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There are no official binaries for pytorch on ARM processors. This may change in the future, but presently it means you have to build from source. The relevant face detection containers will need to updated and built for ARM once this is working. Note that if the deployment environment is a ARM device with CUDA (I.e. an Nvidia Jetson), then Nvidia does provide pytorch binaries for that platform.
There are no official binaries for pytorch on ARM processors. This may change in the future, but presently it means you have to build from source. The relevant face detection containers will need to updated and built for ARM once this is working. Note that if the deployment environment is a ARM device with CUDA (I.e. an Nvidia Jetson), then Nvidia does provide pytorch binaries for that platform.
Details on how to do this or how to get existing builds people have uploaded can be found here:
https://nmilosev.svbtle.com/compling-arm-stuff-without-an-arm-board-build-pytorch-for-the-raspberry-pi
pytorch/pytorch#23233
pytorch/pytorch#13130
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