code: def camvid_class_map(samples_source) -> ClassMap:
      codes = list(
          np.loadtxt(samples_source / "camvid/codes.txt", dtype=str)
      )
      return ClassMap(codes, background=None)
  
imports: import pytest
  from icevision import *
  from icevision.imports import *
  from icevision.models.torchvision import faster_rcnn, keypoint_rcnn
  from icevision.models.ross import efficientdet
  from icevision.models.ross.efficientdet.backbones import *
  import albumentations
label_desc: Use image node_id 5 for calling a global function with example usage: camvid_class_map(samples_source) and returns: ClassMap