pick_barrier.py loops over every tracked DB referenced by the merged
TSV, plots windowed mean inter-fly distance for all 6 ROIs in a single
figure, and lets the analyst click the moment the barrier opens. Saves
to data/metadata/barrier_opening.csv after each pick (crash-safe).
Auto-detector best-effort guess shown as orange dotted line — the
analyst always has the final say.
Output schema:
machine_name, session_date, session_time, opening_s, trim_first_s, notes
`trim_first_s` lets us record misframed starts so downstream code can
ignore the affected window. The 5 2025-07-15 entries are seeded from
the original legacy CSV so they're not re-picked.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
6 lines
459 B
CSV
6 lines
459 B
CSV
machine_name,session_date,session_time,opening_s,trim_first_s,notes
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ETHOSCOPE_076,2025-07-15,16-03-10,52,0,hand-annotated 2025-07-15 batch
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ETHOSCOPE_076,2025-07-15,16-31-34,94,69,first ~66s misframed (arena partly out of frame)
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ETHOSCOPE_145,2025-07-15,16-03-27,42,0,hand-annotated 2025-07-15 batch
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ETHOSCOPE_145,2025-07-15,16-31-41,89,69,first ~60s misframed (arena partly out of frame)
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ETHOSCOPE_268,2025-07-15,16-32-05,75,0,hand-annotated 2025-07-15 batch
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