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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(
-            [0.4, 0.35, 0.45, 0.4], dtype=np.float32
+            [0.5, 0.4, 0.5, 0.23], 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(
-            [0.15, 0.15, 0, 0.15], dtype=np.float32
+            [0.15, 0.1, 0, 0.05], 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 sha256:2df3610803b86a1744f518c79e713b611b3904fb0615a7ef1bd3d2f353101e86
-size 19408012
+oid sha256:9d5cc4c83c9b5a943d33a678a44839854645b639c8c4d1c68acf04906f8a0058
+size 19408004