imshow窗口在我把连接python和arduino的代码放入循环后没有响应，这是为什么呢？

Question

这个项目是带条形码的人脸识别。它需要首先检测人脸，然后才能扫描条形码。流程是正常的，除非它检测到有人面对imshow中的窗口不再响应，网络摄像头被冻结。我想让摄像头在处理代码的同时继续移动，我该怎么做呢？

cap = cv2.VideoCapture(0)

if not cap.isOpened():
      raise IOError("Cannot open webcam") \

temp = ""
while True:

    success, eImgs = cap.read()
    if success:
         font = cv2.FONT_HERSHEY_PLAIN
         datet = str(datetime.now())
         frame = cv2.putText(eImgs, datet, (10, 50), font, 1, (0, 0, 128), 1, cv2.LINE_AA)
         # eImgs_v1 = cv2.resize (eImgs, (0, 0), None, 0.25, 0,25)
         eImgs_v1 = cv2.cvtColor(eImgs, cv2.COLOR_BGR2RGB)

         facesWebcam = face_recognition.face_locations(eImgs_v1)
         encodesWebcam = face_recognition.face_encodings(eImgs_v1, facesWebcam)

        for encodeKnown_v2, faceLoc in zip(encodesWebcam, facesWebcam):
            facesCompared = face_recognition.compare_faces(encodeKnown, encodeKnown_v2)
            faceDistance = face_recognition.face_distance(encodeKnown, encodeKnown_v2)
            faceIndex = np.argmin(faceDistance)

            if facesCompared[faceIndex]:
                 employeeName = ListNames[faceIndex]
                 y = employeeName
                 if temp == "" or temp != name:
                      print(name)
                      temp = name

                      if y:
                          print(y)
                          print("AUTHORIZED")

                          time.sleep(1)

                          **# Arduino and Python connection**
                          *arduino = serial.Serial('COM9', 115200, timeout=.1)
                          time.sleep(1)
                          print("The system is ready!")
                          while True:
                               barcode = arduino.readline()[:-2]
                               strbarcode = barcode.decode('utf-8')
                               if strbarcode:
                                     x = strbarcode
                                     print(x)
                                     if y == x:
                                         print('Have a nice day!')
                                         time.sleep(3)
                                         print("Next Employee please!")
                                     else:
                                         print('This is not yours!')*


                      else:
                          print("UNAUTHORIZED")

                 p1, p2, p3, p4 = faceLoc
                 cv2.rectangle(eImgs, (p1, p2), (p3, p4), (0, 255, 0), 2)
                 cv2.putText(eImgs, y, (p1, p3), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 2)

        

    cv2.imshow('EMPLOYEE', eImgs)
    cv2.waitKey(1)

cap.release()
cv2.destroyAllWindows()

Answer 1

我推荐你使用deepface。它的流函数应用于人脸识别与几种最先进的人脸识别模型。

models = ['VGG-Face', 'Facenet', 'OpenFace', 'DeepFace', 'DeepID', 'Dlib', 'ArcFace']

#!pip install deepface
from deepface import DeepFace
DeepFace.stream(db_path = 'C:/my_db'
   , model_name = models[0]
   , enable_face_analysis = False #to disable age, gender, emotion prediction
)