1 # Copyright (c) 2019 Guo Yejun
3 # This file is part of FFmpeg.
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.
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.
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 # ==============================================================================
20 # verified with Python 3.5.2 on Ubuntu 16.04
23 from convert_from_tensorflow import *
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')
32 return parser.parse_args()
35 args = get_arguments()
37 if not os.path.isfile(args.infile):
38 print('the specified input file %s does not exist' % args.infile)
41 if not os.path.exists(args.outdir):
42 print('create output directory %s' % args.outdir)
45 basefile = os.path.split(args.infile)[1]
46 basefile = os.path.splitext(basefile)[0]
47 outfile = os.path.join(args.outdir, basefile) + '.model'
49 if args.dump4tb.lower() in ('yes', 'true', 't', 'y', '1'):
52 if args.infmt == 'tensorflow':
53 convert_from_tensorflow(args.infile, outfile, dump4tb)
55 if __name__ == '__main__':