dipy 1.7.0-4 source package in Ubuntu

Changelog

dipy (1.7.0-4) unstable; urgency=medium

  * Team upload.
  * Take over the suggested solution by Drew Parsons to avoid comparison of
    floating point numbers
    Closes: #1053265

 -- Andreas Tille <email address hidden>  Tue, 07 Nov 2023 14:10:28 +0100

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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
Noble release universe python

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dipy_1.7.0-4.dsc 2.7 KiB e5ae94ac0c330985a8a96a38660bce1ed9b2de909a6f05d1b71c7bb9d6f014d0
dipy_1.7.0.orig.tar.gz 6.2 MiB f665e2e9fef7f6a848edb5d96852e867c8fa7ea1188f5d2721b1d0fdf1c724c1
dipy_1.7.0-4.debian.tar.xz 17.6 KiB 7efae5b30a6b6394ff5177a843d114dcb2173036216f0a1f58e48ff36c4cb5e3

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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