How to process images of different sizes?

[vanhuyz]

How to process images of different sizes?

[xymeng16]

Well, I try to apply padding and resize the picture before the input but sadly neither showed a good performance(my application is car license plate generation, which has a fixed size and aspect ratio). So I traverse the code and find I need to modify the implementation of some layers in ops.py. I think I will open a PR after finishing it. @Kongsea

[ngeorgis]

Some info here #42

[Kongsea]

Thank you.
It said the input images need to be squared, however, my images are not.
How to process it or modify the code?

[ngeorgis]

Yes, seem that they need to be square images. Not sure if it is an easy modification to change the source to support non-square images. I may try later. In the meantime, maybe scaling or padding could work but that may depend on your application.

[Kongsea]

Thank you. I will try it too.

[xymeng16]

Have u guys got some results on the non-squared images? I'm working on it too.. @Kongsea @ngeorgis

[Kongsea]

Have you achieved it? @xymeng16

[Kongsea]

Look forward to it.

[mattchiang-gsp]

Just to be clear, is this discussion about "training" on various/bigger image sizes like 512x512 or "evaluating" a model on different sized inputs?

[Zxr1314]

@xymeng16 I try to apply the code on PR data generation,too! You can modify the code to process different W and H size plate images.

[XuJ1E]

Hello! Is there anyone solve the problem :input image size over 256 ?such as 512 or higher