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authorXuewei Meng <xwmeng96@gmail.com>2019-07-27 05:59:26 +0300
committerSteven Liu <lq@chinaffmpeg.org>2019-08-22 10:25:47 +0300
commitc87237d10511a28a3cfb7bb88ed2af1907dc8f66 (patch)
tree5b3f8dd0f30648bd330e5798dafd7cc181bb4821 /doc
parentaeae6283a9d5c84c1752bd270838ad738fff3d45 (diff)
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>
Diffstat (limited to 'doc')
-rw-r--r--doc/filters.texi16
1 files changed, 12 insertions, 4 deletions
diff --git a/doc/filters.texi b/doc/filters.texi
index cf963413fc..323c02970e 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -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