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author | Shubhanshu Saxena <shubhanshu.e01@gmail.com> | 2021-08-26 02:40:49 +0530 |
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committer | Guo Yejun <yejun.guo@intel.com> | 2021-08-28 16:19:07 +0800 |
commit | 1da524121cf2f796f5ed2e1aecc18ad6dab3771c (patch) | |
tree | 6e3b665c78b0c9e475518ee9bc1074b937c8b121 /doc | |
parent | 660a205b053eea2f3d2e0e5af248413ac5f92c62 (diff) |
doc/filters.texi: Include dnn_processing in docs of sr and derain filter
Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
Diffstat (limited to 'doc')
-rw-r--r-- | doc/filters.texi | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/filters.texi b/doc/filters.texi index 925652bc02..44a9a47d1b 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -9990,7 +9990,7 @@ Note that different backends use different file formats. TensorFlow and native backend can load files for only its format. @end table -It can also be finished with @ref{dnn_processing} filter. +To get full functionality (such as async execution), please use the @ref{dnn_processing} filter. @section deshake @@ -19355,7 +19355,7 @@ Default value is @code{2}. Scale factor is necessary for SRCNN model, because it input upscaled using bicubic upscaling with proper scale factor. @end table -This feature can also be finished with @ref{dnn_processing} filter. +To get full functionality (such as async execution), please use the @ref{dnn_processing} filter. @section ssim |