Start using RuView by choosing a Docker demo, a source build, or a live ESP32 setup. The skill guides the next concrete step, distinguishing sample data playback from sensing an actual room with WiFi signals.
Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
Review the instructions the agent will receive before you install.
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.
Run ruview_onboard {path} or decide from:
docker run -p 8000:8000 ruvnet/wifi-densepose → open http://localhost:8000.
Use to see what it looks like.cd v2 && cargo test --workspace --no-default-features
(1,031+ tests pass), then cargo run -p wifi-densepose-cli -- --help.provision-node skill), point it at
the sensing-server, then calibrate-room. This is the only path that senses a real room.ruview_claim_check on any
report before you quote a number.No reviews yet. Tell others what you thought.
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