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Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

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Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#21

Post by photojosh »

perryprog wrote: post #19

> Unfortunalely, your browser doesn't support accessing your webcam. This is in Safari — is this really the case? I'm not a web dev, so I don't really know, but AFAIK Safari can do web cam. And if not now, they should support WebRTC in High Sierra, correct?

Correct. There's no support for getUserMedia().

We've done some WebRTC stuff using Chrome. Super excited for iOS 11 where it'll be available (and High Sierra too, but that's not as big an issue as we can just tell people to use Chrome).

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#22

Post by quickthrower2 »

follo wrote: post #5
manifestsilence wrote: post #3

I can't wait for someone to make a sign language browser interface out of this. I'm sure things like that have been done with desktop accessibility apps, but embedding it into a web page or browser plugin would be amazing.

Please correct my understanding here if I'm wrong, but if a user was able to use sign language wouldn't they be able to type? What accessibility improvement are you envisioning?

Learning sign language

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#24

Post by Oras »

quickthrower2 wrote: post #22
follo wrote: post #5

Earlier quoted context omitted.

Please correct my understanding here if I'm wrong, but if a user was able to use sign language wouldn't they be able to type? What accessibility improvement are you envisioning?

Learning sign language

exactly what I thought

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#25

Post by wst_ »

Which reminds me... I saw a funny trick once. Probably impossible through network, but there was an implementation that would always win, no matter what you'd choose. The secret was, image recognition was instantaneous and showed winning hand on the screen so fast that human assumed it is fair play. At the beginning you'd thought they are lucky. After few games - they have a good prediction algo. But after some time you feel weird. Of course people guessed sooner or later, but it was funny anyway.

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#26

Post by triplesec »

wst_ wrote: post #25

Which reminds me... I saw a funny trick once. Probably impossible through network, but there was an implementation that would always win, no matter what you'd choose. The secret was, image recognition was instantaneous and showed winning hand on the screen so fast that human assumed it is fair play. At the beginning you'd thought they are lucky. After few games - they have a good prediction algo. But after some time…

Ah yes. No idealistic Asimov algorithms for real robots. You can't trust them, especially when programmed by wetware in the first place.

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#27

Post by waqf »

wst_ wrote: post #25

Which reminds me... I saw a funny trick once. Probably impossible through network, but there was an implementation that would always win, no matter what you'd choose. The secret was, image recognition was instantaneous and showed winning hand on the screen so fast that human assumed it is fair play. At the beginning you'd thought they are lucky. After few games - they have a good prediction algo. But after some time…

This one? https://www.youtube.com/watch?v=Qb5UIPeFClM

Re: Show HN: Play rock-paper-scissors against your computer via webcam, neural nets

#29

Post by RepressedEmu »

quickthrower2 wrote: post #22
follo wrote: post #5

Earlier quoted context omitted.

Please correct my understanding here if I'm wrong, but if a user was able to use sign language wouldn't they be able to type? What accessibility improvement are you envisioning?

Learning sign language

My friends and I worked on this problem for a hackathon and even managed to get 3 letters that could be recognized! The judges were unimpressed and the win went to a group that copied a project off of instructables.com :)
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