scorevision: push artifact

miner.py

@@ -47,7 +47,7 @@ class Miner:
     # false_positive pillar = max(0, 1 - ffpi/10): we can tolerate ~2 FP per
     # image and still keep that pillar above 0.8.
     _conf_thres_array = np.array(
-        [0.3], dtype=np.float32
+        [0.25], dtype=np.float32
     )
     # Per-class rescue bonus. If a class has ZERO boxes passing the threshold
     # in a frame, its top-1 candidate is admitted when its score is at least
@@ -55,7 +55,7 @@ class Miner:
     # an otherwise empty frame still produces a detection (map50 recall win,
     # at most one extra FP per such frame).
     _bonus_array = np.array(
-        [0.2], dtype=np.float32
+        [0.15], dtype=np.float32
     )
 
     # Box sanity filter: drop tiny / degenerate / image-spanning / extreme