text: # import the necessary packages
  from main import ANPR
  from imutils import paths
  import argparse
  import imutils
  import cv2
  
  def cleanup_text(text):
  	# strip out non-ASCII text so we can draw the text on the image
  	# using OpenCV
  	return "".join([c if ord(c) < 128 else "" for c in text]).strip()
  
  # construct the argument parser and parse the arguments
  ap = argparse.ArgumentParser()
  ap.add_argument("-i", "--input", required=True,
  	help="path to input directory of images")
  ap.add_argument("-c", "--clear-border", type=int, default=-1,
  	help="whether or to clear border pixels before OCR'ing")
  ap.add_argument("-p", "--psm", type=int, default=7,
  	help="default PSM mode for OCR'ing license plates")
  ap.add_argument("-d", "--debug", type=int, default=-1,
  	help="whether or not to show additional visualizations")
  args = vars(ap.parse_args())
  
  # initialize our ANPR class
  anpr = ANPR(debug=args["debug"] > 0)
  
  # grab all image paths in the input directory
  imagePaths = sorted(list(paths.list_images(args["input"])))
  
  # loop over all image paths in the input directory
  for imagePath in imagePaths:
  	# load the input image from disk and resize it
  	image = cv2.imread(imagePath)
  	image = imutils.resize(image, width=600)
  
  	# apply automatic license plate recognition
  	(lpText, lpCnt) = anpr.find_and_ocr(image, psm=args["psm"],
  		clearBorder=args["clear_border"] > 0)
  
  	# only continue if the license plate was successfully OCR'd
  	if lpText is not None and lpCnt is not None:
  		# fit a rotated bounding box to the license plate contour and
  		# draw the bounding box on the license plate
  		box = cv2.boxPoints(cv2.minAreaRect(lpCnt))
  		box = box.astype("int")
  		cv2.drawContours(image, [box], -1, (0, 255, 0), 2)
  
  		# compute a normal (unrotated) bounding box for the license
  		# plate and then draw the OCR'd license plate text on the
  		# image
  		(x, y, w, h) = cv2.boundingRect(lpCnt)
  		cv2.putText(image, cleanup_text(lpText), (x, y - 15),
  			cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 255, 0), 2)
  
  		# show the output ANPR image
  		print("[INFO] {}".format(lpText))
  		cv2.imshow("Output ANPR", image)
  		cv2.waitKey(0)
  
  
  # to run this file use
  #python3 run_ANPR.py --input license_plates/group1
  