code: def load_ZED(self):
      with open(self.hparams.test_annotation, "r") as f:
          ZED_data = json.load(f)
      self.ZED = ZED_data
  
file_path: speechbrain/recipes/ZaionEmotionDataset/emotion_diarization/train.py
imports: import os
  import sys
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
  import torch
  import json
  import itertools
  from speechbrain.utils.EDER import EDER
label_desc: Use image node_id 5 for calling the EmoDiaBrain obj's underlying member method code with example usage: obj.load_ZED() without return types