Data preparation (DL3DV)
Defaults in tokengs/data/registry.py resolve dataset roots under the repository root:
| Path | Role |
|---|---|
data/dl3dv |
Training zips for DL3DV10K (e.g. DL3DV-ALL 960p undistorted). |
data/dl3dv_eval |
Eval set for DL3DVEval (e.g. DL3DV-10K-Benchmark). |
Implementation details for readers and transforms live in tokengs/data/static/dl3dv.py.
Symlinks (recommended)
From the repository root:
mkdir -p data
ln -snf /absolute/path/to/DL3DV-ALL-960P-undistorted data/dl3dv
ln -snf /absolute/path/to/DL3DV-10K-Benchmark data/dl3dv_eval
-snf creates or replaces a symlink. Relative targets (e.g. ../datasets/dl3dv) are fine if paths stay stable.
Overrides without symlinks
Pass kwargs the dataset constructor accepts (for example root_path) via Tyro. See dataset_kwargs on Options and run:
python -m tokengs.train --help
python -m tokengs.evaluate --help