Bob¶
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, Switzerland.
The toolbox is written in a mix of Python and C++ and is designed to be both efficient and reduce development time. It is composed of a reasonably large number of packages that implement tools for image, audio & video processing, machine learning and pattern recognition.
Bob is organized in several independent python packages. Below you can find the list of all packages organized by category with their respectives documentation and building status.
Basic Functionality¶
Data Input and Output¶
Signal, Audio, Image and Video Processing¶
- Bob’s Signal Processing Routines
- Bob’s Audio Processing Routines
- Bob’s Basic Image Processing Routines
- Bob’s Color Conversion Routines
- Bob’s Drawing Routines
- Bob’s Gabor wavelet routines
- Bob’s Face Detection Routines
- Python Bindings to Liu’s Optical Flow Framework
- Python Bindings to Horn & Schunck’s Optical Flow Framework