text: import os
  os.environ['CUDA_VISIBLE_DEVICES'] = '0'
  import cv2
  import numpy as np
  import tensorflow as tf
  from yolov3.utils import detect_image, detect_realtime, detect_video, Load_Yolo_model, detect_video_realtime_mp
  from yolov3.configs import *
  
  image_path   = "./IMAGES/plate_2.jpg"
  video_path   = "./IMAGES/test.mp4"
  
  yolo = Load_Yolo_model()
  detect_image(yolo, image_path, "./IMAGES/plate_1_detect.jpg", input_size=YOLO_INPUT_SIZE, show=True, CLASSES=TRAIN_CLASSES, rectangle_colors=(255,0,0))
  #detect_video(yolo, video_path, './IMAGES/detected.mp4', input_size=YOLO_INPUT_SIZE, show=False, CLASSES=TRAIN_CLASSES, rectangle_colors=(255,0,0))
  #detect_realtime(yolo, '', input_size=YOLO_INPUT_SIZE, show=True, CLASSES=TRAIN_CLASSES, rectangle_colors=(255, 0, 0))
  
  #detect_video_realtime_mp(video_path, "Output.mp4", input_size=YOLO_INPUT_SIZE, show=True, CLASSES=TRAIN_CLASSES, rectangle_colors=(255,0,0), realtime=False)
  