what is the scope of our image models?

There is a bit of a disagreement between Soledad Villar (JHU) and me on the scope of the methods that we are building to operate on images of scalars, vectors, and tensors. Soledad's view is that they apply to physics problems, like fluids. Mine is that they apply to absolutely every image of every kind ever taken, like vacation snapshots. Today we had a meeting with Drummond Fielding (Flatiron) and Wilson Gregory (JHU) about making some training data from a small 2D fluids simulation. (That is, we were adopting, for today, Villar's position on our scope.) Apparently 2D fluids is a standard problem in machine learning these days? I can't imagine why. But anyway, on the call, Fielding promised to make us some toy data. And, tonight, he did. Awesome!