Getting Started with the JavaScript WebGL Face Tracking Library

Jun 10, 2024 | Data Science

If you’re looking to dive into augmented reality face filters, you’re in the right place! This lightweight JavaScript library leverages WebGL to detect and track faces in real-time, all from a camera video feed captured with WebRTC. In this guide, we’ll explore how to set it up, key features, and some troubleshooting tips.

Table of Contents

Features

The library is packed with innovative features:

  • Real-time face detection and tracking
  • Face rotation and mouth opening detection
  • Support for multiple faces
  • Robust performance in various lighting conditions
  • HD video acquisition and mobile-friendly
  • Interfacing capabilities with 3D engines like THREE.js, BABYLON.JS, and A-FRAME

Get Started

To kick things off, you’ll need to include the main script of the library, and then set up your HTML page. Here’s a simple analogy to grasp the setup process:

Imagine you’re setting up a stage for a play. The library is like a director that manages everything that happens on stage (your video feed). You’ll need a stage (the canvas) where the actors (the 3D content) will perform their role. Here’s how you can do it:

<html>
  <head>
    <script src="dist/jeelizFaceFilter.js"></script>
  </head>
  <body>
    <canvas width="600" height="600" id="jeeFaceFilterCanvas"></canvas>
    <script>
      JEELIZFACEFILTER.init({
        canvasId: "jeeFaceFilterCanvas",
        NNCPath: "neuralNets/NN_DEFAULT.json",
        callbackReady: function(errCode, spec) {
          if (errCode) {
            console.log("AN ERROR HAPPENS. ERROR CODE =", errCode);
            return;
          }
          console.log("INFO: JEELIZFACEFILTER IS READY");
        },
        callbackTrack: function(detectState) {
          // Render your AR scene here
        }
      });
    </script>
  </body>
</html>

Troubleshooting

Here are some common issues and their fixes:

  • GL_INCOMPATIBLE: This means your WebGL setup isn’t compatible. Ensure your browser supports WebGL2.
  • WEBCAM_UNAVAILABLE: If this error appears, check if your camera is accessible or in use by another application.
  • INVALID_CANVASID: Ensure that the canvas ID you provided matches the one in your HTML.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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