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miner.py

@@ -46,7 +46,7 @@ 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(
-        [0.28], dtype=np.float32
+        [0.3], 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

weights.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:604ef110c8f96c677e2d22eb477d1c1292cdd8badd4c26a3976e1dafeef489f8
-size 9840334
+oid sha256:9020c01a33244080ac516bfb40e796d23e612e29fc0b4b2e68d062d4631c9897
+size 9840342