Optical Flow framework based on Horn & Schunck
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bob.ip.optflow.hornschunck-2.0.16.zip.
File metadata
- Download URL: bob.ip.optflow.hornschunck-2.0.16.zip
- Upload date:
- Size: 60.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b17204623e7acc331f4d4e6e82aece40caa29bd393c94e1be4e3bc2784417a77 |
|
| MD5 | a06c2ee5b04c974a2ca8ac4acd41bfc3 |
|
| BLAKE2b-256 | b08ac925c1f182a4776d92da9f8aa68790f6f22e5b8bc0306fcc725c374d7b46 |
