code: def read_image(img_path, image_dims=None, mean=None):
      
  
      import urllib
  
      filename = img_path.split("/")[-1]
      if img_path.startswith('http'):
          urllib.urlretrieve(img_path, filename)
          img = cv2.imread(filename)
      else:
          img = cv2.imread(img_path)
  
      img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
  
      if image_dims is not None:
          img = cv2.resize(img, image_dims)  # resize to image_dims to fit model
      img = np.rollaxis(img, 2) # change to (c, h, w) order
      img = img[np.newaxis, :]  # extend to (n, c, h, w)
      if mean is not None:
          mean = np.array(mean)
          if mean.shape == (3,):
              mean = mean[np.newaxis, :, np.newaxis, np.newaxis]  # extend to (n, c, 1, 1)
          img = img.astype(np.float32) - mean # subtract mean
  
      return img
docs: Reads an image from file path or URL, optionally resizing to given image dimensions and
      subtracting mean.
      :param img_path: path to file, or url to download
      :param image_dims: image dimensions to resize to, or None
      :param mean: mean file to subtract, or None
      :return: loaded image, in RGB format