Ubuntu
dipy package

dipy 1.5.0-4 source package in Ubuntu

Changelog

dipy (1.5.0-4) unstable; urgency=medium

  * Team Upload.
  * d/rules: Ignore dh_dwz if it fails (currently failing on armel)

 -- Nilesh Patra <email address hidden>  Sat, 26 Mar 2022 13:39:31 +0530

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

Downloads

File Size SHA-256 Checksum
dipy_1.5.0-4.dsc 2.7 KiB c2a6a5002789e2c1bbb800f65a4e9e601318e121847efbd266baf65b27348ea9
dipy_1.5.0.orig.tar.gz 5.9 MiB 73b3784914fa9b892479b65a994b3971b145fb58c9c6d346bf62cda4d9798da6
dipy_1.5.0-4.debian.tar.xz 14.9 KiB 7b5e9c58ae5662df479d4f49ca5639b97a5ac788f18179252c22a489941b233d

No changes file available.

Binary packages built by this source

python-dipy-doc: No summary available for python-dipy-doc in ubuntu kinetic.

No description available for python-dipy-doc in ubuntu kinetic.

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: No summary available for python3-dipy-lib in ubuntu kinetic.

No description available for python3-dipy-lib in ubuntu kinetic.

python3-dipy-lib-dbgsym: debug symbols for python3-dipy-lib