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2026-09-09 21:44:05 -05:00

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# Terp
Terp (short for interpreter) is an image classifier tuned to identify the contents of an image. The image itself is unchanged, but the medtadata has the detections tagged on.
# TODO
- Per-frame classification, workgroup of N threads keeps it parallel. Passed through pipeline, stages are variable and determined by the number of classifiers available.
- Go/No-Go on a per-clip basis for generalized detection of larger classifications
- Motion is NOT detected at this stage. Motion detection is handled on an earlier stage of the pipeline.