code: def __init__(self, image_path, pred_path, pred_only=True):
      self.image_path = image_path
      self.pred_path = pred_path
      self.pred_only = pred_only
  
imports: import logging
  from typing import Dict, Hashable, Mapping, Optional, Sequence, Union
  import cv2
  import nibabel
  import numpy
  import skimage.measure
  import torch
  from monai.config import KeysCollection, NdarrayOrTensor
  from monai.data import MetaTensor
  from monai.transforms import MapTransform, Orientation, Resize, Transform, generate_spatial_bounding_box, get_extreme_points
  from monai.utils import InterpolateMode, convert_to_numpy, ensure_tuple_rep
  from shapely.geometry import Point, Polygon
  from torchvision.utils import make_grid, save_image
  from monailabel.utils.others.label_colors import get_color
label_desc: Use image node_id 1 to create a new DumpImagePrediction2Dd object from inherited base classes: Transform with example: obj = DumpImagePrediction2Dd(image_path, pred_path, pred_only)