【智控万物】晃头控灯

import cv2

import mediapipe as mp
from pinpong.board import Board,Pin,NeoPixel
NEOPIXEL_PIN = Pin.D7
PIXELS_NUM = 7 #灯数
Board("uno").begin()  #初始化，选择板型和端口号，不输入端口号则进行自动识别
np = NeoPixel(Pin(NEOPIXEL_PIN), PIXELS_NUM)
mp_face_detection = mp.solutions.face_detection

mp_drawing = mp.solutions.drawing_utils

 # For webcam input:

cap = cv2.VideoCapture(0)
Width=cap.get(3)
Height=cap.get(4)
with mp_face_detection.FaceDetection(

     min_detection_confidence=0.5) as face_detection:

   while cap.isOpened():

     success, image = cap.read()

     if not success:

       print("Ignoring empty camera frame.")

       # If loading a video, use 'break' instead of 'continue'.

       continue




     # Flip the image horizontally for a later selfie-view display, and convert

     # the BGR image to RGB.

     image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)

     # To improve performance, optionally mark the image as not writeable to

     # pass by reference.

     image.flags.writeable = False

     results = face_detection.process(image)

     # Draw the face detection annotations on the image.

     image.flags.writeable = True

     image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

     if results.detections:

       for detection in results.detections:

         #mp_drawing.draw_detection(image, detection)
         
        #计算左右眼坐标位置
         RIGHT_EYE=mp_face_detection.get_key_point(detection, mp_face_detection.FaceKeyPoint.RIGHT_EYE)
         LEFT_EYE=mp_face_detection.get_key_point(detection, mp_face_detection.FaceKeyPoint.LEFT_EYE)
         Rx=int(RIGHT_EYE.x*Width)
         Ry=int(RIGHT_EYE.y*Height)   
         Lx=int(LEFT_EYE.x*Width)
         Ly=int(LEFT_EYE.y*Height)      
         
         cv2.circle(image, (Lx,Ly), 8, (0, 255, 255), cv2.FILLED)
         cv2.circle(image, (Rx,Ry), 8, (0, 255, 255), cv2.FILLED)
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