original_docstring: 
          Checks what sign does the camera see from a VIDEOSTREAM
          :return:
          
docstring: Checks what sign does the camera see from a VIDEOSTREAM
docstring_tokens: Checks what sign does the camera see from a VIDEOSTREAM
code: def what_sign(self):
          """
          Checks what sign does the camera see from a VIDEOSTREAM
          :return:
          """
          # initialize the video stream and allow the camera sensor to warm up
          vs = VideoStream(src=1).start()
          # vs = VideoStream(usePiCamera=True).start()
  
          # grab the frame from the threaded video stream and resize it to
          # have a maximum width of 400 pixels
          frame = vs.read()
          frame = imutils.resize(frame, width=400)
  
          # find the barcodes in the frame and decode each of the barcodes
          barcodes = pyzbar.decode(frame)
          # loop over the detected barcodes
          for barcode in barcodes:
              barcodeData = barcode.data.decode("utf-8")
              print(barcodeData)
              # close the output CSV file do a bit of cleanup
              print("[INFO] cleaning up...")
              cv2.destroyAllWindows()
              vs.stop()
code_tokens: def what_sign ( self ) : vs = VideoStream ( src = 1 ) . start ( ) frame = vs . read ( ) frame = imutils . resize ( frame , width = 400 ) barcodes = pyzbar . decode ( frame ) for barcode in barcodes : barcodeData = barcode . data . decode ( "utf-8" ) print ( barcodeData ) print ( "[INFO] cleaning up..." ) cv2 . destroyAllWindows ( ) vs . stop ( )
short_docstring: Checks what sign does the camera see from a VIDEOSTREAM
short_docstring_tokens: Checks what sign does the camera see from a VIDEOSTREAM
comment: """
          Checks what sign does the camera see from a VIDEOSTREAM
          :return:
          """$SEP$# initialize the video stream and allow the camera sensor to warm up$SEP$# vs = VideoStream(usePiCamera=True).start()$SEP$# grab the frame from the threaded video stream and resize it to$SEP$# have a maximum width of 400 pixels$SEP$# find the barcodes in the frame and decode each of the barcodes$SEP$# loop over the detected barcodes$SEP$# close the output CSV file do a bit of cleanup