How to Install and Uninstall libvigraimpex11 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)
Last updated: January 23,2025
Deprecated! Installation of this package may no longer be supported.
Notice
You can also install and uninstall the libvigraimpex11 on the following distributions in the same way, as they are all based on the Ubuntu system
- Kubuntu 22.04 LTS
- Lubuntu 22.04 LTS
- Xubuntu 22.04 LTS
- Ubuntu MATE 22.04 LTS
- Ubuntu Studio 22.04 LTS
- Pop!_OS 22.04 LTS
- Zorin OS 16 / Zorin OS 17
- Ubuntu Budgie 22.04
1. Install "libvigraimpex11" package
This tutorial shows how to install libvigraimpex11 on Ubuntu 22.04 LTS (Jammy Jellyfish)
$
sudo apt update
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$
sudo apt install
libvigraimpex11
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2. Uninstall "libvigraimpex11" package
Please follow the guidelines below to uninstall libvigraimpex11 on Ubuntu 22.04 LTS (Jammy Jellyfish):
$
sudo apt remove
libvigraimpex11
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$
sudo apt autoclean && sudo apt autoremove
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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
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