Traceback (most recent call last): File "I:\bishe\pythonProject\seeable.py", line 67, in <module> model = UNet() File "I:\bishe\pythonProject\seeable.py", line 28, in UNet merge5 = concatenate([conv3, up5], axis=3) File "I:\bishe\pythonProject\venv\lib\site-packages\keras\layers\merging\concatenate.py", line 231, in concatenate return Concatenate(axis=axis, **kwargs)(inputs) File "I:\bishe\pythonProject\venv\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "I:\bishe\pythonProject\venv\lib\site-packages\keras\layers\merging\concatenate.py", line 131, in build raise ValueError(err_msg) ValueError: A `Concatenate` layer requires inputs with matching shapes except for the concatenation axis. Received: input_shape=[(None, 125, 100, 256), (None, 250, 200, 256)] 报错，解释

这是一个 Python 代码的错误信息。这个错误的原因是 `Concatenate` 层需要具有相同形状的输入，除了在拼接轴上。但是，你的代码中，`Concatenate` 层的输入形状不匹配。具体地说，你传递了两个张量给 `Concatenate` 层，但它们的大小不匹配。第一个输入的形状是 `(None, 125, 100, 256)`，而第二个输入的形状是 `(None, 250, 200, 256)`。因此，`Concatenate` 层无法将它们沿着轴 3 进行拼接。为了解决这个问题，你需要确保将两个输入张量的大小调整为相同的大小。