How to Install and Uninstall libopengv1 Package on Ubuntu 24.04 LTS (Noble Numbat)
Last updated: December 23,2024
1. Install "libopengv1" package
In this section, we are going to explain the necessary steps to install libopengv1 on Ubuntu 24.04 LTS (Noble Numbat)
$
sudo apt update
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$
sudo apt install
libopengv1
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2. Uninstall "libopengv1" package
This is a short guide on how to uninstall libopengv1 on Ubuntu 24.04 LTS (Noble Numbat):
$
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 24.04 LTS (Noble Numbat)
Package: libopengv1
Architecture: amd64
Version: 1.0+1git91f4b1-7build2
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: 2643
Depends: libc6 (>= 2.32), libgcc-s1 (>= 4.0), libstdc++6 (>= 13.1)
Filename: pool/universe/o/opengv/libopengv1_1.0+1git91f4b1-7build2_amd64.deb
Size: 685398
MD5sum: e00bf38537bce02fe00edaff63072221
SHA1: e4c1d17ce6db9d92016895fbf06665520c26903d
SHA256: 56ac91461e506a698b1ab078762513df27a19fedcd738bb107edb27aa15b24fd
SHA512: 95a21b40818d090da2c873ffbac7dfaa53c2d9e6cc8ff245eb42e980aa1d7a672976bb46cca65078b8174e7a8981cb93c7641ce2b0fee4a3c21682949710a483
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0
Architecture: amd64
Version: 1.0+1git91f4b1-7build2
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: 2643
Depends: libc6 (>= 2.32), libgcc-s1 (>= 4.0), libstdc++6 (>= 13.1)
Filename: pool/universe/o/opengv/libopengv1_1.0+1git91f4b1-7build2_amd64.deb
Size: 685398
MD5sum: e00bf38537bce02fe00edaff63072221
SHA1: e4c1d17ce6db9d92016895fbf06665520c26903d
SHA256: 56ac91461e506a698b1ab078762513df27a19fedcd738bb107edb27aa15b24fd
SHA512: 95a21b40818d090da2c873ffbac7dfaa53c2d9e6cc8ff245eb42e980aa1d7a672976bb46cca65078b8174e7a8981cb93c7641ce2b0fee4a3c21682949710a483
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0