(wip) n-channel imagery and improved show funcs in show_batch, train loop, and show_results #90
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this pr is tabled due to issues with fastai assuming 3 channels
*no pretraining without norm result sin val loss and metric not changing, and all predictions being the same, with two pixels in lower right hand corner
These issues seem to stem from using a custom TensorImage class and discarding the use of PIL. This is the main difference between single channel CV1 and single channel CV2.