Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to easily integrate object detection models into web applications, enabling the detection of objects within uploaded images. Built on top of the popular Transformers model architecture, Transformers.js provides a seamless way to leverage pre-trained models for image analysis.

Features

• Pre-trained Models: Supports popular object detection models like YOLO, SSD MobileNet, and Faster R-CNN.
• ** Lightweight and Flexible**: Optimized for web environments, making it easy to integrate with modern web frameworks.
• Real-time Detection: Capable of performing object detection in real-time with high accuracy.
• Configurable: Allows customization of detection thresholds and model parameters.
• Compatibility: Works with various image formats and can be easily paired with modern web technologies.

How to use Transformers.js ?

1. Install the Library
   Run the following command to install Transformers.js via npm:

   npm install transformers.js  
   

2. Import the Library
   Include Transformers.js in your JavaScript file:

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

3. Load the Model
   Load a pre-trained object detection model:

   const model = new Transformers('object-detection');  
   

4. Detect Objects
   Pass an image to the model for object detection:

   const results = model.detectObjects(image);  
   

5. Handle Results
   Use the detection results to display bounding boxes or take further action:

   results.forEach((result) => {  
     console.log(`Detected ${result.label} with ${result.score.toFixed(2)} confidence`);  
   });  
   

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js supports popular object detection models such as YOLO, SSD MobileNet, and Faster R-CNN. These models are pre-trained on large datasets and can be easily loaded for inference.

Can Transformers.js perform real-time object detection?
Yes, Transformers.js is optimized for real-time object detection. However, the performance depends on the model selected and the computational resources available.

How do I handle the detection results?
The detection results are returned as an array of objects, each containing the detected label, score, and bounding box coordinates. You can use these results to display annotations, trigger actions, or store data for further analysis.