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