解决 Python Keras 加载模型时出现的 UnicodeDecodeError 问题

The error message indicates that there is a UnicodeDecodeError when trying to decode a byte in position 13 of the file path. This error occurs because the byte is not a valid UTF-8 continuation byte.

To resolve this issue, you can try the following steps:

1. Check the file path and make sure it is correct. Ensure that there are no special characters or non-UTF-8 encoded characters in the file path.

2. If the file path contains non-UTF-8 encoded characters, you can try using the raw string format by adding an 'r' before the string. For example:

model = load_model(r'model/model.h5')

3. If the file path is correct and still causing the error, it could be due to the file itself being encoded in a different format. In this case, you may need to convert the file to UTF-8 encoding or specify the correct encoding when loading the model. For example:

model = load_model('model/model.h5', compile=False, custom_objects={'<custom_objects>'}, encoding='latin1')

Replace <custom_objects> with any custom objects that you may have used when saving the model.

By following these steps, you should be able to resolve the UnicodeDecodeError and load the model successfully.