Python使用端口与Arduino联动 (视觉识别)_python opencv arduino

我这使用了serial 来让python可以与Arduino联动，通过Opencv的面部识别来打开开关

import cv2
import serial
import time
import gevent #导入库
ser = serial.Serial() #创建serial对象
ser.port = 'COM4' #设置自己arduino的端口号，可以在我的电脑里面的设备管理器里面看到
ser.baudrate = 9600 #频率
ser.open()  #打开serial对象

#opencv的面部识别
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_frontalface_default.xml') 
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_smile.xml')
cap = cv2.VideoCapture(1) #自己的摄像头
def open(): #串口通信
    ser.write(b'a')
    #time.sleep(3)
    gevent.sleep(3)
    ser.write(b'b')


#摄像头的打开和识别的开启·
while(True):   
    ret, frame = cap.read()
    faces = face_cascade.detectMultiScale(frame, 1.3, 2)
    img = frame
    for (x,y,w,h) in faces:

        img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)

        face_area = img[y:y+h, x:x+w]
        

        eyes = eye_cascade.detectMultiScale(face_area,1.3,10)
        for (ex,ey,ew,eh) in eyes:

            cv2.rectangle(face_area,(ex,ey),(ex+ew,ey+eh),(0,255,0),1)
        

#When the smile open, The finction OPen() Can work
        smiles = smile_cascade.detectMultiScale(face_area,scaleFactor= 1.16,minNeighbors=65,minSize=(25, 25),flags=cv2.CASCADE_SCALE_IMAGE)
        for (ex,ey,ew,eh) in smiles:
            #print("You Smile!")
            #open()
            gevent.joinall([gevent.spawn(open)])

            cv2.rectangle(face_area,(ex,ey),(ex+ew,ey+eh),(0,0,255),1)
            cv2.putText(img,'Smile',(x,y-7), 3, 1.2, (0, 0, 255), 2, cv2.LINE_AA)

        

    cv2.imshow('frame2',img)

    if cv2.waitKey(5) & 0xFF == ord('q'):
        break


cap.release()
cv2.destroyAllWindows()

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