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Implementation of NvNet
thanks for your codes!
but there is no data_preprocess.py in your files~
Do you know where I can download weight checkpoints?
First time doing project like this, so if someone could help me I would be more than appreciated!
Hello, Could you share your performance on the validation set? Does it similar with the paper report?
Waiting for your submission file!
Could you please show the file and folder stucture you use in your program package
Thank you
Hi
I am also implementing this algorithm and I want to check something with you...
I see that in your implementation you set the number of groups to 8:
num_groups=8
self.norm1 = nn.GroupNorm(num_groups=num_groups, num_channels=inChans)
But in the paper myronenko says literally:
GN stands for group normalization (with group size of 8)
so this can also understood that each group has 8 channels and therefore
num_groups = inChans/8
What do you think?
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