code: def load_image(img, resize_width, resize_height):
      """Load the image and convert to the darknet model format.
      The image processing of darknet is different from normal.
      Parameters
      ----------
      image : string
          The image file name with path
  
      resize_width : integer
          The width to which the image needs to be resized
  
      resize_height : integer
          The height to which the image needs to be resized
  
      Returns
      -------
      img : Float array
          Array of processed image
      """
      imagex = cv2.imread(img)
      return _letterbox_image(imagex, resize_width, resize_height)
  
file_path: tvm/python/tvm/relay/testing/darknet.py
imports: from __future__ import division
  from cffi import FFI
  import numpy
  import cv2
label_desc: Use image node_id 4 for calling a global function with example usage: load_image(img, resize_width, resize_height) and returns: _letterbox_image