#include <MatrixIO.hpp>
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template<typename MatrixT > |
boost::optional< MatrixT > | load (HighFive::Group &group, std::string datasetName) |
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template<typename MatrixT > |
boost::optional< MatrixT > | load (std::string groupName, std::string datasetName) |
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template<typename MatrixT > |
boost::optional< MatrixT > | loadMatrix (std::string groupName, std::string datasetName) |
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template<typename _Scalar , int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols> |
void | save (HighFive::Group &group, std::string datasetName, const Eigen::Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > &mat) |
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template<typename _Scalar , int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols> |
void | save (std::string groupName, std::string datasetName, const Eigen::Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > &mat) |
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template<typename Derived>
class lvr2::hdf5features::MatrixIO< Derived >
Definition at line 16 of file hdf5/MatrixIO.hpp.
◆ load() [1/2]
template<typename Derived >
template<typename MatrixT >
◆ load() [2/2]
template<typename Derived >
template<typename MatrixT >
◆ loadMatrix()
template<typename Derived >
template<typename MatrixT >
◆ save() [1/2]
template<typename Derived >
template<typename _Scalar , int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
◆ save() [2/2]
template<typename Derived >
template<typename _Scalar , int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
void lvr2::hdf5features::MatrixIO< Derived >::save |
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std::string |
groupName, |
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std::string |
datasetName, |
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const Eigen::Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & |
mat |
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◆ m_file_access
template<typename Derived >
The documentation for this class was generated from the following file: