59 lines
1.9 KiB
Markdown
59 lines
1.9 KiB
Markdown
# ruview
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**Ambient intelligence from WiFi CSI.** Detect human presence, count
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people, read breathing and heart rate, and estimate skeletal pose —
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using only the WiFi signal already in your home. No cameras. No
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wearables. Works through walls and in the dark.
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`ruview` is the brand-facing meta-package for the
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[RuView](https://github.com/ruvnet/RuView) sensing stack. It installs
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the compiled PyO3 wheel published as
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[`wifi-densepose`](https://pypi.org/project/wifi-densepose/) and
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re-exports its full API under the `ruview` namespace — so you can
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write either of these and they do the same thing:
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```python
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from ruview import BreathingExtractor, SensingClient
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from wifi_densepose import BreathingExtractor, SensingClient
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```
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## Install
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```bash
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pip install ruview # core DSP
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pip install "ruview[client]" # + WebSocket/MQTT clients
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```
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## Usage
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```python
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from ruview import BreathingExtractor
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br = BreathingExtractor.esp32_default() # 56 subcarriers @ 100 Hz, 30s window
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for residuals, weights in csi_source:
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est = br.extract(residuals=residuals, weights=weights)
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if est is not None:
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print(f"{est.value_bpm:.1f} BPM (confidence={est.confidence:.2f})")
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```
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Full API + WebSocket / MQTT / Home Assistant integration docs:
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[wifi-densepose on PyPI](https://pypi.org/project/wifi-densepose/).
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## Why two PyPI names?
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Historic: `wifi-densepose` is the technical / academic name (the
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project started as a WiFi-based DensePose implementation).
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`ruview` is the brand the v2 ambient-intelligence platform ships
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under. Both are the same code. You pick the import that reads
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better in your project.
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## Links
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- **Repository** — https://github.com/ruvnet/RuView
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- **Modernization plan** — [ADR-117](https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md)
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- **Issues** — https://github.com/ruvnet/RuView/issues
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## License
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MIT.
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