lavfi/dnn: Modified DNN native backend related tools and docs.

Will remove native backend, so change the default backend in filters,
and also remove the python scripts which generate native model file.

Signed-off-by: Ting Fu <ting.fu@intel.com>

1 files changed, 0 insertions, 56 deletions

diff --git a/tools/python/convert.py b/tools/python/convert.py
deleted file mode 100644
index 64cf76b2d8..0000000000
--- a/tools/python/convert.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# 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()