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.
Signed-off-by: Xuewei Meng <xwmen...@gmail.com>
---
doc/filters.texi | 18 +++++++++++-------
1 file changed, 11 insertions(+), 7 deletions(-)
diff --git a/doc/filters.texi b/doc/filters.texi
index 604e44d569..0d442e0a82 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -8362,11 +8362,11 @@ convolutional neural networks. Supported models:
@itemize
@item
-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
}.
+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}.
The filter accepts the following options:
@@ -8379,14 +8379,18 @@ 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
--
2.17.1
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