scorevision: push artifact
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README.md
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# Petrol-Station Detection Miner — SN44 (TurboVision)
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Element: `manak0_Detect-petrol-station-1-0`
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Backbone: YOLO11s, NMS-baked ONNX, FP16 weights (~19.3 MB).
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Classes: `petrol hose`, `petrol pump`, `price board`, `roof canopy`.
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## Files
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- `miner.py` — chute entrypoint (`Miner.predict_batch`).
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- `best_fp16.onnx` — model weights, NMS embedded.
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- `class_names.txt` — class id → name mapping.
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- `chute_config.yml` — Chutes runtime spec (Pro 6000, ORT-CUDA).
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## Inference
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- Letterbox 1280×1280, BGR→RGB, /255, NCHW float16.
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- Single ORT CUDA pass + horizontal-flip TTA, merged via per-class hard NMS.
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- Per-class confidence thresholds tuned on val.
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