class_docstr: PascalVOC2010 dataset `http://host.robots.ox.ac.uk/pascal/VOC/`.
  If you want to use pascal context dataset, please run the convert_voc2010.py in tools/data firstly.
  
  Args:
      transforms (list): Transforms for image.
      dataset_root (str): The dataset directory. Default: None
      mode (str): Which part of dataset to use. it is one of ('train', 'trainval', 'context', 'val').
          If you want to set mode to 'context', please make sure the dataset have been augmented. Default: 'train'.
      edge (bool, optional): Whether to compute edge while training. Default: False
code: def __init__(
      self, transforms=None, dataset_root=None, mode="train", edge=False
  ):
      self.dataset_root = dataset_root
      self.transforms = Compose(transforms)
      mode = mode.lower()
      self.mode = mode
      self.file_list = list()
      self.num_classes = self.NUM_CLASSES
      self.ignore_index = self.IGNORE_INDEX
      self.edge = edge
  
      if mode not in ["train", "trainval", "val"]:
          raise ValueError(
              "`mode` should be one of ('train', 'trainval', 'val') in PascalContext dataset, but got {}.".format(
                  mode
              )
          )
  
      if self.transforms is None:
          raise ValueError("`transforms` is necessary, but it is None.")
      if self.dataset_root is None:
          raise ValueError(
              "The dataset is not Found or the folder structure is nonconfoumance."
          )
  
      image_set_dir = os.path.join(
          self.dataset_root, "ImageSets", "Segmentation"
      )
  
      if mode == "train":
          file_path = os.path.join(image_set_dir, "train_context.txt")
      elif mode == "val":
          file_path = os.path.join(image_set_dir, "val_context.txt")
      elif mode == "trainval":
          file_path = os.path.join(
              image_set_dir, "trainval_context.txt"
          )
      if not os.path.exists(file_path):
          raise RuntimeError(
              "PASCAL-Context annotations are not ready, "
              "Please make sure voc_context.py has been properly run."
          )
  
      img_dir = os.path.join(self.dataset_root, "JPEGImages")
      label_dir = os.path.join(self.dataset_root, "Context")
  
      with open(file_path, "r") as f:
          for line in f:
              line = line.strip()
              image_path = os.path.join(
                  img_dir, "".join([line, ".jpg"])
              )
              label_path = os.path.join(
                  label_dir, "".join([line, ".png"])
              )
              self.file_list.append([image_path, label_path])
  
file_path: PaddleSeg/paddleseg/datasets/pascal_context.py
imports: import os
  from PIL import Image
  from paddleseg.datasets import Dataset
  from paddleseg.cvlibs import manager
  from paddleseg.transforms import Compose
label_desc: Use image node_id 1 to create a new PascalContext object from inherited base classes: Dataset with example: obj = PascalContext(transforms, dataset_root, mode, edge)