PhyDNet
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Bigger input images
Hello, I'm trying to use this model to predict cloud movement on 256x256 images. I want to base the model on the one you used for SST but I'm not sure I can replicate it.
Which values did you use here and could you recommend me what would you use for 256x256 images?
phycell = PhyCell(input_shape=(64,64), input_dim=64, F_hidden_dims=[49], n_layers=1, kernel_size=(7,7), device=device)
convcell = ConvLSTM(input_shape=(64,64), input_dim=64, hidden_dims=[128,128,64], n_layers=3, kernel_size=(3,3), device=device)
Are there other params of the architecture I should change?
Thanks for the code, I think it looks very promising for what I'm trying to do