Hierarchical Data Format version 5

Classes
class	cv::hdf::HDF5
	Hierarchical Data Format version 5 interface. More...

Enumerations
enum	{   cv::hdf::HDF5::H5_UNLIMITED = -1,   cv::hdf::HDF5::H5_NONE = -1,   cv::hdf::HDF5::H5_GETDIMS = 100,   cv::hdf::HDF5::H5_GETMAXDIMS = 101 }

Functions
Ptr< HDF5 >	cv::hdf::open (String HDF5Filename)
	Open or create hdf5 file. More...

Detailed Description

Hierarchical Data Format version 5

Enumeration Type Documentation

anonymous enum

Enumerator
H5_UNLIMITED
H5_NONE
H5_GETDIMS
H5_GETMAXDIMS

Function Documentation

Ptr<HDF5> cv::hdf::open

(

String

HDF5Filename

)

Open or create hdf5 file.

Parameters

HDF5Filename

specify the HDF5 filename.

Returns pointer to the hdf5 object class

Note

If hdf5 file does not exist it will be created. Any operations except dscreate() functions on object will be thread safe. Multiple datasets can be created inside single hdf5 file, and can be accessed from same hdf5 object from multiple instances as long read or write operations are done over non-overlapping regions of dataset. Single hdf5 file also can be opened by multiple instances, reads and writes can be instantiated at the same time as long non-overlapping regions are involved. Object is released using close().

• Example below open and then release the file.

  // open / autocreate hdf5 file
  cv::Ptr<cv::hdf::HDF5> h5io = cv::hdf::open( "mytest.h5" );
  // ...
  // release
  h5io->close();

Visualization of 10x10 CV_64FC2 (Hilbert matrix) using HDFView tool

• Text dump (3x3 Hilbert matrix) of hdf5 dataset using h5dump tool:

  $ h5dump test.h5
  HDF5 "test.h5" {
  GROUP "/" {
     DATASET "hilbert" {
        DATATYPE  H5T_ARRAY { [2] H5T_IEEE_F64LE }
        DATASPACE  SIMPLE { ( 3, 3 ) / ( 3, 3 ) }
        DATA {
        (0,0): [ 1, -1 ], [ 0.5, -0.5 ], [ 0.333333, -0.333333 ],
        (1,0): [ 0.5, -0.5 ], [ 0.333333, -0.333333 ], [ 0.25, -0.25 ],
        (2,0): [ 0.333333, -0.333333 ], [ 0.25, -0.25 ], [ 0.2, -0.2 ]
        }
     }
  }
  }