How to Install and Uninstall libdlib-data Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 25,2024

1. Install "libdlib-data" package

Please follow the steps below to install libdlib-data on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdlib-data
            
                    
    
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2. Uninstall "libdlib-data" package

This guide covers the steps necessary to uninstall libdlib-data on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libdlib-data
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdlib-data package on Ubuntu 20.10 (Groovy Gorilla)

Package: libdlib-data
Architecture: all
Version: 19.10-3build1
Multi-Arch: foreign
Priority: optional
Section: universe/libs
Source: dlib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 97381
Filename: pool/universe/d/dlib/libdlib-data_19.10-3build1_all.deb
Size: 63405084
MD5sum: 8a059d538b16f8fcae5c059dcc4a7e59
SHA1: 65d94c8397349d3a6757fa385283672a0e2603c9
SHA256: c730baf5fa2f8f74cce0123febcce8eedf85abaeb3d2e1cc43479fee90f993e8
SHA512: 4147e3bca010fd4dbcd9715edb9a4d89a763f87784a7136098c492916d754b6c3378a5ec54d96372dbba9a80a53b8e27e57d47b251ed0f38b864c773d64945f8
Homepage: http://dlib.net/
Description-en: C++ toolkit for machine learning and computer vision - models
Dlib is a general purpose cross-platform open source software library written
in the C++ programming language. It now contains software components for
dealing with networking, threads, graphical interfaces, complex data
structures, linear algebra, statistical machine learning, image processing,
data mining, XML and text parsing, numerical optimization, Bayesian networks,
and numerous other tasks.
.
This package contains the trained models provided with dlib.
Description-md5: d935692602eb81c14d3befe0cc5f20f2