Update app.py

app.py

@@ -26,7 +26,7 @@ class DroneDetectionPipeline:
         self.tracker = None
         self.tracking_active = False
         self.last_detection_bbox = None
-        self.confidence_threshold = 0.55
+        self.confidence_threshold = 0.5
         
         # Load model
         self._load_model()
@@ -202,7 +202,7 @@ class DroneDetectionPipeline:
                             x1, y1, x2, y2 = box.xyxy[0].cpu().numpy().astype(int)
                             confidence = float(box.conf[0].cpu().numpy())
                             
-                            if confidence >= 0.55:
+                            if confidence >= 0.5:
                                 high_conf_detections.append((x1, y1, x2, y2, confidence))
                             elif confidence >= 0.1:  # Lower threshold for tracking
                                 low_conf_detections.append((x1, y1, x2, y2, confidence))