ahmadmubashir

what will be the input image?

4

should we give the input the whole 3D CT images? please explain it the folder name 'train/ct' and 'train/seg' please also explain it. Thanks

runfile('C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master/train.py', wdir='C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master') Reloaded modules: torch._utils, torch.version, torch._C, torch.serialization, torch._tensor_str, torch.storage, torch.tensor, torch.functional, torch.cuda, torch.cuda.random, torch.cuda.sparse, torch.sparse, torch.cuda.nvtx, torch.cuda.streams, torch.autograd, torch.autograd.variable, torch.utils, torch.utils.hooks, torch.autograd._functions, torch.autograd._functions.basic_ops, torch.autograd.function, torch._six, torch.autograd._functions.utils, torch.autograd._functions.tensor, torch.autograd._functions.pointwise, torch._thnn,...

I trained my dataset on 32 by 32 by 16 patch size. now i dont know how to segment my new volume. which code i should follow?