Integrating @schwarztim's PR #491 into main on their behalf — their fork has
fallen too far behind for a clean rebase (the PR's commit graph dropped
silently during `git rebase origin/main`), so applying as a merge from the
fork head to preserve the diff cleanly.
What this lands:
- `RollingP95` adaptive normaliser for the person-count feature scaling.
Streaming P95 over a 600-sample / ~30 s sliding window. Cold-start
(<60 samples) falls back to the legacy denominators (variance/300,
motion_band_power/250, spectral_power/500) so day-0 behaviour is
preserved on every deployment.
- `RuntimeConfig` struct + `load_runtime_config` / `save_runtime_config`
persisted to `data/config.json`. Exposes `dedup_factor` via REST so
multi-node deployments can tune cluster-deduplication without a rebuild,
including an auto-tune endpoint that derives optimal dedup from a known
person count (calibration mode).
- `compute_person_score()` now takes &AppStateInner alongside &FeatureInfo
so the adaptive denominators are reachable. All 3 call sites updated.
- New `AppStateInner` fields: `p95_variance`, `p95_motion_band_power`,
`p95_spectral_power`, `dedup_factor`, `data_dir`.
Closes#491. Directly addresses:
- #499 (double skeletons, multi-node) — the slot-clustering problem this
PR's adaptive normaliser was designed to fix
- #519 Bug 1 (ghost person detection on edge-tier 1 & 2 multi-node)
- #496 (person count over-reporting on single-room single-person)
Verified locally:
- cargo check -p wifi-densepose-sensing-server --no-default-features: 1.0s
- cargo test -p wifi-densepose-sensing-server --no-default-features --lib:
233/233 passed in 25.0s
Co-authored-by: @schwarztim
Co-Authored-By: claude-flow <ruv@ruv.net>
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