OpenCV Tutorials

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 cv2.threshold function to apply basic thresholding and Otsu thresholding. Thresholding is one of the most common (and basic) segmentation techniques in computer vision and it allows us to…

In this tutorial, you will learn my tips, suggestions, and best practices to achieve high face detection accuracy with OpenCV and dlib. We’ve covered face detection four times on the PyImageSearch blog: Face detection with OpenCV and Haar cascades Face…

In this tutorial, you will learn about OpenCV Haar Cascades and how to apply them to real-time video streams. Haar cascades, first introduced by Viola and Jones in their seminal 2001 publication, Rapid Object Detection using a Boosted Cascade of…

In this tutorial, you will learn how to perform face detection with OpenCV and Haar cascades. This guide, along with the next two, were inspired by an email I received from PyImageSearch reader, Angelos: Hi Adrian, I’ve been an avid…

In this tutorial, you will learn how to perform multi-template matching with OpenCV. Last week you discovered how to utilize OpenCV and the cv2.matchTemplate function for basic template matching. The problem with this approach is that it could only detect…

In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…

In this tutorial, you will learn how to perform connected component labeling and analysis with OpenCV. Specifically, we will focus on OpenCV’s most used connected component labeling function, cv2.connectedComponentsWithStats. Connected component labeling (also known as connected component analysis, blob extraction,…

In this tutorial, you will learn how to perform automatic color correction with OpenCV using a color matching/balancing card. Last week we discovered how to perform histogram matching. Using histogram matching, we can take the color distribution of one image…