A Perceptual Hashing program for Images
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Updated
Aug 9, 2022 - 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
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.
Creates perceptual hash values from images.
go bindings for libfastimagehash
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.
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)