How to Install and Uninstall libopengv-doc Package on Ubuntu 22.10 (Kinetic Kudu)
Last updated: November 26,2024
1. Install "libopengv-doc" package
Please follow the instructions below to install libopengv-doc on Ubuntu 22.10 (Kinetic Kudu)
$
sudo apt update
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$
sudo apt install
libopengv-doc
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2. Uninstall "libopengv-doc" package
This is a short guide on how to uninstall libopengv-doc on Ubuntu 22.10 (Kinetic Kudu):
$
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 22.10 (Kinetic Kudu)
Package: libopengv-doc
Architecture: all
Version: 1.0+1git91f4b1-3
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: 6959
Filename: pool/universe/o/opengv/libopengv-doc_1.0+1git91f4b1-3_all.deb
Size: 732402
MD5sum: a234d79651b26e056c3c9fdebf98a349
SHA1: 5cb9053c151670b0b3790d9deb9d225c20f9f5ca
SHA256: d5e4969024037b7d876d154408f079d412219f3fdfabba0d870e6d5fac60010a
SHA512: 2561adc339940044e604ff10fa0790ecf083e1473c8039d4ab0f4a56f223891d9e179d0e6599ee7daec9777ddff29afc882a0f043d58b059afe96b200fa953db
Homepage: http://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 35dba6a1e6a79ae4d086c504cfa4a056
Architecture: all
Version: 1.0+1git91f4b1-3
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: 6959
Filename: pool/universe/o/opengv/libopengv-doc_1.0+1git91f4b1-3_all.deb
Size: 732402
MD5sum: a234d79651b26e056c3c9fdebf98a349
SHA1: 5cb9053c151670b0b3790d9deb9d225c20f9f5ca
SHA256: d5e4969024037b7d876d154408f079d412219f3fdfabba0d870e6d5fac60010a
SHA512: 2561adc339940044e604ff10fa0790ecf083e1473c8039d4ab0f4a56f223891d9e179d0e6599ee7daec9777ddff29afc882a0f043d58b059afe96b200fa953db
Homepage: http://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 35dba6a1e6a79ae4d086c504cfa4a056