NUAA Face Spoofing Attack Database Access API for Bob
The NUAA database is a spoofing attack database which consists of real accesses and only printed photo attacks. There are three versions of the database: version composed of raw images, version composed of the cropped faces detected in the images and version composed of 64x64 normalized faces detected in the images. There are only train and test set defined.
The actual raw data for the database should be downloaded from the original URL. This package only contains the Bob accessor methods to use the DB directly from python, with our certified protocols.
1. X. Tan, Y. Li, J. Liu, L. Jiang: "Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model", Proceedings of 11th European Conference on Computer Vision (ECCV'10), Crete, Greece, September 2010; p.9-11
You would normally not install this package unless you are maintaining it. What you would do instead is to tie it in at the package you need to use it. There are a few ways to achieve this:
The package is available in two different distribution formats:
You can mix and match points 1/2 and a/b above based on your requirements. Here are some examples:
That is the easiest. Edit your setup.py in your satellite package and add the following entry in the install_requires section (note: ... means whatever extra stuff you may have in-between, don’t put that on your script):
install_requires=[ ... "xbob.db.nuaa", ],
Proceed normally with your boostrap/buildout steps and you should be all set. That means you can now import the namespace xbob.db.nuaa into your scripts.
You will need to add a dependence to mr.developer to be able to install from our git repositories. Your buildout.cfg file should contain the following lines:
[buildout] ... extensions = mr.developer auto-checkout = * eggs = bob ... xbob.db.nuaa [sources] xbob.db.nuaa = git https://github.com/bioidiap/xbob.db.nuaa.git ...