Feature request: Weka Integration

[tferr]

We should make it easier to train a classifier from within SNT.
Currently one has to:

1. Do some tracing
2. Send traced paths as ROIS to WEKA
3. Classify image
4. Save p-map
5. Load p-map as secondary image

It would be nice to at least automate some of this: E.g. a GUI command (a script?) that does 1) and 2), or/and an API that facilitates 1) to 5).
@carshadi, what do you think?

[carshadi]

This would be awesome. I was looking at the Weka scripting examples here and it seems like it would be relatively straightforward. Maybe start with a script to prototype, then create an API/GUI commands?

Being able to pass Fills would be nice too, but that might be somewhat less trivial?

[tferr]

Using fillings would be nice, but we will need to work on it more deeply. Currently there is no formal way to store fillings. We are simply storing enough information for the filler to know where to resume. It was been a while since I looked at the filler. Which is to say: yes, I predict lots of work there.

But starting with the script with ROI sounds good! I will assign you to this too, but feel free to remove yourself if you cannot commit (pun intended 😄 )