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

Submitted by Xuewei Meng on July 21, 2019, 11:27 a.m.

Details

Message ID CAMhM6pGwZV2d0P4xP2BmQHkRSwyDPDc7epUrx45138kzUA0_Yw@mail.gmail.com
State New
Headers show

Commit Message

Xuewei Meng July 21, 2019, 11:27 a.m.
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@gmail.com>
---
 doc/filters.texi | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

-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.
+
+@item tensorflow
+TensorFlow backend. To enable this backend you
+need to install the TensorFlow for C library (see
+@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg
with
+@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

Comments

Steven Liu July 21, 2019, 12:10 p.m.
> 在 2019年7月21日,19:27,Xuewei Meng <xwmeng96@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@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
> +@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.
> +
> +@item tensorflow
> +TensorFlow backend. To enable this backend you
> +need to install the TensorFlow for C library (see
> +@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg
> with
> +@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
> _______________________________________________
> ffmpeg-devel mailing list
> ffmpeg-devel@ffmpeg.org
> https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
> 
> To unsubscribe, visit link above, or email
> ffmpeg-devel-request@ffmpeg.org with subject "unsubscribe”.
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).

Thanks
Steven
Guo, Yejun July 22, 2019, 12:32 a.m.
> -----Original Message-----

> From: Steven Liu [mailto:lq@chinaffmpeg.org]

> Sent: Sunday, July 21, 2019 8:10 PM

> To: FFmpeg development discussions and patches <ffmpeg-devel@ffmpeg.org>

> Cc: Steven Liu <lq@chinaffmpeg.org>; Guo, Yejun <yejun.guo@intel.com>

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

> 

> 

> 

> > 在 2019年7月21日,19:27,Xuewei Meng <xwmeng96@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@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

> > +@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.

> > +

> > +@item tensorflow

> > +TensorFlow backend. To enable this backend you

> > +need to install the TensorFlow for C library (see

> > +@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg

> > with

> > +@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

> > _______________________________________________

> > ffmpeg-devel mailing list

> > ffmpeg-devel@ffmpeg.org

> > https://ffmpeg.org/mailman/listinfo/ffmpeg-devel

> >

> > To unsubscribe, visit link above, or email

> > ffmpeg-devel-request@ffmpeg.org with subject "unsubscribe”.

> 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

> 

> 

> 

>

Patch hide | download patch | download mbox

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
+@url{
http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf
}.
 @end itemize