Google ARCore
Vuforia SDK
Apple ARKit
ARToolKit
ZapWorks
Wikitude SDK
Vuforia
MAXST
IQDB
SauceNAO
TinEye
Yandex.Images
NISE
isk-daemon
Google Images
trace.moe
Google ARCoreBased on our record, IQDB should be more popular than Google ARCore. It has been mentiond 66 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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: 12 months 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
A post containing non-OC artwork should link the original source in the comments. "Art" post should credit the artist in the title. Original source should link to the artist's own post of the artwork and not from image aggregating sites such as Pinterest, Zerochan, Danbooru, etc. If you cannot find the original creator, then please try using SauceNAO or IQDB. Do not repost an art if its artist does not allow repost. Source: 5 months ago
Non-OC artwork post should credit the artist in the title and should link the original source in the comments. Original source should link to the artist's own post of the artwork and not from image aggregating sites such as Pinterest, Zerochan, Danbooru, etc. If you cannot find the original creator, then please try using SauceNAO or IQDB. Make sure that the artist allows repost. Source: 9 months ago
Removed, rule 5 warning: you must be prepared to provide the source artwork/artist in the comments when submitting. Please use SauceNAO or IQDB to help you. Source: 11 months ago
When posting art you didn't make, credit the original artist in the title and provide a source link. Provide the URL to the original post made by the artist or link the artist's primary platform. If you cannot find the original creator, then please try using SauceNAO or IQDB. Source: about 1 year ago
Please try to provide the source for fan art. Iqdb and Yandex are good tools for helping you find a source. Source: about 1 year ago
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
SauceNAO - SauceNAO is a reverse image search engine.
Apple ARKit - A framework to create Augmented Reality experiences for iOS
TinEye - Reverse Image Search to help find an image's source, duplicates or altered versions.
ARToolKit - The world's most widely used tracking library for augmented reality.
Yandex.Images - search for images on the internet, search by image