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.
12 maintainers
Release files for bob.ip.optflow.hornschunck 2.0.19
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| bob.ip.optflow.hornschunck-2.0.19.zip | 60.4 kB | Details |
Release files / bob.ip.optflow.hornschunck-2.0.19.zip
| Download URL | bob.ip.optflow.hornschunck-2.0.19.zip |
|---|---|
| Size | 60.4 kB |
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