This repo provides a clean implementation of EfficientNet.
- fix null training values
- do everything in color as float32
- samples by pixels without a mask shouldn't add to loss
- decide whether a pixel can be marked as multiple masks or not
- if it can be, the comparison code needs to be
&
not==
- if not, just label each pixel with the appropiate index
- and either way, the maximum number of masks should be encoded differently
- if it can be, the comparison code needs to be
- train ResUNet for pixelwise embedding and use UMAP to color the output
- Stop this from happening (?)
- Test TPU compat