@ -8440,9 +8440,12 @@ Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN).
See @url{http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf}.
@end itemize
Training scripts as well as scripts for model generation are provided in
Training as well as model generation scripts are provided in
the repository at @url{https://github.com/XueweiMeng/derain_filter.git}.
Native model files (.model) can be generated from TensorFlow model
files (.pb) by using tools/python/convert.py
The filter accepts the following options:
@table @option
@ -8453,14 +8456,19 @@ the following values:
@table @samp
@item native
Native implementation of DNN loading and execution.
@item tensorflow
TensorFlow backend. 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 model
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.
Note that different backends use different file formats. TensorFlow and native
backend can load files for only its format.
@end table
@section deshake