UVAD Database Access in Bob

This package provides an interface to the Unicamp Video-Attack Database (UVAD) database. The original data files need to be downloaded separately. After you have downloaded the dataset, you need to configure bob.db.uvad to find the dataset:

$ bob config set bob.db.uvad.directory /path/to/downloaded/dataset

If you use this database, please cite the following publication:

@ARTICLE{7017526,
author={Pinto, A. and Robson Schwartz, W. and Pedrini, H. and De Rezende Rocha, A.},
journal={Information Forensics and Security, IEEE Transactions on},
title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},
year={2015},
month={May},
volume={10},
number={5},
pages={1025-1038},
keywords={Authentication;Biometrics (access control);Databases;Face;Feature extraction;Histograms;Noise;Unicamp Video-Attack Database;Video-based Face Spoofing;Video-based face spoofing;Visual Rhythm, Video-based Attacks;impersonation detection in facial biometric systems;unicamp video-attack database;video-based attacks;visual rhythm},
doi={10.1109/TIFS.2015.2395139},
ISSN={1556-6013},}

Package Documentation

bob.db.uvad.UVAD_FRAME_SHAPE = (3, 720, 1024)

Shape of the video frames in the uvad database.

bob.db.uvad.get_config()

Returns a string containing the configuration information.

class bob.db.uvad.Database(original_directory=None, name='uvad', pad_file_class=None, original_extension=None, **kwargs)

Bases: bob.pad.base.database.FileListPadDatabase

The database interface for the OULU-NPU dataset.

annotations(padfile)

Reads the annotations for the given padfile.

Parameters:padfile (File) – The file object for which the annotations should be read. Returns:The annotations as a dictionary, e.g.: {'0': {'reye':(re_y,re_x), 'leye':(le_y,le_x)}, ...} Return type:dict

frame_shape

frames(padfile)

number_of_frames(padfile)

objects(groups=None, protocol=None, purposes=None, model_ids=None, classes=None, **kwargs)

class bob.db.uvad.File(attack_type, client_id, path, file_id=None)

Bases: bob.pad.face.database.VideoPadFile

The file objects of the OULU-NPU dataset.

annotations

frame_shape

Returns the size of each frame in this database.

Returns:The (#Channels, Height, Width) which is UVAD_FRAME_SHAPE. Return type:(int, int, int)

frames

Yields the frames of the biofile one by one.

Yields:numpy.array – A frame of the video. The size is (3, 1920, 1080).

number_of_frames

Returns the number of frames in a video file.

Returns:The number of frames. Return type:int