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Commit d229f149 authored by Samuel GAIST's avatar Samuel GAIST
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[advanced][databases][lfw] Add new version following V2 implementation

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{
"description": "The Labeled Faces in the Wild Database",
"root_folder": "/idiap/resource/database/lfw/all_images",
"protocols": [
{
"name": "view1",
"template": "simple_face_recognition_textid/1",
"views": {
"train": {
"view": "Train",
"parameters": {
"protocol": "view1"
}
},
"templates": {
"view": "Templates",
"parameters": {
"protocol": "view1"
}
},
"probes": {
"view": "Probes",
"parameters": {
"protocol": "view1"
}
}
}
}
],
"schema_version": 2
}
\ No newline at end of file
###############################################################################
# #
# Copyright (c) 2018 Idiap Research Institute, http://www.idiap.ch/ #
# Contact: beat.support@idiap.ch #
# #
# This file is part of the beat.examples module of the BEAT platform. #
# #
# Commercial License Usage #
# Licensees holding valid commercial BEAT licenses may use this file in #
# accordance with the terms contained in a written agreement between you #
# and Idiap. For further information contact tto@idiap.ch #
# #
# Alternatively, this file may be used under the terms of the GNU Affero #
# Public License version 3 as published by the Free Software and appearing #
# in the file LICENSE.AGPL included in the packaging of this file. #
# The BEAT platform is distributed in the hope that it will be useful, but #
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY #
# or FITNESS FOR A PARTICULAR PURPOSE. #
# #
# You should have received a copy of the GNU Affero Public License along #
# with the BEAT platform. If not, see http://www.gnu.org/licenses/. #
# #
###############################################################################
import numpy as np
from collections import namedtuple
from beat.backend.python.database import View
import bob.io.base
import bob.io.image
import bob.db.lfw
#----------------------------------------------------------
class Train(View):
"""Outputs:
- image: "{{ system_user.username }}/array_3d_uint8/1"
- file_id: "{{ system_user.username }}/uint64/1"
- client_id: "{{ system_user.username }}/text/1"
One "file_id" is associated with a given "image".
Several "image" are associated with a given "client_id".
--------------- --------------- --------------- --------------- --------------- ---------------
| image | | image | | image | | image | | image | | image |
--------------- --------------- --------------- --------------- --------------- ---------------
--------------- --------------- --------------- --------------- --------------- ---------------
| file_id | | file_id | | file_id | | file_id | | file_id | | file_id |
--------------- --------------- --------------- --------------- --------------- ---------------
----------------------------------------------- -----------------------------------------------
| client_id | | client_id |
----------------------------------------------- -----------------------------------------------
"""
def index(self, root_folder, parameters):
Entry = namedtuple('Entry', ['client_id', 'file_id', 'image'])
# Open the database and load the objects to provide via the outputs
db = bob.db.lfw.Database()
objs = sorted(db.objects(protocol=parameters['protocol'],
groups='world',
world_type='unrestricted'),
key=lambda x: (x.client_id, x.id))
return [ Entry(x.client_id, x.id, x.make_path(root_folder, '.jpg')) for x in objs ]
def get(self, output, index):
obj = self.objs[index]
if output == 'client_id':
return {
'text': str(obj.client_id)
}
elif output == 'file_id':
return {
'value': np.uint64(obj.file_id)
}
elif output == 'image':
return {
'value': bob.io.base.load(obj.image)
}
#----------------------------------------------------------
class Templates(View):
"""Outputs:
- image: "{{ system_user.username }}/array_3d_uint8/1"
- file_id: "{{ system_user.username }}/uint64/1"
- template_id: "{{ system_user.username }}/uint64/1"
- client_id: "{{ system_user.username }}/text/1"
One "file_id" is associated with a given "image".
Several "image" are associated with a given "template_id".
Several "template_id" are associated with a given "client_id".
--------------- --------------- --------------- --------------- --------------- ---------------
| image | | image | | image | | image | | image | | image |
--------------- --------------- --------------- --------------- --------------- ---------------
--------------- --------------- --------------- --------------- --------------- ---------------
| file_id | | file_id | | file_id | | file_id | | file_id | | file_id |
--------------- --------------- --------------- --------------- --------------- ---------------
----------------------------------------------- -----------------------------------------------
| template_id | | template_id |
----------------------------------------------- -----------------------------------------------
-----------------------------------------------------------------------------------------------
| client_id |
-----------------------------------------------------------------------------------------------
"""
def index(self, root_folder, parameters):
Entry = namedtuple('Entry', ['client_id', 'template_id', 'file_id', 'image'])
# Open the database and load the objects to provide via the outputs
db = bob.db.lfw.Database()
template_ids = db.model_ids(protocol=parameters['protocol'],
groups='dev')
entries = []
for template_id in template_ids:
objs = db.objects(protocol=parameters['protocol'],
groups='dev',
purposes='enroll',
model_ids=[template_id])
entries.extend([ Entry(x.client_id, template_id, x.id, x.make_path(root_folder, '.jpg'))
for x in objs ])
return sorted(entries, key=lambda x: (x.client_id, x.template_id, x.file_id))
def get(self, output, index):
obj = self.objs[index]
if output == 'client_id':
return {
'text': str(obj.client_id)
}
elif output == 'template_id':
return {
'value': np.uint64(obj.template_id)
}
elif output == 'file_id':
return {
'value': np.uint64(obj.file_id)
}
elif output == 'image':
return {
'value': bob.io.base.load(obj.image)
}
#----------------------------------------------------------
class Probes(View):
"""Outputs:
- image: "{{ system_user.username }}/array_3d_uint8/1"
- file_id: "{{ system_user.username }}/uint64/1"
- probe_id: "{{ system_user.username }}/uint64/1"
- client_id: "{{ system_user.username }}/text/1"
- template_ids: "{{ system_user.username }}/array_1d_uint64/1"
One "file_id" is associated with a given "image".
One "probe_id" is associated with a given "image".
Several "image" are associated with a given "client_id".
Several "client_id" are associated with a given "template_ids".
--------------- --------------- --------------- --------------- --------------- ---------------
| image | | image | | image | | image | | image | | image |
--------------- --------------- --------------- --------------- --------------- ---------------
--------------- --------------- --------------- --------------- --------------- ---------------
| file_id | | file_id | | file_id | | file_id | | file_id | | file_id |
--------------- --------------- --------------- --------------- --------------- ---------------
--------------- --------------- --------------- --------------- --------------- ---------------
| probe_id | | probe_id | | probe_id | | probe_id | | probe_id | | probe_id |
--------------- --------------- --------------- --------------- --------------- ---------------
----------------------------------------------- -----------------------------------------------
| client_id | | client_id |
----------------------------------------------- -----------------------------------------------
-----------------------------------------------------------------------------------------------
| template_ids |
-----------------------------------------------------------------------------------------------
"""
def index(self, root_folder, parameters):
Entry = namedtuple('Entry', ['template_ids', 'client_id', 'probe_id', 'file_id', 'image'])
# Open the database and load the objects to provide via the outputs
db = bob.db.lfw.Database()
template_ids = np.array(sorted(db.model_ids(protocol=parameters['protocol'],
groups='dev'),
key=lambda x: int(x)),
dtype='uint64')
objs = sorted(db.objects(protocol=parameters['protocol'],
groups='dev',
purposes='probe'),
key=lambda x: (x.client_id, x.id))
return [ Entry(template_ids, x.client_id, x.id, x.id, x.make_path(root_folder, '.jpg'))
for x in objs ]
def get(self, output, index):
obj = self.objs[index]
if output == 'template_ids':
return {
'value': obj.template_ids
}
elif output == 'client_id':
return {
'text': str(obj.client_id)
}
elif output == 'probe_id':
return {
'value': np.uint64(obj.probe_id)
}
elif output == 'file_id':
return {
'value': np.uint64(obj.file_id)
}
elif output == 'image':
return {
'value': bob.io.base.load(obj.image)
}
#----------------------------------------------------------
def setup_tests():
# Install a mock load function for the images
def mock_load(root_folder):
return np.ndarray((3, 10, 20), dtype=np.uint8)
bob.io.base.load = mock_load
#----------------------------------------------------------
# Test the behavior of the views (on fake data)
if __name__ == '__main__':
setup_tests()
view = Train()
view.objs = view.index(root_folder='', parameters=dict(protocol='view1'))
view.get('client_id', 0)
view.get('file_id', 0)
view.get('image', 0)
view = Templates()
view.objs = view.index(root_folder='', parameters=dict(protocol='view1'))
view.get('client_id', 0)
view.get('template_id', 0)
view.get('file_id', 0)
view.get('image', 0)
view = Probes()
view.objs = view.index(root_folder='', parameters=dict(protocol='view1'))
view.get('template_ids', 0)
view.get('client_id', 0)
view.get('probe_id', 0)
view.get('file_id', 0)
view.get('image', 0)
The Labeled Faces in the Wild Database
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