How to Install and Uninstall libdlib-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 16,2024

1. Install "libdlib-dev" package

Please follow the guidelines below to install libdlib-dev on Ubuntu 21.04 (Hirsute Hippo)


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

This is a short guide on how to uninstall libdlib-dev on Ubuntu 21.04 (Hirsute Hippo):


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

Package: libdlib-dev
Architecture: amd64
Version: 19.10-3build1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: dlib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 15979
Depends: libdlib19 (= 19.10-3build1)
Filename: pool/universe/d/dlib/libdlib-dev_19.10-3build1_amd64.deb
Size: 1718748
MD5sum: 7858856163fef6b6a65afa99d2fb332c
SHA1: e80f452322a6d596bee323817dc75417bd812d75
SHA256: 31276685ddb4c429739dea9c2b51c23d78ed93d081bd138778b75088f945c49f
SHA512: f301e7234534498bf4e3d4953d53248229a43f4bdd35eb7a49f06fc31f41b71735b2f5cb8be39be430595e5e7182fa1f2d22dd25ec5242fa0bc568826a7f80ff
Homepage: http://dlib.net/
Description-en: C++ toolkit for machine learning and computer vision - development
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 development headers.
Description-md5: 06d0e459404c359168d453d5f3cf7969