[FFmpeg-devel] [PATCH] libavfilter: Update derain filter doc.

[Guo, Yejun]

> -----Original Message-----
> From: Steven Liu [mailto:lq at chinaffmpeg.org]
> Sent: Sunday, July 21, 2019 8:10 PM
> To: FFmpeg development discussions and patches <ffmpeg-devel at ffmpeg.org>
> Cc: Steven Liu <lq at chinaffmpeg.org>; Guo, Yejun <yejun.guo at intel.com>
> Subject: Re: [FFmpeg-devel] [PATCH] libavfilter: Update derain filter doc.
> 
> 
> 
> > 在 2019年7月21日，19:27，Xuewei Meng <xwmeng96 at gmail.com> 写
> 道：
> >
> > Add the usage of tensorflow model in derain filter. Training scripts
> > as well as scripts for tf/native model generation are provided in the
> > repository at https://github.com/XueweiMeng/derain_filter.git.
> >
> > Signed-off-by: Xuewei Meng <xwmeng96 at gmail.com>
> > ---
> > doc/filters.texi | 18 +++++++++++-------
> > 1 file changed, 11 insertions(+), 7 deletions(-)
> >
> > diff --git a/doc/filters.texi b/doc/filters.texi
> > index 604e44d569..0d442e0a82 100644
> > --- a/doc/filters.texi
> > +++ b/doc/filters.texi
> > @@ -8362,11 +8362,11 @@ convolutional neural networks. Supported
> models:
> >
> > @itemize
> > @item
> > -Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN).
> > -See @url{
> >
> http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_
> Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf
> > }.
> > +Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN). See
> > + at url{
> >
> http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_
> Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf
> > }.
> This should not modify if it have no change context.
> > @end itemize
> >
> > -Training scripts as well as scripts for model generation are provided in
> > +Training as well as model generation scripts are provided in
> > the repository at @url{https://github.com/XueweiMeng/derain_filter.git}.
> >
> > The filter accepts the following options:
> > @@ -8379,14 +8379,18 @@ the following values:
> > @table @samp
> > @item native
> > Native implementation of DNN loading and execution.
> > +
> > + at item tensorflow
> > +TensorFlow backend. To enable this backend you
> > +need to install the TensorFlow for C library (see
> > + at url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg
> > with
> > + at code{--enable-libtensorflow}
> > @end table
> > -Default value is @samp{native}.
> >
> > @item model
> > Set path to model file specifying network architecture and its parameters.
> > -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.
> > +Note that different backends use different file formats. TensorFlow and
> > native
> > +backend can load files for only its format.
> > @end table
> >
> > @section deshake
> > --
> > 2.17.1
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> >
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> Other part look good to me,
> 
> Yejun
> 
>     I think maybe Xuewei Meng can move the repo to one public repo zone of
> FFmpeg.
>     Please continue push that work to create a public zone for this kind of repo
> (eg. derain_filter.git).

sure.

> 
> Thanks
> Steven
> 
> 
> 
>