Python API

The SCFace database

class bob.db.scface.Database(original_directory=None, original_extension='.jpg')[source]

Bases: bob.db.base.SQLiteDatabase

The dataset class opens and maintains a connection opened to the Database.

It provides many different ways to probe for the characteristics of the data and for the data itself inside the database.

groups(protocol=None)[source]

Returns the names of all registered groups

genders()[source]

Returns the list of genders: ‘m’ for male and ‘f’ for female

subworld_names()[source]

Returns all registered subworld names

subworlds()[source]

Returns the list of subworlds

has_subworld(name)[source]

Tells if a certain subworld is available

clients(protocol=None, groups=None, subworld=None, gender=None, birthyear=None)[source]

Returns a set of Clients for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

The groups to which the clients belong (‘dev’, ‘eval’, ‘world’)

subworld

Specify a split of the world data (“onethird”, “twothirds”, “”) In order to be considered, “world” should be in groups and only one split should be specified.

gender

The genders to which the clients belong (‘f’, ‘m’)

birthyear

The birth year of the clients (in the range [1900,2050])

Returns: A list containing all the clients which have the given properties.

tclients(protocol=None, groups=None)[source]

Returns a set of T-Norm clients for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

Ignored.

Returns: A list containing all the clients belonging to the given group.

zclients(protocol=None, groups=None)[source]

Returns a set of Z-Norm clients for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

The groups to which the clients belong (‘dev’, ‘eval’, ‘world’)

Returns: A list containing all the models belonging to the given group.

models(protocol=None, groups=None)[source]

Returns a set of models for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

The groups to which the subjects attached to the models belong (‘dev’, ‘eval’, ‘world’)

Returns: A list containing all the models belonging to the given group.

model_ids(protocol=None, groups=None)[source]

Returns a set of models ids for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

The groups to which the subjects attached to the models belong (‘dev’, ‘eval’, ‘world’)

Returns: A list containing the ids of all models belonging to the given group.

has_client_id(id)[source]

Returns True if we have a client with a certain integer identifier

client(id)[source]

Returns the Client object in the database given a certain id. Raises an error if that does not exist.

tmodels(protocol=None, groups=None)[source]

Returns a set of T-Norm models for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

Ignored.

Returns: A list containing all the T-Norm models.

tmodel_ids(protocol=None, groups=None)[source]

Returns a set of T-Norm model ids for the specific query by the user.

Keyword Parameters:

protocol

The protocol to consider (‘combined’, ‘close’, ‘medium’, ‘far’)

groups

Ignored.

Returns: A list containing the ids of all T-Norm models.

get_client_id_from_model_id(model_id, **kwargs)[source]

Returns the client_id attached to the given model_id

Keyword Parameters:

model_id

The model_id to consider

Returns: The client_id attached to the given model_id

objects(protocol=None, purposes=None, model_ids=None, groups=None, classes=None, subworld=None, distances=None)[source]

Returns a set of Files for the specific query by the user.

Keyword Parameters:

protocol

One of the SCFace protocols (‘combined’, ‘close’, ‘medium’, ‘far’)

purposes

The purposes required to be retrieved (‘enroll’, ‘probe’, ‘world’) or a tuple with several of them. If ‘None’ is given (this is the default), it is considered the same as a tuple with all possible values. This field is ignored for the data from the “world” group.

model_ids

Only retrieves the files for the provided list of model ids (claimed client id). The model ids are string. If ‘None’ is given (this is the default), no filter over the model_ids is performed.

groups

One of the groups (‘dev’, ‘eval’, ‘world’) or a tuple with several of them. If ‘None’ is given (this is the default), it is considered the same as a tuple with all possible values.

classes

The classes (types of accesses) to be retrieved (‘client’, ‘impostor’) or a tuple with several of them. If ‘None’ is given (this is the default), it is considered the same as a tuple with all possible values.

subworld

Specify a split of the world data (“onethird”, “twothirds”, “”) In order to be considered, “world” should be in groups and only one split should be specified.

distances

Specify the subject-camera distance as an integral value. Possible values: (3: close, 2:medium, 1:far)

Returns: A list of Files with the given properties

tobjects(protocol=None, model_ids=None, groups=None)[source]
Returns a set of Files for enrolling T-norm models for score

normalization.

Keyword Parameters:

protocol

One of the SCFace protocols (‘combined’, ‘close’, ‘medium’, ‘far’)

model_ids

Only retrieves the files for the provided list of model ids (claimed client id). If ‘None’ is given (this is the default), no filter over the model_ids is performed.

groups

Ignored.

Returns: A set of Files with the given properties

zobjects(protocol=None, model_ids=None, groups=None, distances=None)[source]

Returns a set of Files to perform Z-norm score normalization.

Keyword Parameters:

protocol

One of the SCFace protocols (‘combined’, ‘close’, ‘medium’, ‘far’)

model_ids

Only retrieves the files for the provided list of model ids (claimed client id). If ‘None’ is given (this is the default), no filter over the model_ids is performed.

groups

Ignored.

distances

Specify the subject-camera distance as an integral value. Possible values: (3: close, 2:medium, 1:far)

Returns: A set of Files

annotations(file)[source]

Returns the annotations for the image with the given file id.

Keyword Parameters:

file

The File object to retrieve the annotations for.

Returns: the eye annotations as a dictionary {‘reye’:(y,x), ‘leye’:(y,x), ‘mouth’:(y,x), ‘nose’:(y,x)}.

protocol_names()[source]

Returns all registered protocol names

protocols()[source]

Returns all registered protocols

has_protocol(name)[source]

Tells if a certain protocol is available

protocol(name)[source]

Returns the protocol object in the database given a certain name. Raises an error if that does not exist.

protocol_purposes()[source]

Returns all registered protocol purposes

purposes()[source]

Returns the list of allowed purposes

t_model_ids(protocol, groups='dev', **kwargs)[source]

Returns the list of model ids used for T-Norm of the given protocol for the given group that satisfy your query. For possible keyword arguments, please check the tmodel_ids() function.

t_enroll_files(protocol, model_id, groups='dev', **kwargs)[source]

Returns the list of T-Norm model enrollment File objects from the given model id of the given protocol for the given group that satisfy your query. For possible keyword arguments, please check the tobjects() function.

z_probe_files(protocol, groups='dev', **kwargs)[source]

Returns the list of Z-Norm probe File objects to probe the model with the given model id of the given protocol for the given group that satisfy your query. For possible keyword arguments, please check the zobjects() function.

class bob.db.scface.Client(id, group, birthyear, gender, beard, moustache, glasses)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Database clients, marked by an integer identifier and the group they belong to

group_choices = ('dev', 'eval', 'world')
gender_choices = ('m', 'f')
id
sgroup
birthyear
gender
beard
moustache
glasses
class bob.db.scface.Subworld(name)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Database clients belonging to the world group are split in two disjoint subworlds, onethird and twothirds

id
clients
name
class bob.db.scface.File(client_id, path, camera, distance)[source]

Bases: sqlalchemy.ext.declarative.api.Base, bob.db.base.File

Generic file container

id
path
client
annotation
camera
distance
client_id
class bob.db.scface.Protocol(name)[source]

Bases: sqlalchemy.ext.declarative.api.Base

SCface protocols

id
name
class bob.db.scface.ProtocolPurpose(protocol_id, sgroup, purpose)[source]

Bases: sqlalchemy.ext.declarative.api.Base

SCface protocol purposes

id
group_choices = ('world', 'dev', 'eval')
purpose_choices = ('train', 'enroll', 'probe')
protocol
files
protocol_id
sgroup
purpose
class bob.db.scface.Annotation(file_id, annotations)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Annotations of the SC face database consists of the left and right eye positions as well as the nose tip and the center of the mouth. There is exactly one annotation for each file.

id
file_id
re_x
re_y
le_x
le_y
n_x
n_y
m_x
m_y
bob.db.scface.get_config()[source]

Returns a string containing the configuration information.