Deploy ImPartial as a service

[ricdodds]

After implementing the original ImPartial pipelines as a MONAI Label app and developing an ImageJ/Fiji plugin that interacts with this API, we now need define the AWS infrastructure that would allow multiple users to benefit from the system.

Some of the requirements are:

• The service is publicly available but with restricted access. The restrictions are not completely defined yet but some ideas are to limit the number of iteration to 3, which is equivalent to give the user access to train for around 300 epochs. Another restriction would be to limit the availability time on 2hrs per session.
• The user interacting with ImPartial would have access to a dedicated GPU resource within the restrictions mentioned above.
• The user will upload their dataset and submit annotations through the ImageJ plugin.
• Once the session is over, the user will be able to download the labels for the full dataset and the last checkpoint of the trained model.
• In exchange for this free resource, we (ImPartial) will store all of the uploaded dataset, submitted labels and trained model.