How to Install and Uninstall python3-dipy Package on Kali Linux

Last updated: July 08,2024

1. Install "python3-dipy" package

This guide covers the steps necessary to install python3-dipy on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-dipy
            
                    
    
    Copied

2. Uninstall "python3-dipy" package

This guide let you learn how to uninstall python3-dipy on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-dipy
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-dipy package on Kali Linux

Package: python3-dipy
Source: dipy
Version: 1.8.0-2
Installed-Size: 10259
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-h5py (>= 3.1.0), python3-nibabel, python3-numpy, python3-packaging, python3-scipy, python3-tqdm, python3-trx-python, python3:any, python3-pandas, python3-dipy-lib (>= 1.8.0-2)
Recommends: python3-matplotlib, python3-vtk9, python3-tables, python3-sklearn
Suggests: python-dipy-doc
Size: 3458172
SHA256: e36747b668a18cb28928faa61f8547e6b7608108687100241347fd6aaa31c423
SHA1: 41e67556d45b68296a1c78b584f9871d7c3b29a4
MD5sum: 9e322e7a94776769168f8f2bac04bff0
Description: 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:
Homepage: https://dipy.org
Section: python
Priority: optional
Filename: pool/main/d/dipy/python3-dipy_1.8.0-2_all.deb