Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed for detecting objects in images. It leverages advanced AI models to identify objects, people, and patterns within visual data, enabling developers to integrate object detection capabilities into web applications seamlessly.

Features

• Real-time Object Detection: Quickly identify objects within images or video streams. • High Accuracy: Utilizes state-of-the-art AI models for precise detection. • Multiple Model Support: Compatible with popular transformer-based models. • Easy Integration: Simple API for developers to implement object detection. • Cross-Platform Compatibility: Works across modern web browsers.

How to use Transformers.js ?

1. Include the Library: Add Transformers.js to your project via a CDN or npm.

   <script src="https://cdn.jsdelivr.net/npm/@transformersjs/transformers.js/dist/index.min.js"></script>
   

2. Initialize the Detector: Create an instance of the detector with your preferred model.

   const detector = new TransformersJS.Detector('model-name');
   

3. Load the Model: Wait for the model to load before processing images.

   detector.load().then(() => {
     // Model is ready to use
   });
   

4. Process an Image: Pass an image element or URL to the detector.

   const img = document.getElementById('image');
   detector.detect(img).then(results => {
     console.log('Detected objects:', results);
   });
   

Frequently Asked Questions

What browsers are supported by Transformers.js?
Transformers.js supports modern browsers that implement WebGL and WebAssembly, including Chrome, Firefox, and Safari.

How does Transformers.js differ from other object detection libraries?
Transformers.js focuses on leveraging transformer-based architectures, which often provide higher accuracy and better performance for complex object detection tasks.

Can I use Transformers.js for video analysis?
Yes, Transformers.js can process video streams by analyzing individual frames. However, for real-time video processing, you may need to optimize the frame rate and model inference speed.