Create detector.py

detector.py

@@ -0,0 +1,11 @@
+from ultralytics import YOLO
+import cv2
+
+class LBWDetector:
+    def __init__(self, model_path='best.pt'):
+        self.model = YOLO(model_path)
+
+    def detect_objects(self, frame):
+        results = self.model.predict(source=frame, conf=0.3, save=False, verbose=False)
+        detections = results[0].boxes.data.cpu().numpy()  # x1, y1, x2, y2, conf, class
+        return detections, results[0].names