text: from __future__ import print_function
  import os,sys,inspect
  from termcolor import colored
  import torch
  currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
  parentdir = os.path.dirname(os.path.dirname(currentdir))
  sys.path.insert(0,parentdir)
  
  import models as Models
  import global_vars as Global
  from utils.args import args
  
  import categories.classifier_setup as CLSetup
  from models.classifiers import NIHDenseBinary
  from datasets.NIH_Chest import NIHChestBinaryTrainSplit
  
  if __name__ == "__main__":
      dataset = NIHChestBinaryTrainSplit(root_path=os.path.join(args.root_path, "NIHCC"), binary=True)
      model = NIHDenseBinary("mono_model.pth.tar")
      CLSetup.train_classifier(args, model=model, dataset=dataset.get_D1_train(), balanced=True)
  
  