How to Install and Uninstall libopengv-doc Package on Ubuntu 24.04 LTS (Noble Numbat)
Last updated: December 27,2024
1. Install "libopengv-doc" package
This guide covers the steps necessary to install libopengv-doc on Ubuntu 24.04 LTS (Noble Numbat)
$
sudo apt update
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$
sudo apt install
libopengv-doc
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2. Uninstall "libopengv-doc" package
Please follow the guidelines below to uninstall libopengv-doc on Ubuntu 24.04 LTS (Noble Numbat):
$
sudo apt remove
libopengv-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libopengv-doc package on Ubuntu 24.04 LTS (Noble Numbat)
Package: libopengv-doc
Architecture: all
Version: 1.0+1git91f4b1-7build2
Priority: optional
Section: universe/libdevel
Source: opengv
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7252
Filename: pool/universe/o/opengv/libopengv-doc_1.0+1git91f4b1-7build2_all.deb
Size: 794702
MD5sum: 2cca31fb6f6f57a02eb54f61108ee231
SHA1: c54351b293593da4077d7a59d28585bb9f964c2a
SHA256: 7356403699d54f9d9c176563a2c91704b97097b022468affb33b091d651f4f0c
SHA512: 344c31daab0b9737a615edee17abee34713253914545ab0ae3d9cc3067da26d1f0388a6dbf9351f7129f69eaf5c86ddcee74080ef22896751c3fae3bfff16ce3
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 35dba6a1e6a79ae4d086c504cfa4a056
Architecture: all
Version: 1.0+1git91f4b1-7build2
Priority: optional
Section: universe/libdevel
Source: opengv
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7252
Filename: pool/universe/o/opengv/libopengv-doc_1.0+1git91f4b1-7build2_all.deb
Size: 794702
MD5sum: 2cca31fb6f6f57a02eb54f61108ee231
SHA1: c54351b293593da4077d7a59d28585bb9f964c2a
SHA256: 7356403699d54f9d9c176563a2c91704b97097b022468affb33b091d651f4f0c
SHA512: 344c31daab0b9737a615edee17abee34713253914545ab0ae3d9cc3067da26d1f0388a6dbf9351f7129f69eaf5c86ddcee74080ef22896751c3fae3bfff16ce3
Homepage: https://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 35dba6a1e6a79ae4d086c504cfa4a056