ValueError：层顺序的输入 0 与层不兼容：预期 ndim=4，发现 ndim=3。 收到的完整形状：[32, 64, 3]

Question

I am absolutely beginner in the deep learning, I am trying to build simple classification model by using the Tensorflow. Of course, I want to save my model after training by using this command.

model.save('saved_model/my_model')

after that, I want to use my model another place as well as on the raspberry pi. But, I got some error:

ValueError: Input 0 of layer sequential is incompatible with the layer: expected ndim=4, found ndim=3. Full shape received: [32, 64, 3]

Here is my model structure:

Here is my test code:

Answer 1

My fault, Perhaps I couldn't research enough. But, I have found the solution.

In the model the data is normalized by being devided by 255.

...
img = img / 255.0
img = cv2.resize(img, (64, 64))
...