1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.
This package provides the source code to run the experiments published in the paper An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms. It relies on the FaceRecLib to execute all face recognition experiments. Most of the face recognition algorithms are implemented in Bob, while one of them is taken from the CSU Face Recognition Resources.
Installation
The installation of this package relies on the BuildOut system. By default, the command line sequence:
$ python bootstrap.py $ bin/buildout
should download and install most requirements, including the FaceRecLib, the Database interface packages for the BANCA database and the Good, the Bad & the Ugly database, and, finally, the Wrapper classes for the CSU Face Recognition Resources. Unfortunately, some packages must be installed manually:
Bob
To install the Bob toolkit, please visit http://www.idiap.ch/software/bob/ and follow the installation instructions. Please verify that you have at least version 1.2.0 of Bob installed. If you have installed Bob in a non-standard directory, please open the buildout.cfg file from the base directory and set the ‘prefixes’ directory accordingly.
CSU Face Recognition Resources
Due to the fact that the CSU toolkit needs to be patched to work with the FaceRecLib, the setup is unfortunately slightly more complicated. To be able to run the experiments based on the CSU toolkit, i.e., the LDA-IR algorithm, please download the CSU Face Recognition Resources from http://www.cs.colostate.edu/facerec. After unpacking the CSU toolkit, it needs to be patched. For this reason, please follow the instructions:
Patch the CSU toolkit:
$ bin/buildout -c buildout-before-patch.cfg $ bin/patch_CSU.py [YOUR_CSU_SOURCE_DIRECTORY]
Update the buildout.cfg file by modifying the sources-dir = [YOUR_CSU_SOURCE_DIRECTORY] entry to point to the base directory of the patched version of the CSU toolkit.
Make sure that you update your installation by again calling:
$ bin/buildout
Databases
Of course, we are not allowed to re-distribute the original images to run the experiments on. To re-run the experiments, please make sure to have your own copy of the BANCA and the Good, the Bad & the Ugly images.
Documentation
After installing you might want to create the documentation for this satellite package, which includes more detailed information on how to re-run the experiments and regenerate the scientific plots from the paper. To generate and open the documentation execute:
$ bin/sphinx-build docs sphinx $ firefox sphinx/index.html
Of course, you can use any web browser of your choice.
Getting help
In case anything goes wrong, please feel free to open a new ticket in our GitHub page, or send an email to manuel.guenther@idiap.ch.
Cite our paper
If you use the FaceRecLib or this package in any of your experiments, please cite the following paper:
@inproceedings{Guenther_BeFIT2012,
author = {G{\"u}nther, Manuel AND Wallace, Roy AND Marcel, S{\'e}bastien},
editor = {Fusiello, Andrea AND Murino, Vittorio AND Cucchiara, Rita},
keywords = {Biometrics, Face Recognition, Open Source, Reproducible Research},
month = oct,
title = {An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms},
booktitle = {Computer Vision - ECCV 2012. Workshops and Demonstrations},
series = {Lecture Notes in Computer Science},
volume = {7585},
year = {2012},
pages = {547-556},
publisher = {Springer Berlin},
location = {Heidelberg},
url = {http://publications.idiap.ch/downloads/papers/2012/Gunther_BEFIT2012_2012.pdf}
}
10 maintainers
Metadata
10 maintainers
Release files for xfacereclib.paper.BeFIT2012 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release files before installing.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| xfacereclib.paper.BeFIT2012-1.0.0.zip | 136.8 kB | Without provenance | Details for xfacereclib.paper.BeFIT2012-1.0.0.zip |
Release files / xfacereclib.paper.BeFIT2012-1.0.0.zip
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | xfacereclib.paper.BeFIT2012-1.0.0.zip |
|---|---|
| Size | 136.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
32f1d614f9edac1ed8f9c70b177d95166eabb868e6b70652159f0ca2997cba39
|
|
BLAKE2b-256 checksum How to use checksums |
81617fa1b0dfc23f0e2ea4f05997af87f8e6a88748265935164ac232123ecfc6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for xfacereclib.paper.BeFIT2012 1.0.0
Upload timing
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
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.
