| 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| State | Superseded |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 | expand |
| Context | Check | Description |
|---|---|---|
| andriy/x86_make | success | Make finished |
| andriy/x86_make_fate | success | Make fate finished |
| andriy/PPC64_make | success | Make finished |
| andriy/PPC64_make_fate | success | Make fate finished |
> -----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".
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 --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
Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com> --- doc/filters.texi | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-)