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.