code: def _normalize_bbox(raw_bbox, img_path):
      """Normalize torsobox bbox values."""
      with tf.io.gfile.GFile(img_path, "rb") as fp:
          img = tfds.core.lazy_imports.PIL_Image.open(fp)
          width, height = img.size
  
      return tfds.features.BBox(
          ymin=raw_bbox[1] / height,
          ymax=raw_bbox[3] / height,
          xmin=raw_bbox[0] / width,
          xmax=raw_bbox[2] / width,
      )
  
file_path: datasets/tensorflow_datasets/datasets/flic/flic_dataset_builder.py
imports: import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _normalize_bbox(raw_bbox, img_path) and returns: tfds