Re: [FFmpeg-devel] [PATCH 2/2] libavfi/dnn: add LibTorch as one of DNN backend

[Soft Works <softworkz@hotmail.com>]

> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of Fu, Ting
> Sent: Tuesday, May 24, 2022 4:03 PM
> To: FFmpeg development discussions and patches <ffmpeg-devel@ffmpeg.org>
> Subject: Re: [FFmpeg-devel] [PATCH 2/2] libavfi/dnn: add LibTorch as one
> of DNN backend
> 
> Hi Jean-Baptiste,
> 
> I am trying to add this backend since we got some users who have interest
> in doing PyTorch model(BasicVSR model) inference with FFmpeg.
> And as we all know, the PyTorch is one of the most popular AI inference
> engines and it has large number of models. So, I think if LibTorch is one
> of FFmpeg DNN backend, would help the PyTorch users a lot.
> 
> PS, ONNX is not in my plan. I am going to improve the LibTorch backend
> performance and make it compatible with more models in next steps.
> 
> Thank you.
> Ting FU

Hi Ting,

I've never looked at the DNN part in ffmpeg, so just out of curiosity:

Is this working 1-way or 2-way? What I mean is whether this is just about
feeding images to the AI engines or does the ffmpeg filter get some data
in return for each frame that is processed?

So for example, in case of object identification/tracking, is it possible
to get identified rectangles back from the inference result, attach it to
an AVFrame so that a downstream filter could paint those rectangles on
each video frame?

Thanks,
softworkz



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