For the output/input format of these tools, also see Abstract structures.
actions_to_intervals.py-- reads bag files and produces an interval file containing type, id, start/end time and outcome
event_hist.py-- reads an interval file and produces a 10-millisecond histogram of message count
intervals2eaf.py-- converts an interval file to ELAN tiers (one tier per type)
normalize.py-- subtracts a numeric offset from a specified set of columns. Used for time-normalization, e.g., for ELAN, because ELAN uses the video-start time as zero time, so message data using absolute times has to be normalized to the absolute start time of the video.