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52 lines
2.0 KiB
52 lines
2.0 KiB
# Copyright (c) 2019 Guo Yejun |
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# |
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# This file is part of FFmpeg. |
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# |
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# FFmpeg is free software; you can redistribute it and/or |
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# modify it under the terms of the GNU Lesser General Public |
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# License as published by the Free Software Foundation; either |
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# version 2.1 of the License, or (at your option) any later version. |
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# |
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# FFmpeg is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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# Lesser General Public License for more details. |
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# |
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# You should have received a copy of the GNU Lesser General Public |
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# License along with FFmpeg; if not, write to the Free Software |
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
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# ============================================================================== |
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# verified with Python 3.5.2 on Ubuntu 16.04 |
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import argparse |
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import os |
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from convert_from_tensorflow import * |
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def get_arguments(): |
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parser = argparse.ArgumentParser(description='generate native mode model with weights from deep learning model') |
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parser.add_argument('--outdir', type=str, default='./', help='where to put generated files') |
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parser.add_argument('--infmt', type=str, default='tensorflow', help='format of the deep learning model') |
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parser.add_argument('infile', help='path to the deep learning model with weights') |
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return parser.parse_args() |
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def main(): |
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args = get_arguments() |
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if not os.path.isfile(args.infile): |
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print('the specified input file %s does not exist' % args.infile) |
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exit(1) |
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if not os.path.exists(args.outdir): |
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print('create output directory %s' % args.outdir) |
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os.mkdir(args.outdir) |
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basefile = os.path.split(args.infile)[1] |
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basefile = os.path.splitext(basefile)[0] |
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outfile = os.path.join(args.outdir, basefile) + '.model' |
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if args.infmt == 'tensorflow': |
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convert_from_tensorflow(args.infile, outfile) |
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if __name__ == '__main__': |
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main()
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