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