Paketti: python-nibabel (2.3.2-1)

[ Source: nibabel  ]

Python bindings to various neuroimaging data formats

NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.

This package also provides a commandline tools:

 - dicomfs - FUSE filesystem on top of a directory with DICOMs
 - nib-ls - 'ls' for neuroimaging files
 - parrec2nii - for conversion of PAR/REC to NIfTI images

Muut pakettiin python-nibabel liittyvät paketit

• dep: python

  interactive high-level object-oriented language (Python2 version)

• dep: python-bz2file

  Python library for reading and writing bzip2-compressed files

• dep: python-numpy

  Numerical Python adds a fast array facility to the Python language

• dep: python-scipy

  scientific tools for Python

• dep: python-six

  Python 2 and 3 compatibility library (Python 2 interface)

• rec: python-dicom

  transitional package for python-pydicom
  myös näennäispaketti, jonka toteuttaa python-pydicom

• rec: python-fuse

  Python bindings for FUSE (Filesystems in USErspace)

• sug: python-mock

  Mocking and Testing Library

• sug: python-nibabel-doc

  documentation for NiBabel

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