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I'd shipped the Rust cog-pose --adapter *consumer* (+test) but there was no *producer* for cog-format adapters, leaving it a half-feature. cog_calibrate.py fits a rank-r LoRA on the cog conv+MLP head (pose_v1.safetensors, 56x20) from a labeled in-room capture and writes a safetensors with fc1.a/fc1.b/fc2.a/fc2.b (scale baked into b) — exactly what the Rust engine loads. Verified against the in-repo pose_v1.safetensors: correct keys/shapes, reduces fit error, active adapter, ~2.6KB. Adds test_cog_calibration.py (passes) + README documenting the two non-interchangeable producers (transformer .npz vs cog safetensors). Co-Authored-By: claude-flow <ruv@ruv.net>
2.7 KiB
2.7 KiB