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,
batch_size=LEARN_BATCH_SIZE,
net_cls=net_cls,
data_n=df.at[0, 'total_learn_data'],
)
test_ds_cls = DataManager(
tfrecord_path=path_cls.get_test_ds_path(),
