Killercoda offers free environments (based on Ubuntu) with various tools for beginners to try hands-on. It also has the Kubernetes playground which provides control plane server access for 1 hour. In which we can try to practice hands-on with control plane components. Because sometimes we are dependent on training platforms to try the control plane (or kubeadm) practice, and killercoda comes handy as a free... - Source: dev.to / about 1 year ago

Maybe check out the canonical page instead: https://killercoda.com. Source: about 1 year ago

Https://killercoda.com/ has a few scenarios. Source: about 1 year ago

I think killercoda is pretty cool, they don't have a lot of scenarios yet but it does create them like killer.sh does. You can even submit scenarios! Source: over 1 year ago

Killercoda has free labs, I recommend doing those. And there are a few other sites offering paid practice exams or even question dumps, but some of those seem sketchy. I'd personally stick to KodeKloud, killer.sh and Killercoda. Source: over 1 year ago

I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: about 1 year ago

If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: about 2 years ago

You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 2 years ago

If the phone doesn't support ARCore, then you would have to implement all of the world / surface detection yourself inside your application code, which is very difficult problem to solve. Source: over 2 years ago

If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 2 years ago