Context images, revisit

[kasra-hosseini]

Summary

In MapReader, we have the functionality to create model ensembles, i.e.:

We have tested this on some examples but not on our current labelled data. The idea here is to test this functionality on train/validation sets.

TODO

• Review: https://github.com/Living-with-machines/MapReader/blob/main/mapreader/train/classifier_context.py
• Check the notebook (not on github)
• How to set context size, NN architectures and ... hyperparams.
• Create a tutorial

[kallewesterling]

@rwood-97 I'm going through old issues and it looks like #350 should have closed this issue. Am I correct in assuming that? Or is there anything else needed? (like a tutorial?)

[rwood-97]

Hi,

I've got a second open PR (#296) on this which is updating the two branch version of the context classifier. Ideally we need to merge this, test it vs the single branch context classifier (#350) and then work out which one works better.

We probably should then add some guidance for how to use it, I've got a notebook so far but I'm not sure how good/bad the performance is.