mat.hpp File Reference

#include "opencv2/core/matx.hpp"
#include "opencv2/core/types.hpp"
#include "opencv2/core/bufferpool.hpp"
#include <array>
#include <type_traits>
#include "opencv2/core/mat.inl.hpp"

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Classes
class	cv::_InputArray
	This is the proxy class for passing read-only input arrays into OpenCV functions. More...
class	cv::_InputOutputArray
class	cv::_OutputArray
	This type is very similar to InputArray except that it is used for input/output and output function parameters. More...
struct	cv::SparseMat::Hdr
	the sparse matrix header More...
class	cv::Mat
	n-dimensional dense array class More...
class	cv::Mat_< _Tp >
	Template matrix class derived from Mat. More...
class	cv::MatAllocator
	Custom array allocator. More...
class	cv::MatCommaInitializer_< _Tp >
	Comma-separated Matrix Initializer. More...
class	cv::MatConstIterator
class	cv::MatConstIterator_< _Tp >
	Matrix read-only iterator. More...
class	cv::MatExpr
	Matrix expression representation This is a list of implemented matrix operations that can be combined in arbitrary complex expressions (here A, B stand for matrices ( cv::Mat ), s for a cv::Scalar, alpha for a real-valued scalar ( double )): More...
class	cv::MatIterator_< _Tp >
	Matrix read-write iterator. More...
class	cv::MatOp
struct	cv::MatShape
	Represents shape of a matrix/tensor. Previously, MatShape was defined as an alias of std::vector<int>, but now we use a special structure that provides a few extra benefits: More...
struct	cv::MatStep
class	cv::NAryMatIterator
	n-ary multi-dimensional array iterator. More...
struct	cv::SparseMat::Node
	sparse matrix node - element of a hash table More...
class	cv::SparseMat
	The class SparseMat represents multi-dimensional sparse numerical arrays. More...
class	cv::SparseMat_< _Tp >
	Template sparse n-dimensional array class derived from SparseMat. More...
class	cv::SparseMatConstIterator
	Read-Only Sparse Matrix Iterator. More...
class	cv::SparseMatConstIterator_< _Tp >
	Template Read-Only Sparse Matrix Iterator Class. More...
class	cv::SparseMatIterator
	Read-write Sparse Matrix Iterator. More...
class	cv::SparseMatIterator_< _Tp >
	Template Read-Write Sparse Matrix Iterator Class. More...
class	cv::UMat
struct	cv::UMatData

Namespaces
namespace	cv

Typedefs
typedef const _InputArray &	cv::InputArray
typedef InputArray	cv::InputArrayOfArrays
typedef const _InputOutputArray &	cv::InputOutputArray
typedef InputOutputArray	cv::InputOutputArrayOfArrays
typedef Mat_< uchar >	cv::Mat1b
typedef Mat_< double >	cv::Mat1d
typedef Mat_< float >	cv::Mat1f
typedef Mat_< int >	cv::Mat1i
typedef Mat_< short >	cv::Mat1s
typedef Mat_< ushort >	cv::Mat1w
typedef Mat_< Vec2b >	cv::Mat2b
typedef Mat_< Vec2d >	cv::Mat2d
typedef Mat_< Vec2f >	cv::Mat2f
typedef Mat_< Vec2i >	cv::Mat2i
typedef Mat_< Vec2s >	cv::Mat2s
typedef Mat_< Vec2w >	cv::Mat2w
typedef Mat_< Vec3b >	cv::Mat3b
typedef Mat_< Vec3d >	cv::Mat3d
typedef Mat_< Vec3f >	cv::Mat3f
typedef Mat_< Vec3i >	cv::Mat3i
typedef Mat_< Vec3s >	cv::Mat3s
typedef Mat_< Vec3w >	cv::Mat3w
typedef Mat_< Vec4b >	cv::Mat4b
typedef Mat_< Vec4d >	cv::Mat4d
typedef Mat_< Vec4f >	cv::Mat4f
typedef Mat_< Vec4i >	cv::Mat4i
typedef Mat_< Vec4s >	cv::Mat4s
typedef Mat_< Vec4w >	cv::Mat4w
typedef MatShape	cv::MatSize
typedef const _OutputArray &	cv::OutputArray
typedef OutputArray	cv::OutputArrayOfArrays

Enumerations
enum	cv::AccessFlag {   cv::ACCESS_READ =1<<24 ,   cv::ACCESS_WRITE =1<<25 ,   cv::ACCESS_RW =3<<24 ,   cv::ACCESS_MASK =ACCESS_RW ,   cv::ACCESS_FAST =1<<26 }
enum	cv::DataLayout {   cv::DATA_LAYOUT_UNKNOWN = 0 ,   cv::DATA_LAYOUT_ND = 1 ,   cv::DATA_LAYOUT_NCHW = 2 ,   cv::DATA_LAYOUT_NCDHW = 3 ,   cv::DATA_LAYOUT_NHWC = 4 ,   cv::DATA_LAYOUT_NDHWC = 5 ,   cv::DATA_LAYOUT_PLANAR = 6 ,   cv::DATA_LAYOUT_BLOCK = 7 ,   cv::DNN_LAYOUT_UNKNOWN = 0 ,   cv::DNN_LAYOUT_ND = 1 ,   cv::DNN_LAYOUT_NCHW = 2 ,   cv::DNN_LAYOUT_NCDHW = 3 ,   cv::DNN_LAYOUT_NHWC = 4 ,   cv::DNN_LAYOUT_NDHWC = 5 ,   cv::DNN_LAYOUT_PLANAR = 6 ,   cv::DNN_LAYOUT_BLOCK = 7 }
	Enum of data layout for model inference. More...
enum	cv::UMatUsageFlags {   cv::USAGE_DEFAULT = 0 ,   cv::USAGE_ALLOCATE_HOST_MEMORY = 1 << 0 ,   cv::USAGE_ALLOCATE_DEVICE_MEMORY = 1 << 1 ,   cv::USAGE_ALLOCATE_SHARED_MEMORY = 1 << 2 ,   cv::__UMAT_USAGE_FLAGS_32BIT = 0x7fffffff }
	Usage flags for allocator. More...

Functions
std::string	cv::layoutToString (DataLayout layout)
InputOutputArray	cv::noArray ()
	Returns an empty InputArray or OutputArray.
bool	cv::operator!= (const MatShape &shape1, const MatShape &shape2)
bool	cv::operator== (const MatShape &shape1, const MatShape &shape2)
template<typename _Tp >
static _InputArray	cv::rawIn (_Tp &v)
template<typename _Tp >
static _InputOutputArray	cv::rawInOut (_Tp &v)
template<typename _Tp >
static _OutputArray	cv::rawOut (_Tp &v)