libavfilter: Update derain filter doc.
Add the usage of tensorflow model in derain filter. Training scripts as well as scripts for tf/native model generation are provided in the repository at https://github.com/XueweiMeng/derain_filter.git. Reviewed-by: Steven Liu <lq@onvideo.cn> Signed-off-by: Xuewei Meng <xwmeng96@gmail.com>
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@ -8440,9 +8440,12 @@ Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN).
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See @url{http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf}.
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@end itemize
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Training scripts as well as scripts for model generation are provided in
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Training as well as model generation scripts are provided in
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the repository at @url{https://github.com/XueweiMeng/derain_filter.git}.
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Native model files (.model) can be generated from TensorFlow model
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files (.pb) by using tools/python/convert.py
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The filter accepts the following options:
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@table @option
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@ -8453,14 +8456,19 @@ the following values:
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@table @samp
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@item native
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Native implementation of DNN loading and execution.
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@item tensorflow
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TensorFlow backend. To enable this backend you
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need to install the TensorFlow for C library (see
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@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg with
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@code{--enable-libtensorflow}
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@end table
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Default value is @samp{native}.
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@item model
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Set path to model file specifying network architecture and its parameters.
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Note that different backends use different file formats. TensorFlow backend
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can load files for both formats, while native backend can load files for only
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its format.
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Note that different backends use different file formats. TensorFlow and native
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backend can load files for only its format.
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@end table
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@section deshake
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