| Message ID | 1559030485-894-1-git-send-email-yejun.guo@intel.com |
|---|---|
| State | Superseded |
| Headers | show |
On 28-05-2019 01:31 PM, Guo, Yejun wrote: > Signed-off-by: Guo, Yejun <yejun.guo@intel.com> > --- > doc/filters.texi | 5 +++-- > 1 file changed, 3 insertions(+), 2 deletions(-) > > diff --git a/doc/filters.texi b/doc/filters.texi > index 4fdcfe9..75d2a38 100644 > --- a/doc/filters.texi > +++ b/doc/filters.texi > @@ -16538,9 +16538,10 @@ Efficient Sub-Pixel Convolutional Neural Network model (ESPCN). > See @url{https://arxiv.org/abs/1609.05158}. > @end itemize > > -Training scripts as well as scripts for model generation can be found at > +Training scripts as well as scripts for model file (.pb) saving can be found at What's wrong with generation'? > @url{https://github.com/XueweiMeng/sr/tree/sr_dnn_native}. Original repository > -is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. > +is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. Once get the TensorFlow > +model file (.pb), the native model file (.model) can be generated via libavfilter/dnn/python/convert.py Change to "Native model files (.model) can be generated from TensorFlow model files (.pb) by using libavfilter/dnn/python/convert.py " and shift to a new line. Gyan
> -----Original Message----- > From: ffmpeg-devel [mailto:ffmpeg-devel-bounces@ffmpeg.org] On Behalf Of > Gyan > Sent: Tuesday, May 28, 2019 4:14 PM > To: ffmpeg-devel@ffmpeg.org > Subject: Re: [FFmpeg-devel] [PATCH 2/2] doc/filters: update how to generate > native model for sr filter > > > > On 28-05-2019 01:31 PM, Guo, Yejun wrote: > > Signed-off-by: Guo, Yejun <yejun.guo@intel.com> > > --- > > doc/filters.texi | 5 +++-- > > 1 file changed, 3 insertions(+), 2 deletions(-) > > > > diff --git a/doc/filters.texi b/doc/filters.texi > > index 4fdcfe9..75d2a38 100644 > > --- a/doc/filters.texi > > +++ b/doc/filters.texi > > @@ -16538,9 +16538,10 @@ Efficient Sub-Pixel Convolutional Neural > Network model (ESPCN). > > See @url{https://arxiv.org/abs/1609.05158}. > > @end itemize > > > > -Training scripts as well as scripts for model generation can be found at > > +Training scripts as well as scripts for model file (.pb) saving can be found at > What's wrong with generation'? Currently, the script generates both model file formats (.pb and .model). The TensorFlow model .pb file will not change again, while the native .model file format will be changed timely especially in current early stage. It is not good to generate .model file here (see more detail in my patch 1 commit log). So, a new script (my patch 1) is added to generate the .model file. The above script is no longer needed to generate .model file. For me, 'generation' means the dump of .model file, while 'saving' means the dump of .pb file. > > > @url{https://github.com/XueweiMeng/sr/tree/sr_dnn_native}. Original > repository > > -is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. > > +is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. Once get the > TensorFlow > > +model file (.pb), the native model file (.model) can be generated via > libavfilter/dnn/python/convert.py > Change to > > "Native model files (.model) can be generated from TensorFlow model > files (.pb) by using libavfilter/dnn/python/convert.py " > > and shift to a new line. thanks, will do it. > > Gyan > _______________________________________________ > 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".
diff --git a/doc/filters.texi b/doc/filters.texi index 4fdcfe9..75d2a38 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -16538,9 +16538,10 @@ Efficient Sub-Pixel Convolutional Neural Network model (ESPCN). See @url{https://arxiv.org/abs/1609.05158}. @end itemize -Training scripts as well as scripts for model generation can be found at +Training scripts as well as scripts for model file (.pb) saving can be found at @url{https://github.com/XueweiMeng/sr/tree/sr_dnn_native}. Original repository -is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. +is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. Once get the TensorFlow +model file (.pb), the native model file (.model) can be generated via libavfilter/dnn/python/convert.py The filter accepts the following options:
Signed-off-by: Guo, Yejun <yejun.guo@intel.com> --- doc/filters.texi | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-)