Sorry, I accidentally sent previous patch, here is updated version.
From 99afeefe4add5b932140388f48ec4111734aa593 Mon Sep 17 00:00:00 2001
From: Sergey Lavrushkin <dual...@gmail.com>
Date: Fri, 3 Aug 2018 17:24:00 +0300
Subject: [PATCH 9/9] doc/filters.texi: Adds documentation for sr filter.
---
doc/filters.texi | 60 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 60 insertions(+)
diff --git a/doc/filters.texi b/doc/filters.texi
index 0b0903e5a7..9995ca532b 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -15394,6 +15394,66 @@ option may cause flicker since the B-Frames have often larger QP. Default is
@code{0} (not enabled).
@end table
+@section sr
+
+Scale the input by applying one of the super-resolution methods based on
+convolutional neural networks.
+
+Training scripts as well as scripts for model generation are provided in
+the repository @url{https://github.com/HighVoltageRocknRoll/sr.git}.
+
+The filter accepts the following options:
+
+@table @option
+@item model
+Specify which super-resolution model to use. This option accepts the following values:
+
+@table @samp
+@item srcnn
+Super-Resolution Convolutional Neural Network model
+@url{https://arxiv.org/abs/1501.00092}.
+
+@item espcn
+Efficient Sub-Pixel Convolutional Neural Network model
+@url{https://arxiv.org/abs/1609.05158}.
+
+@end table
+
+Default value is @samp{srcnn}.
+
+@item dnn_backend
+Specify which DNN backend to use for model loading and execution. This option accepts
+the following values:
+
+@table @samp
+@item native
+Native implementation of DNN loading and execution.
+
+@item tensorflow
+TensorFlow backend @url{https://www.tensorflow.org/}. To enable this backend you
+need to install the TensorFlow for C library (see
+@url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg with
+@code{--enable-libtensorflow}
+
+@end table
+
+Default value is @samp{native}.
+
+@item scale_factor
+Set scale factor for SRCNN model, for which custom model file was provided.
+Allowed values are @code{2}, @code{3} and @code{4}. Scale factor is necessary
+for SRCNN model, because it accepts input upscaled using bicubic upscaling with
+proper scale factor.
+
+Default value is @code{2}.
+
+@item model_filename
+Set path to model file specifying network architecture and its parameters.
+Note that different backends use different file formats. If path to model
+file is not specified, built-in models for 2x upscaling are used.
+
+@end table
+
@anchor{subtitles}
@section subtitles
--
2.14.1
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