Found 0 images belonging to 0 classes. Found 0 images belonging to 0 classes. 2023-05-25 14:11:20.651003: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-05-25 14:11:20.651867: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. Traceback (most recent call last): File "/home/el304/kerasbook/csdnwrite.py", line 56, in <module> model.fit([rgb_generator, flow_generator], epochs=10, steps_per_epoch=100) File "/home/el304/anaconda3/envs/twostream/lib/python3.7/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/el304/anaconda3/envs/twostream/lib/python3.7/site-packages/keras/engine/data_adapter.py", line 1085, in select_data_adapter "input: {}, {}".format(_type_name(x), _type_name(y)) ValueError: Failed to find data adapter that can handle input: (<class 'list'> containing values of types {"<class 'keras.preprocessing.image.DirectoryIterator'>"}), <class 'NoneType'>出現這樣子錯誤

这个错误是由于 `model.fit` 函数的输入参数不正确导致的。你需要将 `rgb_generator` 和 `flow_generator` 分别放在一个列表中作为第一个参数传入 `model.fit` 函数中，如下所示：

model.fit([rgb_generator, flow_generator], epochs=10, steps_per_epoch=100)

另外，你可能需要检查一下你的数据生成器是否正常工作，是否正确地加载了图像数据。

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Found 0 images belonging to 0 classes.

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