Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed for detecting objects in images. It leverages the power of Transformer-based AI models to enable robust object detection capabilities within web applications. The library is optimized for performance and ease of use, making it accessible for developers to integrate advanced computer vision features into their projects.

Features

• Real-time Object Detection: Detect objects in images with high accuracy using pre-trained Transformer models. • Support for Popular Models: Includes support for widely-used models like YOLO, SSD, and others. • Cross-Browser Compatibility: Works seamlessly across modern web browsers. • Lightweight and Efficient: Optimized for performance to ensure smooth operation without heavy computational overhead. • Easy Integration: Simple API for integrating object detection into web applications. • Extensive Documentation: Comprehensive guides and examples to help developers get started quickly.

How to use Transformers.js ?

1. Install the Library: Use npm to install Transformers.js in your project:

   npm install transformers.js
   

2. Import the Library: Include the library in your JavaScript file:

   import { ObjectDetector } from 'transformers.js';
   

3. Initialize the Detector: Create a new instance of the object detector:

   const detector = new ObjectDetector();
   

4. Load a Pre-trained Model: Load a pre-trained model for object detection:

   detector.loadModel('yolov5');
   

5. Detect Objects in an Image: Pass an image element to the detector and get results:

   const img = document.getElementById('image');
   detector.detect(img).then(results => {
       console.log(results); // Array of detected objects with bounding boxes and class labels
   });
   

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js supports popular models like YOLO (v5, v6, v7), SSD MobileNet, and others. You can load any supported model using the loadModel() method.

How can I optimize performance for real-time detection?
To optimize performance, use smaller models like YOLOv5s or enable quantization during model loading. Additionally, ensure the input images are resized appropriately before detection.

What formats of images are supported?
Transformers.js supports standard image formats, including JPEG, PNG, and WebP. The input can be a file, a canvas, or an image element.