def extract_features(self, features_path, database, parameters=None):
if parameters:
access_modifier = AccessModifier(
target_framerate=parameters['framerate'],
target_duration=parameters['total_time_acquisition'],
starting_time=parameters['starting_time_acquisition'])
else:
access_modifier = AccessModifier()
dict_accesses = database.get_all_accesses(access_modifier)
self.informer.set_title('Extracting features')
len_total_accesses = 0
for subset, accesses in dict_accesses.items():
enable_data_augmentation = False
if subset is 'Train' and self.configuration.use_data_augmentation:
enable_data_augmentation = True
self.__extract_from_accesses(
features_path,
subset,
accesses,
data_augmentation=enable_data_augmentation)
len_total_accesses += len(accesses)
self.informer.message('Finished. Extracted {} features{}'.format(
len_total_accesses, SPACES),
color=Colors.FG.green,
prefix='\r',
suffix='\n')
def test_str(self):
access_modifier = AccessModifier()
self.assertEqual(
access_modifier.__str__(),
'AccessModifier [ target_framerate = 30 | '
'target_duration = -1 | '
'starting_time = -1 | '
'center_video_acquisition = False ]')
def test_constructor_with_correct_params_with_timestamp_reference_zero(
self):
dict_images = TestUtils.get_synthetic_dict_image(timestamp_reference=0)
access_modifier = AccessModifier()
mod_dict_images = access_modifier.run(dict_images)
self.assertEqual(dict_images, mod_dict_images)
def test_should_return_an_access_normalized_when_run_with_default_params(
self):
dict_images = TestUtils.get_synthetic_dict_image()
access_modifier = AccessModifier()
mod_dict_images = access_modifier.run(dict_images)
self.assertEqual(len(dict_images), len(mod_dict_images))
self.assertNotEqual(dict_images, mod_dict_images)
self.assertEqual(list(mod_dict_images)[0], 0)
def test_should_return_an_access_normalized_and_trimmed_when_run_with_target_framerate_target_duration_and_center_video_acquisition(
self):
dict_images = TestUtils.get_synthetic_dict_image()
access_modifier = AccessModifier(target_framerate=15,
target_duration=1000,
center_video_acquisition=True)
mod_dict_images = access_modifier.run(dict_images)
self.assertNotEqual(len(dict_images), len(mod_dict_images))
self.assertEqual(len(mod_dict_images), 15)
def test_should_return_an_access_normalized_and_trimmed_when_run_with_target_framerate_target_duration_and_starting_time(
self):
dict_images = TestUtils.get_synthetic_dict_image()
access_modifier = AccessModifier(target_framerate=15,
target_duration=1000,
starting_time=100)
mod_dict_images = access_modifier.run(dict_images)
self.assertNotEqual(len(dict_images), len(mod_dict_images))
self.assertEqual(len(mod_dict_images), 16)
def get_all_accesses(self, access_modifier=AccessModifier()):
if not self.dict_all_accesses:
self.dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for root, dirs, files in os.walk(self.base_path):
if not dirs:
for f in files:
if f.lower().endswith(('.mov', '.mp4')):
basename, extension = os.path.splitext(f)
split_path = os.path.normpath(root).split(
os.path.sep)
relative_path = os.path.join(*split_path[-3:])
subject = int(basename.split('-')[0])
original_subset = split_path[-3]
if original_subset == 'Train' and subject in SIW_USERS_PER_SUBSET[
'Dev']:
subset = 'Dev'
else:
subset = original_subset
self.dict_all_accesses[subset].append(
VideoAccess(self.base_path,
os.path.join(
relative_path, basename),
extension,
access_modifier=access_modifier,
annotation_base_path=self.
annotation_base_path,
database_name=SiwDatabase.name()))
for subset, list_accesses in self.dict_all_accesses.items():
list_accesses.sort(key=lambda x: x.name)
return self.dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
if not self.dict_all_accesses:
self.dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for root, dirs, files in os.walk(self.base_path):
if not dirs:
if sum([f.endswith('.jpg') for f in files]):
split_path = os.path.normpath(root).split(os.path.sep)
relative_path = os.path.relpath(root, self.base_path)
user = split_path[-2]
for subset, list_users in CSMAD_USERS_PER_SUBSET.items(
):
if user in list_users:
self.dict_all_accesses[subset].append(
FolderAccess(
self.base_path,
relative_path,
'.jpg',
access_modifier=access_modifier,
annotation_base_path=self.
annotation_base_path,
database_name=CsmadDatabase.name()))
for subset, list_accesses in self.dict_all_accesses.items():
list_accesses.sort(key=lambda x: x.name)
return self.dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
if not self.dict_all_accesses:
self.dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for root, dirs, files in os.walk(self.base_path):
if not dirs:
if sum([f.endswith('.jpg') for f in files]):
relative_path = os.path.relpath(root, self.base_path)
split_path = os.path.normpath(relative_path).split(
os.path.sep)
# Until March 10th, only Train set is available
if split_path[0] == 'Training' and split_path[
-1] == 'color':
depth_relative_path = relative_path.replace(
'color', 'depth')
ir_relative_path = relative_path.replace(
'color', 'ir')
user = split_path[-3]
if user in CASIA_DEV_USERS:
subset = 'Dev'
elif user in CASIA_TEST_USERS:
subset = 'Test'
else:
subset = 'Train'
self.dict_all_accesses[subset].append(
FolderAccess(
self.base_path,
relative_path,
'.jpg',
depth_name=depth_relative_path,
infrared_name=ir_relative_path,
access_modifier=access_modifier,
annotation_base_path=self.
annotation_base_path,
database_name=CasiaSurfDatabase.name()))
# subset = 'Test'
# orig_dev_list = [line.rstrip() for line in open(os.path.join(self.base_path,
# 'val_public_list.txt'))]
# for line in orig_dev_list:
# color_relative_path, depth_relative_path, ir_relative_path = line.split(' ')
# self.dict_all_accesses[subset].append(
# FolderAccess(self.base_path, color_relative_path, '.jpg',
# depth_name=depth_relative_path,
# infrared_name=ir_relative_path,
# access_modifier=access_modifier,
# annotation_base_path=self.annotation_base_path,
# database_name=CasiaSurfDatabase.name()
# ))
for subset, list_accesses in self.dict_all_accesses.items():
list_accesses.sort(key=lambda x: x.name)
return self.dict_all_accesses
def get_all_accesses(self, access_modificator=AccessModifier()):
dict_all_accesses = {}
list_accesses = []
dict_accesses_by_subset = self.get_accesses_by_subset(
access_modificator)
for subset in dict_accesses_by_subset:
list_accesses += dict_accesses_by_subset[subset]
list_accesses.sort(key=lambda x: x.name)
dict_all_accesses['All'] = list_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_all_accesses = {}
dict_all_accesses['Train'] = self.__get_accesses_from_subset(
'train', access_modifier)
dict_all_accesses['Dev'] = self.__get_accesses_from_subset(
'devel', access_modifier)
dict_all_accesses['Test'] = self.__get_accesses_from_subset(
'test', access_modifier)
return dict_all_accesses
def test_constructor_with_valid_parameters_and_setter_access_modifier(
self, dummy_dict_images=dummy_dict_images):
base_path = TestUtils.get_resources_path()
name = 'genuine'
folder_access = FolderAccess(base_path, name)
folder_access.set_access_modifier(AccessModifier())
dict_images = folder_access.load()
AccessModifier.run.assert_called_once()
self.assertEqual(dict_images, dummy_dict_images)
def __init__(self,
base_path,
name,
access_modificator=AccessModifier(),
annotation_base_path=None):
self.name = name
super(DummyAccess,
self).__init__(base_path,
name,
access_modificator,
annotation_base_path=annotation_base_path)
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_all_accesses = {'All': []}
for database in iter(self.included_databases.values()):
dict_all_accesses_one_database = database.get_all_accesses(
access_modifier)
for subset in dict_all_accesses_one_database:
subset_accesses = dict_all_accesses_one_database[subset]
for access in subset_accesses:
access.database_name = database.name()
dict_all_accesses['All'] += subset_accesses
return dict_all_accesses
def test_constructor_with_valid_parameters_with_setter_access_modifier(
self, dummy_dict_images=dummy_dict_images):
base_path = TestUtils.get_resources_path()
name = 'video'
extension = '.mov'
video_access = VideoAccess(base_path, name, extension)
video_access.set_access_modifier(AccessModifier())
dict_images = video_access.load()
AccessModifier.run.assert_called_once()
self.assertEqual(dict_images, dummy_dict_images)
def get_enrolment_access(self, access_modifier=AccessModifier()):
list_accesses = []
objects = self.db.objects(cls='enroll')
for access in objects:
path, extension = os.path.splitext(access.videofile())
list_accesses.append(
VideoAccess(self.base_path,
path,
extension,
access_modifier=access_modifier,
annotation_base_path=self.annotation_base_path))
list_accesses.sort(key=lambda x: x.name)
return list_accesses
def get_enrolment_access(self, access_modifier=AccessModifier()):
list_accesses = []
objects = self.db.objects(cls='enroll')
for access in objects:
rotation_rule = self.get_rotation_rule(access)
path, extension = os.path.splitext(access.videofile())
list_accesses.append(
VideoAccess(self.base_path,
path,
extension,
access_modifier=access_modifier,
rotation_rule=rotation_rule,
annotation_base_path=self.annotation_base_path,
database_name=ReplayMobileDatabase.name()))
list_accesses.sort(key=lambda x: x.name)
return list_accesses
def get_accesses_by_subset(self, access_modificator=AccessModifier()):
dict_accesses_by_subset = {}
for subset in ['Train', 'Dev', 'Test']:
list_accesses = []
for number_access in range(0, 5):
list_accesses.append(
DummyAccess('base_path',
'real_' + str(number_access),
access_modificator=access_modificator))
for number_access in range(0, 5):
list_accesses.append(
DummyAccess('base_path',
'attack_' + str(number_access),
access_modificator=access_modificator))
list_accesses.sort(key=lambda x: x.name)
dict_accesses_by_subset[subset] = list_accesses
return dict_accesses_by_subset
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for subset, subset_accesses in dict_all_accesses.items():
for access in self.db.objects(
sets=THREEDMAD_SUBSETS_CORRESPONDENCE[subset]):
path, extension = os.path.splitext(access.videofile())
subset_accesses.append(
VideoAccess(self.base_path,
path,
extension,
access_modifier=access_modifier,
annotation_base_path=self.annotation_base_path,
database_name=ThreedmadDatabase.name()))
subset_accesses.sort(key=lambda x: x.name)
return dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for subset, subset_accesses in dict_all_accesses.items():
objects = self.db.objects(
groups=REPLAY_MOBILE_SUBSETS_CORRESPONDENCE[subset])
for access in objects:
rotation_rule = self.get_rotation_rule(access)
path, extension = os.path.splitext(access.videofile())
subset_accesses.append(
VideoAccess(self.base_path,
path,
extension,
access_modifier=access_modifier,
rotation_rule=rotation_rule,
annotation_base_path=self.annotation_base_path,
database_name=ReplayMobileDatabase.name()))
subset_accesses.sort(key=lambda x: x.name)
return dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_all_accesses = {}
list_accesses = []
folders_correspondence = {'Train_files': 'Train',
'Dev_files': 'Dev',
'Test_files': 'Test'}
for folder in OULU_FOLDERS_VIDEO:
folder_set = os.path.join(self.base_path, folder)
list_basename_access = self.__get_list_basename_access_from_folder(folder_set)
for basename in list_basename_access:
list_accesses.append(VideoAccess(self.base_path,
os.path.join(folder, basename),
OULU_VIDEO_EXTENSION,
access_modifier=access_modifier,
annotation_base_path=self.annotation_base_path,
database_name=OuluNpuDatabase.name()))
list_accesses.sort(key=lambda x: x.name)
dict_all_accesses[folders_correspondence[folder]] = list_accesses
list_accesses = []
return dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
if not self.dict_all_accesses:
self.dict_all_accesses = {'Train':[],
'Dev': [],
'Test': []}
dict_videos = {}
for root, dirs, files in os.walk(self.base_path):
if not dirs:
for f in files:
if f.lower().endswith(('.mp4', '.mov')):
basename, ext = os.path.splitext(f)
if basename not in dict_videos:
dict_videos[basename] = []
dict_videos[basename].append(os.path.join(root, f))
for subset, subset_accesses in self.dict_all_accesses.items():
txt_file = os.path.join(self.base_path, 'release_1', 'protocols', 'grandtest', subset + '.txt')
with open(txt_file) as my_file:
for line in my_file.readlines():
user, video1, video2 = line.rstrip().split(' ')
basename1, _ = os.path.splitext(video1)
basename2, _ = os.path.splitext(video2)
for basename in [basename1, basename2]:
for full_access_path in dict_videos[basename]:
extension = os.path.basename(full_access_path).split('.')[1]
relative_path = os.path.relpath(full_access_path, self.base_path).replace('.' + extension, '')
subset_accesses.append(VideoAccess(os.path.join(self.base_path),
relative_path,
('.' + extension).rstrip(),
access_modifier=access_modifier,
annotation_base_path=self.annotation_base_path,
database_name=UvadDatabase.name()))
subset_accesses.sort(key=lambda x: x.name)
return self.dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
if not self.dict_all_accesses:
self.dict_all_accesses = {'Train': [], 'Dev': [], 'Test': []}
for root, dirs, files in os.walk(self.base_path):
if not dirs:
for f in files:
if f.lower().endswith('.avi'):
basename, extension = os.path.splitext(f)
split_path = os.path.normpath(root).split(
os.path.sep)
subject = int(split_path[-1])
if split_path[-2].startswith('train_'):
if subject in CASIA_FASD_DEV_USERS:
subset = 'Dev'
else:
subset = 'Train'
else:
subset = 'Test'
self.dict_all_accesses[subset].append(
VideoAccess(
self.base_path,
os.path.join(split_path[-2],
split_path[-1], basename),
extension,
access_modifier=access_modifier,
annotation_base_path=self.
annotation_base_path,
database_name=CasiaFasdDatabase.name()))
for subset, list_accesses in self.dict_all_accesses.items():
list_accesses.sort(key=lambda x: x.name)
return self.dict_all_accesses
def get_all_accesses(self, access_modifier=AccessModifier()):
dict_accesses_by_subset = self.get_accesses_by_subset(access_modifier)
return dict_accesses_by_subset
def __extract_pad_results(self, scores_filename, database, protocol):
self.informer.highlight_message(
'end-to-end parameters [framerate = {}, total_time_acquisition = {}]'
.format(self.configuration.framerate,
self.configuration.total_time_acquisition),
title='\tEnd-to-end extraction',
color=Colors.FG.lightcyan)
access_modifier = AccessModifier(
self.configuration.framerate,
self.configuration.total_time_acquisition)
if database.type_database is TypeDatabase.ALL_FILES_TOGETHER:
dict_accesses = database.get_accesses_by_subset(access_modifier)
else:
dict_accesses = database.get_all_accesses(access_modifier)
self.informer.set_title('Extracting pad results')
info = cpuinfo.get_cpu_info()
name_algorithm = '{}_f{}_ta{}'.format(
self.configuration.face_pad.name, self.configuration.framerate,
self.configuration.total_time_acquisition)
framerate = self.configuration.framerate
total_time_of_acquisition = self.configuration.total_time_acquisition
processor = ' '.join(info['brand'].split())
processed_frames = 0
scores_list = []
time_of_delay_list = []
cpu_time_list = []
labels_list = []
benchmark_labels_list = []
for subset in SUBSETS_TO_EVALUATE:
subset_accesses = dict_accesses[subset]
subset_ground_truth = database.get_ground_truth(protocol)[subset]
failure_accesses = 0
for i, access in enumerate(subset_accesses):
progressBar(i + 1, len(subset_accesses), access.name)
dict_images = access.load()
start_time_cpu_processing = time.time() * 1000
for key, image in dict_images.items():
self.configuration.face_pad.process(image)
processed_frames += 1
if self.configuration.face_pad.isfinished():
break
cpu_time = time.time() * 1000 - start_time_cpu_processing
start_time_decision = time.time() * 1000
label, score = self.configuration.face_pad.get_decission()
time_of_delay = time.time() * 1000 - start_time_decision
if label == "FAILURE_TO_COMPUTE":
failure_accesses += 1
self.configuration.face_pad.reset()
scores_list.append(score)
time_of_delay_list.append(time_of_delay)
cpu_time_list.append(cpu_time)
labels_list.append(label)
benchmark_labels_list.append('ATTACK' if subset_ground_truth[
access.name] == 1 else 'NO_ATTACK')
print('\n\t\tFAILURE_TO_COMPUTE accesses: ' + str(failure_accesses) +
'/' + str(len(subset_accesses)))
end_to_end_info = EndToEndInfo(name_algorithm, framerate,
total_time_of_acquisition, processor,
processed_frames, scores_list,
time_of_delay_list, cpu_time_list,
labels_list, benchmark_labels_list)
end_to_end_info.save(scores_filename)
return end_to_end_info
def test_constructor_with_none_dict_images(self):
dict_images = None
access_modifier = AccessModifier()
self.assertRaises(ValueError, lambda: access_modifier.run(dict_images))