import cv2
					from ultralytics import YOLO
					import math

					model = YOLO("C:\\Users\\<USER>\\Desktop\\OpenML\\high.pt") #Modify here with your current Path and the downloaded OpenML model

					cap = cv2.VideoCapture(0) #If it doesn't work, increment the number by 1 until the camera works and appears on the screen

					while True:
						ret, frame = cap.read()
						if not ret:
							break

						results = model.predict(frame, conf=0.5)

						frame_with_results = results[0].plot()
						boxes = results[0].boxes
						if len(boxes) > 0:
							x1, y1, x2, y2 = map(int, boxes.xyxy[0])
							object_width = x2 - x1
							object_height = y2 - y1

							cv2.putText(frame_with_results, f"Obj Width: {object_width:.2f}",
										(x1, y1 + 40),
										cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
							cv2.putText(frame_with_results, f"Obj Height: {object_height:.2f}",
										(x1, y1 + 60),
										cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
		
						cv2.imshow('OpenML - Real-time Detection', frame_with_results)

						if cv2.waitKey(1) & 0xFF == ord('q'): # Press Q to exit the code
							break

					cap.release()
					cv2.destroyAllWindows()