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