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authorGuo, Yejun <yejun.guo@intel.com>2019-06-13 13:30:44 +0800
committerGyan Doshi <ffmpeg@gyani.pro>2019-07-02 10:51:08 +0530
commit231d0c819fe49f14f49c240470dd92f43fe2355c (patch)
treef17184bd418525d9b91292a3d410c77a45cd52b3 /doc
parent50e194e6e126b7fe8e91ecc2e929335d4dc64fcf (diff)
downloadffmpeg-231d0c819fe49f14f49c240470dd92f43fe2355c.tar.gz
doc/filters: update how to generate native model for sr filter
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Diffstat (limited to 'doc')
-rw-r--r--doc/filters.texi5
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