#To stop the code, press the Q key
							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

							focal_length_pixels = 600
							object_real_width = 3.8
							camera_angle_from_object = 0
							fov_degrees = 60 #Here you put the camera FOV. Look at Camera Calibration to find out how to calculate it
							object_width = 0
							object_height = 0

							maxWidth = 0
							minWidth = 3000

							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

									middle_of_the_object_pos = (x2 + x1) / 2
									middle_of_the_screen = 640 / 2 #640x480 640 Is the horizontal distance and measures the middle of the image horizontally. If testing on a 320x240 resolution, change to 320 from 640
									offset = middle_of_the_object_pos - middle_of_the_screen
									camera_angle_from_object = (offset / 640) * fov_degrees #Here it measures the sample angle relative to the camera horizontally. (It can also be vertical, same thing, but if the resolution is 640x480, instead of 640 it is 480

									first_angle = 0.00 #Here put the smallest mathematically calculated angle when you followed the steps on the Camera Calibration page. The sample is straight arctan(width/height) => angle
									y = 0.00 #Here you calculate (max angle - min angle)/90 degrees. Example: (66.32-24.79)/90 => 0.459555
									raw_angle = math.degrees(math.atan(object_width / object_height))
									object_angle = (raw_angle - first_angle) / y
									servo_position = 0.5 + (object_angle * 0.0038) #Calculating Servo_Pos same as on the Camera Calibration page
		
									cv2.putText(frame_with_results, f"Sample Angle: {object_angle:.2f}",
												(x1, y1 + 80),
												cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
		
									cv2.putText(frame_with_results, f"Servo Pos: {servo_position:.2f}",
												(x1, y1 + 100),
												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()