How to Install and Uninstall libvigraimpex11 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 15,2024

1. Install "libvigraimpex11" package

This tutorial shows how to install libvigraimpex11 on Ubuntu 22.04 LTS (Jammy Jellyfish)

$ sudo apt update $ sudo apt install libvigraimpex11

2. Uninstall "libvigraimpex11" package

Please follow the guidelines below to uninstall libvigraimpex11 on Ubuntu 22.04 LTS (Jammy Jellyfish):

$ sudo apt remove libvigraimpex11 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libvigraimpex11 package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: libvigraimpex11
Architecture: amd64
Version: 1.11.1+dfsg-8ubuntu1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libvigraimpex
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 516
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libhdf5-103-1, libhdf5-hl-100, libilmbase25 (>= 2.5.4), libjpeg8 (>= 8c), libopenexr25 (>= 2.5.4), libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.0)
Filename: pool/universe/libv/libvigraimpex/libvigraimpex11_1.11.1+dfsg-8ubuntu1_amd64.deb
Size: 161908
MD5sum: 6f9d34c2332c0e98627790494590fc3d
SHA1: 8cc9a82efd3fac74b6ef22cbbf0a488a97db9b95
SHA256: ef8f9c1445cdd966f5070a928e7b361f6bea786fd3eef5e24889c2605587bb72
SHA512: 2068732e9824d2b6ddd3ea45cf2c08e837991dd76a3cbffc4315158c47b108105364329dd733d7a4dcde28e39617a9cd84d128c5980fce29b07b44c5b9955101
Homepage: https://ukoethe.github.io/vigra/
Description-en: C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
Description-md5: 4e10b79b88242227a01907ad6c456723