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dipy package

dipy 1.8.0-2ubuntu1 source package in Ubuntu

Changelog

dipy (1.8.0-2ubuntu1) noble; urgency=medium

  * Do not fail when attempting to clean up after a nocheck build

 -- Graham Inggs <email address hidden>  Mon, 12 Feb 2024 20:19:56 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
dipy_1.8.0.orig.tar.gz 6.2 MiB 06648d858d1c5f5e69859e4298aed837eee123a61d60c2411b7f76724e54f241
dipy_1.8.0-2ubuntu1.debian.tar.xz 18.3 KiB be039508ee80c1fd9492abda98fd9f1eb2ed0e574ce950e31e2fef7dafb83b05
dipy_1.8.0-2ubuntu1.dsc 2.9 KiB 75676a0118e267f04657c7c9ea7f22b4cf4d36164008c9b74f01d4b640f036f1

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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