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 files for bob.bio.face 8.0.1
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_face-8.0.1.tar.gz | 2.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.bio.face-8.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / bob_bio_face-8.0.1.tar.gz
| Download URL | bob_bio_face-8.0.1.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
|
Release files / bob.bio.face-8.0.1-py2.py3-none-any.whl
| Download URL | bob.bio.face-8.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 2.1 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
|