Excuse me, which images are to be trained for --image and --mask_path?
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Hello, author. I am trying to train the AROI dataset using your model. I set the paths for the original images and label images as --image AROIonline/inter_intra/raw and --mask_path AROIonline/inter_intra/groundTruth, respectively. I trained for 32 epochs with a learning rate of 0.05, but the IoU was only 0.016 after training. Could you please advise on how to correctly set the paths for the original images and label images? Thank you.
Additionally, I have not processed the AROI dataset, and I set numClass to 256. What other steps are necessary to achieve approximately 40% as mentioned in your paper?
Thank you for your question. You can set the --mask_path
for the AROI dataset to patient/mask/number
. For example, patient12/mask/number
and set the --image
to patient12/raw/labelled
.