dipy 0.14.0-1 source package in Ubuntu

Changelog

dipy (0.14.0-1) unstable; urgency=medium

  * Fresh upstream release
  * debian/
    - pushed compat to 9
    - removed absorbed upstream debian/patches/1300.diff
    - build-depend on python-numpydoc

 -- Yaroslav Halchenko <email address hidden>  Mon, 14 May 2018 14:59:42 -0400

Upload details

Uploaded by:
NeuroDebian Team on 2018-05-15
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Disco release on 2018-12-03 universe python

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File Size SHA-256 Checksum
dipy_0.14.0-1.dsc 2.4 KiB 3e4233d45e60032f8571260cf8045c669d6c1f18501471fd0d2bd79bbe61f1f7
dipy_0.14.0.orig-doc-examples.tar.gz 133.7 MiB b23c9db57f4ae0a212c5bc5a4f46d8dcfe74ece2cace2760b4824415564fa33b
dipy_0.14.0.orig.tar.gz 5.5 MiB ad938658c26a1f780534b8af5d0813add0ddb282abf1e87f548e35c32f47705e
dipy_0.14.0-1.debian.tar.xz 825.6 KiB 52949bd8d7e9e1f63c483d2a85ba4a57a7907acd298f6c77965217e44679f616

Available diffs

No changes file available.

Binary packages built by this source

python-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

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.

python-dipy-lib: Python library for the analysis of diffusion MRI datasets -- extensions

 DIPY is a library for the analysis of diffusion magnetic resonance
 imaging data.
 .
 This package provides architecture-dependent builds of the extensions.

python-dipy-lib-dbgsym: debug symbols for python-dipy-lib