doc: Add libtoch backend option to dnn_processing

Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
This commit is contained in:
Wenbin Chen 2024-03-25 10:15:08 +08:00 committed by Guo Yejun
parent f872b19714
commit ea2e0e92ed
1 changed files with 11 additions and 1 deletions

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@ -12073,11 +12073,21 @@ need to build and install the OpenVINO for C library (see
@code{--enable-libopenvino} (--extra-cflags=-I... --extra-ldflags=-L... might
be needed if the header files and libraries are not installed into system path)
@item torch
Libtorch backend. To enable this backend you need to build and install Libtroch
for C++ library. Please download cxx11 ABI version (see
@url{https://pytorch.org/get-started/locally})
and configure FFmpeg with @code{--enable-libtorch
--extra-cflags=-I/libtorch_root/libtorch/include
--extra-cflags=-I/libtorch_root/libtorch/include/torch/csrc/api/include
--extra-ldflags=-L/libtorch_root/libtorch/lib/}
@end table
@item model
Set path to model file specifying network architecture and its parameters.
Note that different backends use different file formats. TensorFlow, OpenVINO backend can load files for only its format.
Note that different backends use different file formats. TensorFlow, OpenVINO
and Libtorch backend can load files for only its format.
@item input
Set the input name of the dnn network.