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authorGuo, Yejun <yejun.guo@intel.com>2020-02-21 14:20:48 +0800
committerGuo, Yejun <yejun.guo@intel.com>2020-03-12 18:22:39 +0800
commitbd50453894182af095c7d7578596e6ff6c58f852 (patch)
tree819d644c740561fd3d855b6d1f51c60a6fd2efcf /doc
parentd86a8c056b4a4e607d93cd91cbdc421bf55a022b (diff)
downloadffmpeg-bd50453894182af095c7d7578596e6ff6c58f852.tar.gz
avfilter/vf_dnn_processing.c: add planar yuv format support
Only the Y channel is handled by dnn, the UV channels are copied without changes. The command to use srcnn.pb (see vf_sr) looks like: ./ffmpeg -i 480p.jpg -vf format=yuv420p,scale=w=iw*2:h=ih*2,dnn_processing=dnn_backend=tensorflow:model=srcnn.pb:input=x:output=y -y srcnn.jpg Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Reviewed-by: Pedro Arthur <bygrandao@gmail.com>
Diffstat (limited to 'doc')
-rw-r--r--doc/filters.texi9
1 files changed, 9 insertions, 0 deletions
diff --git a/doc/filters.texi b/doc/filters.texi
index f988ea4c80..554eaff163 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -9196,6 +9196,8 @@ Set the output name of the dnn network.
@end table
+@subsection Examples
+
@itemize
@item
Halve the red channle of the frame with format rgb24:
@@ -9209,6 +9211,12 @@ Halve the pixel value of the frame with format gray32f:
ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.model:input=dnn_in:output=dnn_out:dnn_backend=native -y out.native.png
@end example
+@item
+Handle the Y channel with srcnn.pb (see @ref{sr} filter) for frame with yuv420p (planar YUV formats supported):
+@example
+./ffmpeg -i 480p.jpg -vf format=yuv420p,scale=w=iw*2:h=ih*2,dnn_processing=dnn_backend=tensorflow:model=srcnn.pb:input=x:output=y -y srcnn.jpg
+@end example
+
@end itemize
@section drawbox
@@ -17311,6 +17319,7 @@ Set quality level. The value @code{max} can be used to set the maximum level,
currently @code{6}.
@end table
+@anchor{sr}
@section sr
Scale the input by applying one of the super-resolution methods based on