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doc/filters: Documentation to add sess_config option for tensorflow backend
Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
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@@ -10214,6 +10214,12 @@ Set the input name of the dnn network.
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@item output
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@item output
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Set the output name of the dnn network.
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Set the output name of the dnn network.
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@item backend_configs
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Set the configs to be passed into backend
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For tensorflow backend, you can set its configs with @option{sess_config} options,
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please use tools/python/tf_sess_config.py to get the configs of TensorFlow backend for your system.
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@item async
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@item async
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use DNN async execution if set (default: set),
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use DNN async execution if set (default: set),
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roll back to sync execution if the backend does not support async.
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roll back to sync execution if the backend does not support async.
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@@ -10242,9 +10248,10 @@ Handle the Y channel with srcnn.pb (see @ref{sr} filter) for frame with yuv420p
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@end example
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@end example
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@item
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@item
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Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported):
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Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported),
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please use tools/python/tf_sess_config.py to get the configs of TensorFlow backend for your system.
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@example
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@example
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./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y -y tmp.espcn.jpg
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./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
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@end example
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@end example
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@end itemize
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@end itemize
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