Disable YOLO training plot side effects
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@@ -11,6 +11,7 @@
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- Added `scripts/export_operator_yolo_dataset.py` to convert prepared operator orthophoto/GRB sample pairs into a standard local YOLO detection dataset with `dataset.yaml`, train/validation image folders, label folders and `yolo_dataset_summary.json`.
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- Added `scripts/train_operator_yolo_detector.sh` as an operator-only training smoke wrapper that uses an existing local base `.pt` model and writes a trained local `.pt` artifact plus `training_summary.json`.
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- Disabled Ultralytics plot generation in the training wrapper so the smoke path avoids auxiliary plot/font network behavior.
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- Added readiness coverage for the exporter Python compile check and training wrapper shell syntax.
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- Added regression coverage in `backend/tests/test_sprint129_operator_yolo_training_dataset.py`.
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- Updated operator documentation for dataset export, training smoke usage and the requirement to benchmark any trained model through the existing real-data Detection + QA matrix before treating it as useful.
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