code: def get_loading_pipeline(pipeline):
      """Only keep loading image and annotations related configuration.
  
      Args:
          pipeline (list[dict]): Data pipeline configs.
  
      Returns:
          list[dict]: The new pipeline list with only keep
              loading image and annotations related configuration.
  
      Examples:
          >>> pipelines = [
          ...    dict(type='LoadImageFromFile'),
          ...    dict(type='LoadAnnotations', with_bbox=True),
          ...    dict(type='Resize', img_scale=(1333, 800), keep_ratio=True),
          ...    dict(type='RandomFlip', flip_ratio=0.5),
          ...    dict(type='Normalize', **img_norm_cfg),
          ...    dict(type='Pad', size_divisor=32),
          ...    dict(type='DefaultFormatBundle'),
          ...    dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])
          ...    ]
          >>> expected_pipelines = [
          ...    dict(type='LoadImageFromFile'),
          ...    dict(type='LoadAnnotations', with_bbox=True)
          ...    ]
          >>> assert expected_pipelines ==\
          ...        get_loading_pipeline(pipelines)
      """
      loading_pipeline_cfg = []
      for cfg in pipeline:
          obj_cls = TRANSFORMS.get(cfg["type"])
          # TODO:use more elegant way to distinguish loading modules
          if obj_cls is not None and obj_cls in (
              LoadImageFromFile,
              LoadAnnotations,
              LoadPanopticAnnotations,
          ):
              loading_pipeline_cfg.append(cfg)
      assert len(loading_pipeline_cfg) == 2, (
          "The data pipeline in your config file must include "
          "loading image and annotations related pipeline."
      )
      return loading_pipeline_cfg
  
imports: from mmcv.transforms import LoadImageFromFile
  from mmdet.datasets.transforms import LoadAnnotations, LoadPanopticAnnotations
  from mmdet.registry import TRANSFORMS
label_desc: Use image node_id 1 for calling a global function with example usage: get_loading_pipeline(pipeline) and returns: loading_pipeline_cfg