nibabel 2.0.1-2ubuntu1 source package in Ubuntu
Changelog
nibabel (2.0.1-2ubuntu1) xenial; urgency=medium
* Build-depend on python{,3}-dicom.
-- Matthias Klose <email address hidden> Sun, 25 Oct 2015 23:56:22 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- NeuroDebian Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| nibabel_2.0.1.orig.tar.gz | 3.2 MiB | 29c7c371149079586c0cc6152a8dcfd32d1611d683a33306fa551cab93de23db |
| nibabel_2.0.1-2ubuntu1.debian.tar.xz | 6.1 KiB | 1084c816b6d78b5a66b95c2ef89257db52a551a1f0727827de853fe869379f83 |
| nibabel_2.0.1-2ubuntu1.dsc | 2.3 KiB | 13434445a62ce06a1181eb1fce963b19e2fde4715df82629b0929c936920fb2b |
Available diffs
- diff from 2.0.1-1 (in Debian) to 2.0.1-2ubuntu1 (881 bytes)
- diff from 2.0.1-2 (in Debian) to 2.0.1-2ubuntu1 (598 bytes)
Binary packages built by this source
- python-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
- python-nibabel-doc: documentation for NiBabel
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 provides the documentation in HTML format.
- python3-nibabel: Python3 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.
