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JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

Home Page: https://jeeliz.com

License: Apache License 2.0

JavaScript 99.99% CSS 0.01%
augmented-reality object-tracking object-recognition javascript webxr real-time video webrtc web arkit

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jeelizar's Issues

IOS?

I tried it on my iPhone 8 IOS 14 in Safari and Google Chrome and didn't work.
It is only for Android?

Possible to use custom NN models as .json?

Hi there and thank you for this super awesome project!
I wanted to ask if we can use our own neural models and export them as .json to use with the library? I saw that you guys provide personal models for a price, but as a student im financially tied at the moment.

Thanks again!

[Question] Tracking COFFEE CUP in current demo

Hello there,

Firstly I must say what you guys have done is amazing!

I've tried the demo to track my coffee cup, but it seems like it can only detect my cup in some specific angles/perspective, doesn't it?

Another question is, can it recognizes 2 cups with the same shape but different image labels?
For example:
image

If it detect the cup with the heart label, we will show a 3D heart. Otherwise, we will show a 3D flower. Would it be possible?

Thanks,

Image tracking

Hi! Thanks for this awesome project!

Can this be used to track an image and estimate it's pose in 3D space, so we can use it as a target in 8thwall?

Image Recognition

Will jeelizAR work with 2D images too or is this library designed for 3D object detection use cases only?

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