OpenCV  4.9.0-dev
Open Source Computer Vision
Loading...
Searching...
No Matches
Public Types | Public Member Functions | Static Public Member Functions | Public Attributes | List of all members
cv::UMat Class Reference

#include <opencv2/core/mat.hpp>

Collaboration diagram for cv::UMat:

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

template<typename _Tp >
 UMat (const std::vector< _Tp > &vec, bool copyData=false)
 builds matrix from std::vector with or without copying the data
 
 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 Range *ranges)
 
 UMat (const UMat &m, const Rect &roi)
 
 UMat (const UMat &m, const std::vector< Range > &ranges)
 
 UMat (int ndims, const int *sizes, 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 rows, int cols, int type, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)
 constructs 2D matrix and fills it with the specified value _s.
 
 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, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)
 
 UMat (Size size, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
 
 UMat (UMat &&m)
 
 UMat (UMatUsageFlags usageFlags=USAGE_DEFAULT) CV_NOEXCEPT
 default constructor
 
 ~UMat ()
 destructor - calls release()
 
void addref ()
 increases the reference counter; use with care to avoid memleaks
 
UMatadjustROI (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
 
CV_NODISCARD_STD UMat clone () const
 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 (const Range &r) const
 
UMat colRange (int startcol, int endcol) const
 ... for the specified column span
 
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 (const std::vector< int > &sizes, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
 
void create (int ndims, const int *sizes, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
 
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 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() (const Range *ranges) const
 
UMat operator() (const Rect &roi) const
 
UMat operator() (const std::vector< Range > &ranges) const
 
UMat operator() (Range rowRange, Range colRange) const
 extracts a rectangular sub-matrix
 
UMatoperator= (const Scalar &s)
 sets every matrix element to s
 
UMatoperator= (const UMat &m)
 assignment operators
 
UMatoperator= (UMat &&m)
 
void release ()
 decreases reference counter;
 
UMat reshape (int cn, int newndims, const int *newsz) const
 
UMat reshape (int cn, int rows=0) const
 creates alternative matrix header for the same data, with different
 
UMat row (int y) const
 returns a new matrix header for the specified row
 
UMat rowRange (const Range &r) const
 
UMat rowRange (int startrow, int endrow) const
 ... for the specified row span
 
UMatsetTo (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 CV_NODISCARD_STD UMat diag (const UMat &d)
 
static CV_NODISCARD_STD UMat diag (const UMat &d, UMatUsageFlags usageFlags)
 constructs a square diagonal matrix which main diagonal is vector "d"
 
static CV_NODISCARD_STD UMat eye (int rows, int cols, int type)
 
static CV_NODISCARD_STD UMat eye (int rows, int cols, int type, UMatUsageFlags usageFlags)
 
static CV_NODISCARD_STD UMat eye (Size size, int type)
 
static CV_NODISCARD_STD UMat eye (Size size, int type, UMatUsageFlags usageFlags)
 
static MatAllocatorgetStdAllocator ()
 and the standard allocator
 
static CV_NODISCARD_STD UMat ones (int ndims, const int *sz, int type)
 
static CV_NODISCARD_STD UMat ones (int ndims, const int *sz, int type, UMatUsageFlags usageFlags)
 
static CV_NODISCARD_STD UMat ones (int rows, int cols, int type)
 
static CV_NODISCARD_STD UMat ones (int rows, int cols, int type, UMatUsageFlags usageFlags)
 
static CV_NODISCARD_STD UMat ones (Size size, int type)
 
static CV_NODISCARD_STD UMat ones (Size size, int type, UMatUsageFlags usageFlags)
 
static CV_NODISCARD_STD UMat zeros (int ndims, const int *sz, int type)
 
static CV_NODISCARD_STD UMat zeros (int ndims, const int *sz, int type, UMatUsageFlags usageFlags)
 
static CV_NODISCARD_STD UMat zeros (int rows, int cols, int type)
 
static CV_NODISCARD_STD UMat zeros (int rows, int cols, int type, UMatUsageFlags usageFlags)
 Matlab-style matrix initialization.
 
static CV_NODISCARD_STD UMat zeros (Size size, int type)
 
static CV_NODISCARD_STD UMat zeros (Size size, int type, UMatUsageFlags usageFlags)
 

Public Attributes

MatAllocatorallocator
 custom allocator
 
int cols
 number of columns in the matrix; -1 when the matrix has more than 2 dimensions
 
int dims
 the matrix dimensionality, >= 2
 
int flags
 
size_t offset
 offset of the submatrix (or 0)
 
int rows
 number of rows in the matrix; -1 when the matrix has more than 2 dimensions
 
MatSize size
 dimensional size of the matrix; accessible in various formats
 
MatStep step
 number of bytes each matrix element/row/plane/dimension occupies
 
UMatDatau
 black-box container of UMat data
 
UMatUsageFlags usageFlags
 usage flags for allocator; recommend do not set directly, instead set during construct/create/getUMat
 

Detailed Description

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

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
Enumerator
MAGIC_VAL 
AUTO_STEP 
CONTINUOUS_FLAG 
SUBMATRIX_FLAG 

◆ anonymous enum

anonymous enum
Enumerator
MAGIC_MASK 
TYPE_MASK 
DEPTH_MASK 

Constructor & Destructor Documentation

◆ UMat() [1/14]

cv::UMat::UMat ( UMatUsageFlags  usageFlags = USAGE_DEFAULT)
Python:
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) -> <UMat object>

default constructor

◆ UMat() [2/14]

cv::UMat::UMat ( int  rows,
int  cols,
int  type,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

constructs 2D matrix of the specified size and type

◆ UMat() [3/14]

cv::UMat::UMat ( Size  size,
int  type,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

◆ UMat() [4/14]

cv::UMat::UMat ( int  rows,
int  cols,
int  type,
const Scalar s,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

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

◆ UMat() [5/14]

cv::UMat::UMat ( Size  size,
int  type,
const Scalar s,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

◆ UMat() [6/14]

cv::UMat::UMat ( int  ndims,
const int *  sizes,
int  type,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

constructs n-dimensional matrix

◆ UMat() [7/14]

cv::UMat::UMat ( int  ndims,
const int *  sizes,
int  type,
const Scalar s,
UMatUsageFlags  usageFlags = USAGE_DEFAULT 
)
Python:
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) -> <UMat object>

◆ UMat() [8/14]

cv::UMat::UMat ( const UMat m)
Python:
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) -> <UMat object>

copy constructor

◆ UMat() [9/14]

cv::UMat::UMat ( const UMat m,
const Range rowRange,
const Range colRange = Range::all() 
)
Python:
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) -> <UMat object>

creates a matrix header for a part of the bigger matrix

◆ UMat() [10/14]

cv::UMat::UMat ( const UMat m,
const Rect roi 
)
Python:
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) -> <UMat object>

◆ UMat() [11/14]

cv::UMat::UMat ( const UMat m,
const Range ranges 
)
Python:
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) -> <UMat object>

◆ UMat() [12/14]

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

◆ UMat() [13/14]

template<typename _Tp >
cv::UMat::UMat ( const std::vector< _Tp > &  vec,
bool  copyData = false 
)
explicit
Python:
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) -> <UMat object>

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

◆ ~UMat()

cv::UMat::~UMat ( )

destructor - calls release()

◆ UMat() [14/14]

cv::UMat::UMat ( UMat &&  m)
Python:
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) -> <UMat object>

Member Function Documentation

◆ addref()

void cv::UMat::addref ( )

increases the reference counter; use with care to avoid memleaks

◆ adjustROI()

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

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

◆ assignTo()

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

◆ channels()

int cv::UMat::channels ( ) const

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

◆ checkVector()

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

◆ clone()

CV_NODISCARD_STD UMat cv::UMat::clone ( ) const

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

◆ col()

UMat cv::UMat::col ( int  x) const

returns a new matrix header for the specified column

◆ colRange() [1/2]

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

◆ colRange() [2/2]

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

... for the specified column span

◆ convertTo()

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.

◆ copySize()

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

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

◆ copyTo() [1/2]

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

copies the matrix content to "m".

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

◆ copyTo() [2/2]

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

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

◆ create() [1/4]

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

◆ create() [2/4]

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

◆ create() [3/4]

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.

◆ create() [4/4]

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

◆ deallocate()

void cv::UMat::deallocate ( )

deallocates the matrix data

◆ depth()

int cv::UMat::depth ( ) const

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

◆ diag() [1/3]

static CV_NODISCARD_STD UMat cv::UMat::diag ( const UMat d)
inlinestatic
Here is the call graph for this function:

◆ diag() [2/3]

static CV_NODISCARD_STD UMat cv::UMat::diag ( const UMat d,
UMatUsageFlags  usageFlags 
)
static

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

◆ diag() [3/3]

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)

◆ dot()

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

computes dot-product

◆ elemSize()

size_t cv::UMat::elemSize ( ) const

returns element size in bytes,

◆ elemSize1()

size_t cv::UMat::elemSize1 ( ) const

returns the size of element channel in bytes.

◆ empty()

bool cv::UMat::empty ( ) const

returns true if matrix data is NULL

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

◆ eye() [1/4]

static CV_NODISCARD_STD UMat cv::UMat::eye ( int  rows,
int  cols,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ eye() [2/4]

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

◆ eye() [3/4]

static CV_NODISCARD_STD UMat cv::UMat::eye ( Size  size,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ eye() [4/4]

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

◆ getMat()

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

◆ getStdAllocator()

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

and the standard allocator

◆ handle()

void * cv::UMat::handle ( AccessFlag  accessFlags) const
Python:
cv.UMat.handle(accessFlags) -> retval

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.

◆ inv()

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

matrix inversion by means of matrix expressions

◆ isContinuous()

bool cv::UMat::isContinuous ( ) const
Python:
cv.UMat.isContinuous() -> retval

returns true iff the matrix data is continuous

◆ isSubmatrix()

bool cv::UMat::isSubmatrix ( ) const
Python:
cv.UMat.isSubmatrix() -> retval

returns true if the matrix is a submatrix of another matrix

◆ locateROI()

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

locates matrix header within a parent matrix. See below

◆ mul()

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

per-element matrix multiplication by means of matrix expressions

◆ ndoffset()

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

◆ ones() [1/6]

static CV_NODISCARD_STD UMat cv::UMat::ones ( int  ndims,
const int *  sz,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ ones() [2/6]

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

◆ ones() [3/6]

static CV_NODISCARD_STD UMat cv::UMat::ones ( int  rows,
int  cols,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ ones() [4/6]

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

◆ ones() [5/6]

static CV_NODISCARD_STD UMat cv::UMat::ones ( Size  size,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ ones() [6/6]

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

◆ operator()() [1/4]

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

◆ operator()() [2/4]

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

◆ operator()() [3/4]

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

◆ operator()() [4/4]

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

extracts a rectangular sub-matrix

◆ operator=() [1/3]

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

sets every matrix element to s

◆ operator=() [2/3]

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

assignment operators

◆ operator=() [3/3]

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

◆ release()

void cv::UMat::release ( )

decreases reference counter;

◆ reshape() [1/2]

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

◆ reshape() [2/2]

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

creates alternative matrix header for the same data, with different

◆ row()

UMat cv::UMat::row ( int  y) const

returns a new matrix header for the specified row

◆ rowRange() [1/2]

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

◆ rowRange() [2/2]

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

... for the specified row span

◆ setTo()

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

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

◆ step1()

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

returns step/elemSize1()

◆ t()

UMat cv::UMat::t ( ) const

matrix transposition by means of matrix expressions

◆ total()

size_t cv::UMat::total ( ) const

returns the total number of matrix elements

◆ type()

int cv::UMat::type ( ) const

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

Examples
samples/tapi/squares.cpp.

◆ updateContinuityFlag()

void cv::UMat::updateContinuityFlag ( )

internal use method: updates the continuity flag

◆ zeros() [1/6]

static CV_NODISCARD_STD UMat cv::UMat::zeros ( int  ndims,
const int *  sz,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ zeros() [2/6]

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

◆ zeros() [3/6]

static CV_NODISCARD_STD UMat cv::UMat::zeros ( int  rows,
int  cols,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ zeros() [4/6]

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

Matlab-style matrix initialization.

◆ zeros() [5/6]

static CV_NODISCARD_STD UMat cv::UMat::zeros ( Size  size,
int  type 
)
inlinestatic
Here is the call graph for this function:

◆ zeros() [6/6]

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

Member Data Documentation

◆ allocator

MatAllocator* cv::UMat::allocator

custom allocator

◆ cols

int cv::UMat::cols

number of columns in the matrix; -1 when the matrix has more than 2 dimensions

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

◆ dims

int cv::UMat::dims

the matrix dimensionality, >= 2

◆ flags

int cv::UMat::flags

includes several bit-fields:

  • the magic signature
  • continuity flag
  • depth
  • number of channels

◆ offset

size_t cv::UMat::offset

offset of the submatrix (or 0)

◆ rows

int cv::UMat::rows

number of rows in the matrix; -1 when the matrix has more than 2 dimensions

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

◆ size

MatSize cv::UMat::size

dimensional size of the matrix; accessible in various formats

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

◆ step

MatStep cv::UMat::step

number of bytes each matrix element/row/plane/dimension occupies

◆ u

UMatData* cv::UMat::u

black-box container of UMat data

◆ usageFlags

UMatUsageFlags cv::UMat::usageFlags

usage flags for allocator; recommend do not set directly, instead set during construct/create/getUMat


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