From: Limin Wang <lance.lmw...@gmail.com>
Signed-off-by: Limin Wang <lance.lmw...@gmail.com>
---
doc/filters.texi | 14 ++++++++++++--
1 file changed, 12 insertions(+), 2 deletions(-)
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
--
1.8.3.1
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