#include <opencv2/core/mat.hpp>

cv::UMat 的协作图

公共类型
枚举	{ MAGIC_VAL = 0x42FF0000 , AUTO_STEP = 0 , CONTINUOUS_FLAG = CV_MAT_CONT_FLAG , SUBMATRIX_FLAG = CV_SUBMAT_FLAG }

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

公共成员函数
template<typename _Tp >
	UMat (const std::vector< _Tp > &vec, bool copyData=false)

	UMat (const UMat &m)
	拷贝构造函数

	UMat (const UMat &m, const Range &rowRange, const Range &colRange=Range::all())
	为较大矩阵的一部分创建矩阵头

	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)
	构造 N 维矩阵

	UMat (int rows, int cols, int type, const Scalar &s, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	构造 2D 矩阵并用指定值 _s 填充。

	UMat (int rows, int cols, int type, UMatUsageFlags usageFlags=USAGE_DEFAULT)
	构造指定大小和类型的 2D 矩阵

	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
	默认构造函数

	~UMat ()
	析构函数 - 调用 release()

void	addref ()
	增加引用计数；请谨慎使用以避免内存泄漏

UMat &	adjustROI (int dtop, int dbottom, int dleft, int dright)
	在父矩阵中移动/调整当前矩阵的 ROI 大小。

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

int	channels () const
	返回元素类型，类似于 CV_MAT_CN(cvmat->type)

int	checkVector (int elemChannels, int depth=-1, bool requireContinuous=true) const
	如果矩阵是 1 通道 (N x ptdim) 或 ptdim 通道 (1 x N) 或 (N x 1)，则返回 N；否则返回负数

CV_NODISCARD_STD UMat	clone () const
	返回矩阵的深拷贝，即数据被复制

UMat	col (int x) const
	为指定列返回新的矩阵头

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
	将矩阵转换为另一种数据类型，可选择缩放。参见 cvConvertScale。

void	copySize (const UMat &m)
	内部使用的函数；正确地重新分配 _size, _step 数组

void	copyTo (OutputArray m) const
	将矩阵内容复制到“m”。

void	copyTo (OutputArray m, InputArray mask) const
	将非零掩码元素标记的矩阵元素复制到“m”。

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)
	分配新的矩阵数据，除非矩阵已具有指定的大小和类型。

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

void	deallocate ()
	释放矩阵数据

int	depth () const
	返回元素类型，类似于 CV_MAT_DEPTH(cvmat->type)

UMat	diag (int d=0) const

double	dot (InputArray m) const
	计算点积

size_t	elemSize () const
	返回元素大小（字节）

size_t	elemSize1 () const
	返回元素通道的字节大小。

bool	empty () const
	如果矩阵数据为 NULL，则返回 true

Mat	getMat (AccessFlag flags) const

void *	handle (AccessFlag accessFlags) const

UMat	inv (int method=DECOMP_LU) const
	通过矩阵表达式进行矩阵求逆

bool	isContinuous () const
	当且仅当矩阵数据是连续的时返回 true

bool	isSubmatrix () const
	如果矩阵是另一个矩阵的子矩阵，则返回 true

void	locateROI (Size &wholeSize, Point &ofs) const
	在父矩阵中定位矩阵头。参见下文

UMat	mul (InputArray m, double scale=1) const
	通过矩阵表达式进行逐元素矩阵乘法

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
	提取一个矩形子矩阵

UMat &	operator= (const Scalar &s)
	将每个矩阵元素设置为 s

UMat &	operator= (const UMat &m)
	赋值运算符

UMat &	operator= (UMat &&m)

void	release ()
	减少引用计数；

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

UMat	reshape (int cn, int rows=0) const
	为相同数据创建替代矩阵头，具有不同的

UMat	row (int y) const
	为指定行返回新的矩阵头

UMat	rowRange (const Range &r) const

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

UMat &	setTo (InputArray value, InputArray mask=noArray())
	根据掩码将部分矩阵元素设置为 s

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

UMat	t () const
	通过矩阵表达式进行矩阵转置

size_t	total () const
	返回矩阵元素总数

int	type () const
	返回元素类型，类似于 CV_MAT_TYPE(cvmat->type)

void	updateContinuityFlag ()
	内部使用方法：更新连续性标志

静态公共成员函数
static CV_NODISCARD_STD UMat	diag (const UMat &d)

static CV_NODISCARD_STD UMat	diag (const UMat &d, UMatUsageFlags usageFlags)
	构造一个主对角线为向量“d”的方对角矩阵

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 MatAllocator *	getStdAllocator ()
	和标准分配器

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 风格的矩阵初始化。

static CV_NODISCARD_STD UMat	zeros (Size size, int type)

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

公共属性
MatAllocator *	分配器
	自定义分配器

int	cols
	矩阵中的列数；当矩阵维度超过 2 时为 -1

int	dims
	矩阵维度，>= 2

int	flags

size_t	offset
	子矩阵的偏移量（或 0）

int	rows
	矩阵中的行数；当矩阵维度超过 2 时为 -1

MatSize	size
	矩阵的维度大小；可通过各种格式访问

MatStep	step
	每个矩阵元素/行/平面/维度占用的字节数

UMatData *	u
	UMat 数据的黑盒容器

UMatUsageFlags	usageFlags
	分配器的使用标志；建议不要直接设置，而是在构造/创建/getUMat 期间设置

详细描述

待办: document

示例: samples/tapi/hog.cpp.

成员枚举文档

◆ 匿名枚举

匿名枚举

枚举器
MAGIC_VAL
AUTO_STEP
CONTINUOUS_FLAG
SUBMATRIX_FLAG

◆ 匿名枚举

匿名枚举

枚举器
MAGIC_MASK
TYPE_MASK
DEPTH_MASK

构造函数 & 析构函数文档

◆ UMat() [1/14]

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


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>

默认构造函数

◆ UMat() [2/14]

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


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>

构造指定大小和类型的 2D 矩阵

◆ UMat() [3/14]

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


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 )


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>

构造 2D 矩阵并用指定值 _s 填充。

◆ UMat() [5/14]

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


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 )


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>

构造 N 维矩阵

◆ UMat() [7/14]

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


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 )


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>

拷贝构造函数

◆ UMat() [9/14]

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


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>

为较大矩阵的一部分创建矩阵头

◆ UMat() [10/14]

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


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 )


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 )


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 )

显式


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>

从 std::vector 构建矩阵。数据总是被复制。copyData 参数已被弃用，并将在 OpenCV 5.0 中移除。

◆ ~UMat()

cv::UMat::~UMat ( )

析构函数 - 调用 release()

◆ UMat() [14/14]

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


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>

成员函数文档

◆ addref()

void cv::UMat::addref ( )

增加引用计数；请谨慎使用以避免内存泄漏

◆ adjustROI()

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

在父矩阵中移动/调整当前矩阵的 ROI 大小。

◆ assignTo()

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

◆ channels()

int cv::UMat::channels ( ) const

返回元素类型，类似于 CV_MAT_CN(cvmat->type)

◆ checkVector()

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

如果矩阵是 1 通道 (N x ptdim) 或 ptdim 通道 (1 x N) 或 (N x 1)，则返回 N；否则返回负数

◆ clone()

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

返回矩阵的深拷贝，即数据被复制

◆ col()

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

为指定列返回新的矩阵头

◆ 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

将矩阵转换为另一种数据类型，可选择缩放。参见 cvConvertScale。

◆ copySize()

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

内部使用的函数；正确地重新分配 _size, _step 数组

◆ copyTo() [1/2]

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

将矩阵内容复制到“m”。

示例: samples/tapi/hog.cpp.

◆ copyTo() [2/2]

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

将非零掩码元素标记的矩阵元素复制到“m”。

◆ 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 )

分配新的矩阵数据，除非矩阵已具有指定的大小和类型。

◆ create() [4/4]

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

◆ deallocate()

void cv::UMat::deallocate ( )

释放矩阵数据

◆ depth()

int cv::UMat::depth ( ) const

返回元素类型，类似于 CV_MAT_DEPTH(cvmat->type)

◆ diag() [1/3]

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

inlinestatic

此函数的调用图如下

◆ diag() [2/3]

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

static

构造一个主对角线为向量“d”的方对角矩阵

◆ diag() [3/3]

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

... 对于指定的对角线（d=0 - 主对角线，>0 - 上半部分对角线，<0 - 下半部分对角线）

◆ dot()

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

计算点积

◆ elemSize()

size_t cv::UMat::elemSize ( ) const

返回元素大小（字节）

◆ elemSize1()

size_t cv::UMat::elemSize1 ( ) const

返回元素通道的字节大小。

◆ empty()

bool cv::UMat::empty ( ) const

如果矩阵数据为 NULL，则返回 true

示例: samples/tapi/hog.cpp.

◆ eye() [1/4]

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

inlinestatic

此函数的调用图如下

◆ 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

此函数的调用图如下

◆ 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

和标准分配器

◆ handle()

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

Python
	cv.UMat.handle(	accessFlags	) ->	retval

返回 UMat 操作的 OpenCL 缓冲区句柄。在使用句柄期间，UMat 实例应保持活动状态，以防止缓冲区返回到 OpenCV 缓冲区池。

◆ inv()

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

通过矩阵表达式进行矩阵求逆

◆ isContinuous()

bool cv::UMat::isContinuous ( ) const

Python
	cv.UMat.isContinuous(		) ->	retval

当且仅当矩阵数据是连续的时返回 true

◆ isSubmatrix()

bool cv::UMat::isSubmatrix ( ) const

Python
	cv.UMat.isSubmatrix(		) ->	retval

如果矩阵是另一个矩阵的子矩阵，则返回 true

◆ locateROI()

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

在父矩阵中定位矩阵头。参见下文

◆ mul()

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

通过矩阵表达式进行逐元素矩阵乘法

◆ 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

此函数的调用图如下

◆ 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

此函数的调用图如下

◆ 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

此函数的调用图如下

◆ 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

提取一个矩形子矩阵

◆ operator=() [1/3]

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

将每个矩阵元素设置为 s

◆ operator=() [2/3]

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

赋值运算符

◆ operator=() [3/3]

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

◆ release()

void cv::UMat::release ( )

减少引用计数；

◆ 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

为相同数据创建替代矩阵头，具有不同的

◆ row()

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

为指定行返回新的矩阵头

◆ 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	值,
		InputArray	mask = noArray() )

根据掩码将部分矩阵元素设置为 s

◆ step1()

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

返回 step/elemSize1()

◆ t()

UMat cv::UMat::t ( ) const

通过矩阵表达式进行矩阵转置

◆ total()

size_t cv::UMat::total ( ) const

返回矩阵元素总数

◆ type()

int cv::UMat::type ( ) const

返回元素类型，类似于 CV_MAT_TYPE(cvmat->type)

◆ updateContinuityFlag()

void cv::UMat::updateContinuityFlag ( )

内部使用方法：更新连续性标志

◆ zeros() [1/6]

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

inlinestatic

此函数的调用图如下

◆ 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

此函数的调用图如下

◆ zeros() [4/6]

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

static

Matlab 风格的矩阵初始化。

◆ zeros() [5/6]

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

inlinestatic

此函数的调用图如下

◆ zeros() [6/6]

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

static

成员数据文档

◆ allocator

MatAllocator* cv::UMat::allocator

自定义分配器

◆ cols

int cv::UMat::cols

矩阵中的列数；当矩阵维度超过 2 时为 -1

示例: samples/tapi/hog.cpp.

◆ dims

int cv::UMat::dims

矩阵维度，>= 2

◆ flags

int cv::UMat::flags

包含多个位字段

魔术签名
连续性标志
深度
通道数

◆ offset

size_t cv::UMat::offset

子矩阵的偏移量（或 0）

◆ rows

int cv::UMat::rows

矩阵中的行数；当矩阵维度超过 2 时为 -1

示例: samples/tapi/hog.cpp.

◆ size

MatSize cv::UMat::size

矩阵的维度大小；可通过各种格式访问

示例: samples/tapi/hog.cpp.

◆ step

MatStep cv::UMat::step

每个矩阵元素/行/平面/维度占用的字节数

◆ u

UMatData* cv::UMat::u

UMat 数据的黑盒容器

◆ usageFlags

UMatUsageFlags cv::UMat::usageFlags

分配器的使用标志；建议不要直接设置，而是在构造/创建/getUMat 期间设置

此类的文档由以下文件生成

opencv2/core/mat.hpp

公共类型

公共成员函数

静态公共成员函数

公共属性

详细描述

成员枚举文档

◆ 匿名枚举

◆ 匿名枚举

构造函数 & 析构函数文档

◆ UMat() [1/14]

◆ UMat() [2/14]

◆ UMat() [3/14]

◆ UMat() [4/14]

◆ UMat() [5/14]

◆ UMat() [6/14]

◆ UMat() [7/14]

◆ UMat() [8/14]

◆ UMat() [9/14]

◆ UMat() [10/14]

◆ UMat() [11/14]

◆ UMat() [12/14]

◆ UMat() [13/14]

◆ ~UMat()

◆ UMat() [14/14]

成员函数文档

◆ addref()

◆ adjustROI()

◆ assignTo()

◆ channels()

◆ checkVector()

◆ clone()

◆ col()

◆ colRange() [1/2]

◆ colRange() [2/2]

◆ convertTo()

◆ copySize()

◆ copyTo() [1/2]

◆ copyTo() [2/2]

◆ create() [1/4]

◆ create() [2/4]

◆ create() [3/4]

◆ create() [4/4]

◆ deallocate()

◆ depth()

◆ diag() [1/3]

◆ diag() [2/3]

◆ diag() [3/3]

◆ dot()

◆ elemSize()

◆ elemSize1()

◆ empty()

◆ eye() [1/4]

◆ eye() [2/4]

◆ eye() [3/4]

◆ eye() [4/4]

◆ getMat()

◆ getStdAllocator()

◆ handle()

◆ inv()

◆ isContinuous()

◆ isSubmatrix()

◆ locateROI()

◆ mul()

◆ ndoffset()

◆ ones() [1/6]

◆ ones() [2/6]

◆ ones() [3/6]

◆ ones() [4/6]

◆ ones() [5/6]

◆ ones() [6/6]

◆ operator()() [1/4]

◆ operator()() [2/4]

◆ operator()() [3/4]

◆ operator()() [4/4]

◆ operator=() [1/3]

◆ operator=() [2/3]

◆ operator=() [3/3]

◆ release()

◆ reshape() [1/2]

◆ reshape() [2/2]