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[FFmpeg-devel,v4] doc/filters: Documentation to add sess_config option for tensorflow backend

Message ID 1619700370-8970-1-git-send-email-lance.lmwang@gmail.com
State Accepted
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Series [FFmpeg-devel,v4] doc/filters: Documentation to add sess_config option for tensorflow backend
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Commit Message

Limin Wang April 29, 2021, 12:46 p.m. UTC
From: Limin Wang <lance.lmwang@gmail.com>

Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
---
 doc/filters.texi | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

Comments

Guo, Yejun April 29, 2021, 1:11 p.m. UTC | #1
> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of
> lance.lmwang@gmail.com
> Sent: 2021年4月29日 20:46
> To: ffmpeg-devel@ffmpeg.org
> Cc: Limin Wang <lance.lmwang@gmail.com>
> Subject: [FFmpeg-devel] [PATCH v4] doc/filters: Documentation to add
> sess_config option for tensorflow backend
> 
> From: Limin Wang <lance.lmwang@gmail.com>
> 
> Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
> ---
>  doc/filters.texi | 11 +++++++++--
>  1 file changed, 9 insertions(+), 2 deletions(-)
> 
> diff --git a/doc/filters.texi b/doc/filters.texi
> index e99d70a..4af5b72 100644
> --- a/doc/filters.texi
> +++ b/doc/filters.texi
> @@ -10214,6 +10214,12 @@ Set the input name of the dnn network.
>  @item output
>  Set the output name of the dnn network.
> 
> +@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 of TensorFlow
> backend for your system.
> +
>  @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

will add the missed 'of TensorFlow backend' as discussed, and push soon.

> 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:backend_configs=sess_config=0x10022805320e09cdcccccc
> ccccec3f20012a01303801 -y tmp.espcn.jpg
>  @end example
> 
>  @end itemize
> --
> 1.8.3.1
> 
> _______________________________________________
> 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 mbox series

Patch

diff --git a/doc/filters.texi b/doc/filters.texi
index e99d70a..4af5b72 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -10214,6 +10214,12 @@  Set the input name of the dnn network.
 @item output
 Set the output name of the dnn network.
 
+@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 of TensorFlow backend for your system.
+
 @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:backend_configs=sess_config=0x10022805320e09cdccccccccccec3f20012a01303801 -y tmp.espcn.jpg
 @end example
 
 @end itemize