Go Perceptual image hashing package
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Updated
Jan 21, 2024 - Go
Go Perceptual image hashing package
Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files
Perceptual image hashing library used to match similar images
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
Computer Vision project to detect Magic: The Gathering (TM) playing cards
Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)
A simple perceptual hash library in pure Go.
sharp based perceptual hash implementation
Python package undouble is to detect (near-)identical images.
Attempt to use perceptual hash (pHash) to segment a video into "scenes" very quickly (Normally under a minute for hour long HD videos).
Algorithms for similar image search/reverse image search
Calculate PhotoDNA hashes using Python
A perceptual hash is a fingerprint of a multimedia file derived from various features from its content. Unlike cryptographic hash functions which rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the features are similar.
CLI Java wrapper for the PhotoDNA library
One JAVA version of PHash (Perceptual Hash) algorithm (JAVA
A small tool that generates Stash and StashBox compatible PHash and OSHash hashes.
Redis Module for indexing of image fingerprints for fast efficient retrieval.
Image comparison by hash codes
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