JeelizAR is a JavaScript library that can detect elements in a video feed. By giving us the position of the detected object, it allows us to add augmented reality (AR) elements. Let’s learn together how to build amazing AR experiences for our users, in the **browser. Adding the source files to our project We’ll start off by setting up our index.html, where we’ll build our JeelizAR demo. Let’s add our source file. For this project, Read more…
Jeeliz AR is a JavaScript library that can detect an object in a video feed and give its precise position. Under the hood, we are using our custom deep learning algorithms to parse each video frame and analyse it, to try and find a target object. Here’s a demo: Currently, our network can detect chairs, mugs, bicycles and cats (see the online demo). Let’s see together how to use the Jeeliz AR API in our Read more…
The Jeeliz VTO widget API is a Javascript library that lets you add a glasses virtual try-on widget to your web app in minutes. The widget uses our custom JS deep learning framework to detect the user’s face and add to it the glasses frame in augmented reality (AR). Although the library is technically advanced, we made sure that any developer could easily add a Jeeliz VTO widget to his/her website, by creating a simple Read more…
The Jeeliz Webojis API is a Javascript library that lets us capture the user’s expressions with his/her webcam to reproduce those on an Apple Animojis-like 3D avatar. To allow anyone to use our webojis, we created an online platform where one can play with several avatars and record short video clips, for free. Let’s see together how to use this platform. Getting started For starters, let’s visit webojis.jeeliz.com. We arrive on the landing page of Read more…
The Jeeliz VTO widget API is a Javascript library that lets you add a glasses virtual try-on experience to your web app. The widget uses our custom JS deep learning framework to detect the user’s face and add to it the glasses frame in augmented reality (AR). Besides, we made available more than 300 glasses models for free to use (see the list of the skus here). We saw in a previous article, How to Read more…
The VTO Studio Lite is a web application made by Jeeliz. Anyone can build a glasses virtual try-on (VTO) experience in minutes! You can access to this amazing web application here: jeeliz.com/demos/glasses-studio. It requires 1366 pixels wide or above screen and a desktop computer. The VTO widget built won’t have these restrictions, it will even work on mobile devices. You can also watch a screenshot video of the application on our Youtube channel: https://www.youtube.com/watch?v=BwU3O05yx2A. In Read more…
Our solution We provide a cutting edge virtual try-on solution for head mounted accessories. It is perfect for glasses or ski masks. It works everywhere without installing anything: In a website browsed by a desktop computer or a mobile device, In a mobile application, On a showcase display. The glasses are displayed over the user’s head in real-time, using the video feed from its camera. If the device is too old or if the user Read more…
With Jeeliz Webojis library, you can build and embed Animoji in your web app. It is fully based on JavaScript and WebGL. Anyone can create Animoji-like experiences working into the web browser. In a previous tutorial, we learned how to create a custom Weboji from a 3D model using one of the Jeeliz Weboji API tools, the meshConverter. The next step consists in adding our newly created weboji to a website. Let’s start together! Basic Read more…
With Jeeliz Webojis library, you can build and embed Animoji in your web app. It is fully based on JavaScript and WebGL. With this library, Anyone can create Animoji-like experiences working into their web browser. Under the hood, the library uses our custom Javascript deep learning framework. It has been trained to detect facial expressions. Then they are reproduced on an animated 3D model. Any head 3D model can be used with our library with Read more…
I gave a talk entitled Deep Learning using WebGL the 29th of October 2018 at the University of Pennsylvania. I was invited by Patrick Cozzi, who leads the development of Cesium and who have written various amazing books about WebGL and 3D programming. I explained to Master2 students in computer graphics how to use the GPU to do computations with WebGL, then how to code the specific computations required for deep learning. I detailed some Read more…