How to Install and Uninstall libdlib19 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 17,2024

1. Install "libdlib19" package

Please follow the guidelines below to install libdlib19 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdlib19
            
                    
    
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2. Uninstall "libdlib19" package

This guide covers the steps necessary to uninstall libdlib19 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libdlib19
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdlib19 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libdlib19
Architecture: amd64
Version: 19.10-3build1
Multi-Arch: same
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: 5295
Depends: libdlib-data, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 4.0), libjpeg8 (>= 8c), liblapack3 | liblapack.so.3, libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 9)
Filename: pool/universe/d/dlib/libdlib19_19.10-3build1_amd64.deb
Size: 3773208
MD5sum: 311801dd08078955f83713806adf7b86
SHA1: 5aa60e012b27d74ab14cd7bcc859448258006392
SHA256: 6ad59594c73f05c2f54824a7f05166bab4ea714a8970678c79a7620401acf6cd
SHA512: d9888c532fd1e8f80afd1a096c054ab0d051b05714bdcab3fad3510edb2fc4dfce9ce9f23df966b8f11a95cf1ef94d5004865da810234b2271b8af732a5500ef
Homepage: http://dlib.net/
Description-en: C++ toolkit for machine learning and computer vision - library
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.
Description-md5: 59022a5ad4e3cd98a3a9c36b3ccc65a5