scorevision: push artifact

miner.py

@@ -32,13 +32,13 @@ class Miner:
     # validator output order
     class_names = ["balaclava", "hoodie", "glove", "bat", "spray paint", "graffiti"]
     input_size = 1280
-    iou_thres = 0.40
+    iou_thres = 0.30
     cross_iou_thresh = 0.70
     max_aspect_ratio = 10.0
     max_det = 150
     # tuned on consensus-GT, healthy distribution: [balaclava, hoodie, glove, bat, spray, graffiti]
     _conf_thres_array = np.array(
-        [0.60, 0.70, 0.70, 0.80, 0.50, 0.20], dtype=np.float32
+        [0.30, 0.70, 0.70, 0.50, 0.50, 0.40], dtype=np.float32
     )
     # per-class rescue gap: if a class has no box above threshold, admit top-1
     # if its score >= (threshold - bonus). Inspired by new-vmodel0's _bonus_array.