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dipy package

dipy 1.4.1-1build1 source package in Ubuntu

Changelog

dipy (1.4.1-1build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Wed, 16 Mar 2022 19:22:14 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian Med
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Jammy release universe python

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File Size SHA-256 Checksum
dipy_1.4.1.orig.tar.gz 5.8 MiB 56150f27eaa7ba406126d59ef4bf0d48ef6549a068c4c86c53978f326f9d5565
dipy_1.4.1-1build1.debian.tar.xz 10.6 KiB 567358d059861e50c819b940b805488ff4705b0dc9b965b7388402c736a0ba06
dipy_1.4.1-1build1.dsc 2.5 KiB 1660020a51ed73b2fcc0f7c2d3ecffc970dcdb646d4cf07e053943b1aceadd2a

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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