RuntimeError: generator raised StopIteration

在跑ENet的时候，遇到这个问题：

Traceback (most recent call last):
  File "C:/Users/eren.luo/PycharmProjects/ENetbylxb/Netbyother/Keras-Semantic-Segmentation/train.py", line 186, in 
    history = parallel_model.fit_generator(train_ge,
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginetraining.py", line 1975, in fit_generator
    return self.fit(
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginetraining.py", line 1202, in fit
    self._eval_data_handler = data_adapter.get_data_handler(
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginedata_adapter.py", line 1383, in get_data_handler
    return DataHandler(*args, **kwargs)
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginedata_adapter.py", line 1138, in __init__
    self._adapter = adapter_cls(
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginedata_adapter.py", line 794, in __init__
    peek, x = self._peek_and_restore(x)
  File "C:Userseren.luoMiniconda3envsENetbylxblibsite-packageskerasenginedata_adapter.py", line 851, in _peek_and_restore
    peek = next(x)
RuntimeError: generator raised StopIteration
2022-05-05 11:09:43.314586: W tensorflow/core/kernels/data/generator_dataset_op.cc:107] Error occurred when finalizing GeneratorDataset iterator: Failed precondition: Python interpreter state is not initialized. The process may be terminated.
	 [[{{node PyFunc}}]]

解决办法：
下面的val_images 和val_segs 路径不存在，改为正确的路径就可以了。

 val_images = os.path.join(data_root, "val_image")
 val_segs = os.path.join(data_root, "val_label")