OpenCV
4.10.0-dev
Open Source Computer Vision
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Template class for small matrices whose type and size are known at compilation time. More...
#include <opencv2/core/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 | |
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] |
matrix elements | |
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 available, std::initializer_list can be also used to initialize Matx:
anonymous enum |
1x2 or 2x1 matrix
1x3 or 3x1 matrix
cv::Matx< _Tp, m, n >::Matx | ( | _Tp | v0, |
_Tp | v1, | ||
_Tp | v2, | ||
_Tp | v3 ) |
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
initialize from an initializer list
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 | ) |
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static |
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
extract the matrix diagonal
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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
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Matx< _Tp, m1, n1 > cv::Matx< _Tp, m, n >::get_minor | ( | int | base_row, |
int | base_col ) 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
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cv::Matx< _Tp, m, n >::operator Matx< T2, m, n > | ( | ) | const |
conversion to another data type
1D element access
const _Tp & cv::Matx< _Tp, m, n >::operator() | ( | int | row, |
int | col ) const |
element access
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Generates normally distributed random numbers.
a | Mean value. |
b | Standard deviation. |
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static |
Generates uniformly distributed random numbers.
a | Range boundary. |
b | The other range boundary (boundaries don't have to be ordered, the lower boundary is inclusive, the upper one is exclusive). |
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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static |