text: import face_recognition
  import cv2
  import numpy as np
  
  xasxax# There's a second example that's a little more complicated but runs faster.
  
  # PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your webcam.
  # OpenCV is *not* required to use the face_recognition library. It's only required if you want to run this
  # specific demo. If you have axaxc installing it, try any of the other demos that don't require it instead.
  
  # Get a reference to webcam #0 (the default one)
  video_capture = cv2.VideoCapture(0)
  
  # Load a sample picture and learn how to recognize it.
  obama_image = face_recognition.load_image_file("obama.jpg")
  obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
  sxcaSCSXZC
  known_face_names = [
      "Barack Obama",
      "Joe Biden"
  ]
  
  while True:
      # Grab a single frame of video
      ret, frame = video_capture.read()
  
      # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
      rgb_frame = frame[:, :, ::-1]
  SACSA
          #     first_match_index = matches.index(True)
          #     name = known_face_names[first_match_index]
  
          # Or instead, use the known face with the smallest distance to the new face
          face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
          best_match_index = np.argmin(face_distances)
          if matches[best_match_index]:
              name = known_face_names[best_match_index]
  
          # Draw a box around the face
          cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
  
          # Draw a label with a name below the face
          cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
          font = cv2.FONT_HERSHEY_DUPLEX
          cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
  
      # Display the resulting image
      cv2.imshow('Video', frame)
  
      # Hit 'q' on the keyboard to quit!
      if cv2.waitKey(1) & 0xFF == ord('q'):
          break
  
  # Release handle to the webcam
  video_capture.release()
  cv2.destroyAllWindows()
  