| # Varroa: three YOLOv8-P2 ASRM variants |
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| Standalone package for training the three current ASRM architectures on the Varroa |
| dataset. It is isolated from LEVIR-Ship and from the original Varroa project. |
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| Cases: |
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| - `p2_asrm_fusion` |
| - `input_asrm_auxiliary` |
| - `input_asrm_guided_p2` |
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| The notebook follows `Varroa/YOLO_custom/HF_YOLO_version_workflow.ipynb`: |
| `gt_one`, infected images only, class token 3 mapped to class 1, fixed conversion |
| split seed 42, pretrained `yolov8n.pt`, image size 640, batch 16, 100 epochs, |
| patience 20, workers 4 and training seeds 42/43. |
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| The raw archive retains the original train/val/test layout. `prepare_dataset.py` |
| deduplicates the positive CSV records and creates a reproducible 70/15/15 Ultralytics |
| layout. All cases and training seeds use that same converted dataset. |
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| Outputs: |
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| - `test_metrics.json` per case/seed; |
| - `comparison_varroa_asrm.csv` with raw runs; |
| - `comparison_varroa_asrm_aggregate.csv` with mean/std over seeds. |
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| Version 2 exposes an auxiliary attention map but has no auxiliary loss, so its |
| detection path is intentionally equivalent to the P2 baseline during this experiment. |
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