/*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 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.outerStride()*sizeof(_Tp)); transpose(_src, dst); } else { Mat _src(src.rows(), src.cols(), traits::Type<_Tp>::value, (void*)src.data(), src.outerStride()*sizeof(_Tp)); _src.copyTo(dst); } } // Matx case template 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(src.data())).t(); } else { dst = Matx<_Tp, _rows, _cols>(static_cast(src.data())); } } template 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.outerStride()*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.outerStride()*sizeof(_Tp))); src.convertTo(_dst, _dst.type()); } } // Matx case template 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.outerStride()*sizeof(_Tp))); transpose(src, _dst); } else { const Mat _dst(_rows, _cols, traits::Type<_Tp>::value, dst.data(), (size_t)(dst.outerStride()*sizeof(_Tp))); Mat(src).copyTo(_dst); } } template 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.outerStride()*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.outerStride()*sizeof(_Tp))); src.convertTo(_dst, _dst.type()); } } // Matx case template 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.outerStride()*sizeof(_Tp))); transpose(src, _dst); } else { const Mat _dst(_rows, _cols, traits::Type<_Tp>::value, dst.data(), (size_t)(dst.outerStride()*sizeof(_Tp))); Mat(src).copyTo(_dst); } } template 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.outerStride()*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.outerStride()*sizeof(_Tp))); src.convertTo(_dst, _dst.type()); } } // Matx case template 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.outerStride()*sizeof(_Tp))); transpose(src, _dst); } else { const Mat _dst(_rows, 1, traits::Type<_Tp>::value, dst.data(), (size_t)(dst.outerStride()*sizeof(_Tp))); src.copyTo(_dst); } } template 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.outerStride()*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.outerStride()*sizeof(_Tp))); src.convertTo(_dst, _dst.type()); } } //Matx template 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.outerStride()*sizeof(_Tp))); transpose(src, _dst); } else { const Mat _dst(1, _cols, traits::Type<_Tp>::value, dst.data(), (size_t)(dst.outerStride()*sizeof(_Tp))); Mat(src).copyTo(_dst); } } //! @} } // cv #endif