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 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, 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 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 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 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 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 Read more…
In this tutorial you will learn how to build this webcam face filter : You can try it yourself by clicking here! Introduction Some native mobile applications such Snapchat, Facebook Lenses or MSQRD have popularized webcam face filters. There are even creative studio softwares to easily create face filters without Read more…
Recap for the previous part: In the first part, we saw how to export a 3D model to JSON with Blender. We then added our hat to our Three.js scene, and thus became a true pirate of the Grand Line! Pretty neat, huh? In this tutorial, we’ll use a user Read more…
The FaceFilter library allows you to effortlessly create Snapchat-like face filters in your web-app. It is built on top of our face detection neural network. It combines the power of deep learning with the versatility of WebGL/Three.js. To understand this tutorial you only need to have a medium knowledge of Read more…