How to Install and Uninstall libopengv1 Package on Ubuntu 22.10 (Kinetic Kudu)
Last updated: November 22,2024
1. Install "libopengv1" package
Please follow the step by step instructions below to install libopengv1 on Ubuntu 22.10 (Kinetic Kudu)
$
sudo apt update
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$
sudo apt install
libopengv1
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2. Uninstall "libopengv1" package
This tutorial shows how to uninstall libopengv1 on Ubuntu 22.10 (Kinetic Kudu):
$
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 22.10 (Kinetic Kudu)
Package: libopengv1
Architecture: amd64
Version: 1.0+1git91f4b1-3
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+1git91f4b1-3_amd64.deb
Size: 676934
MD5sum: c38049eed3101f74720030cd1c8720c2
SHA1: dd0b61865ed8720f760d21f5ebbb415e4357e92e
SHA256: 84f34eba2ff3058a6d34fa8707c465cd24fa4b6113cfebb6742727285c8e446b
SHA512: f4ee08763f505fca6d3075de66621d6a49509a3316fd9a653e0423ce6aa58e5b1dcdb251d4a0928a63cd9f66fb8cb61592f19338ee2570f866d711839465678b
Homepage: http://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0
Architecture: amd64
Version: 1.0+1git91f4b1-3
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+1git91f4b1-3_amd64.deb
Size: 676934
MD5sum: c38049eed3101f74720030cd1c8720c2
SHA1: dd0b61865ed8720f760d21f5ebbb415e4357e92e
SHA256: 84f34eba2ff3058a6d34fa8707c465cd24fa4b6113cfebb6742727285c8e446b
SHA512: f4ee08763f505fca6d3075de66621d6a49509a3316fd9a653e0423ce6aa58e5b1dcdb251d4a0928a63cd9f66fb8cb61592f19338ee2570f866d711839465678b
Homepage: http://laurentkneip.github.io/opengv
Description: Computer vision methods for solving geometric vision problems.
Description-md5: 1b8c42bc0ae1cd282c294127f3e757a0