How to test the code on custom data?

[moein-shariatnia]

How to test the code on custom data?

[moein-shariatnia]

Hi Parth,
I hope you're doing great!

Sorry for my late reply; got busy with university for a while and missed your issue.
Have you tried the infer.py file in the repo? I show there how to run the model for a single image.

[raws84]

Hi Moein,
It looks like there is some difference in keys in the saved model and model architecture. While using the infer file, I am getting the following error. Any thoughts on how to fix this?

model initialized with norm initialization
model initialized with norm initialization

RuntimeError Traceback (most recent call last)
in <cell line: 11>()
9 saved_model_dict = torch.load('final_model_weights.pt', map_location=device)
10 model = MainModel()
---> 11 model.load_state_dict(saved_model_dict)
12
13 # Load the black and white image and resize it

/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py in load_state_dict(self, state_dict, strict)
2039
2040 if len(error_msgs) > 0:
-> 2041 raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
2042 self.class.name, "\n\t".join(error_msgs)))
2043 return _IncompatibleKeys(missing_keys, unexpected_keys)

RuntimeError: Error(s) in loading state_dict for MainModel:
Missing key(s) in state_dict: "net_G.model.model.0.weight",