How to Install and Uninstall python3-vigra Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: December 29,2024
1. Install "python3-vigra" package
This guide covers the steps necessary to install python3-vigra on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
python3-vigra
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2. Uninstall "python3-vigra" package
Please follow the guidelines below to uninstall python3-vigra on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
python3-vigra
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-vigra package on Ubuntu 20.10 (Groovy Gorilla)
Package: python3-vigra
Architecture: amd64
Version: 1.11.1+dfsg-7ubuntu5
Priority: optional
Section: universe/python
Source: libvigraimpex
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 30639
Depends: libvigraimpex11 (= 1.11.1+dfsg-7ubuntu5), python3 (<< 3.9), python3 (>= 3.8~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3:any, libboost-python1.71.0, libboost-python1.71.0-py38, libc6 (>= 2.29), libfftw3-single3 (>= 3.3.5), libgcc-s1 (>= 3.0), libhdf5-103-1, libhdf5-hl-100, libstdc++6 (>= 9)
Suggests: python3-h5py, python-vigra-doc
Filename: pool/universe/libv/libvigraimpex/python3-vigra_1.11.1+dfsg-7ubuntu5_amd64.deb
Size: 4151924
MD5sum: b44c7b624dc27f12c6307be5a901da0d
SHA1: a5d6b513f65bb26558c2c7abbee5fa686e9a2f80
SHA256: 7e7699ced5f35d8a1daac8c6c26a19f977b2da3bc4c566420f0f62512302094e
SHA512: 3b8783ad6235d39482432cdc8dfcca7ab401197f91aedcccb934fb4c27fffcf493270f40df397cc0f23b88d9a3070aa720a2078c7743bb659ae2ad4bb596bc49
Homepage: https://ukoethe.github.io/vigra/
Description-en: Python3 bindings for the 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.
.
This package exports the functionality of the VIGRA library to Python3.
Description-md5: afb53d77d5d8d2f2ce7e51df4968a131
Architecture: amd64
Version: 1.11.1+dfsg-7ubuntu5
Priority: optional
Section: universe/python
Source: libvigraimpex
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 30639
Depends: libvigraimpex11 (= 1.11.1+dfsg-7ubuntu5), python3 (<< 3.9), python3 (>= 3.8~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3:any, libboost-python1.71.0, libboost-python1.71.0-py38, libc6 (>= 2.29), libfftw3-single3 (>= 3.3.5), libgcc-s1 (>= 3.0), libhdf5-103-1, libhdf5-hl-100, libstdc++6 (>= 9)
Suggests: python3-h5py, python-vigra-doc
Filename: pool/universe/libv/libvigraimpex/python3-vigra_1.11.1+dfsg-7ubuntu5_amd64.deb
Size: 4151924
MD5sum: b44c7b624dc27f12c6307be5a901da0d
SHA1: a5d6b513f65bb26558c2c7abbee5fa686e9a2f80
SHA256: 7e7699ced5f35d8a1daac8c6c26a19f977b2da3bc4c566420f0f62512302094e
SHA512: 3b8783ad6235d39482432cdc8dfcca7ab401197f91aedcccb934fb4c27fffcf493270f40df397cc0f23b88d9a3070aa720a2078c7743bb659ae2ad4bb596bc49
Homepage: https://ukoethe.github.io/vigra/
Description-en: Python3 bindings for the 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.
.
This package exports the functionality of the VIGRA library to Python3.
Description-md5: afb53d77d5d8d2f2ce7e51df4968a131