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