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Commit 5e1e994e authored by Guillaume HEUSCH's avatar Guillaume HEUSCH
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[databases] added high level interface for maskattack (3DMAD) database

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1 merge request!72Add maskattack db
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
import os
import numpy as np
import bob.io.video
from bob.bio.video import FrameSelector, FrameContainer
from bob.pad.face.database import VideoPadFile # Used in MsuMfsdPadFile class
from bob.pad.base.database import PadDatabase
class MaskAttackPadFile(VideoPadFile):
"""
A high level implementation of the File class for the 3DMAD database.
"""
def __init__(self, f):
"""
**Parameters:**
``f`` : :py:class:`object`
An instance of the File class defined in the low level db interface
of the 3DMAD database, in the bob.db.maskattack.models.py file.
"""
self.f = f
if f.is_real():
attack_type = None
else:
attack_type = 'mask'
super(MaskAttackPadFile, self).__init__(
client_id=f.client_id,
path=f.path,
attack_type=attack_type,
file_id=f.id)
#==========================================================================
def load(self, directory=None, extension='.avi', frame_selector=FrameSelector(selection_style='all')):
"""
Overridden version of the load method defined in the ``VideoPadFile``.
**Parameters:**
``directory`` : :py:class:`str`
String containing the path to the MSU MFSD database.
Default: None
``extension`` : :py:class:`str`
Extension of the video files in the MSU MFSD database.
Note: ``extension`` value is not used in the code of this method.
Default: None
``frame_selector`` : ``FrameSelector``
The frame selector to use.
**Returns:**
``video_data`` : FrameContainer
Video data stored in the FrameContainer, see ``bob.bio.video.utils.FrameContainer``
for further details.
"""
vfilename = self.make_path(directory, extension)
video = bob.io.video.reader(vfilename)
video_data_array = video.load()
return frame_selector(video_data_array)
#==============================================================================
class MaskAttackPadDatabase(PadDatabase):
"""
A high level implementation of the Database class for the 3DMAD database.
"""
def __init__(
self,
protocol=None,
original_directory=None,
original_extension='.avi',
**kwargs):
"""
**Parameters:**
``protocol`` : :py:class:`str` or ``None``
The name of the protocol that defines the default experimental setup for this database.
``original_directory`` : :py:class:`str`
The directory where the original data of the database are stored.
``original_extension`` : :py:class:`str`
The file name extension of the original data.
``kwargs``
The arguments of the :py:class:`bob.bio.base.database.BioDatabase` base class constructor.
"""
from bob.db.maskattack import Database as LowLevelDatabase
self.db = LowLevelDatabase()
# Since the high level API expects different group names than what the low
# level API offers, you need to convert them when necessary
self.low_level_group_names = (
'world', 'dev',
'test') # group names in the low-level database interface
self.high_level_group_names = (
'train', 'dev',
'eval') # names are expected to be like that in objects() function
# Always use super to call parent class methods.
super(MaskAttackPadDatabase, self).__init__(
name='maskattack',
protocol=protocol,
original_directory=original_directory,
original_extension=original_extension,
**kwargs)
@property
def original_directory(self):
return self.db.original_directory
@original_directory.setter
def original_directory(self, value):
self.db.original_directory = value
#==========================================================================
def objects(self,
groups=None,
protocol=None,
purposes=None,
model_ids=None,
**kwargs):
"""
This function returns lists of MaskAttackPadFile objects, which fulfill the given restrictions.
Keyword parameters:
``groups`` : :py:class:`str`
OR a list of strings.
The groups of which the clients should be returned.
Usually, groups are one or more elements of ('train', 'dev', 'eval')
``protocol`` : :py:class:`str`
The protocol for which the clients should be retrieved.
Note: this argument is not used in the code, because ``objects`` method of the
low-level BD interface of the MSU MFSD doesn't have ``protocol`` argument.
``purposes`` : :py:class:`str`
OR a list of strings.
The purposes for which File objects should be retrieved.
Usually it is either 'real' or 'attack'.
``model_ids``
This parameter is not supported in PAD databases yet.
**Returns:**
``files`` : [MsuMfsdPadFile]
A list of MsuMfsdPadFile objects.
"""
# Convert group names to low-level group names here.
groups = self.convert_names_to_lowlevel(
groups, self.low_level_group_names, self.high_level_group_names)
# Since this database was designed for PAD experiments, nothing special
# needs to be done here.
#print("Objects method called with groups = {}, protocol = {}, purposes = {}, model_ids = {}".format(groups, protocol, purposes, model_ids))
#print("Kwargs -> {}".format(**kwargs))
#print("Translated groups = {}".frima)
if groups is not None:
# for training
lowlevel_purposes = []
if 'world' in groups and purposes == 'real':
lowlevel_purposes.append('trainReal')
if 'world' in groups and purposes == 'attack':
lowlevel_purposes.append('trainMask')
# for dev and eval
if ('dev' in groups or 'test' in groups) and purposes == 'real':
lowlevel_purposes.append('classifyReal')
if ('dev' in groups or 'test' in groups) and purposes == 'attack':
lowlevel_purposes.append('classifyMask')
files = self.db.objects(sets=groups, purposes=lowlevel_purposes, **kwargs)
files = [MaskAttackPadFile(f) for f in files]
return files
#==========================================================================
def annotations(self, file):
"""
Return annotations for a given file object ``f``, which is an instance
of ``MsuMfsdPadFile`` defined in the HLDI of the MSU MFSD DB.
The ``load()`` method of ``MsuMfsdPadFile`` class (see above)
returns a video, therefore this method returns bounding-box annotations
for each video frame. The annotations are returned as dictionary of dictionaries.
**Parameters:**
``f`` : :py:class:`object`
An instance of ``MsuMfsdPadFile`` defined above.
**Returns:**
``annotations`` : :py:class:`dict`
A dictionary containing the annotations for each frame in the video.
Dictionary structure: ``annotations = {'1': frame1_dict, '2': frame1_dict, ...}``.
Where ``frameN_dict = {'topleft': (row, col), 'bottomright': (row, col)}``
is the dictionary defining the coordinates of the face bounding box in frame N.
"""
return None
#annots = f.f.bbx(
# directory=self.original_directory
#) # numpy array containing the face bounding box data for each video frame, returned data format described in the f.bbx() method of the low level interface
#annotations = {} # dictionary to return
#for frame_annots in annots:
# topleft = (np.int(frame_annots[2]), np.int(frame_annots[1]))
# bottomright = (np.int(frame_annots[2] + frame_annots[4]),
# np.int(frame_annots[1] + frame_annots[3]))
# annotations[str(np.int(frame_annots[0]))] = {
# 'topleft': topleft,
# 'bottomright': bottomright
# }
#return annotations
#def model_with_ids_protocol(groups=None, protocol=None):
# pass
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