Tools for running face recognition experiments
Project description
Run face recognition algorithms
This package is part of the signal-processing and machine learning toolbox
Bob.
This package is part of the bob.bio packages, which allow to run
comparable and reproducible biometric recognition experiments on publicly
available datasets.
This package contains functionality to run face recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. In this package, utilities that are specific for face recognition are contained, such as:
- Image databases
- Image preprocesors, including face detection and facial image alignment
- Image feature extractors
- Recognition algorithms based on image features
Installation
Complete Bob's installation instructions. Then, to install this package, run:
conda install bob.bio.face
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bob_bio_face-8.0.1.tar.gz.
File metadata
- Download URL: bob_bio_face-8.0.1.tar.gz
- Upload date:
- Size: 2.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
96cc76b504a0f1cc87c76119588ab3412e703287340293418b097cb5704f30ec
|
|
| MD5 |
95d59071b6b29561a1f514d2ed9ec413
|
|
| BLAKE2b-256 |
47c51721fa1b0c1199317f0ab567b0404cd662783cb6f20ba54c2589db8989e3
|
File details
Details for the file bob.bio.face-8.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: bob.bio.face-8.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
63bd946dfa300ec826c62532394f8f4f36d04ef5c83e228e83ef34fdd7491d53
|
|
| MD5 |
d5b9bb33fd9483803f594d3adf86ca7c
|
|
| BLAKE2b-256 |
9596cc972842189a72a002e513a6cec4c2dbd540ceb4f848c6eceaf70d45a760
|
