How to Install and Uninstall dlib.i686 Package on Fedora 38
Last updated: November 17,2024
1. Install "dlib.i686" package
Please follow the steps below to install dlib.i686 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
dlib.i686
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2. Uninstall "dlib.i686" package
In this section, we are going to explain the necessary steps to uninstall dlib.i686 on Fedora 38:
$
sudo dnf remove
dlib.i686
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$
sudo dnf autoremove
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3. Information about the dlib.i686 package on Fedora 38
Last metadata expiration check: 4:56:12 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : dlib
Version : 19.24
Release : 7.20220905git65bce59a1.fc38
Architecture : i686
Size : 846 k
Source : dlib-19.24-7.20220905git65bce59a1.fc38.src.rpm
Repository : fedora
Summary : A modern C++ toolkit containing machine learning algorithms
URL : http://dlib.net
License : Boost
Description : Dlib is a general purpose cross-platform open source software library written
: in the C++ programming language. Its design is heavily influenced by ideas from
: design by contract and component-based software engineering. It contains
: components for dealing with networking, threads, graphical user interfaces,
: data structures, linear algebra, machine learning, image processing, data
: mining, XML and text parsing, numerical optimization, Bayesian networks, and
: numerous other tasks.
Available Packages
Name : dlib
Version : 19.24
Release : 7.20220905git65bce59a1.fc38
Architecture : i686
Size : 846 k
Source : dlib-19.24-7.20220905git65bce59a1.fc38.src.rpm
Repository : fedora
Summary : A modern C++ toolkit containing machine learning algorithms
URL : http://dlib.net
License : Boost
Description : Dlib is a general purpose cross-platform open source software library written
: in the C++ programming language. Its design is heavily influenced by ideas from
: design by contract and component-based software engineering. It contains
: components for dealing with networking, threads, graphical user interfaces,
: data structures, linear algebra, machine learning, image processing, data
: mining, XML and text parsing, numerical optimization, Bayesian networks, and
: numerous other tasks.