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(wip) n-channel imagery and improved show funcs in show_batch, train loop, and show_results #90

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@rbavery rbavery commented Jun 6, 2022

this pr is tabled due to issues with fastai assuming 3 channels

  • callbacks error by assuming three channels
  • pretraining assumes 3 channels
  • default normalization converts to 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.

@rbavery rbavery changed the title n-channel imagery and improved show funcs in show_batch, train loop, and show_results (wip) n-channel imagery and improved show funcs in show_batch, train loop, and show_results Jun 6, 2022
@rbavery rbavery marked this pull request as draft June 24, 2022 16:47
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