Cubed read-trust v1
A dependency-free, NumPy-only classifier used by Cubed Core to assign a trust weight to each per-cell color read. It is not a tracker, cube-state estimator, or camera-to-moves decoder.
Files
| File | Purpose | SHA-256 |
|---|---|---|
trust_v1_numpy.npz |
Distilled read-trust model | 3f40e5d5f5f385f8b96547de11b0d92f17d5aa5575302646338e273fb0c5bfd7 |
calibration_gan12.json |
Companion six-color gtD1 calibration | c259404e7257fa83f4dabf33286dd49cb20696e3216804aa0aaf9010529c48e1 |
Use Cubed Core's Decode guide for the supported setup. Pin an exact repository revision for reproducible use.
Limits
The model and calibration are tied to the maintainer's cube, camera, and lighting. They are unmeasured on unrelated setups and make no standalone accuracy, decode, or generalization claim. The unavailable source model and training corpus prevent a public byte-for-byte rebuild.
The owner-authored model and calibration are AGPL-3.0-only.