Hello~I want ask one question.Why use the crop function to adjust images to input network rather than use the resize function?

[Shiny-ZhangXiXin]

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FAQs

• Question: I got an InvalidArgumentError saying that Dimensions of inputs should match Answer: See issue Command line arguments for crop_height and crop_width creates exception #17

• Question: Can you upload pre-trained weights for these networks? Answer: See issue Trained parameters for all models #57

• Question: Do I need a GPU to train these models? Answer: Technically no, but I'd highly recommend it. I was able to train the models pretty well in about a day using a 1080Ti GPU. Training on CPU would take much longer than that.

• Question: Will you be adding the FCN or U-Net models? Answer: No I won't be adding those simply because they're a few years old and state-of-the-art has moved past that.

• Question: I got an invalid argument error when using the InceptionV4 model. Am I doing something wrong? Answer: No you're not! Due to the design of the InceptiveV4 model, when you end up upsampling you do some rounding which creates a shape mismatch. This only happens when you end up having to use the end_points['pool5']. See the code for some of the models if you want to check whether the model will use end_points['pool5'].

[ghost]

Did you find out why this was the case? I am also wondering the same thing.