scorevision: push artifact

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(
-            [0.20, 0.20, 0.5, 0.20], dtype=np.float32
+            [0.25, 0.25, 0.45, 0.20], 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