OpenCV
Open Source Computer Vision
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Template class for small matrices whose type and size are known at compilation time. More...
#include "matx.hpp"
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 More... | |
Matx (_Tp v0) | |
1x1 matrix More... | |
Matx (_Tp v0, _Tp v1) | |
1x2 or 2x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2) | |
1x3 or 3x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3) | |
1x4, 2x2 or 4x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4) | |
1x5 or 5x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5) | |
1x6, 2x3, 3x2 or 6x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6) | |
1x7 or 7x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7) | |
1x8, 2x4, 4x2 or 8x1 matrix More... | |
Matx (_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8) | |
1x9, 3x3 or 9x1 matrix More... | |
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 More... | |
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 More... | |
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 More... | |
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 More... | |
Matx (const _Tp *vals) | |
initialize from a plain array More... | |
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_SubOp) | |
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_MulOp) | |
Matx (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b, Matx_DivOp) | |
template<int l> | |
Matx (const Matx< _Tp, m, l > &a, const Matx< _Tp, l, n > &b, Matx_MatMulOp) | |
Matx (const Matx< _Tp, n, m > &a, Matx_TOp) | |
Matx< _Tp, m, 1 > | col (int i) const |
extract the matrix column More... | |
double | ddot (const Matx< _Tp, m, n > &v) const |
dot product computed in double-precision arithmetics More... | |
diag_type | diag () const |
extract the matrix diagonal More... | |
Matx< _Tp, m, n > | div (const Matx< _Tp, m, n > &a) const |
divide two matrices element-wise More... | |
_Tp | dot (const Matx< _Tp, m, n > &v) const |
dot product computed with the default precision More... | |
template<int m1, int n1> | |
Matx< _Tp, m1, n1 > | get_minor (int i, int j) const |
extract part of the matrix More... | |
Matx< _Tp, n, m > | inv (int method=DECOMP_LU, bool *p_is_ok=NULL) const |
invert the matrix More... | |
Matx< _Tp, m, n > | mul (const Matx< _Tp, m, n > &a) const |
multiply two matrices element-wise More... | |
template<typename T2 > | |
operator Matx< T2, m, n > () const | |
conversion to another data type More... | |
const _Tp & | operator() (int i, int j) const |
element access More... | |
_Tp & | operator() (int i, int j) |
const _Tp & | operator() (int i) const |
1D element access More... | |
_Tp & | operator() (int i) |
template<int m1, int n1> | |
Matx< _Tp, m1, n1 > | reshape () const |
change the matrix shape More... | |
Matx< _Tp, 1, n > | row (int i) const |
extract the matrix row More... | |
template<int l> | |
Matx< _Tp, n, l > | solve (const Matx< _Tp, m, l > &rhs, int flags=DECOMP_LU) const |
solve linear system More... | |
Vec< _Tp, n > | solve (const Vec< _Tp, m > &rhs, int method) const |
Matx< _Tp, n, m > | t () const |
transpose the matrix More... | |
Static Public Member Functions | |
static Matx | all (_Tp alpha) |
static Matx | diag (const diag_type &d) |
static Matx | eye () |
static Matx | ones () |
static Matx | randn (_Tp a, _Tp b) |
static Matx | randu (_Tp a, _Tp b) |
static 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- (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) |
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:
Except of the plain constructor which takes a list of elements, Matx can be initialized from a C-array:
In case if C++11 features are avaliable, std::initializer_list can be also used to initizlize Matx:
typedef Matx<_Tp, shortdim, 1> cv::Matx< _Tp, m, n >::diag_type |
typedef _Tp cv::Matx< _Tp, m, n >::value_type |
1x2 or 2x1 matrix
1x3 or 3x1 matrix
1x4, 2x2 or 4x1 matrix
cv::Matx< _Tp, m, n >::Matx | ( | _Tp | v0, |
_Tp | v1, | ||
_Tp | v2, | ||
_Tp | v3, | ||
_Tp | v4 | ||
) |
1x5 or 5x1 matrix
cv::Matx< _Tp, m, n >::Matx | ( | _Tp | v0, |
_Tp | v1, | ||
_Tp | v2, | ||
_Tp | v3, | ||
_Tp | v4, | ||
_Tp | v5 | ||
) |
1x6, 2x3, 3x2 or 6x1 matrix
cv::Matx< _Tp, m, n >::Matx | ( | _Tp | v0, |
_Tp | v1, | ||
_Tp | v2, | ||
_Tp | v3, | ||
_Tp | v4, | ||
_Tp | v5, | ||
_Tp | v6 | ||
) |
1x7 or 7x1 matrix
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
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
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
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
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
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
initialize from a plain array
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, n > & | a, |
const Matx< _Tp, m, n > & | b, | ||
Matx_AddOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, n > & | a, |
const Matx< _Tp, m, n > & | b, | ||
Matx_SubOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, n > & | a, |
_T2 | alpha, | ||
Matx_ScaleOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, n > & | a, |
const Matx< _Tp, m, n > & | b, | ||
Matx_MulOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, n > & | a, |
const Matx< _Tp, m, n > & | b, | ||
Matx_DivOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, m, l > & | a, |
const Matx< _Tp, l, n > & | b, | ||
Matx_MatMulOp | |||
) |
cv::Matx< _Tp, m, n >::Matx | ( | const Matx< _Tp, n, m > & | a, |
Matx_TOp | |||
) |
extract the matrix column
double cv::Matx< _Tp, m, n >::ddot | ( | const Matx< _Tp, m, n > & | v | ) | const |
dot product computed in double-precision arithmetics
|
static |
extract the matrix diagonal
Matx<_Tp, m, n> cv::Matx< _Tp, m, n >::div | ( | const Matx< _Tp, m, n > & | a | ) | const |
divide two matrices element-wise
_Tp cv::Matx< _Tp, m, n >::dot | ( | const Matx< _Tp, m, n > & | v | ) | const |
dot product computed with the default precision
Matx<_Tp, m1, n1> cv::Matx< _Tp, m, n >::get_minor | ( | int | i, |
int | j | ||
) | const |
extract part of the matrix
Matx<_Tp, n, m> cv::Matx< _Tp, m, n >::inv | ( | int | method = DECOMP_LU , |
bool * | p_is_ok = NULL |
||
) | const |
invert the matrix
Matx<_Tp, m, n> cv::Matx< _Tp, m, n >::mul | ( | const Matx< _Tp, m, n > & | a | ) | const |
multiply two matrices element-wise
cv::Matx< _Tp, m, n >::operator Matx< T2, m, n > | ( | ) | const |
conversion to another data type
const _Tp& cv::Matx< _Tp, m, n >::operator() | ( | int | i, |
int | j | ||
) | const |
element access
_Tp& cv::Matx< _Tp, m, n >::operator() | ( | int | i, |
int | j | ||
) |
const _Tp& cv::Matx< _Tp, m, n >::operator() | ( | int | i | ) | const |
1D element access
_Tp& cv::Matx< _Tp, m, n >::operator() | ( | int | i | ) |
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Matx<_Tp, m1, n1> cv::Matx< _Tp, m, n >::reshape | ( | ) | const |
change the matrix shape
extract the matrix row
Matx<_Tp, n, l> cv::Matx< _Tp, m, n >::solve | ( | const Matx< _Tp, m, l > & | rhs, |
int | flags = DECOMP_LU |
||
) | const |
solve linear system
Vec<_Tp, n> cv::Matx< _Tp, m, n >::solve | ( | const Vec< _Tp, m > & | rhs, |
int | method | ||
) | const |
transpose the matrix
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_Tp cv::Matx< _Tp, m, n >::val[m *n] |