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I am trying to build an imaging system and I want to use Tensorflow with Orange pi 4G. Does anyone know if there are limitations, is this possible?

As I can see Orange PI 4g iot is still not compatible with Ubuntu but I hope it will be in the near future. Any information you could give me i will be happy.

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Official CI server for Tensorflow has some nightly builds with python wheels for raspberry pi armv7l, it is not officially supported by tensorflow yet, they officially support only 64-bit architectures so far, but I managed to get yolo-keras working on "orange pi pc plus" using their nightly build wheel file. You can also find the scripts they used for building the wheel (actually it's cross-built using a docker container) in directory tensorflow/tensorflow/tools/ci_build inside source code.

Some people also provided guides for native building, but it generally requires more effort to get it to work.

I suggest you start by trying the python wheel file for tensorflow v1.8.0 for raspberry pi armv7l architecture, found here.

Bahaa
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