Liu’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 the open-source Optical Flow estimator developed by C. Liu during his Ph.D. The code was originally conceived to operate over Matlab. This is a Python/Bob port. If you use this code, the author asks you to cite his thesis:
@phdthesis{Liu_PHD_2009,
title = {{Beyond Pixels: Exploring New Representations and Applications for Motion Analysis}},
author = {Liu, Ce},
institution = {{Massachusetts Institute of Technology}},
year = {2009},
type = {{Ph.D. Thesis}},
}
Installation
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.ip.optflow.liu
Contact
For questions or reporting issues to this software package, contact our development mailing list.
12 maintainers
Metadata
12 maintainers
Release files for bob.ip.optflow.liu 2.0.18
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.liu-2.0.18.zip | 18.8 MB | Without provenance | Details for bob.ip.optflow.liu-2.0.18.zip |
Release files / bob.ip.optflow.liu-2.0.18.zip
| Download URL | bob.ip.optflow.liu-2.0.18.zip |
|---|---|
| Size | 18.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
116d4d10bec751b03a4f02cb90ad34beeb3c71f08319d941f7b2151f781deed8
|
|
BLAKE2b-256 checksum How to use checksums |
8d76e55af3af570c019ecc6170e787e89f774d20249760d940b9e1abd2c26c2f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200925 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.9
|
Security for bob.ip.optflow.liu 2.0.18
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.
