Renesas / opencv-lib

openCV library for Renesas RZ/A

Dependents:   RZ_A2M_Mbed_samples

include/opencv2/core/eigen.hpp@0:0e0631af0305, 2021-01-29 (annotated)

Committer:
RyoheiHagimoto
Date:
Fri Jan 29 04:53:38 2021 +0000
Revision:
0:0e0631af0305
copied from https://github.com/d-kato/opencv-lib.

Who changed what in which revision?

UserRevisionLine numberNew contents of line
RyoheiHagimoto 0:0e0631af0305 1 /*M///////////////////////////////////////////////////////////////////////////////////////
RyoheiHagimoto 0:0e0631af0305 2 //
RyoheiHagimoto 0:0e0631af0305 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
RyoheiHagimoto 0:0e0631af0305 4 //
RyoheiHagimoto 0:0e0631af0305 5 // By downloading, copying, installing or using the software you agree to this license.
RyoheiHagimoto 0:0e0631af0305 6 // If you do not agree to this license, do not download, install,
RyoheiHagimoto 0:0e0631af0305 7 // copy or use the software.
RyoheiHagimoto 0:0e0631af0305 8 //
RyoheiHagimoto 0:0e0631af0305 9 //
RyoheiHagimoto 0:0e0631af0305 10 // License Agreement
RyoheiHagimoto 0:0e0631af0305 11 // For Open Source Computer Vision Library
RyoheiHagimoto 0:0e0631af0305 12 //
RyoheiHagimoto 0:0e0631af0305 13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
RyoheiHagimoto 0:0e0631af0305 14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
RyoheiHagimoto 0:0e0631af0305 15 // Copyright (C) 2013, OpenCV Foundation, all rights reserved.
RyoheiHagimoto 0:0e0631af0305 16 // Third party copyrights are property of their respective owners.
RyoheiHagimoto 0:0e0631af0305 17 //
RyoheiHagimoto 0:0e0631af0305 18 // Redistribution and use in source and binary forms, with or without modification,
RyoheiHagimoto 0:0e0631af0305 19 // are permitted provided that the following conditions are met:
RyoheiHagimoto 0:0e0631af0305 20 //
RyoheiHagimoto 0:0e0631af0305 21 // * Redistribution's of source code must retain the above copyright notice,
RyoheiHagimoto 0:0e0631af0305 22 // this list of conditions and the following disclaimer.
RyoheiHagimoto 0:0e0631af0305 23 //
RyoheiHagimoto 0:0e0631af0305 24 // * Redistribution's in binary form must reproduce the above copyright notice,
RyoheiHagimoto 0:0e0631af0305 25 // this list of conditions and the following disclaimer in the documentation
RyoheiHagimoto 0:0e0631af0305 26 // and/or other materials provided with the distribution.
RyoheiHagimoto 0:0e0631af0305 27 //
RyoheiHagimoto 0:0e0631af0305 28 // * The name of the copyright holders may not be used to endorse or promote products
RyoheiHagimoto 0:0e0631af0305 29 // derived from this software without specific prior written permission.
RyoheiHagimoto 0:0e0631af0305 30 //
RyoheiHagimoto 0:0e0631af0305 31 // This software is provided by the copyright holders and contributors "as is" and
RyoheiHagimoto 0:0e0631af0305 32 // any express or implied warranties, including, but not limited to, the implied
RyoheiHagimoto 0:0e0631af0305 33 // warranties of merchantability and fitness for a particular purpose are disclaimed.
RyoheiHagimoto 0:0e0631af0305 34 // In no event shall the Intel Corporation or contributors be liable for any direct,
RyoheiHagimoto 0:0e0631af0305 35 // indirect, incidental, special, exemplary, or consequential damages
RyoheiHagimoto 0:0e0631af0305 36 // (including, but not limited to, procurement of substitute goods or services;
RyoheiHagimoto 0:0e0631af0305 37 // loss of use, data, or profits; or business interruption) however caused
RyoheiHagimoto 0:0e0631af0305 38 // and on any theory of liability, whether in contract, strict liability,
RyoheiHagimoto 0:0e0631af0305 39 // or tort (including negligence or otherwise) arising in any way out of
RyoheiHagimoto 0:0e0631af0305 40 // the use of this software, even if advised of the possibility of such damage.
RyoheiHagimoto 0:0e0631af0305 41 //
RyoheiHagimoto 0:0e0631af0305 42 //M*/
RyoheiHagimoto 0:0e0631af0305 43
RyoheiHagimoto 0:0e0631af0305 44
RyoheiHagimoto 0:0e0631af0305 45 #ifndef OPENCV_CORE_EIGEN_HPP
RyoheiHagimoto 0:0e0631af0305 46 #define OPENCV_CORE_EIGEN_HPP
RyoheiHagimoto 0:0e0631af0305 47
RyoheiHagimoto 0:0e0631af0305 48 #include "opencv2/core.hpp"
RyoheiHagimoto 0:0e0631af0305 49
RyoheiHagimoto 0:0e0631af0305 50 #if defined _MSC_VER && _MSC_VER >= 1200
RyoheiHagimoto 0:0e0631af0305 51 #pragma warning( disable: 4714 ) //__forceinline is not inlined
RyoheiHagimoto 0:0e0631af0305 52 #pragma warning( disable: 4127 ) //conditional expression is constant
RyoheiHagimoto 0:0e0631af0305 53 #pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data
RyoheiHagimoto 0:0e0631af0305 54 #endif
RyoheiHagimoto 0:0e0631af0305 55
RyoheiHagimoto 0:0e0631af0305 56 namespace cv
RyoheiHagimoto 0:0e0631af0305 57 {
RyoheiHagimoto 0:0e0631af0305 58
RyoheiHagimoto 0:0e0631af0305 59 //! @addtogroup core_eigen
RyoheiHagimoto 0:0e0631af0305 60 //! @{
RyoheiHagimoto 0:0e0631af0305 61
RyoheiHagimoto 0:0e0631af0305 62 template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
RyoheiHagimoto 0:0e0631af0305 63 void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src, Mat& dst )
RyoheiHagimoto 0:0e0631af0305 64 {
RyoheiHagimoto 0:0e0631af0305 65 if( !(src.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 66 {
RyoheiHagimoto 0:0e0631af0305 67 Mat _src(src.cols(), src.rows(), DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 68 (void*)src.data(), src.stride()*sizeof(_Tp));
RyoheiHagimoto 0:0e0631af0305 69 transpose(_src, dst);
RyoheiHagimoto 0:0e0631af0305 70 }
RyoheiHagimoto 0:0e0631af0305 71 else
RyoheiHagimoto 0:0e0631af0305 72 {
RyoheiHagimoto 0:0e0631af0305 73 Mat _src(src.rows(), src.cols(), DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 74 (void*)src.data(), src.stride()*sizeof(_Tp));
RyoheiHagimoto 0:0e0631af0305 75 _src.copyTo(dst);
RyoheiHagimoto 0:0e0631af0305 76 }
RyoheiHagimoto 0:0e0631af0305 77 }
RyoheiHagimoto 0:0e0631af0305 78
RyoheiHagimoto 0:0e0631af0305 79 // Matx case
RyoheiHagimoto 0:0e0631af0305 80 template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
RyoheiHagimoto 0:0e0631af0305 81 void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src,
RyoheiHagimoto 0:0e0631af0305 82 Matx<_Tp, _rows, _cols>& dst )
RyoheiHagimoto 0:0e0631af0305 83 {
RyoheiHagimoto 0:0e0631af0305 84 if( !(src.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 85 {
RyoheiHagimoto 0:0e0631af0305 86 dst = Matx<_Tp, _cols, _rows>(static_cast<const _Tp*>(src.data())).t();
RyoheiHagimoto 0:0e0631af0305 87 }
RyoheiHagimoto 0:0e0631af0305 88 else
RyoheiHagimoto 0:0e0631af0305 89 {
RyoheiHagimoto 0:0e0631af0305 90 dst = Matx<_Tp, _rows, _cols>(static_cast<const _Tp*>(src.data()));
RyoheiHagimoto 0:0e0631af0305 91 }
RyoheiHagimoto 0:0e0631af0305 92 }
RyoheiHagimoto 0:0e0631af0305 93
RyoheiHagimoto 0:0e0631af0305 94 template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
RyoheiHagimoto 0:0e0631af0305 95 void cv2eigen( const Mat& src,
RyoheiHagimoto 0:0e0631af0305 96 Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
RyoheiHagimoto 0:0e0631af0305 97 {
RyoheiHagimoto 0:0e0631af0305 98 CV_DbgAssert(src.rows == _rows && src.cols == _cols);
RyoheiHagimoto 0:0e0631af0305 99 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 100 {
RyoheiHagimoto 0:0e0631af0305 101 const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 102 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 103 if( src.type() == _dst.type() )
RyoheiHagimoto 0:0e0631af0305 104 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 105 else if( src.cols == src.rows )
RyoheiHagimoto 0:0e0631af0305 106 {
RyoheiHagimoto 0:0e0631af0305 107 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 108 transpose(_dst, _dst);
RyoheiHagimoto 0:0e0631af0305 109 }
RyoheiHagimoto 0:0e0631af0305 110 else
RyoheiHagimoto 0:0e0631af0305 111 Mat(src.t()).convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 112 }
RyoheiHagimoto 0:0e0631af0305 113 else
RyoheiHagimoto 0:0e0631af0305 114 {
RyoheiHagimoto 0:0e0631af0305 115 const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 116 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 117 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 118 }
RyoheiHagimoto 0:0e0631af0305 119 }
RyoheiHagimoto 0:0e0631af0305 120
RyoheiHagimoto 0:0e0631af0305 121 // Matx case
RyoheiHagimoto 0:0e0631af0305 122 template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
RyoheiHagimoto 0:0e0631af0305 123 void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
RyoheiHagimoto 0:0e0631af0305 124 Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
RyoheiHagimoto 0:0e0631af0305 125 {
RyoheiHagimoto 0:0e0631af0305 126 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 127 {
RyoheiHagimoto 0:0e0631af0305 128 const Mat _dst(_cols, _rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 129 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 130 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 131 }
RyoheiHagimoto 0:0e0631af0305 132 else
RyoheiHagimoto 0:0e0631af0305 133 {
RyoheiHagimoto 0:0e0631af0305 134 const Mat _dst(_rows, _cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 135 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 136 Mat(src).copyTo(_dst);
RyoheiHagimoto 0:0e0631af0305 137 }
RyoheiHagimoto 0:0e0631af0305 138 }
RyoheiHagimoto 0:0e0631af0305 139
RyoheiHagimoto 0:0e0631af0305 140 template<typename _Tp> static inline
RyoheiHagimoto 0:0e0631af0305 141 void cv2eigen( const Mat& src,
RyoheiHagimoto 0:0e0631af0305 142 Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
RyoheiHagimoto 0:0e0631af0305 143 {
RyoheiHagimoto 0:0e0631af0305 144 dst.resize(src.rows, src.cols);
RyoheiHagimoto 0:0e0631af0305 145 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 146 {
RyoheiHagimoto 0:0e0631af0305 147 const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 148 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 149 if( src.type() == _dst.type() )
RyoheiHagimoto 0:0e0631af0305 150 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 151 else if( src.cols == src.rows )
RyoheiHagimoto 0:0e0631af0305 152 {
RyoheiHagimoto 0:0e0631af0305 153 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 154 transpose(_dst, _dst);
RyoheiHagimoto 0:0e0631af0305 155 }
RyoheiHagimoto 0:0e0631af0305 156 else
RyoheiHagimoto 0:0e0631af0305 157 Mat(src.t()).convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 158 }
RyoheiHagimoto 0:0e0631af0305 159 else
RyoheiHagimoto 0:0e0631af0305 160 {
RyoheiHagimoto 0:0e0631af0305 161 const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 162 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 163 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 164 }
RyoheiHagimoto 0:0e0631af0305 165 }
RyoheiHagimoto 0:0e0631af0305 166
RyoheiHagimoto 0:0e0631af0305 167 // Matx case
RyoheiHagimoto 0:0e0631af0305 168 template<typename _Tp, int _rows, int _cols> static inline
RyoheiHagimoto 0:0e0631af0305 169 void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
RyoheiHagimoto 0:0e0631af0305 170 Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
RyoheiHagimoto 0:0e0631af0305 171 {
RyoheiHagimoto 0:0e0631af0305 172 dst.resize(_rows, _cols);
RyoheiHagimoto 0:0e0631af0305 173 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 174 {
RyoheiHagimoto 0:0e0631af0305 175 const Mat _dst(_cols, _rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 176 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 177 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 178 }
RyoheiHagimoto 0:0e0631af0305 179 else
RyoheiHagimoto 0:0e0631af0305 180 {
RyoheiHagimoto 0:0e0631af0305 181 const Mat _dst(_rows, _cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 182 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 183 Mat(src).copyTo(_dst);
RyoheiHagimoto 0:0e0631af0305 184 }
RyoheiHagimoto 0:0e0631af0305 185 }
RyoheiHagimoto 0:0e0631af0305 186
RyoheiHagimoto 0:0e0631af0305 187 template<typename _Tp> static inline
RyoheiHagimoto 0:0e0631af0305 188 void cv2eigen( const Mat& src,
RyoheiHagimoto 0:0e0631af0305 189 Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
RyoheiHagimoto 0:0e0631af0305 190 {
RyoheiHagimoto 0:0e0631af0305 191 CV_Assert(src.cols == 1);
RyoheiHagimoto 0:0e0631af0305 192 dst.resize(src.rows);
RyoheiHagimoto 0:0e0631af0305 193
RyoheiHagimoto 0:0e0631af0305 194 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 195 {
RyoheiHagimoto 0:0e0631af0305 196 const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 197 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 198 if( src.type() == _dst.type() )
RyoheiHagimoto 0:0e0631af0305 199 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 200 else
RyoheiHagimoto 0:0e0631af0305 201 Mat(src.t()).convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 202 }
RyoheiHagimoto 0:0e0631af0305 203 else
RyoheiHagimoto 0:0e0631af0305 204 {
RyoheiHagimoto 0:0e0631af0305 205 const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 206 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 207 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 208 }
RyoheiHagimoto 0:0e0631af0305 209 }
RyoheiHagimoto 0:0e0631af0305 210
RyoheiHagimoto 0:0e0631af0305 211 // Matx case
RyoheiHagimoto 0:0e0631af0305 212 template<typename _Tp, int _rows> static inline
RyoheiHagimoto 0:0e0631af0305 213 void cv2eigen( const Matx<_Tp, _rows, 1>& src,
RyoheiHagimoto 0:0e0631af0305 214 Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
RyoheiHagimoto 0:0e0631af0305 215 {
RyoheiHagimoto 0:0e0631af0305 216 dst.resize(_rows);
RyoheiHagimoto 0:0e0631af0305 217
RyoheiHagimoto 0:0e0631af0305 218 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 219 {
RyoheiHagimoto 0:0e0631af0305 220 const Mat _dst(1, _rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 221 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 222 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 223 }
RyoheiHagimoto 0:0e0631af0305 224 else
RyoheiHagimoto 0:0e0631af0305 225 {
RyoheiHagimoto 0:0e0631af0305 226 const Mat _dst(_rows, 1, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 227 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 228 src.copyTo(_dst);
RyoheiHagimoto 0:0e0631af0305 229 }
RyoheiHagimoto 0:0e0631af0305 230 }
RyoheiHagimoto 0:0e0631af0305 231
RyoheiHagimoto 0:0e0631af0305 232
RyoheiHagimoto 0:0e0631af0305 233 template<typename _Tp> static inline
RyoheiHagimoto 0:0e0631af0305 234 void cv2eigen( const Mat& src,
RyoheiHagimoto 0:0e0631af0305 235 Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
RyoheiHagimoto 0:0e0631af0305 236 {
RyoheiHagimoto 0:0e0631af0305 237 CV_Assert(src.rows == 1);
RyoheiHagimoto 0:0e0631af0305 238 dst.resize(src.cols);
RyoheiHagimoto 0:0e0631af0305 239 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 240 {
RyoheiHagimoto 0:0e0631af0305 241 const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 242 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 243 if( src.type() == _dst.type() )
RyoheiHagimoto 0:0e0631af0305 244 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 245 else
RyoheiHagimoto 0:0e0631af0305 246 Mat(src.t()).convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 247 }
RyoheiHagimoto 0:0e0631af0305 248 else
RyoheiHagimoto 0:0e0631af0305 249 {
RyoheiHagimoto 0:0e0631af0305 250 const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 251 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 252 src.convertTo(_dst, _dst.type());
RyoheiHagimoto 0:0e0631af0305 253 }
RyoheiHagimoto 0:0e0631af0305 254 }
RyoheiHagimoto 0:0e0631af0305 255
RyoheiHagimoto 0:0e0631af0305 256 //Matx
RyoheiHagimoto 0:0e0631af0305 257 template<typename _Tp, int _cols> static inline
RyoheiHagimoto 0:0e0631af0305 258 void cv2eigen( const Matx<_Tp, 1, _cols>& src,
RyoheiHagimoto 0:0e0631af0305 259 Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
RyoheiHagimoto 0:0e0631af0305 260 {
RyoheiHagimoto 0:0e0631af0305 261 dst.resize(_cols);
RyoheiHagimoto 0:0e0631af0305 262 if( !(dst.Flags & Eigen::RowMajorBit) )
RyoheiHagimoto 0:0e0631af0305 263 {
RyoheiHagimoto 0:0e0631af0305 264 const Mat _dst(_cols, 1, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 265 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 266 transpose(src, _dst);
RyoheiHagimoto 0:0e0631af0305 267 }
RyoheiHagimoto 0:0e0631af0305 268 else
RyoheiHagimoto 0:0e0631af0305 269 {
RyoheiHagimoto 0:0e0631af0305 270 const Mat _dst(1, _cols, DataType<_Tp>::type,
RyoheiHagimoto 0:0e0631af0305 271 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
RyoheiHagimoto 0:0e0631af0305 272 Mat(src).copyTo(_dst);
RyoheiHagimoto 0:0e0631af0305 273 }
RyoheiHagimoto 0:0e0631af0305 274 }
RyoheiHagimoto 0:0e0631af0305 275
RyoheiHagimoto 0:0e0631af0305 276 //! @}
RyoheiHagimoto 0:0e0631af0305 277
RyoheiHagimoto 0:0e0631af0305 278 } // cv
RyoheiHagimoto 0:0e0631af0305 279
RyoheiHagimoto 0:0e0631af0305 280 #endif