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Seed YOLO training font locally
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2026-07-07 05:27:43 +02:00
parent 3524ee7fb2
commit 39367684d8
3 changed files with 23 additions and 1 deletions
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docs/CODEX_EXECUTION_LOG.md
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@@ -23,7 +23,7 @@ Tested:
- `bash -n scripts/train_operator_yolo_detector.sh` passed.
- Live Tower export passed: `/app/storage/operator-data/yolo-building-dataset` contains 3 images and 1427 labels from the current Geel/Mol/Turnhout samples.
- Live Tower training smoke passed with the existing `/app/models/yolov8n.pt` base model and wrote `/app/models/geointel-building-yolov8n-smoke.pt`.
- The first live smoke showed Ultralytics fetching an auxiliary plot font. The wrapper now sets `plots=False` so the operator smoke path does not invoke plot/font network behavior.
- The first live smoke showed Ultralytics fetching an auxiliary plot font. The wrapper now sets `plots=False` and seeds `Arial.ttf` from an existing local system font before importing Ultralytics so the operator smoke path does not invoke plot/font network behavior.
Open:
- Run the exporter and training smoke inside the AI-enabled Tower runtime, then benchmark the trained artifact through the existing multi-sample Detection + QA matrix.