[FFmpeg-devel] [PATCH v2 6/6] doc/filters.texi: Include dnn_processing in docs of sr and derain filter

[Fu, Ting]

> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces at ffmpeg.org> On Behalf Of
> Shubhanshu Saxena
> Sent: Saturday, August 21, 2021 03:59 PM
> To: ffmpeg-devel at ffmpeg.org
> Cc: Shubhanshu Saxena <shubhanshu.e01 at gmail.com>
> Subject: [FFmpeg-devel] [PATCH v2 6/6] doc/filters.texi: Include dnn_processing
> in docs of sr and derain filter
> 
> Signed-off-by: Shubhanshu Saxena <shubhanshu.e01 at gmail.com>
> ---
>  doc/filters.texi | 4 ++--
>  1 file changed, 2 insertions(+), 2 deletions(-)
> 
> diff --git a/doc/filters.texi b/doc/filters.texi index f7b6b61f4c..0b2da7c71f
> 100644
> --- a/doc/filters.texi
> +++ b/doc/filters.texi
> @@ -9974,7 +9974,7 @@ 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
> 
> @@ -19263,7 +19263,7 @@ 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
> 
> --
> 2.25.1

Hi, Shubhanshu
It crushed with command:
./ffmpeg -i cici.jpg -vf dnn_detect=dnn_backend=openvino:model=face-detection-adas-0001.xml:input=data:output=detection_out:confidence=0.6:labels=face-detection-adas-0001.label,dnn_classify=dnn_backend=openvino:model=emotions-recognition-retail-0003.xml:input=data:output=prob_emotion:confidence=0.3:labels=emotions-recognition-retail-0003.label:backend_configs='async=0',showinfo -f null -
It crushed only when async=0.
Please re-check the code with all dnn backends. You can get the necessary model files above in https://github.com/guoyejun/ffmpeg_dnn/tree/main/models/openvino/2021.1.

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