Based on our record, Yandex.Images seems to be a lot more popular than Google ARCore. While we know about 88 links to Yandex.Images, we've tracked only 8 mentions of Google ARCore. 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
Yandex Images - the best reverse-image search there is. Drag an image in, then click "Similar Images". It's useful to filter down to certain sites by using the "On this site" filter and entering domains like gettyimages.com, listal.com, bellazon.com - I've found Yandex Reverse really useful for dropping similar looking images (like the Filipa ones or AI-generated ones) in, and finding potential candidates. Source: 7 months ago
Run your picture through FaceApp to gender-swap it, and then upload it to https://yandex.com/images/ to find examples of other people who look somewhat like your gender-swapped self. Source: 11 months ago
You need to search 1) on Yandex and preferably 2) in Russian, though it's not that important it seems. Use e.g. Query грозный ссср фото (grozny sssr photo) and you'll get plenty of results. Source: 11 months ago
I dont insist on a video chat or phone call... But I do run every picture through yandex reverse image search. (yandex works WAY better than google, bing, or tineye). Source: 11 months ago
2.) Reverse image search the profile image that you use for YouTube, using TinEye, Yandex, etc. Source: 12 months ago
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.
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
Google Images - Google Images is a search service owned by Google that allows users to search the World Wide Web for image content.
ARToolKit - The world's most widely used tracking library for augmented reality.
SauceNAO - SauceNAO is a reverse image search engine.