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

Message ID 20210821075905.12850-6-shubhanshu.e01@gmail.com
State Superseded
Headers show
Series [FFmpeg-devel,v2,1/6] lavfi/dnn: Task-based Inference in Native Backend
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Commit Message

Shubhanshu Saxena Aug. 21, 2021, 7:59 a.m. UTC
Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
---
 doc/filters.texi | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

Comments

Fu, Ting Aug. 23, 2021, 10:26 a.m. UTC | #1
> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of
> Shubhanshu Saxena
> Sent: Saturday, August 21, 2021 03:59 PM
> To: ffmpeg-devel@ffmpeg.org
> Cc: Shubhanshu Saxena <shubhanshu.e01@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@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.

> 
> _______________________________________________
> ffmpeg-devel mailing list
> ffmpeg-devel@ffmpeg.org
> https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
> 
> To unsubscribe, visit link above, or email ffmpeg-devel-request@ffmpeg.org
> with subject "unsubscribe".
Shubhanshu Saxena Aug. 23, 2021, 10:47 a.m. UTC | #2
On Mon, Aug 23, 2021 at 3:57 PM Fu, Ting <ting.fu@intel.com> wrote:

>
>
> > -----Original Message-----
> > From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of
> > Shubhanshu Saxena
> > Sent: Saturday, August 21, 2021 03:59 PM
> > To: ffmpeg-devel@ffmpeg.org
> > Cc: Shubhanshu Saxena <shubhanshu.e01@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@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.
>
> >
> > _______________________________________________
> > ffmpeg-devel mailing list
> > ffmpeg-devel@ffmpeg.org
> > https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
> >
> > To unsubscribe, visit link above, or email
> ffmpeg-devel-request@ffmpeg.org
> > with subject "unsubscribe".
> _______________________________________________
> ffmpeg-devel mailing list
> ffmpeg-devel@ffmpeg.org
> https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
>
> To unsubscribe, visit link above, or email
> ffmpeg-devel-request@ffmpeg.org with subject "unsubscribe".
>

I have confirmed this issue on my pc. Currently, I am trying to find the
cause of this problem and will update as soon as I find the cause. Thank
you.
diff mbox series

Patch

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