A Perceptual Hashing program for Images
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Updated
May 22, 2024 - Python
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.
A Perceptual Hashing program for Images
Creates perceptual hash values from images.
Provides vvvv and VL nodes to perform perceptual image hashing (work in progress !)
Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 256-bit comparable hash value for any video.
Here will be C++ library for perceptual image hashes.
Clustering for Unsupervised Image Classification, using perceptual hashing and object detection
Generate content-based image hashes on Node.js.
An production-ready Node.JS API library that provides index search capability on different file types.
go bindings for libfastimagehash
Image Perceptual Hash library for the .NET Framework
Android librarry (kotlin) : Image (JPEG, BMP) comparison (perceptual hash algorithm)
A collection of algorithms for comparing the similarity of images using perceptual hashes
Efficiently import pictures while handling duplicates gracefully
Console application for hash, compare images. Based on coenm/ImageHash
Media related utilities, thumbnails, perceptual hashing, etc.
Perceptual image hashing provided by imagemagick.
A PyTorch implementation of a machine learning perceptual image hash algorithm for near-duplicate detection and fast content-based image retrieval.
Perceptual hashing library in python (with redis)