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Fire / Smoke / Fire-extinguisher detector (YOLO26s + ONNX Runtime)

Open-source ScoreVision miner for the manak0/Detect-fire element.

Contents

  • weights.onnx β€” YOLO26s, imgsz 1280, fp16, end2end ([1,300,6] output), ~19 MB (< 30 MB cap).
  • miner.py β€” ONNX Runtime Miner (per-class thresholds, flip-TTA, smoke merge, color-prior FP filters). Reads class order from ONNX names metadata and remaps to ["fire","smoke","fire extinguisher"].
  • chute_config.yml β€” chute image + node selector (1 GPU, 16 GB).
  • class_names.txt β€” fire / smoke / fire extinguisher.

Classes

{0: fire, 1: smoke, 2: fire extinguisher} (matches the element's objects order).

NOTE β€” re-tune before relying on the score

The per-class confidence thresholds, rescue bonuses, and color-prior gates in miner.py were inherited from the reference top miner and are tuned to that model's score distribution. This is a different YOLO26s (trained on fire_aug), so re-sweep them against this model to maximize the validator's map50 + false_positive pillars.

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