tools/python/convert.py

   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
  20 # verified with Python 3.5.2 on Ubuntu 16.04
  21 import argparse
  22 import os
  23 from convert_from_tensorflow import *
  24
  25 def get_arguments():
  26     parser = argparse.ArgumentParser(description='generate native mode model with weights from deep learning model')
  27     parser.add_argument('--outdir', type=str, default='./', help='where to put generated files')
  28     parser.add_argument('--infmt', type=str, default='tensorflow', help='format of the deep learning model')
  29     parser.add_argument('infile', help='path to the deep learning model with weights')
  30     parser.add_argument('--dump4tb', type=str, default='no', help='dump file for visualization in tensorboard')
  31
  32     return parser.parse_args()
  33
  34 def main():
  35     args = get_arguments()
  36
  37     if not os.path.isfile(args.infile):
  38         print('the specified input file %s does not exist' % args.infile)
  39         exit(1)
  40
  41     if not os.path.exists(args.outdir):
  42         print('create output directory %s' % args.outdir)
  43         os.mkdir(args.outdir)
  44
  45     basefile = os.path.split(args.infile)[1]
  46     basefile = os.path.splitext(basefile)[0]
  47     outfile = os.path.join(args.outdir, basefile) + '.model'
  48     dump4tb = False
  49     if args.dump4tb.lower() in ('yes', 'true', 't', 'y', '1'):
  50         dump4tb = True
  51
  52     if args.infmt == 'tensorflow':
  53         convert_from_tensorflow(args.infile, outfile, dump4tb)
  54
  55 if __name__ == '__main__':
  56     main()