Dropped Ctrl+arrow (±0.1 s) and ,/. frame stepping — too fine for
spotting the barrier opening visually. Shift+arrow now jumps ±30 s
instead of ±1 s, which matches how analysts actually navigate (5 s
for fine, 30 s for skipping ahead). Drag the seekbar if you need
sub-second precision.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Each video row now carries a `metadata` dict aggregated from the
merged TSV: species, memory (STM/LTM), training_length_hr,
consolidation_length_hr, age, training/testing date-time, and
trained/naive fly counts. The UI renders these as a row of key:value
pills above the video, with the session role (training/testing)
colour-coded so the analyst can see at a glance what they're picking.
The merged TSV currently has duplicate rows per (date, machine, ROI);
the aggregator de-dups on those keys so counts aren't doubled. (The
duplication itself should be cleaned up upstream.)
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
A FastAPI app + plain HTML5 video page that replaces the matplotlib
picker. Browse to http://host:8000/, scrub through each video with
arrow keys (±5 s, ±1 s with Shift, ±0.1 s with Ctrl, ±1 frame with
,/.), and click one of three buttons:
- All barriers open — every ROI usable
- Upper barrier opens — ROIs 1,3,5 usable; lower row marked bad
- Lower barrier opens — ROIs 2,4,6 usable; upper row marked bad
The current playhead time is recorded as opening_s; bad_rois is set
accordingly. Also keyboard shortcuts (1/2/3 for the three modes,
s/u for skip/unusable). Refresh-safe: every submission persists to
data/metadata/barrier_opening.csv before advancing.
Server uses byte-range streaming so seeking inside long videos is
fast. Dockerfile + docker-compose.yml mount the data volume RO and
the metadata folder RW.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
