Message ID | CAMhM6pGwZV2d0P4xP2BmQHkRSwyDPDc7epUrx45138kzUA0_Yw@mail.gmail.com |
---|---|
State | Superseded |
Headers | show |
> 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
> -----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 > > > >
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
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