code: def __init__(self, *args, return_meta=False, **kwargs):
      super(VOCSegmentationOpencv, self).__init__(*args, **kwargs)
      self.return_meta = return_meta
  
imports: import cv2
  import numpy
  import torch
  from PIL import Image
  from torch.utils.data import Dataset
  from torch.utils.data.dataset import Subset
  from torchvision.datasets.sbd import SBDataset
  from torchvision.datasets.voc import VOCSegmentation
  import ignite.distributed
  from ignite.utils import convert_tensor
label_desc: Use image node_id 1 to create a new VOCSegmentationOpencv object from inherited base classes: VOCSegmentation with example: obj = VOCSegmentationOpencv()