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
Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 256-bit comparable hash value for any video.
Detect duplicate images and view the distinct in a web app
Provides vvvv and VL nodes to perform perceptual image hashing (work in progress !)
Clustering for Unsupervised Image Classification, using perceptual hashing and object detection
A PyTorch implementation of a machine learning perceptual image hash algorithm for near-duplicate detection and fast content-based image retrieval.
Fast JAX implementions of image hashing methods
Console application for hash, compare images. Based on coenm/ImageHash
Python bindings to JImageHash Java library
Perceptual JPEG image hashing for Deno via Blockhash.js
Creates perceptual hash values from images.
go bindings for libfastimagehash
A cli tool to group images together by similarity
Generate content-based image hashes on Node.js.
Android librarry (kotlin) : Image (JPEG, BMP) comparison (perceptual hash algorithm)
perceptual hashing library to check similarity in percentage between two similar images
A library to extract DCT hashes with CUDA
Media related utilities, thumbnails, perceptual hashing, etc.