arcore-android-sdk VS Visual Studio Code

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

once that is done, you need to download the apk for the ARCore, wget https://github.com/google-ar/arcore-android-sdk/releases/download/sdk-preview2/arcore-preview2.apk

Clone this repo and open Android Studio on the hello_ar directory. https://github.com/google-ar/arcore-android-sdk/tree/master/samples/hello_ar_kotlin

I haven’t developed AR in Unity, but scanning a marker with ARCore (native android) is actually very easy. Here’s some samples: https://github.com/google-ar/arcore-android-sdk/tree/master/samples

Found a fix. I found out v1.27.0 is the latest working version. I downloaded it from github

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 https://developers.google.com/ar/ or android devices). The problem is that without first-hand depth information, you need some way to guess that: you can train vision models to estimate coarse depth (e.g. https://openaccess.thecvf.com/content_CVPRW_2019/papers/Deep%20Vision%20Workshop/Ren_Deep_Robust_Single_Image_Depth_Estimation_Neural_Network_Using_Scene_CVPRW_2019_paper.pdf) but I am not sure if they are "exact" enough for your use case.

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.

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.

An IDE installed like Visual Studio Code

Which looks like the last picture in this comment: https://github.com/microsoft/vscode/issues/36512#issuecommen...

Just be prepared to experiment a lot, VSCode's (Electron's?) font handling is buggy.

Why are font features so difficult to support correctly?

This template was built using a variety of powerful frameworks and tools, including: .NET, Ngrok, JWT (JSON Web Tokens), Entity Framework, AutoMapper, FluentValidation, Flurl, Humanizer, libphonenumber-csharp, MailKit, OAuth, Serilog, Twilio, Swagger, React.js, React Native, React Navigation, Axios, Expo Dev, Lodash, NativeWind, React Hook Form, Zustand, Visual Studio Code, Visual Studio, Android Studio, Git, GitHub Copilot, Node.js, React Native Paper, NextUI

Cursor is basically an AI-powered code editor on steroids. It is a fork of Visual Studio Code, bringing advanced AI capabilities to a familiar interface.

Developed by Microsoft, Visual Studio Code (VS Code) is the best free source code editor with support for Windows, Linux, and macOS. It is open source and licensed under MIT. Due to its support for many programming languages including JavaScript, Python, and Node.js, VS code is used by many developers as a primary source code editor. It excels by providing features such as syntax highlighting, code folding, Intellisense for major programming languages, and built-in debugging.

VS Code Installation: Download the .deb or .rpm package from code.visualstudio.com and install it using your package manager.

Visual Studio Code: (https://code.visualstudio.com)

If you haven't already installed VS Code, you can do so by downloading VS Code

This tutorial is friendly for beginners with a basic familiarity with React.js. You'll need Node.js and an IDE, like VS Code. You can find Node.js here and VS Code here.

AI-Enhanced IDEs: These are development environments with built-in AI capabilities, such as Cursor or Visual Studio Code with AI extensions.