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Developer finds AI video background removal fails mid-clip despite clean first frames

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A developer testing an AI video matting tool discovered that checking only the first frame and midpoint of output clips is an unreliable quality check. Using the RVM-based Compatible model on a crowd scene, the lead subject appeared correctly at the start but had completely vanished from the output by the 10-second mark. A separate test with a clip beginning on an empty street showed the model adapted instantly to a person appearing after a hard cut, with negligible difference from a normal clip. The developer now extracts one frame per second using ffmpeg to build a full visual grid for review rather than spot-checking. The findings are based on two specific test cases and are not presented as general conclusions about the model.

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Developer finds AI video background removal fails mid-clip despite clean first frames · ShortSingh