nachifur/MulimgViewer

What it solves

MulimgViewer addresses the inefficiency of comparing and filtering large image datasets. Instead of opening images individually or in separate windows, it allows users to view, compare, and organize multiple images simultaneously in a single interface, which is particularly useful for reviewing AI-generated results or large databases like CelebA.

How it works

The tool loads images from one or more folders 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. It also supports automatic stitching of images and can interface with remotely mounted directories via SFTP or SSHFS.

Who it’s for

It is designed for researchers and developers working with image datasets who need to perform visual quality checks, compare model outputs, or curate image collections for papers and reports.

Highlights

• Parallel Zooming: Magnify specific regions across multiple images simultaneously using customizable boxes.
• Efficient Filtering: Quickly browse thousands of images and save selected ones to a local directory with a single click.
• Paper-Ready Figures: Tools to generate comparison figures with titles and adjusted zoom boxes for academic publications.
• Batch Processing: Ability to perform bulk image resizing using the auto-save feature.
• Remote Access: Support for browsing images on remote servers through mounted directories.