class_docstr: Arguments:
      threshold (float): Threshold for classifier confidence score
class_docstr_tok: ["Arguments",":","threshold","(","float",")",":","Threshold","for","classifier","confidence","score"]
code: def transform(self, images: np.ndarray):
      # reverse the channels from opencv
      from PIL import Image
  
      return self.transforms_ed(Image.fromarray(images[:, :, ::-1]))
  
file_path: evadb/evadb/functions/emotion_detector.py
imports: import os
  from typing import List
  import numpy
  import pandas
  from evadb.functions.abstract.pytorch_abstract_function import PytorchAbstractClassifierFunction
  from evadb.utils.generic_utils import try_to_import_pillow, try_to_import_torch, try_to_import_torchvision
label_desc: Use image node_id 5 for calling the EmotionDetector obj's underlying member method code with example usage: obj.transform(images) and returns: self