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@@ -50,7 +50,7 @@ See [PR #405](https://github.com/ruvnet/RuView/pull/405) for full details.
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### What's New in v0.7.0
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<details>
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<summary><strong>Camera Ground-Truth Training — 92.9% PCK@20</strong></summary>
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<summary><strong>Camera Ground-Truth Training</strong></summary>
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**v0.7.0 adds camera-supervised pose training** using MediaPipe + real ESP32 CSI data:
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@@ -76,15 +76,20 @@ node scripts/train-wiflow-supervised.js --data data/paired/*.jsonl --scale lite
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node scripts/eval-wiflow.js --model models/wiflow-real/wiflow-v1.json --data data/paired/*.jsonl
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```
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**Result: 92.9% PCK@20** from a 5-minute data collection session with one ESP32-S3 and one webcam.
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> **Accuracy retraction (2026-06-10):** the "92.9% PCK@20" figure previously
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> shown here is retracted. A forensic recheck of the surviving eval holdout
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> (69 samples) found a constant-output model scored with an absolute
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> (non-torso-normalized) threshold on nearly-static frames — a protocol under
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> which a trivial mean-pose predictor scores 100%. Torso-normalized PCK@20 on
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> the same holdout is ~19% (from that degenerate predictor). No measured
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> camera-supervised PCK@20 is currently published (CHANGELOG, PR #535).
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| Metric | Before (proxy) | After (camera-supervised) |
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|--------|----------------|--------------------------|
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| PCK@20 | 0% | **92.9%** |
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| Eval loss | 0.700 | **0.082** |
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| Bone constraint | N/A | **0.008** |
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| Training time | N/A | **19 minutes** |
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| Model size | N/A | **974 KB** |
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| Metric | Camera-supervised run (protocol retracted) |
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|--------|--------------------------------------------|
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| Eval loss | 0.082 |
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| Bone constraint | 0.008 |
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| Training time | 19 minutes |
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| Model size | 974 KB |
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Pre-trained model: [HuggingFace ruv/ruview/wiflow-v1](https://huggingface.co/ruv/ruview)
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@@ -868,7 +873,7 @@ Download a pre-built binary — no build toolchain needed:
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| Release | What's included | Tag |
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|---------|-----------------|-----|
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| [v0.7.0](https://github.com/ruvnet/RuView/releases/tag/v0.7.0) | **Latest** — Camera-supervised WiFlow model (92.9% PCK@20), ground-truth training pipeline, ruvector optimizations | `v0.7.0` |
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| [v0.7.0](https://github.com/ruvnet/RuView/releases/tag/v0.7.0) | **Latest** — Camera-supervised WiFlow model (accuracy figure retracted 2026-06-10, see above), ground-truth training pipeline, ruvector optimizations | `v0.7.0` |
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| [v0.6.0](https://github.com/ruvnet/RuView/releases/tag/v0.6.0-esp32) | [Pre-trained models on HuggingFace](https://huggingface.co/ruv/ruview), 17 sensing apps, 51.6% contrastive improvement, 0.008ms inference | `v0.6.0-esp32` |
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| [v0.5.5](https://github.com/ruvnet/RuView/releases/tag/v0.5.5-esp32) | SNN + MinCut (#348 fix) + CNN spectrogram + WiFlow + multi-freq mesh + graph transformer | `v0.5.5-esp32` |
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| [v0.5.4](https://github.com/ruvnet/RuView/releases/tag/v0.5.4-esp32) | Cognitum Seed integration ([ADR-069](docs/adr/ADR-069-cognitum-seed-csi-pipeline.md)), 8-dim feature vectors, RVF store, witness chain, security hardening | `v0.5.4-esp32` |
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