From f03b484dd1339c1910667a444beb2e50e4b62620 Mon Sep 17 00:00:00 2001 From: ruv Date: Fri, 3 Apr 2026 08:32:04 -0400 Subject: [PATCH] =?UTF-8?q?docs:=20update=20README=20limitations=20?= =?UTF-8?q?=E2=80=94=20remove=202=20resolved=20items?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 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 --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index f774814d..69280f74 100644 --- a/README.md +++ b/README.md @@ -7,10 +7,9 @@

> **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).