nachifur/MulimgViewer

What it solves

MulimgViewer addresses the inefficiency of manually comparing, filtering, and organizing large image datasets. Instead of opening images in separate windows or scrolling through folders one by one, it allows users to view, compare, and process multiple images simultaneously in a single interface.

How it works

The tool loads images from one or multiple directories and displays them side-by-side. It provides specialized modes for parallel selection (saving specific images to local storage), parallel zooming (magnifying the same region across multiple images), and paired data browsing for direct comparison.

Who it’s for

It is designed for researchers and developers working with image datasets (such as CelebA) who need to perform visual quality checks, select specific samples, or generate comparison figures for academic papers.

Highlights

• Parallel Zooming: Magnify multiple regions across different images simultaneously.
• Efficient Filtering: Quickly browse through hundreds of thousands of images by displaying them in large batches.
• One-Click Comparison Figures: Generate and save stitched images with titles and zoom boxes for research papers.
• Parallel Selection: Save or move selected images from multiple directories to a local folder in one go.
• Remote Access: Supports browsing images from remotely mounted directories via SFTP or SSHFS.
• Batch Processing: Includes functionality for batch resizing images using the auto-save feature.