encypruon

I think it's the best possible approach. It lets you refer to content that's unfortunately stuck on the site, while still signaling clearly that it's something to avoid if possible and to apologize for if not. Omitting the link just removes information without influencing consensus on whether to use X.

edit: I wish it would let me view the darn screenshot tho :c

> dot += A[i] * B[i];

Isn't it pretty bad for accuracy to accumulate large numbers of floats in this fashion? o.O In the example it's 640,000 numbers. log2(640,000) is ~19.3 but the significand of a float has only 23 bits plus an implicit one.

I'm extremely disappointed to learn that Firefox allows access to motion sensors by default and provides no option to make it ask for permission. It can only be disabled completely but this silently breaks legitimate uses like this one. This is a privacy nightmare. There is so much that can potentially be inferred from motion data, like user identity, mode of transport (maybe even location), what they're likely to be typing in the url bar or in an iframe, emotional state, a bunch of health information...

edit: Nice game, though. I wonder what it's made with. There seems to be a huge amount of generated shader code in the js. I wonder if that could be avoided.

After dismissing the final pop-up it will go on to proclaim:

  > Yes!
  > 80085 is 00000000000000000 in binary!

Sorry, some objections...

> It's for deep learning, not that much "for graphics".

No, while it is true that there is some overlap between the techniques and concepts used, gaussian splatting isn't necessarily "for deep learning". The library provides a differentiable rasterizer for gaussian splats. This basically means that you can ask it "if I want my output image to change in this and this direction, in what direction should I change the position / orientation / color / ... of my splats?". This enables users to plug it into other software (that is also commonly used for deep learning) and to optimize the parameters of the splats to represent a particular scene.

Since it's primarily a differentiable rasterizer for splats I think it's fair to say that it is "for graphics".

> The problem is "how do you do 3D deep learning 3D scene reconstruction" aka "how to make 3d equivalent of stable diffusion".

That it uses gradient descent doesn't mean that it is "deep learning". There are no neural networks or layers here.

It's not an "equivalent of stable diffusion". The way it's used now is to learn a representation of a single scene, not unlike photogrammetry. Sure, there may be other use cases for this library, but this is primarily what gaussian splatting is about.

I think I finally managed to disable tracker-miner on xfce.

  systemctl --user list-unit-files | grep -o "tracker-\S*\.service" | xargs systemctl --user mask

...wasn't enough. What did the trick was unchecking the remaining two entries in the "session and startup" settings dialog. Good riddance. It was the number one reason for my notebook heating up and draining battery.

AFAIK with the Nokia N900 this was possible in 2009 using gstreamer. I never actually used it to create a video device but I assume that the v4l2sink was already a thing back then. I did use it quite a few times for streaming to remote windows and OpenCV.

Only good phone I ever had. I wish things were as easy on Android devices, but somehow they almost never are.

Thanks a lot for the answers. And for everything else, too!

Good results without optimization at 300 mm sounds pretty impressive. Maybe belts are the way to go. Thanks for taking the time to elaborate!

It renders fine on my end. Try checking if your browser is blocking cdnjs.cloudflare.com for some reason.

> if you really care about backlash

At 1200 mm equivalent a picture is only about 1.15° high, so accuracy is important :)

> just measure it and then add a correction in your motor controller.

I think your first idea doesn't really work for tilting because there is little friction and the camera isn't going to be perfectly balanced (the center of gravity also changes with the focal length and even the focus). When gravity pulls the camera towards one direction backlash is less of a problem, but when it's near the tipping point it becomes really shaky and sensitive to disturbances. Past the tipping point it is biased towards the other direction.

Preloading might be an easy fix but at the cost of acceleration.

> Another way to do this is to always move back to endstop zero, and only move forward. THis is very limiting.

At least for panning in panoramas this isn't a bad solution at all. I think both your ideas are good for panning with planned paths.

> The biggest problem I had was all my PLA prints melted in the direct sun!

Was it white PLA? So far I've only had stuff bend out of shape in the car.