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

Last updated: November 07,2024

1. Install "python3-astroalign" package

Please follow the guidelines below to install python3-astroalign on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-astroalign
            
                    
    
    Copied

2. Uninstall "python3-astroalign" package

This is a short guide on how to uninstall python3-astroalign on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-astroalign
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-astroalign
Source: astroalign
Version: 2.5.1-1
Installed-Size: 49
Maintainer: Debian Astronomy Team
Architecture: all
Depends: python3-numpy, python3-scipy, python3-sep, python3-skimage, python3:any
Recommends: python3-astropy
Size: 11396
SHA256: 9fba523e8a623a10c873759cb297ee81c88b598cceab785f4c528ffaa84b4623
SHA1: 8396e47f3f6ede5b6bd4fbd73b8c5ca27ee91b0c
MD5sum: 013c5b22456a9deaee8f052cca66d90c
Description: Astrometric registration of images when no WCS info is available
Astroalign is a Python module that will try to align two stellar
astronomical images, especially when there is no WCS information
available.
.
It does so by finding similar 3-point asterisms (triangles) in both
images and deducing the affine transformation between them.
.
Generic registration routines try to match feature points, using
corner detection routines to make the point correspondence. These
generally fail for stellar astronomical images, since stars have very
little stable structure and so, in general, indistinguishable from
each other. Asterism matching is more robust, and closer to the human
way of matching stellar images.
Description-md5:
Homepage: https://github.com/quatrope/astroalign
Section: python
Priority: optional
Filename: pool/main/a/astroalign/python3-astroalign_2.5.1-1_all.deb