I’m working with satellite data (multi-spectral). Intuitively it makes sense to me to use fastai by subclassing what is already there — either at the level of the application (i.e. making a ‘multispectral’ application in parallel to the existing vision, etc.), or by subclassing classes in the vision application to add more channels.
It is a pretty large amount of code either way, so I’m looking for advice on what approach to take before I simply jump in.
Has anybody had experience doing this — or is there even maybe a blog article somewhere on it? (I’ve looked but not found any.)