dipy 1.5.0-4 source package in Ubuntu
Changelog
dipy (1.5.0-4) unstable; urgency=medium * Team Upload. * d/rules: Ignore dh_dwz if it fails (currently failing on armel) -- Nilesh Patra <email address hidden> Sat, 26 Mar 2022 13:39:31 +0530
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 |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
dipy_1.5.0-4.dsc | 2.7 KiB | c2a6a5002789e2c1bbb800f65a4e9e601318e121847efbd266baf65b27348ea9 |
dipy_1.5.0.orig.tar.gz | 5.9 MiB | 73b3784914fa9b892479b65a994b3971b145fb58c9c6d346bf62cda4d9798da6 |
dipy_1.5.0-4.debian.tar.xz | 14.9 KiB | 7b5e9c58ae5662df479d4f49ca5639b97a5ac788f18179252c22a489941b233d |
Available diffs
- diff from 1.4.1-1build1 (in Ubuntu) to 1.5.0-4 (223.0 KiB)
No changes file available.
Binary packages built by this source
- python-dipy-doc: No summary available for python-dipy-doc in ubuntu kinetic.
No description available for python-dipy-doc in ubuntu kinetic.
- 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: No summary available for python3-dipy-lib in ubuntu kinetic.
No description available for python3-dipy-lib in ubuntu kinetic.
- python3-dipy-lib-dbgsym: debug symbols for python3-dipy-lib