Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It allows users to upload an image and detect objects within it using modern transformer-based models. Built for both browser and Node.js environments, Transformers.js provides an efficient and user-friendly way to integrate object detection capabilities into web applications.

Features

• Model Support: Compatible with popular object detection models like YOLO, SSD, and more.
• Real-Time Detection: Processes images quickly for instant results.
• Cross-Platform: Works seamlessly in both browser and server-side (Node.js) environments.
• Ease of Use: Simple API with minimal setup required.
• Open Source: Fully customizable to meet specific project needs.

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 Transformers.js in your JavaScript file.

   const {TransformerDetector} = require('transformers.js');
   

3. Initialize the Detector: Create a detector instance with your preferred model.

   const detector = new TransformerDetector('yolov5s');
   

4. Load an Image: Upload or provide an image file for detection.

   const image = document.getElementById('image').files[0];
   

5. Detect Objects: Run the detection and get results.

   detector.detect(image).then(results => {
     console.log(results);
   });
   

6. Handle Results: Use the returned object detections as needed.

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js supports a variety of pre-trained models, including YOLO, SSD MobileNet, and Faster R-CNN. You can specify the model when initializing the detector.

Can Transformers.js be used in production environments?
Yes, Transformers.js is optimized for both development and production use. It supports server-side processing with Node.js and client-side detection in browsers.

How do I handle non-image inputs?
Transformers.js is designed specifically for image inputs. For non-image data, consider preprocessing or converting the input to an image format before detection.