code: def __init__(self, model_file, image_size=(112, 112)):
      import onnxruntime as ort
  
      ort.set_default_logger_severity(3)
      self.ort_session = ort.InferenceSession(model_file)
      self.output_names = [self.ort_session.get_outputs()[0].name]
      self.input_name = self.ort_session.get_inputs()[0].name
  
imports: import os
  import cv2
  import numpy
  import pandas
  from tqdm import tqdm
  from skimage import transform
  from sklearn.preprocessing import normalize
  from sklearn.metrics import roc_curve, auc
label_desc: Use image node_id 1 to create a new ONNX_model_interf object  with example: obj = ONNX_model_interf(model_file, image_size)