| Message ID | CAMhM6pHgnyM+a3qU1AwDn4i_fmbNARNi4guirgBBTk+e7EWm=A@mail.gmail.com |
|---|---|
| State | Superseded |
| Headers | show |
On Fri, Jul 26, 2019 at 10:54:27AM +0800, Xuewei Meng wrote: > 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 | 16 ++++++++++++---- > 1 file changed, 12 insertions(+), 4 deletions(-) > > diff --git a/doc/filters.texi b/doc/filters.texi > index c4ba907981..8e67dddecf 100644 > --- a/doc/filters.texi > +++ b/doc/filters.texi > @@ -8367,9 +8367,12 @@ 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 > > -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}. > > +Native model files (.model) can be generated from TensorFlow model > +files (.pb) by using tools/python/convert.py > + > The filter accepts the following options: > > @table @option > @@ -8380,14 +8383,19 @@ 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} patch corrupted by newlines [...]
diff --git a/doc/filters.texi b/doc/filters.texi index c4ba907981..8e67dddecf 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -8367,9 +8367,12 @@ 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 -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}. +Native model files (.model) can be generated from TensorFlow model +files (.pb) by using tools/python/convert.py +
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 | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) The filter accepts the following options: @table @option @@ -8380,14 +8383,19 @@ 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