eigen.hpp

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#ifndef OPENCV_CORE_EIGEN_HPP
#define OPENCV_CORE_EIGEN_HPP
 
#ifndef EIGEN_WORLD_VERSION
#error "Wrong usage of OpenCV's Eigen utility header. Include Eigen's headers first. See https://github.com/opencv/opencv/issues/17366"
#endif
 
#include "opencv2/core.hpp"
 
#if defined _MSC_VER && _MSC_VER >= 1200
#ifndef NOMINMAX
#define NOMINMAX // fix https://github.com/opencv/opencv/issues/17548
#endif
#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
 
#if !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
#if EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3
#include <unsupported/Eigen/CXX11/Tensor>
#define OPENCV_EIGEN_TENSOR_SUPPORT 1
#endif  // EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3
#endif  // !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
 
namespace cv
{
 
 
#if defined(OPENCV_EIGEN_TENSOR_SUPPORT) || defined(CV_DOXYGEN)
template <typename _Tp, int _layout> static inline
void eigen2cv( const Eigen::Tensor<_Tp, 3, _layout> &src, OutputArray dst )
{
    if( !(_layout & Eigen::RowMajorBit) )
    {
        const std::array<int, 3> shuffle{2, 1, 0};
        Eigen::Tensor<_Tp, 3, !_layout> row_major_tensor = src.swap_layout().shuffle(shuffle);
        Mat _src(src.dimension(0), src.dimension(1), CV_MAKETYPE(DataType<_Tp>::type, src.dimension(2)), row_major_tensor.data());
        _src.copyTo(dst);
    }
    else
    {
        Mat _src(src.dimension(0), src.dimension(1), CV_MAKETYPE(DataType<_Tp>::type, src.dimension(2)), (void *)src.data());
        _src.copyTo(dst);
    }
}
 
template <typename _Tp, int _layout> static inline
void cv2eigen( const Mat &src, Eigen::Tensor<_Tp, 3, _layout> &dst )
{
    if( !(_layout & Eigen::RowMajorBit) )
    {
        Eigen::Tensor<_Tp, 3, !_layout> row_major_tensor(src.rows, src.cols, src.channels());
        Mat _dst(src.rows, src.cols, CV_MAKETYPE(DataType<_Tp>::type, src.channels()), row_major_tensor.data());
        if (src.type() == _dst.type())
            src.copyTo(_dst);
        else
            src.convertTo(_dst, _dst.type());
        const std::array<int, 3> shuffle{2, 1, 0};
        dst = row_major_tensor.swap_layout().shuffle(shuffle);
    }
    else
    {
        dst.resize(src.rows, src.cols, src.channels());
        Mat _dst(src.rows, src.cols, CV_MAKETYPE(DataType<_Tp>::type, src.channels()), dst.data());
        if (src.type() == _dst.type())
            src.copyTo(_dst);
        else
            src.convertTo(_dst, _dst.type());
    }
}
 
template <typename _Tp> static inline
Eigen::TensorMap<Eigen::Tensor<_Tp, 3, Eigen::RowMajor>> cv2eigen_tensormap(InputArray src)
{
    Mat mat = src.getMat();
    CV_CheckTypeEQ(mat.type(), CV_MAKETYPE(traits::Type<_Tp>::value, mat.channels()), "");
    return Eigen::TensorMap<Eigen::Tensor<_Tp, 3, Eigen::RowMajor>>((_Tp *)mat.data, mat.rows, mat.cols, mat.channels());
}
#endif // OPENCV_EIGEN_TENSOR_SUPPORT
 
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