How to Install and Uninstall libvigraimpex5v5 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 17,2024

1. Install "libvigraimpex5v5" package

Please follow the step by step instructions below to install libvigraimpex5v5 on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libvigraimpex5v5

2. Uninstall "libvigraimpex5v5" package

This tutorial shows how to uninstall libvigraimpex5v5 on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove libvigraimpex5v5 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libvigraimpex5v5 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libvigraimpex5v5
Priority: optional
Section: universe/libs
Installed-Size: 460
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: libvigraimpex
Version: 1.10.0+dfsg-11ubuntu2
Replaces: libvigraimpex5
Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libilmbase12 (>= 1.0.1), libjpeg8 (>= 8c), libopenexr22 (>= 2.2.0), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 5.2), libtiff5 (>= 4.0.3)
Conflicts: libvigraimpex5
Filename: pool/universe/libv/libvigraimpex/libvigraimpex5v5_1.10.0+dfsg-11ubuntu2_amd64.deb
Size: 134922
MD5sum: 484a994fcab7b0c0b7caa5ac86a2de03
SHA1: 5b5319c17502505140665358136a34fec1b440c7
SHA256: bb332d1e9c388cedaca4815e01d09428104ea0c353454cfb7bc73a4fb7547efc
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
Homepage: http://hci.iwr.uni-heidelberg.de/vigra/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m