Rust library ez-ffmpeg 0.15 offers single-call in-process video frame extraction

Extracting video frames in Rust for machine learning inference has long required either shelling out to FFmpeg via the command line or hand-writing a low-level decode loop spanning dozens of lines. The newly released ez-ffmpeg 0.15 introduces a FrameExtractor API that handles frame extraction in-process with a single function call, returning tightly packed RGB24 bytes ready for use with tensors or ndarray. The library supports flexible sampling strategies, including uniform frame distribution across a video clip, making it well-suited for vision-language model pipelines. A notable issue with many existing approaches — incorrect application of BT.601 color coefficients to HD video, causing subtle color distortion — is also addressed by the library. ez-ffmpeg links against libav through ffmpeg-next and requires FFmpeg 7.1 or later to be installed on the system.