h5utils 1.12

A set of utilities for visualization and conversion of scientific data in the free, portable HDF5 format

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What's new in h5utils 1.12:

  • The vertical axis in h5topng is now reversed to correspond to what most people seem to expect: increasing coordinates correspond to "up" and "right" in the image, rather than "down" and "right" in the image as in previous versions.
  • Fixed failure in h5tovtk -2; thanks to Karen Lee for the bug report.
  • Fixed installation of h5read.oct for Octave 3.x.
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GPL (GNU General Public License) 
3.4/5 19
Steven G. Johnson
ROOT \ Science and Engineering \ Visualization
h5utils is a set of utilities for visualization and conversion of scientific data in the free, portable HDF5 format.

Besides providing a simple tool for batch visualization as PNG images, h5utils also includes programs to convert HDF5 datasets into the formats required by other free visualization software (e.g. plain text, Vis5d, and VTK).

The included utilities are:

h5totxt and h5fromtxt: convert HDF5 datasets to/from ASCII text (e.g. comma- or tab-delimited).
h5topng: convert 2d slices of HDF5 datasets to PNG images, with a variety of color tables and other options. See the man page for more information.
h5tov5d: convert HDF5 datasets to the format used by the free 3d+ visualization tool Vis5d.
h5tovtk: convert HDF5 datasets to VTK format for use by the free Visualization ToolKit (along with supporting programs like MayaVi).
h5math: create and combine HDF5 datasets with simple (pointwise) mathematical expressions.
h5read.oct: a plug-in for GNU Octave (a Matlab-like program) to read 2d slices of HDF5 datasets.
h5fromh4 and h4fromh5: convert HDF (version 4) datasets to and from HDF5. These utilities are somewhat reduandant with the h4toh5 and h5toh4 programs provided by NCSA (which are no longer bundled with HDF5, however).


To compile and install the package, you then just type the usual:

make install

Last updated on June 13th, 2009


#visualization utilities #conversion tools #HDF5 converter #HDF5 #datasets #visualization #conversion

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