| # 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. | |