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==================================================================
Implementation of Horn & Schunck's Optical Flow Framework for Bob
==================================================================
This package is part of the signal-processing and machine learning toolbox
Bob_. It contains a simple Python wrapper to an open-source Optical Flow
estimator based on the works by `Horn & Schunck`_::
@article{Horn_Schunck_1981,
author = {Horn, B. K. P. and Schunck, B. G.},
title = {Determining optical flow},
year = {1981},
booktitle = {Artificial Intelligence},
volume = {17},
pages = {185--203},
}
Installation
------------
Complete Bob's `installation`_ instructions. Then, to install this package,
run::
$ conda install bob.ip.optflow.hornschunck
Contact
-------
For questions or reporting issues to this software package, contact our
development `mailing list`_.
.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://www.idiap.ch/software/bob/discuss
.. Mon 15 Aug 2016 18:33:46 CEST
.. image:: http://img.shields.io/badge/docs-v2.0.15-yellow.svg
:target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.optflow.hornschunck/v2.0.15/index.html
.. image:: http://img.shields.io/badge/docs-latest-orange.svg
:target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.optflow.hornschunck/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.optflow.hornschunck/badges/v2.0.15/build.svg
:target: https://gitlab.idiap.ch/bob/bob.ip.optflow.hornschunck/commits/v2.0.15
.. image:: https://gitlab.idiap.ch/bob/bob.ip.optflow.hornschunck/badges/v2.0.15/coverage.svg
:target: https://gitlab.idiap.ch/bob/bob.ip.optflow.hornschunck/commits/v2.0.15
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
:target: https://gitlab.idiap.ch/bob/bob.ip.optflow.hornschunck
.. image:: http://img.shields.io/pypi/v/bob.ip.optflow.hornschunck.svg
:target: https://pypi.python.org/pypi/bob.ip.optflow.hornschunck
==================================================================
Implementation of Horn & Schunck's Optical Flow Framework for Bob
==================================================================
This package is part of the signal-processing and machine learning toolbox
Bob_. It contains a simple Python wrapper to an open-source Optical Flow
estimator based on the works by `Horn & Schunck`_::
@article{Horn_Schunck_1981,
author = {Horn, B. K. P. and Schunck, B. G.},
title = {Determining optical flow},
year = {1981},
booktitle = {Artificial Intelligence},
volume = {17},
pages = {185--203},
}
Installation
------------
Complete Bob's `installation`_ instructions. Then, to install this package,
run::
$ conda install bob.ip.optflow.hornschunck
Contact
-------
For questions or reporting issues to this software package, contact our
development `mailing list`_.
.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://www.idiap.ch/software/bob/discuss
Release files for bob.ip.optflow.hornschunck 2.0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob.ip.optflow.hornschunck-2.0.15.zip | 59.2 kB | Details |
Release files / bob.ip.optflow.hornschunck-2.0.15.zip
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|---|---|
| Size | 59.2 kB |
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