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Public Types | Public Member Functions | Static Public Member Functions | Public Attributes | List of all members
cv::Matx< _Tp, m, n > Class Template Reference
Core functionality » Basic structures

Template class for small matrices whose type and size are known at compilation time. More...

#include <opencv2/core/matx.hpp>

Inheritance diagram for cv::Matx< _Tp, m, n >:
cv::Vec< double, 4 > cv::Vec< float, 3 > cv::Vec< float, 2 > cv::Vec< double, nFeatures > cv::Vec< double, GPCPatchDescriptor::nFeatures > cv::Vec< double, 3 > cv::Vec< double, 2 >

Public Types

enum  {
  rows = m ,
  cols = n ,
  channels = rows*cols ,
  shortdim = (m < n ? m : n)
}
 
typedef Matx< _Tp, shortdim, 1 > diag_type
 
typedef Matx< _Tp, m, n > mat_type
 
typedef _Tp value_type
 

Public Member Functions

 Matx ()
 default constructor
 
 Matx (_Tp v0)
 1x1 matrix
 
 Matx (_Tp v0, _Tp v1)
 1x2 or 2x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2)
 1x3 or 3x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3)
 1x4, 2x2 or 4x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4)
 1x5 or 5x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5)
 1x6, 2x3, 3x2 or 6x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6)
 1x7 or 7x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7)
 1x8, 2x4, 4x2 or 8x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8)
 1x9, 3x3 or 9x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9)
 1x10, 2x5 or 5x2 or 10x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9, _Tp v10, _Tp v11)
 1x12, 2x6, 3x4, 4x3, 6x2 or 12x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9, _Tp v10, _Tp v11, _Tp v12, _Tp v13)
 1x14, 2x7, 7x2 or 14x1 matrix
 
 Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9, _Tp v10, _Tp v11, _Tp v12, _Tp v13, _Tp v14, _Tp v15)
 1x16, 4x4 or 16x1 matrix
 
 Matx (const _Tp *vals)
 initialize from a plain array
 
template<int l>
 Matx (const Matx< _Tp, m, l > &a, const Matx< _Tp, l, n > &b, Matx_MatMulOp)
 
template<typename _T2 >
 Matx (const Matx< _Tp, m, n > &a, _T2 alpha, Matx_ScaleOp)
 
 Matx (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b, Matx_AddOp)
 
 Matx (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b, Matx_DivOp)
 
 Matx (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b, Matx_MulOp)
 
 Matx (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b, Matx_SubOp)
 
 Matx (const Matx< _Tp, n, m > &a, Matx_TOp)
 
 Matx (std::initializer_list< _Tp >)
 initialize from an initializer list
 
Matx< _Tp, m, 1 > col (int i) const
 extract the matrix column
 
double ddot (const Matx< _Tp, m, n > &v) const
 dot product computed in double-precision arithmetics
 
diag_type diag () const
 extract the matrix diagonal
 
Matx< _Tp, m, n > div (const Matx< _Tp, m, n > &a) const
 divide two matrices element-wise
 
_Tp dot (const Matx< _Tp, m, n > &v) const
 dot product computed with the default precision
 
template<int m1, int n1>
Matx< _Tp, m1, n1 > get_minor (int base_row, int base_col) const
 extract part of the matrix
 
Matx< _Tp, n, m > inv (int method=DECOMP_LU, bool *p_is_ok=NULL) const
 invert the matrix
 
Matx< _Tp, m, n > mul (const Matx< _Tp, m, n > &a) const
 multiply two matrices element-wise
 
template<typename T2 >
 operator Matx< T2, m, n > () const
 conversion to another data type
 
_Tp & operator() (int i)
 
const _Tp & operator() (int i) const
 1D element access
 
_Tp & operator() (int row, int col)
 
const _Tp & operator() (int row, int col) const
 element access
 
template<int m1, int n1>
Matx< _Tp, m1, n1 > reshape () const
 change the matrix shape
 
Matx< _Tp, 1, n > row (int i) const
 extract the matrix row
 
template<int l>
Matx< _Tp, n, l > solve (const Matx< _Tp, m, l > &rhs, int flags=DECOMP_LU) const
 solve linear system
 
Vec< _Tp, n > solve (const Vec< _Tp, m > &rhs, int method) const
 
Matx< _Tp, n, m > t () const
 transpose the matrix
 

Static Public Member Functions

static CV_NODISCARD_STD Matx all (_Tp alpha)
 
static CV_NODISCARD_STD Matx diag (const diag_type &d)
 
static CV_NODISCARD_STD Matx eye ()
 
static CV_NODISCARD_STD Matx ones ()
 
static CV_NODISCARD_STD Matx randn (_Tp a, _Tp b)
 Generates normally distributed random numbers.
 
static CV_NODISCARD_STD Matx randu (_Tp a, _Tp b)
 Generates uniformly distributed random numbers.
 
static CV_NODISCARD_STD Matx zeros ()
 

Public Attributes

_Tp val [m *n]
 

Related Functions

(Note that these are not member functions.)

template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > & operator+= (Matx< _Tp1, m, n > &a, const Matx< _Tp2, m, n > &b)
 
template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > & operator-= (Matx< _Tp1, m, n > &a, const Matx< _Tp2, m, n > &b)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator+ (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator- (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= (Matx< _Tp, m, n > &a, int alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= (Matx< _Tp, m, n > &a, float alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= (Matx< _Tp, m, n > &a, double alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (const Matx< _Tp, m, n > &a, int alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (const Matx< _Tp, m, n > &a, float alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (const Matx< _Tp, m, n > &a, double alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (int alpha, const Matx< _Tp, m, n > &a)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (float alpha, const Matx< _Tp, m, n > &a)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* (double alpha, const Matx< _Tp, m, n > &a)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator/= (Matx< _Tp, m, n > &a, float alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator/= (Matx< _Tp, m, n > &a, double alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator/ (const Matx< _Tp, m, n > &a, float alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator/ (const Matx< _Tp, m, n > &a, double alpha)
 
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator- (const Matx< _Tp, m, n > &a)
 
template<typename _Tp , int m, int n, int l>
static Matx< _Tp, m, n > operator* (const Matx< _Tp, m, l > &a, const Matx< _Tp, l, n > &b)
 
template<typename _Tp , int m, int n>
static Vec< _Tp, m > operator* (const Matx< _Tp, m, n > &a, const Vec< _Tp, n > &b)
 
template<typename _Tp , int m, int n>
static bool operator== (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
 
template<typename _Tp , int m, int n>
static bool operator!= (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
 

Detailed Description

template<typename _Tp, int m, int n>
class cv::Matx< _Tp, m, n >

Template class for small matrices whose type and size are known at compilation time.

If you need a more flexible type, use Mat . The elements of the matrix M are accessible using the M(i,j) notation. Most of the common matrix operations (see also MatrixExpressions ) are available. To do an operation on Matx that is not implemented, you can easily convert the matrix to Mat and backwards:

Matx33f m(1, 2, 3,
4, 5, 6,
7, 8, 9);
cout << sum(Mat(m*m.t())) << endl;
cv::Mat
n-dimensional dense array class
Definition: mat.hpp:811
cv::sum
Scalar sum(InputArray src)
Calculates the sum of array elements.

Except of the plain constructor which takes a list of elements, Matx can be initialized from a C-array:

float values[] = { 1, 2, 3};
Matx31f m(values);

In case if C++11 features are available, std::initializer_list can be also used to initialize Matx:

Matx31f m = { 1, 2, 3};

Member Typedef Documentation

◆ diag_type

template<typename _Tp , int m, int n>
typedef Matx<_Tp, shortdim, 1> cv::Matx< _Tp, m, n >::diag_type

◆ mat_type

template<typename _Tp , int m, int n>
typedef Matx<_Tp, m, n> cv::Matx< _Tp, m, n >::mat_type

◆ value_type

template<typename _Tp , int m, int n>
typedef _Tp cv::Matx< _Tp, m, n >::value_type

Member Enumeration Documentation

◆ anonymous enum

template<typename _Tp , int m, int n>
anonymous enum
Enumerator
rows 
cols 
channels 
shortdim 

Constructor & Destructor Documentation

◆ Matx() [1/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( )

default constructor

◆ Matx() [2/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0)
explicit

1x1 matrix

◆ Matx() [3/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1 
)

1x2 or 2x1 matrix

◆ Matx() [4/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2 
)

1x3 or 3x1 matrix

◆ Matx() [5/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3 
)

1x4, 2x2 or 4x1 matrix

◆ Matx() [6/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4 
)

1x5 or 5x1 matrix

◆ Matx() [7/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5 
)

1x6, 2x3, 3x2 or 6x1 matrix

◆ Matx() [8/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6 
)

1x7 or 7x1 matrix

◆ Matx() [9/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7 
)

1x8, 2x4, 4x2 or 8x1 matrix

◆ Matx() [10/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7,
_Tp  v8 
)

1x9, 3x3 or 9x1 matrix

◆ Matx() [11/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7,
_Tp  v8,
_Tp  v9 
)

1x10, 2x5 or 5x2 or 10x1 matrix

◆ Matx() [12/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7,
_Tp  v8,
_Tp  v9,
_Tp  v10,
_Tp  v11 
)

1x12, 2x6, 3x4, 4x3, 6x2 or 12x1 matrix

◆ Matx() [13/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7,
_Tp  v8,
_Tp  v9,
_Tp  v10,
_Tp  v11,
_Tp  v12,
_Tp  v13 
)

1x14, 2x7, 7x2 or 14x1 matrix

◆ Matx() [14/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( _Tp  v0,
_Tp  v1,
_Tp  v2,
_Tp  v3,
_Tp  v4,
_Tp  v5,
_Tp  v6,
_Tp  v7,
_Tp  v8,
_Tp  v9,
_Tp  v10,
_Tp  v11,
_Tp  v12,
_Tp  v13,
_Tp  v14,
_Tp  v15 
)

1x16, 4x4 or 16x1 matrix

◆ Matx() [15/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const _Tp *  vals)
explicit

initialize from a plain array

◆ Matx() [16/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( std::initializer_list< _Tp >  )

initialize from an initializer list

◆ Matx() [17/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b,
Matx_AddOp   
)

◆ Matx() [18/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b,
Matx_SubOp   
)

◆ Matx() [19/23]

template<typename _Tp , int m, int n>
template<typename _T2 >
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, n > &  a,
_T2  alpha,
Matx_ScaleOp   
)

◆ Matx() [20/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b,
Matx_MulOp   
)

◆ Matx() [21/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b,
Matx_DivOp   
)

◆ Matx() [22/23]

template<typename _Tp , int m, int n>
template<int l>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, m, l > &  a,
const Matx< _Tp, l, n > &  b,
Matx_MatMulOp   
)

◆ Matx() [23/23]

template<typename _Tp , int m, int n>
cv::Matx< _Tp, m, n >::Matx ( const Matx< _Tp, n, m > &  a,
Matx_TOp   
)

Member Function Documentation

◆ all()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::all ( _Tp  alpha)
static

◆ col()

template<typename _Tp , int m, int n>
Matx< _Tp, m, 1 > cv::Matx< _Tp, m, n >::col ( int  i) const

extract the matrix column

◆ ddot()

template<typename _Tp , int m, int n>
double cv::Matx< _Tp, m, n >::ddot ( const Matx< _Tp, m, n > &  v) const

dot product computed in double-precision arithmetics

◆ diag() [1/2]

template<typename _Tp , int m, int n>
diag_type cv::Matx< _Tp, m, n >::diag ( ) const

extract the matrix diagonal

◆ diag() [2/2]

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::diag ( const diag_type &  d)
static

◆ div()

template<typename _Tp , int m, int n>
Matx< _Tp, m, n > cv::Matx< _Tp, m, n >::div ( const Matx< _Tp, m, n > &  a) const

divide two matrices element-wise

◆ dot()

template<typename _Tp , int m, int n>
_Tp cv::Matx< _Tp, m, n >::dot ( const Matx< _Tp, m, n > &  v) const

dot product computed with the default precision

◆ eye()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::eye ( )
static

◆ get_minor()

template<typename _Tp , int m, int n>
template<int m1, int n1>
Matx< _Tp, m1, n1 > cv::Matx< _Tp, m, n >::get_minor ( int  base_row,
int  base_col 
) const

extract part of the matrix

◆ inv()

template<typename _Tp , int m, int n>
Matx< _Tp, n, m > cv::Matx< _Tp, m, n >::inv ( int  method = DECOMP_LU,
bool *  p_is_ok = NULL 
) const

invert the matrix

◆ mul()

template<typename _Tp , int m, int n>
Matx< _Tp, m, n > cv::Matx< _Tp, m, n >::mul ( const Matx< _Tp, m, n > &  a) const

multiply two matrices element-wise

◆ ones()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::ones ( )
static

◆ operator Matx< T2, m, n >()

template<typename _Tp , int m, int n>
template<typename T2 >
cv::Matx< _Tp, m, n >::operator Matx< T2, m, n > ( ) const

conversion to another data type

◆ operator()() [1/4]

template<typename _Tp , int m, int n>
_Tp & cv::Matx< _Tp, m, n >::operator() ( int  i)

◆ operator()() [2/4]

template<typename _Tp , int m, int n>
const _Tp & cv::Matx< _Tp, m, n >::operator() ( int  i) const

1D element access

◆ operator()() [3/4]

template<typename _Tp , int m, int n>
_Tp & cv::Matx< _Tp, m, n >::operator() ( int  row,
int  col 
)

◆ operator()() [4/4]

template<typename _Tp , int m, int n>
const _Tp & cv::Matx< _Tp, m, n >::operator() ( int  row,
int  col 
) const

element access

◆ randn()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::randn ( _Tp  a,
_Tp  b 
)
static

Generates normally distributed random numbers.

Parameters
aMean value.
bStandard deviation.

◆ randu()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::randu ( _Tp  a,
_Tp  b 
)
static

Generates uniformly distributed random numbers.

Parameters
aRange boundary.
bThe other range boundary (boundaries don't have to be ordered, the lower boundary is inclusive, the upper one is exclusive).

◆ reshape()

template<typename _Tp , int m, int n>
template<int m1, int n1>
Matx< _Tp, m1, n1 > cv::Matx< _Tp, m, n >::reshape ( ) const

change the matrix shape

◆ row()

template<typename _Tp , int m, int n>
Matx< _Tp, 1, n > cv::Matx< _Tp, m, n >::row ( int  i) const

extract the matrix row

◆ solve() [1/2]

template<typename _Tp , int m, int n>
template<int l>
Matx< _Tp, n, l > cv::Matx< _Tp, m, n >::solve ( const Matx< _Tp, m, l > &  rhs,
int  flags = DECOMP_LU 
) const

solve linear system

◆ solve() [2/2]

template<typename _Tp , int m, int n>
Vec< _Tp, n > cv::Matx< _Tp, m, n >::solve ( const Vec< _Tp, m > &  rhs,
int  method 
) const

◆ t()

template<typename _Tp , int m, int n>
Matx< _Tp, n, m > cv::Matx< _Tp, m, n >::t ( ) const

transpose the matrix

◆ zeros()

template<typename _Tp , int m, int n>
static CV_NODISCARD_STD Matx cv::Matx< _Tp, m, n >::zeros ( )
static

Friends And Related Function Documentation

◆ operator!=()

template<typename _Tp , int m, int n>
static bool operator!= ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b 
)
related

◆ operator*() [1/8]

template<typename _Tp , int m, int n, int l>
static Matx< _Tp, m, n > operator* ( const Matx< _Tp, m, l > &  a,
const Matx< _Tp, l, n > &  b 
)
related

◆ operator*() [2/8]

template<typename _Tp , int m, int n>
static Vec< _Tp, m > operator* ( const Matx< _Tp, m, n > &  a,
const Vec< _Tp, n > &  b 
)
related

◆ operator*() [3/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( const Matx< _Tp, m, n > &  a,
double  alpha 
)
related

◆ operator*() [4/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( const Matx< _Tp, m, n > &  a,
float  alpha 
)
related

◆ operator*() [5/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( const Matx< _Tp, m, n > &  a,
int  alpha 
)
related

◆ operator*() [6/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( double  alpha,
const Matx< _Tp, m, n > &  a 
)
related

◆ operator*() [7/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( float  alpha,
const Matx< _Tp, m, n > &  a 
)
related

◆ operator*() [8/8]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator* ( int  alpha,
const Matx< _Tp, m, n > &  a 
)
related

◆ operator*=() [1/3]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= ( Matx< _Tp, m, n > &  a,
double  alpha 
)
related

◆ operator*=() [2/3]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= ( Matx< _Tp, m, n > &  a,
float  alpha 
)
related

◆ operator*=() [3/3]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator*= ( Matx< _Tp, m, n > &  a,
int  alpha 
)
related

◆ operator+()

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator+ ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b 
)
related

◆ operator+=()

template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > & operator+= ( Matx< _Tp1, m, n > &  a,
const Matx< _Tp2, m, n > &  b 
)
related

◆ operator-() [1/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator- ( const Matx< _Tp, m, n > &  a)
related

◆ operator-() [2/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator- ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b 
)
related

◆ operator-=()

template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > & operator-= ( Matx< _Tp1, m, n > &  a,
const Matx< _Tp2, m, n > &  b 
)
related

◆ operator/() [1/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator/ ( const Matx< _Tp, m, n > &  a,
double  alpha 
)
related

◆ operator/() [2/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > operator/ ( const Matx< _Tp, m, n > &  a,
float  alpha 
)
related

◆ operator/=() [1/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator/= ( Matx< _Tp, m, n > &  a,
double  alpha 
)
related

◆ operator/=() [2/2]

template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > & operator/= ( Matx< _Tp, m, n > &  a,
float  alpha 
)
related

◆ operator==()

template<typename _Tp , int m, int n>
static bool operator== ( const Matx< _Tp, m, n > &  a,
const Matx< _Tp, m, n > &  b 
)
related

Member Data Documentation

◆ val

template<typename _Tp , int m, int n>
_Tp cv::Matx< _Tp, m, n >::val[m *n]
The documentation for this class was generated from the following file:
Generated on Wed Oct 18 2023 11:53:52 for OpenCV by   doxygen 1.9.6