Ubuntu
dipy package

dipy 1.7.0-3 source package in Ubuntu

Changelog

dipy (1.7.0-3) unstable; urgency=medium

  * Team upload.

  [ Nathan Pratta Teodosio ]
  * skip-streamwarp-test-in-big-endian.patch: skip streamwarp tests in
    big endian architectures (Closes: #1050037).

  [ Michael R. Crusoe ]
  * d/patches: update forwarding status
  * d/control, d/clean, d/rules: cleanup better after a build. Closes: #1044608
  * d/patches/python3: rewrite some hashbang headers that dh_python missed

 -- Michael R. Crusoe <email address hidden>  Thu, 28 Sep 2023 10:48:22 +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 Pocket Published Component Section
Mantic release universe python

Downloads

File Size SHA-256 Checksum
dipy_1.7.0-3.dsc 2.7 KiB cd39b973a45b1117f20ea04c2f6e4dad1789910714671fba9edd0d1467fef613
dipy_1.7.0.orig.tar.gz 6.2 MiB f665e2e9fef7f6a848edb5d96852e867c8fa7ea1188f5d2721b1d0fdf1c724c1
dipy_1.7.0-3.debian.tar.xz 17.3 KiB 9a562f0c85f5615b037359edded6b2bbd1e38544339b6235f47e3d85862359fd

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