.. 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
Metadata
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 | Provenance | Actions |
|---|---|---|---|---|
| bob.ip.optflow.hornschunck-2.0.15.zip | 59.2 kB | Without provenance | Details for bob.ip.optflow.hornschunck-2.0.15.zip |
Release files / bob.ip.optflow.hornschunck-2.0.15.zip
| Download URL | bob.ip.optflow.hornschunck-2.0.15.zip |
|---|---|
| Size | 59.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a25d200da0f6ed6b8f31953432443b6803e77d957da27e87c799b83599a6fc06
|
|
BLAKE2b-256 checksum How to use checksums |
39bb0ddea4a442cf5d4092796ea869c4150fcedc6443dad92fb4c45464180ed5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for bob.ip.optflow.hornschunck 2.0.15
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.