A dependency-free (pure standard-library) Python tool for the AFTER-LAUNCH monitoring operation this article describes — distinct from the pre-launch gate (5.5) and regression suite (5.6). It does NOT decode video or compute VMAF/P.1203 itself; it consumes records you have already measured (a no-reference/bitstream score, or a player 'below-target' flag) and runs the two pieces of math the article centers on. (1) SAMPLING PLAN: sizes a representative sample from the margin of error you want, mar
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The handbook · 7 volumes
Fora Soft Video Engineering Handbook
This production quality monitor plans how many sessions to sample after launch and raises per-segment alerts from scores you already measure. We wrote seven volumes on the video stack; Volume 3 is the place to start for QoE monitoring, players and ABR in production, with Volume 1 on quality metrics and Volume 6 on the AI models behind no-reference scoring. Written by Nikolay Sapunov, CEO at Fora Soft.
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