Update app.py

app.py

@@ -40,8 +40,8 @@ AG_REPO_ID    = "emkessle/2024-24679-fencing-touch-predictor"
 AG_ZIP_NAME   = "autogluon_predictor_dir.zip"
 
 FRAME_SKIP = 2
-KEEP_CONF  = 0.90
-YOLO_CONF  = 0.25
+KEEP_CONF  = 0.85
+YOLO_CONF  = 0.35
 YOLO_IOU   = 0.50
 CLIP_PAD_S = 2.0
 MIN_SEP_S  = 1.2
@@ -144,8 +144,9 @@ def isolate_scoreboard_color(frame_bgr: np.ndarray,
     gray = cv2.cvtColor(frame_bgr, cv2.COLOR_BGR2GRAY)
     gray = cv2.cvtColor(gray, cv2.COLOR_GRAY2BGR)
 
-    primary_thr  = max(0.85, keep_conf)
-    fallback_thr = max(0.7, primary_thr - 0.05)
+    primary_thr  = max(0.90, keep_conf)
+    fallback_thr = max(0.75, primary_thr - 0.03)
+
 
     chosen_box = None
     res = yolo().predict(frame_bgr, conf=conf, iou=iou, verbose=False)
@@ -287,7 +288,7 @@ def predict_scores(df):
 
 
 def pick_events(df,score,fps):
-    z=rolling_z(score,45); strong=(z>4.0); keep=strong.rolling(3,min_periods=1).sum()>=2
+    z=rolling_z(score,45); strong=(z>5.0); keep=strong.rolling(4,min_periods=2).sum()>=3
     min_dist=max(1,int(MIN_SEP_S*fps))
     y=score.values; out=[]; last=-min_dist
     for i in range(1,len(y)-1):