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Diffstat (limited to 'ml/dlib/dlib/matrix/matrix_mat_abstract.h')
| -rw-r--r-- | ml/dlib/dlib/matrix/matrix_mat_abstract.h | 243 |
1 files changed, 0 insertions, 243 deletions
diff --git a/ml/dlib/dlib/matrix/matrix_mat_abstract.h b/ml/dlib/dlib/matrix/matrix_mat_abstract.h deleted file mode 100644 index 7026f60a1..000000000 --- a/ml/dlib/dlib/matrix/matrix_mat_abstract.h +++ /dev/null @@ -1,243 +0,0 @@ -// 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_ - - |