code: def adjust_hue(img, hue_factor):
      """Adjust hue of an image.
  
      The image hue is adjusted by converting the image to HSV and
      cyclically shifting the intensities in the hue channel (H).
      The image is then converted back to original image mode.
  
      `hue_factor` is the amount of shift in H channel and must be in the
      interval `[-0.5, 0.5]`.
  
      See https://en.wikipedia.org/wiki/Hue for more details on Hue.
  
      Args:
          img (PIL Image): PIL Image to be adjusted.
          hue_factor (float):  How much to shift the hue channel. Should be in
              [-0.5, 0.5]. 0.5 and -0.5 give complete reversal of hue channel in
              HSV space in positive and negative direction respectively.
              0 means no shift. Therefore, both -0.5 and 0.5 will give an image
              with complementary colors while 0 gives the original image.
  
      Returns:
          PIL Image: Hue adjusted image.
      """
      if not (-0.5 <= hue_factor <= 0.5):
          raise ValueError(
              "hue_factor is not in [-0.5, 0.5].".format(hue_factor)
          )
  
      if not _is_pil_image(img):
          raise TypeError(
              "img should be PIL Image. Got {}".format(type(img))
          )
  
      input_mode = img.mode
      if input_mode in {"L", "1", "I", "F"}:
          return img
  
      h, s, v = img.convert("HSV").split()
  
      np_h = np.array(h, dtype=np.uint8)
      # uint8 addition take cares of rotation across boundaries
      with np.errstate(over="ignore"):
          np_h += np.uint8(hue_factor * 255)
      h = Image.fromarray(np_h, "L")
  
      img = Image.merge("HSV", (h, s, v)).convert(input_mode)
      return img
  
imports: import random
  import os
  import math
  import mmcv
  import torch
  import numpy
  import torchvision.transforms
  from torchvision import datasets
  from torch.utils.data import Dataset
  from megatron import print_rank_0
  from megatron import get_args
  from PIL import Image, ImageOps, ImageEnhance
  import torchvision.transforms
label_desc: Use image node_id 5 for calling a global function with example usage: adjust_hue(img, hue_factor) and returns: img, img