Run video face recognition algorithms
This package is part of the signal-processing and machine learning toolbox Bob. This package contains functionality to run video face recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. In this package, wrapper classes are provide, which allow to run traditional image-based face recognition algorithms on video data.
Installation
Complete Bob's installation instructions. Then, to install this package, run:
conda install bob.bio.video
Contact
For questions or reporting issues to this software package, contact our development mailing list.
10 maintainers
Release files for bob.bio.video 7.0.1
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_bio_video-7.0.1.tar.gz | 22.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.bio.video-7.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 38.3 kB
Release files / bob_bio_video-7.0.1.tar.gz
| Download URL | bob_bio_video-7.0.1.tar.gz |
|---|---|
| Size | 22.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.10.14
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Release files / bob.bio.video-7.0.1-py2.py3-none-any.whl
| Download URL | bob.bio.video-7.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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