Trust & Safety tools for working together to fight digital harms.
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Updated
May 8, 2024 - C++
Perceptual hashing is the use of an algorithm that attempts to fingerprint multimedia for identification and comparison. Perceptual hashes of two similar multimedia should be similar.
Trust & Safety tools for working together to fight digital harms.
vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms
An production-ready Node.JS API library that provides index search capability on different file types.
Multi module project focused on near-duplicate search for images.
Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 256-bit comparable hash value for any video.
A simple perceptual hash library in pure Go.
Media related utilities, thumbnails, perceptual hashing, etc.
CLI Java wrapper for the PhotoDNA library
Calculate PhotoDNA hashes using Python
A node command line tool which can be used to find duplicate images in a directory even if the images differ in resolution, contrast, brightness or color.
Python bindings to JImageHash Java library
Dart package for comparing images. Find the difference between two images by using a variety of image comparison techniques.
A library to extract DCT hashes with CUDA
sharp based perceptual hash implementation
C/C++ replacement for the 'imagehash' python package
Generate content-based image hashes on Node.js.
Javascript userscript for capturing screen share from Zoom meeting connected through web browser.
pHash - the open source perceptual hash library
Let's find out duplicate images with Perceptual Hashing algorithms