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Transformers.js is a JavaScript library designed for object detection in images. It offers a user-friendly, drag-and-drop interface that simplifies the process of detecting objects within images. Built for modern web applications, Transformers.js integrates seamlessly with popular frameworks like React and Vue.js, making it a versatile tool for developers.
• Ease of Use: Drag-and-drop functionality for straightforward object detection. • Pre-trained Models: Supports popular models like YOLO, SSD, and Faster R-CNN for accurate detection. • Cross-Framework Compatibility: Works with React, Vue.js, and vanilla JavaScript. • Customizable: Allows developers to fine-tune detection parameters and thresholds. • Multiple Input Support: Accepts both images and video streams for detection. • Real-Time Detection: Capable of processing inputs in real-time for dynamic applications. • Lightweight: Optimized for performance without compromising on accuracy. • Community-Driven: Actively maintained with contributions from the developer community.
Install the Package
Run npm install transformersjs or yarn add transformersjs to include it in your project.
Import the Library
import Transformers from 'transformersjs';
Initialize the Detector
const detector = new Transformers.Detector({
model: 'yolo', // or 'ssd', 'faster-rcnn'
threshold: 0.5
});
Add Event Listener
detector.addEventListener('detection', (results) => {
console.log('Detected objects:', results);
});
Load and Detect
Use the detect method with an image or video element:
detector.detect(document.getElementById('image'));
What frameworks does Transformers.js support?
Transformers.js is compatible with React, Vue.js, and vanilla JavaScript applications, making it a flexible choice for different projects.
Do I need advanced AI knowledge to use Transformers.js?
No, Transformers.js is designed to be user-friendly. Basic JavaScript knowledge is sufficient to integrate and use the library.
What models are available for object detection?
Transformers.js supports popular models like YOLO, SSD, and Faster R-CNN. You can choose the model based on your specific needs for speed and accuracy.