- 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)