Hi @slicer365,
Thanks for posting these questions/comments.
Just to clarify, you could fetch the Next Sample even if training is happening. No need to stop the training process. You could also run inference and training if you have enough GPU memory to do it.
If you want to run batch inference on more than one volume, you could run MONAI Label without starting it as a server. For this, just update the folder here (MONAILabel/main.py at main · Project-MONAI/MONAILabel · GitHub), model name here (MONAILabel/main.py at main · Project-MONAI/MONAILabel · GitHub - it should be “segmentation” or “deepedit” depending on the model you’re using) and then run the main file within the docker or virtual env like a standard python script: python main.py
This will run inference on all the unlabelled volumes.
For other users, here is a similar discussion: MONAILabel module should allow user to select different volumes in current scene · Project-MONAI/MONAILabel · Discussion #1354 · GitHub
Hope this helps