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imglookalike

v1.1.2

Published

small module to calculate if 2 images look alike using perceptual hash Hamming distance and Levenshtein distance

Downloads

32

Readme

image look alike

Installation

npm install imglookalike

Usage

Note: as of now it has been with .png and .jpg file formats

const imglookalike = require('imglookalike')

imglookalike.compare('path/to/img1.png', 'path/to/img2.jpg')
    .then((result) =>{
        /*210 
        Do something based on that result
        */
    })

// increase precision by changing the number of bits of the hash
imglookalike.compare('path/to/img1.png', path/to/img2.jpg, {nBits : 16})
// select which comparison algorith to run (hamming or levenshtein)
imglookalike.compare('path/to/img1.png', path/to/img2.jpg, {algorithm : "hamming"})

API

compare(pathImg1, pathImg2, options)

compare two images

pathImg1 & 2

Type: string

The path of the images you want to compare.

options

Type: object

nBits

Type: number Default: 8

The numbers of bits you wish the hash would be Note: the result of nBits % 4 must be 0 E.g (16 % 4 = 0, 6 % 4 = 2)

algorithm

Type: string Default: levenshtein

The algorithm to use for the distance calculation either hamming or levenshtein