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@drjerk1 This sounds like an interesting project. But with my question I hoped that you may know some module where parts of the code are from, that can be used....

I'ill have a look.

@fangfufu you seem to have a typo here: https://github.com/fangfufu/Linux-Fake-Background-Webcam/blob/master/fakecam/akvcam.py#L57 When you tested using this code, you'll probably have swapped colors without the typo.

Have a look at tensorflow tutorials for your platform. It isn't always easy to get the right versions. You need `tensorflow-gpu` and it has to match the installed CUDA version....

You should be able to get much of the stuff from your linux distribution, but I think for CuDNN and some others you need a download from nvidia.com that requires...

Are you sure that the unused variable `iamge` is intended? You have typo in the variable name and because of this the converted frame is never used. When the frame...

I need more time to test such stuff. I forked pyfakewebcam after the author added a note that it's unmaintained. Maybe it would be useful to merge it there. But...

I know it's a mess to get the right versions and I don't know a good advice for your system either. Looks at basic tutorials and FAQs and try to...

After reading in the pyfakewebcam source that looks very similar to your code, I found out that you can just configure akvcam to use YUYV2 as format. Adapted from https://github.com/webcamoid/akvcam/wiki/Configure-the-cameras...

I use a virtual enviroment and installed the packages with `pip install -r requirements.txt`. The dependencies should be installed automatically. Depending on the tensorflow version you may need a different...