NetManager = import_module(IMPORT_NET_CLS).NetManager from DataManager import DataManager from PathManager import PathManager from ImageGenerator import ImageGenerator from FitManager import FitManager import ShareNetFunc as nfunc import PlotFunc # ========== NetManager呼び出し ========== net_cls = NetManager() # ========== PathManager呼び出し ========== path_cls = PathManager(tfrecord_folder=TFRECORD_FOLDER, output_rootfolder=OUT_ROOT_FOLDER, epoch_output_rootfolder=EPOCH_OUT_ROOT_FOLDER) path_cls.all_makedirs() # 結果保存フォルダ生成 # ========== DataSet呼び出し ========== # プロパティデータ読み込み df = pd.read_csv(path_cls.get_property_path()) shuf_train_ds_cls = DataManager( tfrecord_path=path_cls.get_train_ds_path(), img_root=IMAGE_ROOT_PATH, batch_size=SHUF_LEARN_BATCH_SIZE, net_cls=net_cls, data_n=df.at[0, 'total_learn_data'], suffle_buffer=SUFFLE_BUFFER_SIZE, ) train_ds_cls = DataManager( tfrecord_path=path_cls.get_train_ds_path(), img_root=IMAGE_ROOT_PATH,