MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

A script in python to organize your images by similarity.

CLI utility to find near duplicate images and remove all but the best copy.

Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)

Image comparison for Robot Framework

Pytorch implementation of Visual DNA, an approach to represent and compare images.

A comparison tool to aid image/video enhancement research

Improved free before/after slider albums.

Perceptual hashing algorithm (dhash) to find similar images

REST API automation framework with snap mode, includes comparing image files

Detect and visualize differences between two images with OpenCV Python

Detailist is a simple tool that allows to take screenshots, compare screenshots using heatmap of differences and extract screenshots text (OCR).

Pytorch image difference finder

The Image Comparison Tool is a simple application that enables you to compare two images side by side. This tool allows you to scroll through images in both horizontal and vertical directions and zoom in to closely examine the details of each image.

This project provides a tool to compare two images using various similarity metrics, including histograms, structural similarity index (SSIM), mean squared error (MSE), mean absolute error (MAE), feature matching, and image hashing.

Python code to compute the difference between two images

Image Crop Comparator (ICC): A research-oriented, interactive image crop comparator for pixel-level method analysis, designed for a fast and flexible interactive workflow with multi-ROI selection, multi-image preview, automatic layout arrangement, and rich customization options.

PyPi Module for REST API automation in snap mode. Includes Image validating module.

This project is designed to compare a set of generated images with a set of original images.

Perceptual Diff pdiff is an fast image comparison utility that makes use of a computational model of the human visual system to compare images.