示例#1
0
 def __init__(self):
     # call base class constructor with useful parameters
     super(DummyDatabase,
           self).__init__(name='test',
                          original_directory=atnt_database_directory(),
                          original_extension='.pgm',
                          check_original_files_for_existence=True,
                          training_depends_on_protocol=False,
                          models_depend_on_protocol=False)
     import bob.db.atnt
     self._db = bob.db.atnt.Database()
示例#2
0
 def __init__(self):
     # call base class constructor with useful parameters
     super(DummyDatabase, self).__init__(
         name='test',
         original_directory=atnt_database_directory(),
         original_extension='.pgm',
         check_original_files_for_existence=True,
         training_depends_on_protocol=False,
         models_depend_on_protocol=False
     )
     import bob.db.atnt
     self._db = bob.db.atnt.Database()
 def __init__(self):
   # call base class constructor with useful parameters
   DatabaseBobZT.__init__(
       self,
       database = bob.db.atnt.Database(
           original_directory = atnt_database_directory()
       ),
       name = 'test',
       check_original_files_for_existence = True,
       training_depends_on_protocol = False,
       models_depend_on_protocol = False
   )
示例#4
0
from bob.bio.base.database import FileListBioDatabase
from bob.bio.base.test.utils import atnt_database_directory
import pkg_resources

database = FileListBioDatabase(
    filelists_directory=pkg_resources.resource_filename('bob.bio.base.test', 'data/atnt'),
    original_directory=atnt_database_directory(),
    original_extension=".pgm",
    dev_sub_directory='.',
    eval_sub_directory='.',
    world_filename='world.lst',
    models_filename='models.lst',
    probes_filename='probes.lst',
    tnorm_filename='models.lst',
    znorm_filename='probes.lst',
    keep_read_lists_in_memory=True,
    name='test_filelist',
    protocol=None,
    check_original_files_for_existence=True,
    training_depends_on_protocol=False,
    models_depend_on_protocol=False
)