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Description
This is an interesting project, and I'm trying to test it using Docker on my laptop running Ubuntu 24-bit.
It started successfully as instructed, but it always uses simulated data. How can I use real human detection data to verify the results? Thank you.
$ docker run -p 3000:3000 -p 3001:3001 ruvnet/wifi-densepose:latest
2026-03-01T15:11:19.108589Z INFO sensing_server: WiFi-DensePose Sensing Server (Rust + Axum + RuVector)
2026-03-01T15:11:19.108756Z INFO sensing_server: HTTP: http://localhost:3000
2026-03-01T15:11:19.108787Z INFO sensing_server: WebSocket: ws://localhost:3001/ws/sensing
2026-03-01T15:11:19.108789Z INFO sensing_server: UDP: 0.0.0.0:5005 (ESP32 CSI)
2026-03-01T15:11:19.108805Z INFO sensing_server: UI path: /app/ui
2026-03-01T15:11:19.108824Z INFO sensing_server: Source: simulated
2026-03-01T15:11:19.108834Z INFO sensing_server: Data source: simulated
2026-03-01T15:11:19.108845Z INFO sensing_server: Vital sign detector sample rate: 10.0 Hz
2026-03-01T15:11:19.109296Z INFO sensing_server: Simulated data source active (tick=100ms)
2026-03-01T15:11:19.109828Z INFO sensing_server: WebSocket server listening on 0.0.0.0:3001
2026-03-01T15:11:19.110210Z INFO sensing_server: HTTP server listening on 0.0.0.0:3000
2026-03-01T15:11:19.110218Z INFO sensing_server: Open http://localhost:3000/ui/index.html in your browser