Data Capture - Current Verified Paths

This page documents what the current code can record. It does not claim that a specific training run has already consumed the data unless a run artifact is identified. - schema version; - dimensionality; - timestamp; - frame number; - optional bar number; - optional track name; - optional track time; - 128D input; - four audio parameter groups; - seven camera scores; - cut timing; - pattern intensity and variation; - phrase lifecycle; - gesture probabilities; - phase; - regime; - calibration confidence; - latency. The logger captures SAN's flat input and SAN output at runtime. It is useful for: - replay analysis; - checking whether SAN output is flat or moving; - future supervised training; - comparing heuristic vs SAN-blended outputs; - correlating track metadata with body state. - the current SAN weights were trained from this session; - the session was accepted into a training set; - a train/validation split exists; - the model improved; - Rekordbox gestures worked; - mocopi, watch, and camera were all active.