.. vim: set fileencoding=utf-8 : .. Wed 17 Aug 15:48:07 CEST 2016
.. image:: https://img.shields.io/badge/docs-v4.1.0-orange.svg :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.facedetect/v4.1.0/index.html .. image:: https://gitlab.idiap.ch/bob/bob.ip.facedetect/badges/v4.1.0/pipeline.svg :target: https://gitlab.idiap.ch/bob/bob.ip.facedetect/commits/v4.1.0 .. image:: https://gitlab.idiap.ch/bob/bob.ip.facedetect/badges/v4.1.0/coverage.svg :target: https://gitlab.idiap.ch/bob/bob.ip.facedetect/commits/v4.1.0 .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg :target: https://gitlab.idiap.ch/bob/bob.ip.facedetect
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.
Complete Bob's installation_ instructions. Then, to install this package,
run::
$ conda install bob.ip.facedetect
For questions or reporting issues to this software package, contact our
development mailing list_.
.. Place your references here: .. _bob: https://www.idiap.ch/software/bob .. _installation: https://www.idiap.ch/software/bob/install .. _mailing list: https://www.idiap.ch/software/bob/discuss
FAQs
Face detection using boosted LBP features
We found that bob.ip.facedetect demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 10 open source maintainers collaborating on the project.
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