code: def __init__(self, **kwargs):
      super().__init__(**kwargs)
  
imports: import os, yaml, pickle, shutil, tarfile, glob
  import cv2
  import albumentations
  import PIL
  import numpy
  import torchvision.transforms.functional
  from omegaconf import OmegaConf
  from functools import partial
  from PIL import Image
  from tqdm import tqdm
  from torch.utils.data import Dataset, Subset
  import taming.data.utils
  from taming.data.imagenet import str_to_indices, give_synsets_from_indices, download, retrieve
  from taming.data.imagenet import ImagePaths
  from ldm.modules.image_degradation import degradation_fn_bsr, degradation_fn_bsr_light
label_desc: Use image node_id 1 to create a new ImageNetSRTrain object from inherited base classes: ImageNetSR with example: obj = ImageNetSRTrain()