flag

static UMat cv::UMat::zeros	(	int	rows,
		int	cols,
		int	type
	)

static

Matlab-style matrix initialization.

static UMat cv::UMat::zeros	(	Size	size,
		int	type
	)

static

static UMat cv::UMat::zeros	(	int	ndims,
		const int *	sz,
		int	type
	)

static

Member Data Documentation

MatAllocator* cv::UMat::allocator

custom allocator

int cv::UMat::cols

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

int cv::UMat::dims

the matrix dimensionality, >= 2

int cv::UMat::flags

includes several bit-fields:

the magic signature
continuity flag
depth
number of channels

size_t cv::UMat::offset

int cv::UMat::rows

the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

MatSize cv::UMat::size

Examples:: samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

MatStep cv::UMat::step

UMatData* cv::UMat::u

UMatUsageFlags cv::UMat::usageFlags

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

core/include/opencv2/core/mat.hpp

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Detailed Description

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation