How to Install and Uninstall mialmpick Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: November 07,2024

1. Install "mialmpick" package

Please follow the step by step instructions below to install mialmpick on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                mialmpick
            
                    
    
    Copied

2. Uninstall "mialmpick" package

This tutorial shows how to uninstall mialmpick on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                mialmpick
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the mialmpick package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: mialmpick
Architecture: amd64
Version: 0.2.14-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 204
Depends: libc6 (>= 2.14), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.41.1), libglu1-mesa | libglu1, libgtk2.0-0 (>= 2.24.31), libgtkglext1, libmialm3 (>= 1.0.7), libpng16-16 (>= 1.6.2-1), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6
Filename: pool/universe/m/mialmpick/mialmpick_0.2.14-1_amd64.deb
Size: 71108
MD5sum: 37f31f31295197245c2aa39b7992a0ab
SHA1: c9411597c9f0c8569165886f16a5c2c26bf3a712
SHA256: 88bb52c8cdbe8ddd0c0f544e09b835866cf862ac82e888d4d189c1dd5ed2b825
Homepage: http://mia.sourceforge.net
Description: Tools for landmark picking in 3D volume data sets
Description-md5: d26281ef13924aa63d38940eb2820ca2