code: def run_cmd(self, argsv):
      args = self.parser.parse_args(argsv)
      results = self.classify(
          paths=[args.input_path], use_gpu=args.use_gpu
      )
      return results
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import ast
  import os
  import paddle.fluid
  import paddlehub
  from paddlehub.module.module import moduleinfo, runnable
  from paddlehub.common.logger import logger
  from videotag_tsn_lstm.resource.utils.config_utils import *
  import videotag_tsn_lstm.resource.models
  from videotag_tsn_lstm.resource.reader import get_reader
  from videotag_tsn_lstm.resource.metrics import get_metrics
  from videotag_tsn_lstm.resource.utils.utility import check_cuda
  from videotag_tsn_lstm.resource.utils.utility import check_version
label_desc: Use image node_id 4 for calling the VideoTag obj's underlying member method code with example usage: obj.run_cmd(argsv) and returns: results