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I try to use QuickNAT to train my data but feel a bit confused about the usage and some arguments. Should we convert our data to h5 files first? If so, could you explain how to choose arguments like --data_id and --remap_config in convert_h5.py?
Could you offer some instructions or sample dataset/folder structure to demonstrate how to train the model?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
I try to use QuickNAT to train my data but feel a bit confused about the usage and some arguments. Should we convert our data to h5 files first? If so, could you explain how to choose arguments like --data_id and --remap_config in convert_h5.py?
Could you offer some instructions or sample dataset/folder structure to demonstrate how to train the model?
Thanks!
The text was updated successfully, but these errors were encountered: