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hwoolery

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founder of 2020CV

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You can look at MediaPipe's BlazeFace / BlazePose for faster inference for lower-end chips. I currently have an application that does realtime video with YoloV8-M on my Macbook at over 60fps

It's not total bullshit - compare Imatinib on GoodRX ($787) vs CostPlus ($14) for 30 tablets. What the company is doing is cutting out the (arbitrary) pharmacy markup. They take a 15% cut and are TRANSPARENT about their price (again, novel in the drug industry). If you followed their company, you'd also notice they have plans to further lower the margin by manufacturing their own drugs, but these things take time.

Let me add a bit of advice to any homeowners out there: learn to do the job yourself! I bought my house 5 years ago and I went from zero knowledge to remodeling the entire thing mostly on my own. Not only does it save you the hassle of having to deal with contractors, but in the cases when you need one, you'll be a lot more prepared to gauge the quote and timing.

"a few more remote friendly companies". Respectfully disagree - the market will make this decision, and now that employees have all tasted the benefit, they are going to work for companies that give them that freedom. On top of that, most companies have seen equal or greater productivity (no commute, fewer sick days, etc), and will at least downsize their real estate for cost savings. There's little argument to make people come back to an office if there is no obvious benefit.

The cropping issue is an unsolvable one for AI. It doesn’t matter how unbiased you want the model to be, if an algorithm has to chose between 2+ faces with no “correct” answer, it can’t win.

You might just think, why doesn’t it just identify the skin color and crop randomly based on that? Now what if there is two races of men and one woman in the image? Or vice versa? You quickly get into if/else hell.

The algorithm can be tuned to no end, but in the end, it’s dealing with an infinite amount of possibilities (not just faces) and it’s a problem that proves Twitter just needs to let the users adjust the crop or focus themselves.

Apologies if the title is confusing. The demo does use CNNs, as mentioned to predict the 2D joint locations of the hand. The whole point of this system is that it relies only on a monocular camera, allowing it to run on a wide range of devices. CoreML on iOS and Tensorflow Lite on Android handle all the GPU inference on these models

Of course it's a difficult problem, but why try and dissuade people from attempting it? Nothing novel ever came from somebody who didn't fail first : )

I created an app that uses ARKit + Machine Learning (CoreML) called InstaSaber that projects a virtual lightsaber out of a piece of rolled up paper: http://instasaber.com/

It was more a proof-of-concept of the technology I'm working on, but I think it's worth checking out (it's free to download). I think you will start to see a lot more cool implementations of ARKit/ARCore that integrate with CNN's and do new and unique things.

Edit: 20k downloads in first week, I haven't bothered to market it though.