[FFmpeg-devel] [PATCH v3 2/2] doc/filters: Documentation to add sess_config option for tensorflow backend

[Guo, Yejun]

> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces at ffmpeg.org> On Behalf Of
> lance.lmwang at gmail.com
> Sent: 2021年4月28日 18:47
> To: ffmpeg-devel at ffmpeg.org
> Cc: Limin Wang <lance.lmwang at gmail.com>
> Subject: [FFmpeg-devel] [PATCH v3 2/2] doc/filters: Documentation to add
> sess_config option for tensorflow backend
> 
> From: Limin Wang <lance.lmwang at gmail.com>
> 
> Signed-off-by: Limin Wang <lance.lmwang at 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..24f2335 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.

use tools/python/tf_sess_config.py to get the configs of TensorFlow backend 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=0x10022805320e09cdcccccc
> ccccec3f20012a01303801 -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.
> +

this change can be removed since it is under vf.

>  @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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