convert.py 2.0 KB

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  1. # Copyright (c) 2019 Guo Yejun
  2. #
  3. # This file is part of FFmpeg.
  4. #
  5. # FFmpeg is free software; you can redistribute it and/or
  6. # modify it under the terms of the GNU Lesser General Public
  7. # License as published by the Free Software Foundation; either
  8. # version 2.1 of the License, or (at your option) any later version.
  9. #
  10. # FFmpeg is distributed in the hope that it will be useful,
  11. # but WITHOUT ANY WARRANTY; without even the implied warranty of
  12. # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  13. # Lesser General Public License for more details.
  14. #
  15. # You should have received a copy of the GNU Lesser General Public
  16. # License along with FFmpeg; if not, write to the Free Software
  17. # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
  18. # ==============================================================================
  19. # verified with Python 3.5.2 on Ubuntu 16.04
  20. import argparse
  21. import os
  22. from convert_from_tensorflow import *
  23. def get_arguments():
  24. parser = argparse.ArgumentParser(description='generate native mode model with weights from deep learning model')
  25. parser.add_argument('--outdir', type=str, default='./', help='where to put generated files')
  26. parser.add_argument('--infmt', type=str, default='tensorflow', help='format of the deep learning model')
  27. parser.add_argument('infile', help='path to the deep learning model with weights')
  28. return parser.parse_args()
  29. def main():
  30. args = get_arguments()
  31. if not os.path.isfile(args.infile):
  32. print('the specified input file %s does not exist' % args.infile)
  33. exit(1)
  34. if not os.path.exists(args.outdir):
  35. print('create output directory %s' % args.outdir)
  36. os.mkdir(args.outdir)
  37. basefile = os.path.split(args.infile)[1]
  38. basefile = os.path.splitext(basefile)[0]
  39. outfile = os.path.join(args.outdir, basefile) + '.model'
  40. if args.infmt == 'tensorflow':
  41. convert_from_tensorflow(args.infile, outfile)
  42. if __name__ == '__main__':
  43. main()