# 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.