Face Detection using a Cascade of Boosted LBP Features
This package is part of the signal-processing and machine learning toolbox Bob. It contains a face detector utility that provides source code for detecting faces using a cascade of boosted LBP features. It is a re-implementation of the Visioner that was part of Bob version 1. A pre-trained cascade is included into this package, but also source code to re-train the cascade based on your training images is provided.
Installation
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ python bootstrap-buildout.py
$ ./bin/buildoutContact
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