Docker made it easier to package up the dependencies (especially aligning cuda e... | Hacker News

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		BenTheElder on April 10, 2020 \| parent \| context \| favorite \| on: Open-Source Virtual Background Docker made it easier to package up the dependencies (especially aligning cuda etc.), and containers are my dayjob :-) The web requests are just an easy mode of IPC to pass around some bags of bytes, "high frame rate" is at most 30 qps ... that part isn't really interesting performance wise and this isn't a production tool :-) I'm not sure I'd be so confident about tensorflow.js being so fast on the CPU ... you can see a marked difference in the backends httpss://www.tensorflow.org/js/guide/platform_environment

oliv3r on April 15, 2020 [–]

So this is super cool, and I would love to use it, but sadly, in your write-up you mention _requires_ nVidia hardware, which sadly, I don't have :(

Any follow up on making this more generic, e.g. with AMD/Intel setups?

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