No Google ARCore videos yet. You could help us improve this page by suggesting one.
Based on our record, Vector Magic should be more popular than Google ARCore. It has been mentiond 35 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 think vector magic is the current state of the art: https://vectormagic.com/?=20 No one seems to have tried to leverage deep learning yet; either because they haven't thought of doing so, or it just wouldn't be worthwhile. Image to SVG's are an inherently deterministic task, with not much room for the noisy error of most deep learning models like stable diffusion and such. I think algorithmic approaches... - Source: Hacker News / 5 months ago
The best pixel to vector is still vectormagic. They are on it since at least 2009 and have a native desktop app. I am not affiliated but just a bit flabbergasted that they are still so far ahead. https://vectormagic.com/. - Source: Hacker News / 6 months ago
This is the most impressive raster to vector I have seen: https://vectormagic.com Vtracer doesn't seem to do as well. - Source: Hacker News / 6 months ago
I'm a graphic designer and Vector Magic[1] still is my gold standard for vectorizing logos. Expensive but worth it. [1] https://vectormagic.com/. - Source: Hacker News / 9 months ago
When it comes to converting PNG images to SVG, Vector Magic stands out as a reliable tool with a long-standing reputation. While Vector Magic is not free, its automatic vectorization capabilities have made it a go-to choice for many designers and developers. It’s worth noting that it also supports other raster image formats like JPG, BMP, and GIF. With a few simple steps, you can convert bitmap images to... - Source: dev.to / 11 months 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: 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
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
Apple ARKit - A framework to create Augmented Reality experiences for iOS
Vectorizer.io - Fast and easy way to vectorize an image online
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
potrace - Open source program that transforms bitmaps into vector graphics.
ARToolKit - The world's most widely used tracking library for augmented reality.