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Excuse me, I download a pre-trained models of natural variation(svhn-brightness.pt) from your library, it is a .pt file.
I want to know how to write the command G = MUNITModelOfNatVar(args.model_path, reverse=False).cuda() to get the model?
I see G = MUNITModelOfNatVar(fname, reverse=reverse, args=args).cuda() in the load.py, how should I add the args?
The text was updated successfully, but these errors were encountered:
where config is a path pointing to the .yaml configuration file for MUNIT. The relevant file for svhn-brightness.pt should be ./core/models/munit/munit.yaml
Excuse me, I download a pre-trained models of natural variation(svhn-brightness.pt) from your library, it is a .pt file.
I want to know how to write the command
G = MUNITModelOfNatVar(args.model_path, reverse=False).cuda()
to get the model?I see
G = MUNITModelOfNatVar(fname, reverse=reverse, args=args).cuda()
in the load.py, how should I add the args?The text was updated successfully, but these errors were encountered: