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View Code? Open in Web Editor NEWRefineNet-101 VOC in PyTorch
License: Other
RefineNet-101 VOC in PyTorch
License: Other
First of all thanks for the code. I'm just starting to play around with these things and find very useful.
Just one thing.. to run on CPU I had to add this parameter map_location='cpu' to function load_state_dict of resnet.py, otherwise the notebook will give error on deserialization.(cell 5) and also removed ".cuda()" from here:
segm = mnet.cuda()(img_inp)[0].data.cpu().numpy().transpose(1, 2, 0)
Is this correct or I miss something ?
Hi @DrSleep
Thanks for your code. I was wondering if you have tested this code on any dataset? If yes, could you please provide me a sample result for the same? I want to try running your code on CityScapes, but thought of checking with you first whether you've any reference results available? Thanks again!
refinenet-pytorch/models/resnet.py
Line 214 in 8f25c07
why F.ReLU
here? Need to be no-inplace here?
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