On Wed, Apr 28, 2021 at 12:31:53PM +0000, Guo, Yejun wrote:
>
>
> > -----Original Message-----
> > From: ffmpeg-devel <ffmpeg-devel-boun...@ffmpeg.org> On Behalf Of
> > lance.lmw...@gmail.com
> > Sent: 2021年4月28日 18:47
> > To: ffmpeg-devel@ffmpeg.org
> > Cc: Limin Wang <lance.lmw...@gmail.com>
> > Subject: [FFmpeg-devel] [PATCH v3 2/2] doc/filters: Documentation to add
> > sess_config option for tensorflow backend
> >
> > From: Limin Wang <lance.lmw...@gmail.com>
> >
> > Signed-off-by: Limin Wang <lance.lmw...@gmail.com>
> > ---
> > doc/filters.texi | 14 ++++++++++++--
> > 1 file changed, 12 insertions(+), 2 deletions(-)
> >
> > diff --git a/doc/filters.texi b/doc/filters.texi
> > index e99d70a..24f2335 100644
> > --- a/doc/filters.texi
> > +++ b/doc/filters.texi
> > @@ -10161,6 +10161,9 @@ The label id is considered as name if the label
> > file is not provided.
> > @item backend_configs
> > Set the configs to be passed into backend
> >
> > +For tensorflow backend, you can set its configs with @option{sess_config}
> > options,
> > +please use tools/python/tf_sess_config.py to get the configs
> > +
> > @item async
> > use DNN async execution if set (default: set),
> > roll back to sync execution if the backend does not support async.
> > @@ -10214,6 +10217,9 @@ Set the input name of the dnn network.
> > @item output
> > Set the output name of the dnn network.
> >
> > +For tensorflow backend, you can set its configs with @option{sess_config}
> > options,
> > +please use tools/python/tf_sess_config.py to get the configs
> > +
> > @item async
> > use DNN async execution if set (default: set),
> > roll back to sync execution if the backend does not support async.
> > @@ -10242,9 +10248,10 @@ Handle the Y channel with srcnn.pb (see
> > @ref{sr} filter) for frame with yuv420p
> > @end example
> >
> > @item
> > -Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes
> > frame size, for format yuv420p (planar YUV formats supported):
> > +Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes
> > frame size, for format yuv420p (planar YUV formats supported), please
> > +use tools/python/tf_sess_config.py to get the configs for your system.
>
> use tools/python/tf_sess_config.py to get the configs of TensorFlow backend
> for your system.
OK, will update it. Also merge first version change for add backend_configs
section.
>
> > @example
> > -./ffmpeg -i 480p.jpg -vf
> > format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:
> > input=x:output=y -y tmp.espcn.jpg
> > +./ffmpeg -i 480p.jpg -vf
> > format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:
> > input=x:output=y:backend_configs=sess_config=0x10022805320e09cdcccccc
> > ccccec3f20012a01303801 -y tmp.espcn.jpg
> > @end example
> >
> > @end itemize
> > @@ -18905,6 +18912,9 @@ Note that different backends use different file
> > formats. TensorFlow backend
> > can load files for both formats, while native backend can load files for
> > only
> > its format.
> >
> > +For tensorflow backend, you can set its configs with @option{sess_config}
> > options,
> > +please use tools/python/tf_sess_config.py to get the configs.
> > +
>
> this change can be removed since it is under vf.
OK, will remove it.
>
> > @item scale_factor
> > Set scale factor for SRCNN model. Allowed values are @code{2}, @code{3}
> > and @code{4}.
> > Default value is @code{2}. Scale factor is necessary for SRCNN model,
> > because it accepts
> > --
> > 1.8.3.1
> >
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--
Thanks,
Limin Wang
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