class_docstr: 自定义数据集
code: def __init__(
      self, images_path: list, images_class: list, transform=None
  ):
      self.images_path = images_path
      self.images_class = images_class
      self.transform = transform
  
file_path: deep-learning-for-image-processing/pytorch_classification/ConvNeXt/my_dataset.py
imports: from PIL import Image
  import torch
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new MyDataSet object from inherited base classes: Dataset with example: obj = MyDataSet(images_path, images_class, transform)