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Detect objects in an image
Transformers.js

Transformers.js

Detect objects in images

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What is Transformers.js ?

Transformers.js is a lightweight JavaScript library designed for object detection in images. It leverages powerful pre-trained models to identify and locate objects within images, making it a versatile tool for various computer vision applications.

Features

• Multiple Model Support: Utilizes popular models like YOLO (You Only Look Once) and SSD (Single Shot Detector) for robust object detection.
• Real-Time Detection: Optimized for fast and accurate object detection in real-time scenarios.
• Custom Models: Allows integration of custom-trained models for specific use cases.
• TensorFlow.js Integration: Built to work seamlessly with TensorFlow.js for browser-based deployments.
• Browser Compatibility: Functions across modern browsers, including Chrome, Firefox, and Safari.
• Lightweight: Low memory footprint for efficient performance.
• Canvas Context Compatibility: Works with HTML5 Canvas for rendering and processing images.

How to use Transformers.js ?

  1. Install the Library: Include Transformers.js in your project via npm or CDN.
    npm install transformers.js
    
  2. Import the Library: Require or import the library in your JavaScript file.
    const { Detector, Models } = require('transformers.js');
    
  3. Load a Pre-Trained Model: Load a supported model (e.g., YOLOv3).
    const model = await Models.load('yolov3');
    
  4. Load an Image: Load an image and draw it onto a canvas context.
    const img = new Image();
    img.src = 'path/to/image.jpg';
    const canvas = document.getElementById('canvas');
    const ctx = canvas.getContext('2d');
    ctx.drawImage(img, 0, 0);
    
  5. Detect Objects: Create a detector and run object detection on the canvas.
    const detector = new Detector(model);
    const results = await detector.detect(canvas);
    
  6. Display Results: Loop through the results and render bounding boxes or labels on the canvas.
    results.forEach(result => {
      const { bbox, label, score } = result;
      // Draw bounding box and display label/score
    });
    

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js currently supports YOLO (v3, v4, v5) and SSD models. Custom models can also be integrated with additional configuration.

Can Transformers.js be used in production environments?
Yes, Transformers.js is optimized for production use, offering real-time object detection with high accuracy. However, performance may vary depending on the model complexity and input size.

Is Transformers.js compatible with mobile browsers?
Yes, Transformers.js is designed to work on modern browsers, including mobile versions of Chrome and Safari. However, performance may be limited by device hardware capabilities.

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