Stanleyc23

17 ms·

1. 151.▲
   by Stanleyc23 10y ago

   I started playing with computer vision toolkits like OpenCV in the late summer, took a couple months to play with different tutorials, then it took another couple months to launch a simple iOS game with face and mouth detecting. As an MVP,
2. 152.▲
   Debug Politics Hackathon(debugpolitics.com)

   1 points by Stanleyc23 10y ago|0 comments
3. 153.▲
   by Stanleyc23 10y ago

   i used a combination of opencv and dlib. opencv for the face detection and dlib for the landmark detection. but technically dlib actually does the face detection too so opencv is strictly necessary.
4. 154.▲
   by Stanleyc23 10y ago

   i made this app in my spare time; would love feedback and critiques. definitely plan on iterating on the game. ask me anything! --stan
5. 155.▲
   Show HN: snapchat meets fruit ninja – GameFace (iOS app)(itunes.apple.com)

   2 points by Stanleyc23 10y ago|3 comments
6. 156.▲
   by Stanleyc23 10y ago

   PL-SVO is also a very new and interesting approach to watch out for. They open sourced the stereo slam version and claim the monocular one is on the way. http://mapir.isa.uma.es/mapirwebsite/index.php/people/1
7. 157.▲
   by Stanleyc23 10y ago

   ah thanks. really appreciate the lead. do you yourself happen to have much experience in the space of machine learning or compression?
8. 158.▲
   by Stanleyc23 10y ago

   Very cool! if anyone who comes across this particular thread knows about papers/research being written about this topic, I'd be very interested to learn more.
9. 159.▲
   by Stanleyc23 10y ago

   Oh what I was imagining was more like if I was watching a news broadcast and so all I care about was the news anchor person, and the main on screen grapic/text. If you Compress down other things like the table or the background or wrot
10. 160.▲
    by Stanleyc23 10y ago

    Just a random idea: could machine learning algorithms that do object recognition help to improve the compression of images or videos? Maybe a lossy algorithm could compress away "irrelevant" things. This way a high resolution fram
11. 161.▲
    by Stanleyc23 10y ago

    >>our product is designed in a way that can easily adapt to varying needs of different businesses. Can you elaborate on how you'd do this with a fast enough go to market strategy? Fragmentation is one of the biggest barriers to e
12. 162.▲
    by Stanleyc23 10y ago

    You mentioned "hotel-branded". So is adoption dependent on getting interest from hotels first?
13. 163.▲
    by Stanleyc23 10y ago

    Im still a bit confused. I've been on both the building side and the hiring side so I'd be in your target market. Can you contrast this model from hiring a typical dev shop or freelancer to fill a project spec for me? The business
14. 164.▲
    by Stanleyc23 10y ago

    Isn't a $13.5mn total market opportunity a bit small?
15. 165.▲
    by Stanleyc23 10y ago

    That's funny because i got used to the force touch application switching gesture of swiping from the left side. When I got handed an ipad, I found myself making the gesture and then remembering that I need the double press on the home
16. 166.▲
    by Stanleyc23 10y ago

    This really resonated with the product related challenges I have to deal with at my current startup job. Prior to me joining, they were operating off a Trojan Horse strategy, but all it does is it trick you into a false sense of thinking yo