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Detect objects in an image
Transformerjs

Transformerjs

For transformer.js testing

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What is Transformerjs ?

Transformerjs is a JavaScript library designed for detecting objects in images. It leverages AI technology to identify and classify objects within visual content, providing a powerful tool for image analysis. The library is currently in testing and offers a straightforward way to integrate object detection capabilities into web applications.

Features

• Object Detection: Transformerjs can identify objects within images, providing accurate detection results.
• AI-Powered: Utilizes advanced AI models to analyze and understand visual data.
• Cross-Platform Compatibility: Built with JavaScript, it works seamlessly across different platforms and browsers.

How to use Transformerjs ?

  1. Install the Library: Use npm to install Transformerjs by running npm install transformerjs.
  2. Import the Library: Include the library in your JavaScript file using const { Transformer } = require('transformerjs');.
  3. Initialize Transformer: Create an instance of the Transformer class with const transformer = new Transformer();.
  4. Load an Image: Pass the image path or URL to the transformer using transformer.loadImage('path/to/image.jpg');.
  5. Detect Objects: Call the detect method to identify objects with const results = await transformer.detectObjects();.
  6. Process Results: Handle the detection results, which include object labels and confidence scores.

Frequently Asked Questions

What types of objects can Transformerjs detect?
Transformerjs can detect a variety of common objects, including people, cars, animals, and household items, depending on the model used.

Is Transformerjs suitable for production use?
Transformerjs is currently in testing and may not be fully optimized for production environments. It is recommended to test thoroughly before deployment.

Can I use Transformerjs with any image size?
While Transformerjs can process images of various sizes, performance may vary. For optimal results, use images within the recommended dimensions specified in the documentation.

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