code: def get_cv2_image(self, image):
      if isinstance(image, PIL.Image.Image):
          return np.array(image).astype("uint8")
      elif isinstance(image, np.ndarray):
          return image
      else:
          raise RuntimeError(
              "Only PIL.Image and CV2 loaders currently supported!"
          )
  
file_path: deepchecks/docs/source/vision/tutorials/quickstarts/plot_classification_tutorial.py
imports: import os
  import urllib.request
  import zipfile
  import albumentations
  import numpy
  import PIL.Image
  import torch
  import torchvision
  from albumentations.pytorch import ToTensorV2
  from torch import nn
  from torch.utils.data import DataLoader
  from deepchecks.vision.vision_data import BatchOutputFormat
  from deepchecks.vision import VisionData
  from deepchecks.vision.suites import train_test_validation
label_desc: Use image node_id 2 for calling the AntsBeesDataset obj's underlying member method code with example usage: obj.get_cv2_image(image) and returns: np, image