How to test the code on custom data?

[ParthKalkar]

I went through your codebase and it is excellently explaining the whole process, but I could not find how to test the model for custom images after training.

I was thinking to extend this project and use this model for a webapp. Therefore, I need to know how to test it for custom images?

[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",

[soumyamindfire]

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",

Load the ResNet weights as well. You have to train and save the weights.