def load_training_image_properties(self):
"""
Loads training images properties
:return:
"""
iterator_training = Misc.folder_counter(self.training_path)
image_list = []
for i in range(0, iterator_training):
class_number = Misc.fill_number(i, 5)
training_path_class = os.path.join(self.training_path,
class_number)
csv_data = None
for file in os.listdir(training_path_class):
if file.endswith(".csv"):
csv_path = os.path.join(training_path_class, file)
csv_data = pd.read_csv(filepath_or_buffer=csv_path,
sep=';')
# self.misc.logger.debug("CSV path: %s", csv_path)
break
image_list.append(csv_data)
return image_list
