OXIESEC PANEL

Name	Size	Modified	Perms
📁 ..	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 affine.hpp	15.03 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 base.hpp	26.02 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 bufferpool.hpp	723 bytes	05/12/2017 03:45:27 AM	rw-r--r--
📄 core.hpp	2.31 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 core_c.h	128.15 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 cuda	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 cuda.hpp	28.59 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cuda.inl.hpp	13.59 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cuda_stream_accessor.hpp	3.17 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cuda_types.hpp	5.09 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cvdef.h	13.91 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cvstd.hpp	31.57 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cvstd.inl.hpp	6.96 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 directx.hpp	7.08 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 eigen.hpp	9.11 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 fast_math.hpp	9.35 KB	09/20/2018 09:28:13 AM	rw-r--r--
📁 hal	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 ippasync.hpp	7.3 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 mat.hpp	146.2 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 mat.inl.hpp	90.65 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 matx.hpp	43.42 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 neon_utils.hpp	4.29 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 ocl.hpp	26.86 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 ocl_genbase.hpp	2.28 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 opengl.hpp	23.4 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 operations.hpp	18.12 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 optim.hpp	15.48 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 ovx.hpp	731 bytes	05/12/2017 03:45:27 AM	rw-r--r--
📄 persistence.hpp	45.86 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 private.cuda.hpp	6.18 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 private.hpp	20.99 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 ptr.inl.hpp	9.38 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 saturate.hpp	9.12 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 sse_utils.hpp	41.2 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 traits.hpp	9.74 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 types.hpp	63.21 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 types_c.h	59.05 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 utility.hpp	35.96 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 va_intel.hpp	2.74 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 version.hpp	2.96 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 wimage.hpp	19.71 KB	05/12/2017 03:45:27 AM	rw-r--r--

Editing: eigen.hpp

/*M///////////////////////////////////////////////////////////////////////////////////////
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//  copy or use the software.
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//
//                          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:
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//     this list of conditions and the following disclaimer.
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//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(), DataType<_Tp>::type,
              (void*)src.data(), src.stride()*sizeof(_Tp));
        transpose(_src, dst);
    }
    else
    {
        Mat _src(src.rows(), src.cols(), DataType<_Tp>::type,
                 (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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
        transpose(src, _dst);
    }
    else
    {
        const Mat _dst(_rows, _cols, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
             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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
             dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
        transpose(src, _dst);
    }
    else
    {
        const Mat _dst(_rows, _cols, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
        transpose(src, _dst);
    }
    else
    {
        const Mat _dst(_rows, 1, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 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, DataType<_Tp>::type,
                 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
        transpose(src, _dst);
    }
    else
    {
        const Mat _dst(1, _cols, DataType<_Tp>::type,
                 dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
        Mat(src).copyTo(_dst);
    }
}

//! @}

} // cv

#endif