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wifi-densepose
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docs: update README limitations — remove 2 resolved items 

Removed:
- "No pre-trained model weights" — weights now published (v0.5.4+)
- "Multi-person counting overcounts #348" — fixed by MinCut (ADR-075)

Added:
- Camera-free pose accuracy limitation (2.5% PCK@20, honest about it)

Co-Authored-By: claude-flow <ruv@ruv.net>
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ruv 2026-04-03 08:32:04 -04:00
parent 7a75277d58
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README.md
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@ -7,10 +7,9 @@
</p>
> **Beta Software** — Under active development. APIs and firmware may change. Known limitations:
> - No pre-trained model weights are provided; training from scratch is required
> - ESP32-C3 and original ESP32 are not supported (single-core, insufficient for CSI DSP)
> - Single ESP32 deployments have limited spatial resolution — use 2+ nodes or add a [Cognitum Seed](https://cognitum.one) for best results
> - Multi-person counting (n_persons) may overcount in single-occupancy scenarios ([#348](https://github.com/ruvnet/RuView/issues/348))
> - Camera-free pose accuracy is limited (2.5% PCK@20) — camera-labeled data significantly improves accuracy
>
> Contributions and bug reports welcome at [Issues](https://github.com/ruvnet/RuView/issues).