early-access version 1432

externals/ffmpeg/tools/python/convert.py

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+# Copyright (c) 2019 Guo Yejun
+#
+# This file is part of FFmpeg.
+#
+# FFmpeg is free software; you can redistribute it and/or
+# modify it under the terms of the GNU Lesser General Public
+# License as published by the Free Software Foundation; either
+# version 2.1 of the License, or (at your option) any later version.
+#
+# FFmpeg is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+# Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with FFmpeg; if not, write to the Free Software
+# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+# ==============================================================================
+
+# verified with Python 3.5.2 on Ubuntu 16.04
+import argparse
+import os
+from convert_from_tensorflow import *
+
+def get_arguments():
+    parser = argparse.ArgumentParser(description='generate native mode model with weights from deep learning model')
+    parser.add_argument('--outdir', type=str, default='./', help='where to put generated files')
+    parser.add_argument('--infmt', type=str, default='tensorflow', help='format of the deep learning model')
+    parser.add_argument('infile', help='path to the deep learning model with weights')
+    parser.add_argument('--dump4tb', type=str, default='no', help='dump file for visualization in tensorboard')
+
+    return parser.parse_args()
+
+def main():
+    args = get_arguments()
+
+    if not os.path.isfile(args.infile):
+        print('the specified input file %s does not exist' % args.infile)
+        exit(1)
+
+    if not os.path.exists(args.outdir):
+        print('create output directory %s' % args.outdir)
+        os.mkdir(args.outdir)
+
+    basefile = os.path.split(args.infile)[1]
+    basefile = os.path.splitext(basefile)[0]
+    outfile = os.path.join(args.outdir, basefile) + '.model'
+    dump4tb = False
+    if args.dump4tb.lower() in ('yes', 'true', 't', 'y', '1'):
+        dump4tb = True
+
+    if args.infmt == 'tensorflow':
+        convert_from_tensorflow(args.infile, outfile, dump4tb)
+
+if __name__ == '__main__':
+    main()