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miner.py

@@ -123,7 +123,7 @@ class Miner:
         # 0.5/0.5 silently discarded many valid detections); track is the
         # one class where false fires are common enough to need 0.38.
         self._conf_thres_array = np.array(
-            [0.32, 0.3, 0.45, 0.3], dtype=np.float32
+            [0.32, 0.30, 0.45, 0.30], 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
@@ -131,7 +131,8 @@ class Miner:
         # DISABLED (all zeros): the sweep showed rescue admits more false
         # positives than true positives under the validator's FP pillar.
         self._bonus_array = np.array(
-            [0.05, 0.1, 0.1, 0.1], dtype=np.float32
+            # [0.2, 0.05, 0.1, 0.15], dtype=np.float32
+            [0.05, 0.05, 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 sha256:020517c8e4ddd15a3a655fc794aa69bbda6032b328feb2749ef917c92b27b50f
-size 9881386
+oid sha256:a84425ba0a25df059bf6b90e09ae083f1d944ba69c1c05a44e4506a416ea1756
+size 9842746