Locality Sensitive Hashing, fuzzy-hash, min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度
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Updated
Dec 25, 2023 - Python
Locality Sensitive Hashing, fuzzy-hash, min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度
Remove duplicate documents/videos/images via popular algorithms such as SimHash, SpotSig, Shingling, etc.
Finding similar images from image URLs using ImageHash
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.
Merge images folders from scanlations and raws mangas, useful when the manga doesn't have an official translation
a Python command-line tool that identifies and groups similar images using average hashing. It supports single-level and recursive directory scanning, adjustable similarity threshold, and presents results in JSON format. Ideal for image deduplication, organization, and content-based retrieval tasks.
Smart Behavioral Video Compression · 96.7% size reduction · OpenCV + Farneback optical flow + Haar face detection · ffmpeg H.264 · Sentio Mind Assignment
Multi Server Authentication service using Bio-Hash.
Python tool for finding and removing duplicate images
A more constrained and friendlier fork of the ImageHash Python image hashing package.
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