def test_disable_faces(self):
self.test_add_face()
base_path = os.path.join('..', 'test_files', 'face_models')
face_rec_data = os.path.abspath(os.path.join(base_path, 'face_rec_data'))
params = {c.GLOBAL_FACE_MODELS_MIN_DIFF_KEY: -1,
c.GLOBAL_FACE_REC_DATA_DIR_PATH_KEY: face_rec_data}
fm = FaceModels(params)
labels = fm.get_labels()
print('labels', labels)
rel_im_tuples = []
for label in labels:
images = fm.get_images_for_label(label)
print('images', images)
for image in images:
rel_im_tuple = (label, image)
rel_im_tuples.append(rel_im_tuple)
fm.disable_faces(rel_im_tuples)
# Assert that file with enabled models does not exist
db_file_name = os.path.join(fm._data_dir_path, c.ENABLED_FACE_MODELS_FILE)
self.assertFalse(os.path.exists(db_file_name))
def test_remove_label(self):
base_path = os.path.join('..', 'test_files', 'face_models')
face_rec_data = os.path.abspath(os.path.join(base_path, 'face_rec_data'))
params = {c.GLOBAL_FACE_MODELS_MIN_DIFF_KEY: -1,
c.GLOBAL_FACE_REC_DATA_DIR_PATH_KEY: face_rec_data}
fm = FaceModels(params)
fm.delete_models()
self.test_add_face()
label = 3815
fm.remove_label(label)
labels = fm.get_labels()
self.assertNotIn(label, labels)
def test_remove_face_label_removed(self):
base_path = os.path.join('..', 'test_files', 'face_models')
face_rec_data = os.path.abspath(os.path.join(base_path, 'face_rec_data'))
params = {c.GLOBAL_FACE_MODELS_MIN_DIFF_KEY: -1,
c.GLOBAL_FACE_REC_DATA_DIR_PATH_KEY: face_rec_data}
fm = FaceModels(params)
fm.delete_models()
self.test_add_face()
training_set_path = os.path.join(
fm._data_dir_path, c.TRAINING_SET_DIR)
aligned_faces_path = os.path.join(
training_set_path, c.ALIGNED_FACES_DIR)
label = 3813
subject_path = os.path.join(aligned_faces_path, str(label))
im_name = ''
for im in os.listdir(subject_path):
im_name = im
ok = fm.remove_face(label, im_name)
labels = fm.get_labels()
self.assertTrue(ok)
self.assertNotIn(label, labels)
