[FFmpeg-cvslog] doc/filters: Add entry for sr filter.

Sergey Lavrushkin git at videolan.org
Wed Aug 15 20:05:53 EEST 2018

ffmpeg | branch: master | Sergey Lavrushkin <dualfal at gmail.com> | Wed Aug 15 19:35:09 2018 +0300| [4f8e65c45884d91ac300caac37b55c8ca504288b] | committer: Gyan Doshi

doc/filters: Add entry for sr filter.

Signed-off-by: Gyan Doshi <ffmpeg at gyani.pro>

> http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=4f8e65c45884d91ac300caac37b55c8ca504288b

 doc/filters.texi | 59 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)

diff --git a/doc/filters.texi b/doc/filters.texi
index 267bd04a43..32c95b591c 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -15403,6 +15403,65 @@ option may cause flicker since the B-Frames have often larger QP. Default is
 @code{0} (not enabled).
 @end table
+ at 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 at @url{https://github.com/HighVoltageRocknRoll/sr.git}.
+The filter accepts the following options:
+ at table @option
+ at item model
+Specify which super-resolution model to use. This option accepts the following values:
+ at table @samp
+ at item srcnn
+Super-Resolution Convolutional Neural Network model.
+See @url{https://arxiv.org/abs/1501.00092}.
+ at item espcn
+Efficient Sub-Pixel Convolutional Neural Network model.
+See @url{https://arxiv.org/abs/1609.05158}.
+ at end table
+Default value is @samp{srcnn}.
+ at item dnn_backend
+Specify which DNN backend to use for model loading and execution. This option accepts
+the following values:
+ at table @samp
+ at item native
+Native implementation of DNN loading and execution.
+ at item tensorflow
+TensorFlow backend. To enable this backend you
+need to install the TensorFlow for C library (see
+ at url{https://www.tensorflow.org/install/install_c}) and configure FFmpeg with
+ at code{--enable-libtensorflow}
+ at end table
+Default value is @samp{native}.
+ at 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}. Default value is @code{2}.
+Scale factor is necessary for SRCNN model, because it accepts input upscaled
+using bicubic upscaling with proper scale factor.
+ at item model_filename
+Set path to model file specifying network architecture and its parameters.
+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.
+ at end table
 @section subtitles

More information about the ffmpeg-cvslog mailing list