Archive | Image Search Engine Basics

Multiprocessing with OpenCV and Python

In this tutorial, you will learn how to use multiprocessing with OpenCV and Python to perform feature extraction. You’ll learn how to use multiprocessing with OpenCV to parallelize feature extraction across the system bus, including all processors and cores on your computer. Today’s tutorial is inspired by PyImageSearch reader, Abigail. Abigail writes: Hey Adrian, I […]

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Building an Image Hashing Search Engine with VP-Trees and OpenCV

In this tutorial, you will learn how to build a scalable image hashing search engine using OpenCV, Python, and VP-Trees. Image hashing algorithms are used to: Uniquely quantify the contents of an image using only a single integer. Find duplicate or near-duplicate images in a dataset of images based on their computed hashes. Back in […]

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Adding a web interface to our image search engine with Flask

This is a guest post by Michael Herman from Real Python – learn Python programming and web development through hands-on, interesting examples that are useful and fun! In this tutorial, we’ll take the command line image search engine from the previous tutorial and turn it into a full-blown web application using Python and Flask. More specifically, […]

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The complete guide to building an image search engine with Python and OpenCV

Let’s face it. Trying to search for images based on text and tags sucks. Whether you are tagging and categorizing your personal images, searching for stock photos for your company website, or simply trying to find the right image for your next epic blog post, trying to use text and keywords to describe something that […]

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How-To: 3 Ways to Compare Histograms using OpenCV and Python

So you’ve extracted color histograms from a set of images… But how are you going to compare them for similarity? You’ll need a distance function to handle that. But which one? How you choose? And how do you compare histograms using Python and OpenCV? Don’t worry, I’ve got you covered. In this blog post I’ll […]

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Announcing “Case Studies: Solving real world problems with computer vision”

I have some big news to announce today… Besides writing a ton of blog posts about computer vision, image processing, and image search engines, I’ve been behind the scenes, working on a second book. And you may be thinking, hey, didn’t you just finish up Practical Python and OpenCV? Yep. I did. Now, don’t get […]

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Charizard Explains How To Describe and Quantify an Image Using Feature Vectors

If you haven’t noticed, the term “feature vector” is used quite often in this blog. And while we’ve seen it a lot, I wanted to dedicate an entire post to defining what exactly a feature vector is. What is an Image Feature Vector? Image Feature Vector: An abstraction of an image used to characterize and […]

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I’m Writing a Book: “Practical Python and OpenCV: An Introductory, Example Driven Guide to Image Processing and Computer Vision”

I’ve been throwing around the idea of writing a book for the past few months, but I wasn’t sure on what the exact focus was going to be. I’ve given it a ton of thought, worked out the specifics, and spoke with a lot of developers, programmers, and researchers like yourselves. All of this work […]

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