with the selected classifier
zc.buildout recipes to perform a variety of tasks required by Bob satellite packages
CASME2 Database Access API for Bob
Running the experiments as described in the boock chapter "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey"
Wrapper classes to use the PythonFaceEvaluation classes from the CSU Face Recognition Resources
Running the face recognition experiments as given in paper: "An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms".
Running the experiments as given in paper:
Source code to reproduce the paper "Impact of Eye Detection Error on Face Recognition Performance"
Basic example of a Reproducible Research Project in Python/Bob
Compare a variety of face recognition algorithms by running them on many image databases with default protocols.
Running the competition results: "The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks".
Utility package for anti-spoofing countermeasures
Bob's audio processing utilities
Tools for running biometric recognition experiments
Face Feature extraction using caffe pre-trained models
Tools for running face recognition experiments
Tools for running biometric recognition experiments using GMM-based approximation
This package contains the scripts to reproduce the experiments of the 2nd Cross-Spectrum Iris/Periocular Recognition competition
Tools for running speaker recognition experiments
Vein Recognition Library