Hierarchical Data Format version 5

Detailed Description

Hierarchical Data Format version 5

In order to use it, the hdf5 library has to be installed, which means cmake should find it using find_package(HDF5).

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

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

Function Documentation

open()

Ptr< HDF5 > cv::hdf::open

(

const String &

HDF5Filename

)

#include <opencv2/hdf/hdf5.hpp>

Open or create hdf5 file.

Parameters

HDF5Filename

specify the HDF5 filename.

Returns a pointer to the hdf5 object class

Note

If the specified file does not exist, it will be created using default properties. Otherwise, it is opened in read and write mode with default access properties. Any operations except dscreate() functions on object will be thread safe. Multiple datasets can be created inside a single hdf5 file, and can be accessed from the 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 as non-overlapping regions are involved. Object is released using close().

• Example below opens and then releases the file.

  // open / auto create 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 ]
        }
     }
  }
  }