How to Install and Uninstall libopengv1 Package on Ubuntu 23.10 (Mantic Minotaur)
Last updated: November 22,2024
1. Install "libopengv1" package
This guide let you learn how to install libopengv1 on Ubuntu 23.10 (Mantic Minotaur)
$
sudo apt update
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$
sudo apt install
libopengv1
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2. Uninstall "libopengv1" package
Please follow the guidelines below to uninstall libopengv1 on Ubuntu 23.10 (Mantic Minotaur):
$
sudo apt remove
libopengv1
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libopengv1 package on Ubuntu 23.10 (Mantic Minotaur)
Package: libopengv1
Architecture: amd64
Version: 1.0+1git91f4b1-7build1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: opengv
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2619
Depends: libc6 (>= 2.32), libgcc-s1 (>= 4.0), libstdc++6 (>= 11)
Filename: pool/universe/o/opengv/libopengv1_1.0+1git91f4b1-7build1_amd64.deb
Size: 676994
MD5sum: 3324f10284e4dc0f5964414619a1866c
SHA1: 52cacdfd2f4fc126964187e13e0d539c374a6157
SHA256: 881dc7f009a26a1bd9b792347fcb2f7b2b124d7f0eddcf28a103dd7370c5a4d5
SHA512: 9fe69e0c0eae06d0d5f03edf9f20400eeaef0f5664cd2d8131c8dfcd4872676db5de1d119110d611150854d48723828db738e61e3d056eb46dd3ac3c84d5a10f
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0
Architecture: amd64
Version: 1.0+1git91f4b1-7build1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: opengv
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2619
Depends: libc6 (>= 2.32), libgcc-s1 (>= 4.0), libstdc++6 (>= 11)
Filename: pool/universe/o/opengv/libopengv1_1.0+1git91f4b1-7build1_amd64.deb
Size: 676994
MD5sum: 3324f10284e4dc0f5964414619a1866c
SHA1: 52cacdfd2f4fc126964187e13e0d539c374a6157
SHA256: 881dc7f009a26a1bd9b792347fcb2f7b2b124d7f0eddcf28a103dd7370c5a4d5
SHA512: 9fe69e0c0eae06d0d5f03edf9f20400eeaef0f5664cd2d8131c8dfcd4872676db5de1d119110d611150854d48723828db738e61e3d056eb46dd3ac3c84d5a10f
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0