Dear Ilastik developers,
I was wondering if it is possible to load an ilastik trained model in a jupyter notebook to apply the model prediction on?
Use case: The Ilastik workflow was trained on XY shape normalized images but the prediction needs to be applied on a directory of TXY shape images, timepoint by timepoint, after normalizing each timepoint in the same way as the training images. In this was the multicut workflow for example can be trained on a bunch of XY shape images but the prediction can then work on timepoint by timepoint and in a jupyter notebook enviornment?
This would be a more user friendly way of applying the prediction than going in the headless mode, which users on some OS may find difficult.
Also is there GPU support available during training and prediction?