ruvnet--RuView

mirror of https://github.com/ruvnet/RuView synced 2026-06-09 10:13:17 +00:00

Files

T

ruv cd1c391afc feat(worldmodel): ADR-147 Phase 3+5 — RuViewOccDataset domain adapter + retraining pipeline

Phase 3 — scripts/ruview_occ_dataset.py:
- RuViewOccDataset: WorldGraph JSON snapshots → OccWorld (F,H,W,D) tensors
- Indoor class remapping: person→7, floor→9, wall→11, furniture→16, free→17
- Zero ego-poses (fixed indoor sensor, no ego-motion)
- record_snapshot() helper for training data accumulation
- Validated: 5 windows, (16,200,200,16) tensor, person+floor voxels confirmed

Phase 5 — scripts/occworld_retrain.py:
- record: stream WorldGraph snapshots from sensing server REST API
- vqvae: fine-tune VQVAE tokenizer on RuView occupancy (200 epochs, AdamW)
- transformer: fine-tune autoregressive transformer with frozen VQVAE

wifi-densepose-worldmodel v0.3.0 published to crates.io

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-05-29 18:46:56 -04:00

.cargo

fix(security): audit — fix RUSTSEC vulns, clippy warnings, dead code (#769 )

2026-05-23 05:36:13 -04:00

.claude-flow

chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427 )

2026-04-25 21:28:13 -04:00

crates

fix(worldmodel): use published worldgraph v0.3.0 instead of path dep (crates.io publish prep)

2026-05-29 18:43:35 -04:00

data

chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427 )