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  • Reconstructed images/RD curves/etc
  • Ensure everything installs/downloads/builds/trains/evaluates (100% reproducibility)
  • Add Dockerfile
  • Add dataset downloading/parsing scripts
  • Upload pretrained models (that are compatible with "um-pcc-cls-only-pointnet")

For clarity:

  • Full documentation of usage
  • Use same config structure for g_a.transform.pointwise
  • rate_format = "bpp|bit" (reduce confusion when using bpp when it's actually bit)