Based on our record, Quick Draw Game should be more popular than Google ARCore. It has been mentiond 27 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: 11 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: about 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
Right, but for a square, you have to add 8 samples, not 2, to handle the 4 starting points and 2 directions, but this does not account for the users who multi-stroke > Different strokes... I see what you did there :] I'm definitely in the reduce user burden camp. https://quickdraw.withgoogle.com/ is a good baseline to start from for a more resilient gesture recognizer. - Source: Hacker News / 6 months ago
Https://quickdraw.withgoogle.com/ Its like a drawing game, where it says soemthing like necklace and you have to draw what it says. Source: 9 months ago
At the suggestion of some of my pencil pals, I am trying DRAW IT (by Kwalee). It's a fast, party style game that seems to have a large (always on) user base. It's like Google Quick Draws ( https://quickdraw.withgoogle.com) with a learning AI judging you on your (very) quick sketches. I will miss the slower, patient, play-by-mail DS! brought... And also the massive potential to go wild the original DS! Had with... Source: 10 months ago
I love social experiments like that, makes you think about our own behavior. On a side note, I am always amazed to the kind of representation bias trap we all fall into: we always picture things the way we commonly know about it/remember it (see the NY museum pics in the video). One can experience the same creepy sense by playing QuickDraw[1] and watching sketches by others. For computer vision practitioners, no... - Source: Hacker News / 11 months ago
“Quick Draw with Google” is a go-to for middle school— I haven’t tried it with high school yet. That’s if there’s some sort of smart board available. Otherwise, I just let kids know that if they’ve completed what’s left by the teacher, they can work on other classes or have free time as long as they keep the noise level down so everyone else can finish. I personally don’t mind the kids chit-chatting, but I’ve had... Source: about 1 year ago
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
Colornet - Neural Network to colorize grayscale images
Apple ARKit - A framework to create Augmented Reality experiences for iOS
DALL-E - Creating images from text, from Open AI
ARToolKit - The world's most widely used tracking library for augmented reality.
AETROS - Create, train and monitor deep neural networks