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From my understanding, the nnUNetv2_predict command preprocesses new images using the parameters established when preprocessing the training data/training the original model and then saves the output segmentations.
Is there a way to just run the preprocessing steps on new images using whatever parameters were established in training and save those preprocessed images? I have a new dataset that I want to preprocess using the exact parameters used to preprocess my original training data but do not want to run inference on them.
Thanks in adv.
James
The text was updated successfully, but these errors were encountered:
Hello,
From my understanding, the
nnUNetv2_predict
command preprocesses new images using the parameters established when preprocessing the training data/training the original model and then saves the output segmentations.Is there a way to just run the preprocessing steps on new images using whatever parameters were established in training and save those preprocessed images? I have a new dataset that I want to preprocess using the exact parameters used to preprocess my original training data but do not want to run inference on them.
Thanks in adv.
James
The text was updated successfully, but these errors were encountered: