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// Copyright (C) 2006 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#undef DLIB_MATRIx_MAT_ABSTRACT_Hh_
#ifdef DLIB_MATRIx_MAT_ABSTRACT_Hh_
#include "matrix_abstract.h"
#inclue <vector>
#include "../array/array_kernel_abstract.h"
#include "../array2d/array2d_kernel_abstract.h"
namespace dlib
{
// ----------------------------------------------------------------------------------------
template <
typename EXP
>
const matrix_exp<EXP>& mat (
const matrix_exp<EXP>& m
);
/*!
ensures
- returns m
(i.e. this function just returns the input matrix without any modifications)
!*/
// ----------------------------------------------------------------------------------------
template <
typename image_type
>
const matrix_exp mat (
const image_type& img
);
/*!
requires
- image_type == an image object that implements the interface defined in
dlib/image_processing/generic_image.h or image_type is a image_view or
const_image_view object.
ensures
- This function converts any kind of generic image object into a dlib::matrix
expression. Therefore, it is capable of converting objects like dlib::array2d
of dlib::cv_image.
- returns a matrix R such that:
- R.nr() == array.nr()
- R.nc() == array.nc()
- for all valid r and c:
R(r, c) == array[r][c]
!*/
// ----------------------------------------------------------------------------------------
template <
typename T,
typename MM
>
const matrix_exp mat (
const array<T,MM>& m
);
/*!
ensures
- returns a matrix R such that:
- is_col_vector(R) == true
- R.size() == m.size()
- for all valid r:
R(r) == m[r]
!*/
// ----------------------------------------------------------------------------------------
template <
typename value_type,
typename alloc
>
const matrix_exp mat (
const std::vector<value_type,alloc>& vector
);
/*!
ensures
- returns a matrix R such that:
- is_col_vector(R) == true
- R.size() == vector.size()
- for all valid r:
R(r) == vector[r]
!*/
// ----------------------------------------------------------------------------------------
template <
typename value_type,
typename alloc
>
const matrix_exp mat (
const std_vector_c<value_type,alloc>& vector
);
/*!
ensures
- returns a matrix R such that:
- is_col_vector(R) == true
- R.size() == vector.size()
- for all valid r:
R(r) == vector[r]
!*/
// ----------------------------------------------------------------------------------------
template <
typename T
>
const matrix_exp mat (
const T* ptr,
long nr
);
/*!
requires
- nr >= 0
- ptr == a pointer to at least nr T objects (or the NULL pointer if nr==0)
ensures
- returns a matrix M such that:
- M.nr() == nr
- m.nc() == 1
- for all valid i:
M(i) == ptr[i]
- Note that the returned matrix doesn't take "ownership" of
the pointer and thus will not delete or free it.
!*/
// ----------------------------------------------------------------------------------------
template <
typename T
>
const matrix_exp mat (
const T* ptr,
long nr,
long nc
);
/*!
requires
- nr >= 0
- nc >= 0
- ptr == a pointer to at least nr*nc T objects (or the NULL pointer if nr*nc==0)
ensures
- returns a matrix M such that:
- M.nr() == nr
- m.nc() == nc
- for all valid r and c:
M(r,c) == ptr[r*nc + c]
(i.e. the pointer is interpreted as a matrix laid out in memory
in row major order)
- Note that the returned matrix doesn't take "ownership" of
the pointer and thus will not delete or free it.
!*/
// ----------------------------------------------------------------------------------------
template <
typename T
>
const matrix_exp mat (
const T* ptr,
long nr,
long nc,
long stride
);
/*!
requires
- nr >= 0
- nc >= 0
- stride > 0
- ptr == a pointer to at least (nr-1)*stride+nc T objects (or the NULL pointer if nr*nc==0)
ensures
- returns a matrix M such that:
- M.nr() == nr
- m.nc() == nc
- for all valid r and c:
M(r,c) == ptr[r*stride + c]
(i.e. the pointer is interpreted as a matrix laid out in memory
in row major order, with a row stride of the given stride amount.)
- Note that the returned matrix doesn't take "ownership" of
the pointer and thus will not delete or free it.
!*/
// ----------------------------------------------------------------------------------------
template <
typename T
>
const matrix_exp mat (
const ::arma::Mat<T>& m
);
/*!
ensures
- Converts a matrix from the Armadillo library into a dlib matrix.
- returns a matrix R such that:
- R.nr() == m.n_rows
- R.nc() == m.n_cols
- for all valid r:
R(r,c) == m(r,c)
!*/
// ----------------------------------------------------------------------------------------
template <
typename _Scalar,
int _Rows,
int _Cols,
int _Options,
int _MaxRows,
int _MaxCols
>
const matrix_exp mat (
const ::Eigen::Matrix<_Scalar,_Rows,_Cols,_Options,_MaxRows,_MaxCols>& m
);
/*!
ensures
- Converts a matrix from the Eigen library into a dlib matrix.
- returns a matrix R such that:
- R.nr() == m.rows()
- R.nc() == m.cols()
- for all valid r:
R(r,c) == m(r,c)
!*/
// ----------------------------------------------------------------------------------------
matrix<double,1,1> mat (double value);
matrix<float,1,1> mat (float value);
matrix<long double,1,1> mat (long double value);
/*!
ensures
- Converts a scalar into a matrix containing just that scalar and returns the
results.
!*/
// ----------------------------------------------------------------------------------------
}
#endif // DLIB_MATRIx_MAT_ABSTRACT_Hh_
|
