Image Hashing Search Engine. Querying a previously unseen image takes a few seconds of which 1 5 seconds are used for computing the image feature and the rest for comparing with the millions of images using compact hashing representation. Your deep learning python ubuntu virtual machine.
Uniquely quantify the contents of an image using only a single integer. Back in 2017 i wrote a tutorial on image hashing with opencv and. Then we ll discuss the concept of image hashing and perceptual hashing including how they can be used to build an image search engine.
In this tutorial you will learn how to build a scalable image hashing search engine using opencv python and vp trees.
Uniquely quantify the contents of an image using only a single integer. Image hashing is used to detect near identical images such as small changes in rotation resizing etc. Building an image hashing search engine with vp trees and opencv. Building an image hashing search engine with vp trees and opencv pyimagesearch building an image hashing search engine with vp trees and opencv pyimagesearch.