One of the more "hidden" features of nnUNet is training with -f all, which uses all the available data for training, and validation. Using all in the fold box causes a failure to predict, as the plugin assumes that the fold is always a number.
Current workaround is to rename the all fold in the file tree to some number and rerunning the prediction.
One of the more "hidden" features of nnUNet is training with
-f all, which uses all the available data for training, and validation. Usingallin the fold box causes a failure to predict, as the plugin assumes that the fold is always a number.Current workaround is to rename the
allfold in the file tree to some number and rerunning the prediction.