mirror of
https://gitcode.com/gh_mirrors/es/esp32-opencv.git
synced 2025-08-06 18:24:38 +08:00
initial commit
This commit is contained in:
Joachim
280
esp32/lib/opencv/opencv2/core/eigen.hpp
Normal file
280
esp32/lib/opencv/opencv2/core/eigen.hpp
Normal file
@ -0,0 +1,280 @@
|
||||
/*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, OutputArray 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<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.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<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.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<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.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<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.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<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.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<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.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<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.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<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.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
|
||||
Reference in New Issue
Block a user