SwinIR

What is SwinIR ?

SwinIR is a cutting-edge AI tool designed for image upscaling, leveraging advanced deep learning techniques to enhance image quality by increasing resolution. It utilizes the Swin Transformer architecture to achieve superior results in image restoration tasks.

Features

• Swin Transformer Architecture: Employs the powerful Swin Transformer model for efficient and high-quality image processing.
• Lightweight and Efficient: Designed to be computationally efficient while maintaining high performance.
• Multi-Resolution Support: Capable of upscaling images by various factors (2x, 3x, 4x, etc.).
• High-Quality Output: Produces sharp and detailed images with minimal artifacts.
• User-Friendly Integration: Easy to integrate into existing workflows and applications.

How to use SwinIR ?

1. Install the Package: Use pip to install the SwinIR package: pip install SwinIR.
2. Import the Library: Import the necessary modules in your Python script.
3. Load the Image: Load the image you want to upscale using a library like OpenCV or PIL.
4. Execute Upscaling: Call the SwinIR upscaling function with your desired scale factor.
5. Display the Result: Save or display the enhanced image using your preferred method.

Frequently Asked Questions

What scale factors does SwinIR support?
SwinIR supports multiple scale factors, including 2x, 3x, and 4x upscaling, making it versatile for different applications.

What formats does SwinIR support for input images?
SwinIR supports common image formats such as JPEG, PNG, and BMP. It also works with numpy arrays for direct processing.

How do I obtain the SwinIR model?
You can easily install SwinIR using pip. The model weights are automatically downloaded when you use the package for the first time.