Python Bindings to Flandmark
This package is a simple Python wrapper to the (rather quick) open-source facial landmark detector Flandmark, version 1.0.7 (or the github state as of 10/february/2013). If you use this package, the author asks you to cite the following paper:
@inproceedings{Uricar-Franc-Hlavac-VISAPP-2012,
author = {U{\v{r}}i{\v{c}}{\'{a}}{\v{r}}, Michal and Franc, Vojt{\v{e}}ch and Hlav{\'{a}}{\v{c}}, V{\'{a}}clav},
title = {Detector of Facial Landmarks Learned by the Structured Output {SVM}},
year = {2012},
pages = {547-556},
booktitle = {VISAPP '12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications},
editor = {Csurka, Gabriela and Braz, Jos{\'{e}}},
publisher = {SciTePress --- Science and Technology Publications},
address = {Portugal},
volume = {1},
isbn = {978-989-8565-03-7},
book_pages = {747},
month = {February},
day = {24-26},
venue = {Rome, Italy},
keywords = {Facial Landmark Detection, Structured Output Classification, Support Vector Machines, Deformable Part Models},
prestige = {important},
authorship = {50-40-10},
status = {published},
project = {FP7-ICT-247525 HUMAVIPS, PERG04-GA-2008-239455 SEMISOL, Czech Ministry of Education project 1M0567},
www = {http://www.visapp.visigrapp.org},
}You should also cite Bob, as a core framework, in which these bindings are based on:
@inproceedings{Anjos_ACMMM_2012,
author = {A. Anjos AND L. El Shafey AND R. Wallace AND M. G\"unther AND C. McCool AND S. Marcel},
title = {Bob: a free signal processing and machine learning toolbox for researchers},
year = {2012},
month = oct,
booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},
publisher = {ACM Press},
url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},
}Installation
Install it through normal means, via PyPI or use zc.buildout to bootstrap
the package and run test units.
Documentation
You can generate the documentation for this package, after installation, using Sphinx:
$ sphinx-build -b html doc sphinxThis shall place in the directory sphinx, the current version for the
documentation of the package.
Testing
You can run a set of tests using the nose test runner:
$ nosetests -sv xbob.apWarning
If Bob <= 1.2.1 is installed on your python path, nose will automatically load the old version of the insulate plugin available in Bob, which will trigger the loading of incompatible shared libraries (from Bob itself), in to your working binary. This will cause a stack corruption. Either remove the centrally installed version of Bob, or build your own version of Python in which Bob <= 1.2.1 is not installed.
You can run our documentation tests using sphinx itself:
$ sphinx-build -b doctest doc sphinxYou can test overall test coverage with:
$ nosetests --with-coverage --cover-package=xbob.ip.flandmarkThe coverage egg must be installed for this to work properly.
Development
To develop this package, install using zc.buildout, using the buildout
configuration found on the root of the package:
$ python bootstrap.py
...
$ ./bin/buildoutTweak the options in buildout.cfg to disable/enable verbosity and debug
builds.