Add annotation UI for building a custom training dataset
New page /event/{id}/annotate:
- Frame selector grid (all frames from the event)
- Canvas with click-and-drag rectangle drawing to mark the plate bbox
- Touch support for tablets
- Plate text input (pre-filled with auto-detected plate)
- Saves image + YOLO label (.txt) + plates.csv to /data/annotations/
- Stores annotation metadata in DB (annotations table)
/dataset/export serves a ZIP with images/, labels/, plates.csv and
a data.yaml ready for YOLOv8/v9 fine-tuning on Google Colab.
"Annoter" button added to event detail header.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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co-authored by
Claude Sonnet 4.6
parent
9b3720c424
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fd52942bd1
@@ -35,6 +35,7 @@
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<a href="/" class="btn-ghost">← Retour</a>
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<span class="text-xl">🚗</span>
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<span class="font-bold flex-1">{{ ev.time_str }}</span>
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<a href="/event/{{ ev.id }}/annotate" class="btn-ghost">✏ Annoter</a>
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{% if ev.plate %}
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{% if is_whitelisted %}
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<form action="/whitelist/remove/{{ ev.plate }}" method="post">
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