code: def mimic_ucf101(args):
      # Create classInd.txt, trainlist01.txt, testlist01.txt as in UCF101
  
      classes_list = os.listdir(args.frame_path)
      classes_list.sort()
  
      classDict = {}
      classIndFile = os.path.join(args.anno_dir, "classInd.txt")
      with open(classIndFile, "w") as f:
          for class_id, class_name in enumerate(classes_list):
              classDict[class_name] = class_id
              cur_line = str(class_id + 1) + " " + class_name + "\r\n"
              f.write(cur_line)
  
      for split_id in range(1, 4):
          splitTrainFile = os.path.join(
              args.anno_dir, "trainlist%02d.txt" % (split_id)
          )
          with open(splitTrainFile, "w") as target_train_f:
              for class_name in classDict.keys():
                  fname = class_name + "_test_split%d.txt" % (split_id)
                  fname_path = os.path.join(args.anno_dir, fname)
                  source_f = open(fname_path, "r")
                  source_info = source_f.readlines()
                  for _, source_line in enumerate(source_info):
                      cur_info = source_line.split(" ")
                      video_name = cur_info[0]
                      if cur_info[1] == "1":
                          target_line = (
                              class_name
                              + "/"
                              + video_name
                              + " "
                              + str(classDict[class_name] + 1)
                              + "\n"
                          )
                          target_train_f.write(target_line)
  
          splitTestFile = os.path.join(
              args.anno_dir, "testlist%02d.txt" % (split_id)
          )
          with open(splitTestFile, "w") as target_test_f:
              for class_name in classDict.keys():
                  fname = class_name + "_test_split%d.txt" % (split_id)
                  fname_path = os.path.join(args.anno_dir, fname)
                  source_f = open(fname_path, "r")
                  source_info = source_f.readlines()
                  for _, source_line in enumerate(source_info):
                      cur_info = source_line.split(" ")
                      video_name = cur_info[0]
                      if cur_info[1] == "2":
                          target_line = (
                              class_name
                              + "/"
                              + video_name
                              + " "
                              + str(classDict[class_name] + 1)
                              + "\n"
                          )
                          target_test_f.write(target_line)
  
imports: import argparse
  import sys
  import os
  import os.path
  import glob
  import fnmatch
  import random
  from pipes import quote
  from multiprocessing import Pool, current_process
label_desc: Use image node_id 6 for calling a global function with example usage: mimic_ucf101(args) without return types