nnUNet
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inference error!
I am reasoning with the command !CUDA_VISIBLE_DEVICES=0 nnUNetv2_predict -i $INPUT_FOLDER -o $OUTPUT_FOLDER -d 1 -c 3d_lowres --save_probabilities -f 0
I get the following error: RuntimeError: Background workers died. Look for the error message further up! Use fewer workers or get more RAM in that case!
But I checked the cpu and gpu utilization is 0
@ancestor-mithril How to set MKL_SERVICEFORCE_INTEL? Please tell me in detail thanks!
https://stackoverflow.com/q/66932956
@ancestor-mithril thank you very much! I update the version of numpy, and it's work now! But there is another error as follows:
How can I pre-process the images so that they have the same size? My image format is nii.gz.
You can use skimage.transform.resize
, but I do not understand why it says "There are 1 cases in the source folder".
@ancestor-mithril because i only use one-fold
Hi wade0604, How many cases do you have in that validation fold? It seems for me that nnUNet identifies 10 cases as 1 multi-channel data and that's why you get this error. Is it possible that your file naming is not correct?