dipy 1.9.0-4 source package in Ubuntu
Changelog
dipy (1.9.0-4) unstable; urgency=medium * Team upload. * d/tests/run-unit-test: fix i386 autopkgtest * d/patches/relay_comparison: forwarded upstream -- Michael R. Crusoe <email address hidden> Tue, 18 Jun 2024 15:03:21 +0200
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| dipy_1.9.0-4.dsc | 2.9 KiB | b02c5963c57e44b778adc388790c3944d08d59af7baea0a8b462f96802548402 |
| dipy_1.9.0.orig.tar.gz | 6.2 MiB | 2760c3d1456dd3620c88836b2aa7d576e73bea10a28ccd795f1582bfaefb4ff1 |
| dipy_1.9.0-4.debian.tar.xz | 16.1 KiB | 8a2dc28dd5067d526d5957ee8c98c8d31ac8d23fb32d7a1dbc1525e98ac0fa77 |
Available diffs
- diff from 1.9.0-3 to 1.9.0-4 (869 bytes)
No changes file available.
Binary packages built by this source
- python-dipy-doc: Python library for the analysis of diffusion MRI datasets -- documentation
DIPY is a library for the analysis of diffusion magnetic resonance
imaging data.
.
This package provides the documentation in HTML format.
- python3-dipy: Python library for the analysis of diffusion MRI datasets
DIPY is a software project for computational neuroanatomy. It focuses
on diffusion magnetic resonance imaging (dMRI) analysis and
tractography but also contains implementations of other computational
imaging methods such as denoising and registration that are
applicable to the greater medical imaging and image processing
communities. Additionally, DIPY is an international project which
brings together scientists across labs and countries to share their
state-of-the-art code and expertise in the same codebase,
accelerating scientific research in medical imaging.
.
Here are some of the highlights:
- Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE
and MAPMRI
- Fiber tracking algorithms: deterministic and probabilistic
- Native linear and nonlinear registration of images
- Fast operations on streamlines (selection, resampling, registration)
- Tractography segmentation and clustering
- Many image operations, e.g., reslicing or denoising with NLMEANS
- Estimation of distances/correspondences between streamlines and
connectivity matrices
- Interactive visualization of streamlines in the space of images
.
This package contains the Python 3 version.
- python3-dipy-lib: Python library for the analysis of diffusion MRI datasets -- Python3 extensions
DIPY is a library for the analysis of diffusion magnetic resonance
imaging data.
.
This package provides architecture-dependent builds of the extensions
for Python3.
- python3-dipy-lib-dbgsym: debug symbols for python3-dipy-lib
