How to Install and Uninstall python-opengm Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 26,2024
1. Install "python-opengm" package
Here is a brief guide to show you how to install python-opengm on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-opengm
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2. Uninstall "python-opengm" package
In this section, we are going to explain the necessary steps to uninstall python-opengm on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-opengm
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-opengm package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-opengm
Priority: optional
Section: universe/python
Installed-Size: 34715
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: opengm
Version: 2.3.6-2
Depends: python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libboost-python1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:4.0), libhdf5-10, libstdc++6 (>= 5.2)
Suggests: python-opengm-doc
Filename: pool/universe/o/opengm/python-opengm_2.3.6-2_amd64.deb
Size: 2979746
MD5sum: ef54102189c65b0b68fb7c377cbe1124
SHA1: 3a3636d285ed5da9739a26429e0114876b1bad54
SHA256: 801255d54617a4a92f1ebf4738443a2281d77c6eb2645c77f6a414f8141c40eb
Description-en: Python interface to OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the Python interface to the OpenGM library.
Description-md5: 1e80409d6fbe111d1c748c3ae12e2257
Multi-Arch: same
Homepage: http://hci.iwr.uni-heidelberg.de/opengm2/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/python
Installed-Size: 34715
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: opengm
Version: 2.3.6-2
Depends: python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libboost-python1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:4.0), libhdf5-10, libstdc++6 (>= 5.2)
Suggests: python-opengm-doc
Filename: pool/universe/o/opengm/python-opengm_2.3.6-2_amd64.deb
Size: 2979746
MD5sum: ef54102189c65b0b68fb7c377cbe1124
SHA1: 3a3636d285ed5da9739a26429e0114876b1bad54
SHA256: 801255d54617a4a92f1ebf4738443a2281d77c6eb2645c77f6a414f8141c40eb
Description-en: Python interface to OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the Python interface to the OpenGM library.
Description-md5: 1e80409d6fbe111d1c748c3ae12e2257
Multi-Arch: same
Homepage: http://hci.iwr.uni-heidelberg.de/opengm2/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu