Minimum size for training

[ramonhollands]

Hi Shihan Liu,

What is the reason there is a minimum input size for the model? In my experiments 192x192.

What would be needed to adapt the model to handle smaller sizes, eg 96x96?

Best regards, Ramon

[LSH9832]

see params/train/train_settings.yaml

input_size: [672, 672]   # image input size for model
multiscale_range: 5      # real_input_size = input_size + randint(-multiscale_range, multiscale_range) * 32

so if you want to use a very small size, just set multiscale_range to zero

[verrassendhollands]

Thanks for your answer!

I fixed it by preventing random_resize (trainer.py) on small inputs, but this is the improved way.