Integrate real-time face tracking and servo movement

[hsbofficial1]

Full pipeline from face to servo movement.

[hsbofficial1]

import cv2
import requests

ESP_IP = "http://192.168.1.184/servo?angle={}"

cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
frame_width = int(cap.get(3))

def send_angle(angle):
    try:
        requests.get(ESP_IP.format(angle))
    except:
        print("Failed To Send Angle.")
    
toggle = True

while True:
    _, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    if toggle and len(faces) > 0:
        x, y, w, h = faces[0]
        face_center = x + w // 2
        angle = int((face_center / frame_width) * 100)
        angle = max(0, min(180, angle))
        send_angle(angle)
        print(f"Face Angle: {angle}")
        
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1)
    if key == ord('q'):
        break
    if key == ord('t'):
        toggle = not toggle
        
cap.release()
cv2.destroyAllWindows()