code: def __getitem__(self, idx):
      x, y, mask = self.x[idx], self.y[idx], self.mask[idx]
  
      x = Image.open(x).convert("RGB")
      x = self.transform_x(x)
  
      if y == 0:
          mask = paddle.zeros([1, self.cropsize[0], self.cropsize[1]])
      else:
          mask = Image.open(mask)
          mask = self.transform_mask(mask)
  
      if self.is_train:
          return x
      return x, y, mask
  
imports: import os
  import cv2
  import numpy
  from PIL import Image
  import paddle
  from paddle.io import Dataset
  from paddle.vision import transforms
  from qinspector.cvlib.workspace import register
label_desc: Use image node_id 2 for calling the MVTecDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: x,  y,  mask, x