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wifi-densepose/harness/ruview/skills/onboard.md

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onboard Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.

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.
  2. repo-build — for developers. cd v2 && cargo test --workspace --no-default-features (1,031+ tests pass), then cargo run -p wifi-densepose-cli -- --help.
  3. 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.