search

MASILab / 3DUX-Net

240 stars 33 forks source link

AMOS2022 #12

Closed pandajok closed 1 year ago

pandajok commented 1 year ago

Hello, thank you for sharing in the paper. I met some problems when training with amos2022 data set, could you help me solve them? /3DUX-Net/networks/UXNet_3D/network_backbone.py self.out = UnetOutBlock(spatial_dims=spatial_dims, in_channels=48, out_channels=self.out_chans) TypeError: not all arguments converted during string formatting

leeh43 commented 1 year ago

Thank you for your interest towards our paper and GitHub. The above comment is referring to the type of your arguments, which should be self.out_chans in string format. Please change to int(args.pretrain_classes) in model definition in main_finetune.py and see if it solves the problem or not.

pandajok commented 1 year ago

@leeh43 Thank you very much for your help, the code has been trained now!