我正在处理一些代码，想知道如何解决以下错误？我正在使用类生成器（keras.utils.Sequence）来获取更多数据生成器。我正在使用dicom图像，并尝试实现keras resnet50_unet模型。任何帮助将不胜感激。谢谢。
history = model.fit_generator(train_gen, validation_data=valid_gen,
epochs=25, steps_per_epoch = 200,shuffle=True,
verbose=2)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-18-8e6b34e90593> in <module>()
1 history = model.fit_generator(train_gen, validation_data=valid_gen,
----> 2 epochs=25, steps_per_epoch =
200,shuffle=True, verbose=2)
3
/opt/conda/lib/python3.6/site-packages/keras/legacy/interfaces.py in
wrapper(*args, **kwargs)
89 warnings.warn('Update your `' + object_name +
90 '` call to the Keras 2 API: ' + signature,
stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
/opt/conda/lib/python3.6/site-packages/keras/engine/training.py in
fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks,
validation_data, validation_steps, class_weight, max_queue_size, workers,
use_multiprocessing, shuffle, initial_epoch)
1413 use_multiprocessing=use_multiprocessing,
1414 shuffle=shuffle,
-> 1415 initial_epoch=initial_epoch)
1416
1417 @interfaces.legacy_generator_methods_support
/opt/conda/lib/python3.6/site-packages/keras/engine/training_generator.py
in fit_generator(model, generator, steps_per_epoch, epochs, verbose,
callbacks, validation_data, validation_steps, class_weight, max_queue_size,
workers, use_multiprocessing, shuffle, initial_epoch)
136 '`(val_x, val_y,
val_sample_weight)` '
137 'or `(val_x, val_y)`. Found: ' +
--> 138 str(validation_data))
139 val_x, val_y, val_sample_weights =
model._standardize_user_data(
140 val_x, val_y, val_sample_weight)
ValueError: `validation_data` should be a tuple `(val_x, val_y,
val_sample_weight)` or `(val_x, val_y)`. Found: <__main__.generator object
at 0x7f378513bac8>