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[FFmpeg-devel,v2,2/2] doc/filters: Documentation to add sess_config option for tensorflow backend

Message ID 1619562097-15063-2-git-send-email-lance.lmwang@gmail.com
State Accepted
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Series [FFmpeg-devel,v2,1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data
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Commit Message

Limin Wang April 27, 2021, 10:21 p.m. UTC
From: Limin Wang <lance.lmwang@gmail.com>

Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
---
 doc/filters.texi | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)
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Patch

diff --git a/doc/filters.texi b/doc/filters.texi
index e99d70a..27b4f3c 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -10161,6 +10161,9 @@  The label id is considered as name if the label file is not provided.
 @item backend_configs
 Set the configs to be passed into backend
 
+For tensorflow backend, you can set its configs with @option{sess_config} options,
+please use tools/python/tf_sess_config.py to get the configs
+
 @item async
 use DNN async execution if set (default: set),
 roll back to sync execution if the backend does not support async.
@@ -10214,6 +10217,9 @@  Set the input name of the dnn network.
 @item output
 Set the output name of the dnn network.
 
+For tensorflow backend, you can set its configs with @option{sess_config} options,
+please use tools/python/tf_sess_config.py to get the configs
+
 @item async
 use DNN async execution if set (default: set),
 roll back to sync execution if the backend does not support async.
@@ -10242,9 +10248,10 @@  Handle the Y channel with srcnn.pb (see @ref{sr} filter) for frame with yuv420p
 @end example
 
 @item
-Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported):
+Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported), please
+use tools/python/tf_sess_config.py to get the configs for your system.
 @example
-./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y -y tmp.espcn.jpg
+./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y:options=sess_config=0x10022805320e09cdccccccccccec3f20012a01303801 -y tmp.espcn.jpg
 @end example
 
 @end itemize
@@ -18905,6 +18912,9 @@  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.
 
+For tensorflow backend, you can set its configs with @option{sess_config} options,
+please use tools/python/tf_sess_config.py to get the configs.
+
 @item scale_factor
 Set scale factor for SRCNN model. Allowed values are @code{2}, @code{3} and @code{4}.
 Default value is @code{2}. Scale factor is necessary for SRCNN model, because it accepts