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| author | Guo, Yejun <yejun.guo@intel.com> | 2019-06-13 08:30:44 +0300 |
|---|---|---|
| committer | Gyan Doshi <ffmpeg@gyani.pro> | 2019-07-02 08:21:08 +0300 |
| commit | 231d0c819fe49f14f49c240470dd92f43fe2355c (patch) | |
| tree | f17184bd418525d9b91292a3d410c77a45cd52b3 /doc/filters.texi | |
| parent | 50e194e6e126b7fe8e91ecc2e929335d4dc64fcf (diff) | |
doc/filters: update how to generate native model for sr filter
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Diffstat (limited to 'doc/filters.texi')
| -rw-r--r-- | doc/filters.texi | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/doc/filters.texi b/doc/filters.texi index 2d9af46a6b..7c355fb1c5 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -16598,10 +16598,13 @@ 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}. +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 |