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!
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!