Re: [FFmpeg-devel] [PATCH v2] libavfi/dnn: add LibTorch as one of DNN backend

[Cosmin Stejerean via ffmpeg-devel <ffmpeg-devel@ffmpeg.org>]

> On Feb 1, 2024, at 11:26 PM, wenbin.chen-at-intel.com@ffmpeg.org wrote:
> 
> From: Wenbin Chen <wenbin.chen@intel.com>
> 
> PyTorch is an open source machine learning framework that accelerates
> the path from research prototyping to production deployment. Official
> websit: https://pytorch.org/. We call the C++ library of PyTorch as
> LibTorch, the same below.
> 
> To build FFmpeg with LibTorch, please take following steps as reference:
> 1. download LibTorch C++ library in https://pytorch.org/get-started/locally/,
> please select C++/Java for language, and other options as your need.
> 2. unzip the file to your own dir, with command
> unzip libtorch-shared-with-deps-latest.zip -d your_dir
> 3. export libtorch_root/libtorch/include and
> libtorch_root/libtorch/include/torch/csrc/api/include to $PATH
> export libtorch_root/libtorch/lib/ to $LD_LIBRARY_PATH
> 4. config FFmpeg with ../configure --enable-libtorch --extra-cflag=-I/libtorch_root/libtorch/include --extra-cflag=-I/libtorch_root/libtorch/include/torch/csrc/api/include --extra-ldflags=-L/libtorch_root/libtorch/lib/
> 5. make
> 
> To run FFmpeg DNN inference with LibTorch backend:
> ./ffmpeg -i input.jpg -vf dnn_processing=dnn_backend=torch:model=LibTorch_model.pt -y output.jpg
> The LibTorch_model.pt can be generated by Python with torch.jit.script() api. Please note, torch.jit.trace() is not recommanded, since it does not support ambiguous input size.
> 
> Signed-off-by: Ting Fu <ting.fu@intel.com>
> Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>

Is there any feedback on this patch? It would be great to get this in before 7.0. 

- Cosmin


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