How to Install and Uninstall python3-dipy Package on Ubuntu 21.10 (Impish Indri)
Last updated: December 29,2024
1. Install "python3-dipy" package
Please follow the guidelines below to install python3-dipy on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-dipy
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2. Uninstall "python3-dipy" package
Please follow the instructions below to uninstall python3-dipy on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-dipy
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-dipy package on Ubuntu 21.10 (Impish Indri)
Package: python3-dipy
Architecture: all
Version: 1.3.0-3
Priority: optional
Section: universe/python
Source: dipy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9181
Depends: python3-h5py-serial, python3-nibabel (>= 3.0.0), python3-numpy, python3-packaging, python3-scipy, python3-tqdm, python3:any, python3-h5py, python3-pandas, python3-dipy-lib (>= 1.3.0-3)
Recommends: python3-matplotlib, python3-vtk7, python3-nose, python3-tables, python3-sklearn
Suggests: python-dipy-doc
Filename: pool/universe/d/dipy/python3-dipy_1.3.0-3_all.deb
Size: 3112624
MD5sum: d694ff9503f5ff6cf3ab2fd6e74a06c4
SHA1: ea18e18b08367ad44cf1f067e754ffcd72b5b2ec
SHA256: a39cfda996bc3d4678ee24a97aa1cb325dc98cc14ab6f6f9deefef2c4e6ba7c2
SHA512: 4fb70588308edf8c6fc6abea5013cfa93115daf6df7fd7cb0d277b50f4def62e039d0857a3aeb4138162113f406b54f5539a45cbb7933385420b41a07cdce115
Homepage: https://dipy.org
Description-en: 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.
Description-md5: e620bab38cf0e2e257daf48cb72578d2
Architecture: all
Version: 1.3.0-3
Priority: optional
Section: universe/python
Source: dipy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9181
Depends: python3-h5py-serial, python3-nibabel (>= 3.0.0), python3-numpy, python3-packaging, python3-scipy, python3-tqdm, python3:any, python3-h5py, python3-pandas, python3-dipy-lib (>= 1.3.0-3)
Recommends: python3-matplotlib, python3-vtk7, python3-nose, python3-tables, python3-sklearn
Suggests: python-dipy-doc
Filename: pool/universe/d/dipy/python3-dipy_1.3.0-3_all.deb
Size: 3112624
MD5sum: d694ff9503f5ff6cf3ab2fd6e74a06c4
SHA1: ea18e18b08367ad44cf1f067e754ffcd72b5b2ec
SHA256: a39cfda996bc3d4678ee24a97aa1cb325dc98cc14ab6f6f9deefef2c4e6ba7c2
SHA512: 4fb70588308edf8c6fc6abea5013cfa93115daf6df7fd7cb0d277b50f4def62e039d0857a3aeb4138162113f406b54f5539a45cbb7933385420b41a07cdce115
Homepage: https://dipy.org
Description-en: 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.
Description-md5: e620bab38cf0e2e257daf48cb72578d2