yeldarb

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511.
Why We Built the ARKit Sudoku Solver (Computer Vision and Augmented Reality = Wow)(medium.com)
4 points by yeldarb 9y ago|1 comments
512.
by yeldarb 9y ago
That's definitely on my list of things to try! Thanks for the push in that direction
513.
by yeldarb 9y ago
I just submitted v1.1 to the App Store that supports puzzles on a vertical plane so once that lands you can load up https://websudoku.com on your computer monitor to try it out! Sneak peek of that update: https://twit
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by yeldarb 9y ago
Sorry about that! That was happening when the phone traveled to the other side of the scene's origin from where it started. The angle calculation got confused. I just got that fixed and submitted to Apple in v1.1 this morning. Should b
515.
by yeldarb 9y ago
Love these ideas! I have a long list of ARKit apps I want to build.. if only there were more months in a year. I think my favorite is a Mario Kart style "ghost mode" for running. Where you could tell it what pace you wanted to go
516.
by yeldarb 9y ago
I think that bit would be easy; but I'd probably cheat. You don't need to understand the context of the clues. You just need a big enough wordlist to brute force with. Start with the longest words since they will have the least op
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by yeldarb 9y ago
Originally that was the goal. Unfortunately it wouldn't align exactly perfect (either the size was slightly off due to whether the rectangle detection snagged the inside or outside of the borders or the depth was slightly off so there
518.
by yeldarb 9y ago
A crossword solver was what I originally set out to build. iOS11's Vision APIs for rectangle detection weren't good enough to even have a shot at it though. With better rectangle detection I think it'd be pretty doable!
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by yeldarb 9y ago
Cool I'll put that on my todo list. Thanks!
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by yeldarb 9y ago
Tried those first but no, they didn't work great with the data I was able to extract; those datasets are only handwritten digits which apparently weren't close enough to the computer printed ones. I think the artifacts from the sq
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by yeldarb 9y ago
The parameters are not very well documented. (Or at least it wasn't when I was coding that part). But yeah I did get those set finally. Whatever I do though I can't get it to recognize any rectangles here: http://www.te
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by yeldarb 9y ago
Nice! Yeah, I am using Vision's rectangle detection.. but it's really touchy. I've got a lot of heuristics in there to throw out bad results and smooth things out. It doesn't do well if there's something near the pu
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by yeldarb 9y ago
I am! Good to see you :) I miss that place; I feel like we grew up there.
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by yeldarb 9y ago
Thanks for giving it a shot! Sorry it's not working for you. I'm working on a hack to get non-horizontal puzzles working right now. Unfortunately ARKit can only detect horizontal planes at this point so I'm trying to find a w
525.
by yeldarb 9y ago
I've played with AWS Rekognition a little bit. It's definitely WAY faster to do it on-device. Plus it works even in Airplane mode. I'm running the iOS11 Vision stuff, my own text recognition CoreML neural network (81 times pe
526.
by yeldarb 9y ago
All good; validates that I'm at least on the right track! Had to pare back my ambitions quite a bit to get _something_ finished before the iOS11 launch. I didn't expect the reception to be so enthusiastic for v1 tbh; but I guess I
527.
by yeldarb 9y ago
Well I wasn't going to spill the beans just yet but if you promise to keep a secret.. working on that for v2 :) Edit: Although so far I've learned that some people have VERY bad handwriting. I'm having a hard time sanitizing
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by yeldarb 9y ago
Actually the solving of the puzzle itself is just done with a simple recursive algorithm. I trained a neural network to do the computer vision part to interpret the puzzles. And there are a bunch of pre-trained networks built into iOS11&#x2
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by yeldarb 9y ago
Thanks! It's using a convolutional neural network which I minimally adapted from an MNIST tutorial (one of the reasons I picked this project to start with is that there are so many MNIST tutorials for how to do digit recognition out th
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by yeldarb 9y ago
It's mostly glue (but some of it is special glue). Oddly enough, digit recognition was one of the harder parts. iOS11's Vision API has character recognition but it only gives you a bounding box, it doesn't do the OCR! So fo
531.
by yeldarb 9y ago
Hi, thanks for submitting. I'm the developer of the app! Happy to answer any questions (I was going to write up a medium post about the technical side of building the app but haven't gotten a chance yet)
532.
by yeldarb 9y ago
Interested in hearing the opinion of any experts in differential privacy. Is it possible that a poor implementation could be worse than not using Differential Privacy at all? (My intuition would be "no".) How big of a tradeoff is
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Apple Risking User-Data Due to Poor Implementation of Differential Privacy(9to5mac.com)
2 points by yeldarb 9y ago|1 comments
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by yeldarb 9y ago
Neat. Has anyone created the diagram for 2012, 2016, or other historical Olympics?
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by yeldarb 9y ago
Why do you still work there?
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by yeldarb 9y ago
Make that at least two. This one is in Iowa: http://www.infobunker.com/overview.shtml
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by yeldarb 9y ago
You know, I think you said this facetiously.. but you might be on to something. The Facebook data center in Altoona is on building 4, after all: http://www.desmoinesregister.com/story/money/business/develo...
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by yeldarb 9y ago
It’s something we have to consider when deciding where to spend our time and resources. Those are dollars coming out of our customers’ wallets that don’t end up in our bank account. If we can acquire an open web user instead of a walled gar
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by yeldarb 9y ago
30% platform tax Servers Advertising
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by yeldarb 9y ago
Longest was Philippines for 2 months and China for 6 weeks. Besides that just bopped around SEA for 2-3 weeks at a time.

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