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							- /*M///////////////////////////////////////////////////////////////////////////////////////
 
- //
 
- //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 
- //
 
- //  By downloading, copying, installing or using the software you agree to this license.
 
- //  If you do not agree to this license, do not download, install,
 
- //  copy or use the software.
 
- //
 
- //
 
- //                          License Agreement
 
- //                For Open Source Computer Vision Library
 
- //
 
- // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
 
- // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
 
- // Copyright (C) 2013, OpenCV Foundation, all rights reserved.
 
- // Third party copyrights are property of their respective owners.
 
- //
 
- // Redistribution and use in source and binary forms, with or without modification,
 
- // are permitted provided that the following conditions are met:
 
- //
 
- //   * Redistribution's of source code must retain the above copyright notice,
 
- //     this list of conditions and the following disclaimer.
 
- //
 
- //   * Redistribution's in binary form must reproduce the above copyright notice,
 
- //     this list of conditions and the following disclaimer in the documentation
 
- //     and/or other materials provided with the distribution.
 
- //
 
- //   * The name of the copyright holders may not be used to endorse or promote products
 
- //     derived from this software without specific prior written permission.
 
- //
 
- // This software is provided by the copyright holders and contributors "as is" and
 
- // any express or implied warranties, including, but not limited to, the implied
 
- // warranties of merchantability and fitness for a particular purpose are disclaimed.
 
- // In no event shall the Intel Corporation or contributors be liable for any direct,
 
- // indirect, incidental, special, exemplary, or consequential damages
 
- // (including, but not limited to, procurement of substitute goods or services;
 
- // loss of use, data, or profits; or business interruption) however caused
 
- // and on any theory of liability, whether in contract, strict liability,
 
- // or tort (including negligence or otherwise) arising in any way out of
 
- // the use of this software, even if advised of the possibility of such damage.
 
- //
 
- //M*/
 
- #ifndef OPENCV_CORE_EIGEN_HPP
 
- #define OPENCV_CORE_EIGEN_HPP
 
- #include "opencv2/core.hpp"
 
- #if defined _MSC_VER && _MSC_VER >= 1200
 
- #pragma warning( disable: 4714 ) //__forceinline is not inlined
 
- #pragma warning( disable: 4127 ) //conditional expression is constant
 
- #pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data
 
- #endif
 
- namespace cv
 
- {
 
- //! @addtogroup core_eigen
 
- //! @{
 
- template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
 
- void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src, Mat& dst )
 
- {
 
-     if( !(src.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         Mat _src(src.cols(), src.rows(), traits::Type<_Tp>::value,
 
-               (void*)src.data(), src.stride()*sizeof(_Tp));
 
-         transpose(_src, dst);
 
-     }
 
-     else
 
-     {
 
-         Mat _src(src.rows(), src.cols(), traits::Type<_Tp>::value,
 
-                  (void*)src.data(), src.stride()*sizeof(_Tp));
 
-         _src.copyTo(dst);
 
-     }
 
- }
 
- // Matx case
 
- template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
 
- void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src,
 
-                Matx<_Tp, _rows, _cols>& dst )
 
- {
 
-     if( !(src.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         dst = Matx<_Tp, _cols, _rows>(static_cast<const _Tp*>(src.data())).t();
 
-     }
 
-     else
 
-     {
 
-         dst = Matx<_Tp, _rows, _cols>(static_cast<const _Tp*>(src.data()));
 
-     }
 
- }
 
- template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
 
- void cv2eigen( const Mat& src,
 
-                Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
 
- {
 
-     CV_DbgAssert(src.rows == _rows && src.cols == _cols);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(src.cols, src.rows, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         if( src.type() == _dst.type() )
 
-             transpose(src, _dst);
 
-         else if( src.cols == src.rows )
 
-         {
 
-             src.convertTo(_dst, _dst.type());
 
-             transpose(_dst, _dst);
 
-         }
 
-         else
 
-             Mat(src.t()).convertTo(_dst, _dst.type());
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(src.rows, src.cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         src.convertTo(_dst, _dst.type());
 
-     }
 
- }
 
- // Matx case
 
- template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
 
- void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
 
-                Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
 
- {
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(_cols, _rows, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         transpose(src, _dst);
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(_rows, _cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         Mat(src).copyTo(_dst);
 
-     }
 
- }
 
- template<typename _Tp>  static inline
 
- void cv2eigen( const Mat& src,
 
-                Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
 
- {
 
-     dst.resize(src.rows, src.cols);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(src.cols, src.rows, traits::Type<_Tp>::value,
 
-              dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         if( src.type() == _dst.type() )
 
-             transpose(src, _dst);
 
-         else if( src.cols == src.rows )
 
-         {
 
-             src.convertTo(_dst, _dst.type());
 
-             transpose(_dst, _dst);
 
-         }
 
-         else
 
-             Mat(src.t()).convertTo(_dst, _dst.type());
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(src.rows, src.cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         src.convertTo(_dst, _dst.type());
 
-     }
 
- }
 
- // Matx case
 
- template<typename _Tp, int _rows, int _cols> static inline
 
- void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
 
-                Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
 
- {
 
-     dst.resize(_rows, _cols);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(_cols, _rows, traits::Type<_Tp>::value,
 
-              dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         transpose(src, _dst);
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(_rows, _cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         Mat(src).copyTo(_dst);
 
-     }
 
- }
 
- template<typename _Tp> static inline
 
- void cv2eigen( const Mat& src,
 
-                Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
 
- {
 
-     CV_Assert(src.cols == 1);
 
-     dst.resize(src.rows);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(src.cols, src.rows, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         if( src.type() == _dst.type() )
 
-             transpose(src, _dst);
 
-         else
 
-             Mat(src.t()).convertTo(_dst, _dst.type());
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(src.rows, src.cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         src.convertTo(_dst, _dst.type());
 
-     }
 
- }
 
- // Matx case
 
- template<typename _Tp, int _rows> static inline
 
- void cv2eigen( const Matx<_Tp, _rows, 1>& src,
 
-                Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
 
- {
 
-     dst.resize(_rows);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(1, _rows, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         transpose(src, _dst);
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(_rows, 1, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         src.copyTo(_dst);
 
-     }
 
- }
 
- template<typename _Tp> static inline
 
- void cv2eigen( const Mat& src,
 
-                Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
 
- {
 
-     CV_Assert(src.rows == 1);
 
-     dst.resize(src.cols);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(src.cols, src.rows, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         if( src.type() == _dst.type() )
 
-             transpose(src, _dst);
 
-         else
 
-             Mat(src.t()).convertTo(_dst, _dst.type());
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(src.rows, src.cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         src.convertTo(_dst, _dst.type());
 
-     }
 
- }
 
- //Matx
 
- template<typename _Tp, int _cols> static inline
 
- void cv2eigen( const Matx<_Tp, 1, _cols>& src,
 
-                Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
 
- {
 
-     dst.resize(_cols);
 
-     if( !(dst.Flags & Eigen::RowMajorBit) )
 
-     {
 
-         const Mat _dst(_cols, 1, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         transpose(src, _dst);
 
-     }
 
-     else
 
-     {
 
-         const Mat _dst(1, _cols, traits::Type<_Tp>::value,
 
-                  dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
 
-         Mat(src).copyTo(_dst);
 
-     }
 
- }
 
- //! @}
 
- } // cv
 
- #endif
 
 
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