Ubuntu
dipy package

dipy 1.9.0-5 source package in Ubuntu

Changelog

dipy (1.9.0-5) unstable; urgency=medium

  * Team upload.
  * d/tests/run-unit-test: skip test_check_img_shapes on all 32-bit archs.
    Closes: #1071448

 -- Michael R. Crusoe <email address hidden>  Fri, 21 Jun 2024 15:06:36 +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
Oracular release universe python

Downloads

File Size SHA-256 Checksum
dipy_1.9.0-5.dsc 2.9 KiB c9719331e7706664718e91d213ef8fb887e1780a38158b57135170a05083e60c
dipy_1.9.0.orig.tar.gz 6.2 MiB 2760c3d1456dd3620c88836b2aa7d576e73bea10a28ccd795f1582bfaefb4ff1
dipy_1.9.0-5.debian.tar.xz 16.2 KiB 48765192d06d0b25667d28bdb4e788aef108ff3a598bf140d2e20ed9c4436f0e

Available diffs

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