In this tutorial, you will learn about smoothing and blurring with OpenCV. We will cover the following blurring operations Simple blurring (cv2.blur) Weighted Gaussian blurring (cv2.GaussianBlur) Median filtering (cv2.medianBlur) Bilateral blurring (cv2.bilateralFilter) By the end of this tutorial, you’ll be…

In this tutorial, you will learn how to use OpenCV and the Fast Fourier Transform (FFT) to perform blur detection in images and real-time video streams. Today’s tutorial is an extension of my previous blog post on Blur Detection with…

In this tutorial, you will learn how to blur and anonymize faces using OpenCV and Python. Today’s blog post is inspired by an email I received last week from PyImageSearch reader, Li Wei: Hi Adrian, I’m working on a research…

Whether you’re interested in learning how to apply facial recognition to video streams, building a complete deep learning pipeline for image classification, or simply want to tinker with your Raspberry Pi and add image recognition to a hobby project, you’ll…

I’m going to start today’s blog post by asking a series of questions which will then be addressed later in the tutorial: What are image convolutions? What do they do? Why do we use them? How do we apply them?…

Between myself and my father, Jemma, the super-sweet, hyper-active, extra-loving family beagle may be the most photographed dog of all time. Since we got her as a 8-week old puppy, to now, just under three years later, we have accumulated…

Quick question. How does a Pokedex work? Well, you simply point it a Pokemon, the Pokedex examines its physical characteristics, and the Pokemon is identified instantly. In this case, our smartphone camera is our “Pokedex”. We point our smartphone at…