Releases: nipy/nibabel
Releases · nipy/nibabel
1.0.1
- Bugfix release
- Fix bugs in tests for data package paths
- Fix leaks of open filehandles when loading images (thanks to Gael
Varoquaux for the report) - Skip rw tests for SPM images when scipy not installed
- Fix various windows-specific file issues for tests
- Fix incorrect reading of byte-swapped trackvis files
- Workaround for odd numpy dtype comparisons leading to header errors for
some loaded images (thanks to Cindee Madison for the report)
Release 1.0.0
- This is the first public release of the NiBabel package.
- NiBabel is a complete rewrite of the PyNifti package in pure python. It was
designed to make the code simpler and easier to work with. Like PyNifti,
NiBabel has fairly comprehensive NIfTI read and write support. - Extended support for SPM Analyze images, including orientation affines from
matlab.mat
files. - Basic support for simple MINC 1.0 files (MB). Please let us know if you
have MINC files that we don't support well. - Support for reading and writing PAR/REC images (MH)
parrec2nii
script to convert PAR/REC images to NIfTI format (MH)- Very preliminary, limited and highly experimental DICOM reading support (MB,
Ian Nimmo Smith). - Some functions (
nibabel.funcs
) for basic image shape changes, including
the ability to transform to the image with data closest to the cononical
image orientation (first axis left-to-right, second back-to-front, third
down-to-up) (MB, Jonathan Taylor) - Gifti format read and write support (preliminary) (Stephen Gerhard)
- Added utilities to use nipy-style data packages, by rip then edit of nipy
data package code (MB) - Some improvements to release support (Jarrod Millman, MB, Fernando Perez)
- Huge downward step in the quality and coverage by the docs, caused by MB,
mostly fixed by a lot of good work by MH. - NiBabel will not work with Python < 2.5, and we haven't even tested it with
Python 3. We will get to it soon...