Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

Experiment Evaluation Metrics for Bob

Helps projects building Bob/Python C++ extensions

Vein biometrics recognition baselines

Implements tools for spoofing or presentation attack detection in face biometrics.

Basic tools for running spoofing or presentation attack detection (PAD) experiments

A collection of Matlab/GNU Octave functions for robot programming-by-demonstration that combine statistical learning, dynamical systems and optimal control.

Thesis python package from Tiago de Freitas Pereira

Source code and scores for reproducing the experiments and figures of the paper "DeepFakes: a New Threat to Face Recognition? Assessment and Detection"

Tools for development and CI integration of Bob/BEAT packages

Package to reproduce experiments for the paper submitted to the BTAS special session on Image and Video Forensics in Biometrics 2018

Head pose estimation from openpose output