Hello,
I am trying to utilize the following open source 3D Unet: https://github.com/wolny/pytorch-3dunet 29
The repository includes links to train/eval/test data as well as config files to replicate their results however when I test, I notice that the output from the network has odd float values ie. -7.0234. I assumed the output would be a mask, [0,1] as it is a binary segmentation. Is there an operation I have to perform on the data to get it in correct mask format?
The following is included in the config code so I thought that would handle it and give me proper mask values?
  final_sigmoid: true
  is_segmentation: true

@ptrblck (Tagging because you have helped so many times when I reply and reading your replies to others haha)
Any help appreciated,
Kyle