onboard

Get a newcomer from nothing to a working RuView setup. First fact to set: WiFi

sensing infers coarse pose/presence/breathing from Channel State Information — it

is not a camera, and any accuracy number must be MEASURED against a baseline

(use the verify skill / ruview_claim_check tool). Never present WiFi output as

camera-grade.

Pick a path

Run ruview_onboard {path} or decide from:

1. docker-demo — fastest, no hardware. Replays sample CSI into the dashboard.

docker run -p 8000:8000 ruvnet/wifi-densepose → open http://localhost:8000.

Use to see what it looks like.

1. repo-build — for developers. cd v2 && cargo test --workspace --no-default-features

(1,031+ tests pass), then cargo run -p wifi-densepose-cli -- --help.

1. live-esp32 — a real install. Flash a node (provision-node skill), point it at

the sensing-server, then calibrate-room. This is the only path that senses a real room.

Then

• Live sensing → go to provision-node, then calibrate-room.
• Evaluating a model/claim → go to verify and run ruview_claim_check on any

report before you quote a number.