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miner.py

@@ -98,7 +98,7 @@ class Miner:
         #   nozzle        (0.25) -- TINY GT objects (median ~290 px²), permissive
         #   track         (0.35) -- large clear object when present, moderate
         self._conf_thres_array = np.array(
-            [0.45, 0.25, 0.35, 0.4], dtype=np.float32
+            [0.35, 0.4, 0.45, 0.35], dtype=np.float32
         )
         # Per-class rescue bonus: when a class has ZERO boxes passing the
         # threshold in a frame, its top-1 candidate is admitted when its score
@@ -107,7 +107,7 @@ class Miner:
         # off otherwise valid detections; track gets the smallest because it's
         # rarely borderline.
         self._bonus_array = np.array(
-            [0.10, 0.15, 0.05, 0.1], dtype=np.float32
+            [0.10, 0.15, 0.1, 0.1], dtype=np.float32
         )
 
         # Box sanity filter — kept loose: car-wash `nozzle` boxes are tiny

weights.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a76fc896be2085c848d2226543c882c4afba6a600b66b5495935fe5e85da8482
-size 19408004
+oid sha256:3ff9bfb909bbff5cfed100e58728e97e259062ffc5746359d5773b560f32042a
+size 38787590