In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. It is capable of (1) running at near real-time at 13 FPS on 720p images and […]
Install OpenCV 4 on macOS
This tutorial provides step-by-step instructions to install OpenCV 4 (with Python bindings) on your macOS machine. While OpenCV 4 has not been officially released yet, a release is expected in autumn 2018. In the meantime, you can compile and install OpenCV 4 from source on your macOS system using the pre-release on GitHub. Once OpenCV 4 […]
How to install OpenCV 4 on Ubuntu
In this tutorial you will learn how to install OpenCV 4 on your Ubuntu system. OpenCV 4 has not been officially released yet; however, a release is expected in autumn 2018. In the meantime, we can compile and install OpenCV 4 from source using the pre-release on GitHub. Once OpenCV 4 is officially released I […]
OpenCV People Counter
In this tutorial you will learn how to build a “people counter” with OpenCV and Python. Using OpenCV, we’ll count the number of people who are heading “in” or “out” of a department store in real-time. Building a person counter with OpenCV has been one of the most-requested topics here on the PyImageSearch and I’ve […]
Tracking multiple objects with OpenCV
Inside today’s tutorial, you will learn how to track multiple objects using OpenCV and Python. This post was inspired by a question I received from PyImageSearch reader, Ariel. Ariel writes: Hi Adrian, thanks for last week’s blog post on object tracking. I have a situation where I need to track multiple objects but the code last week […]
OpenCV Object Tracking
In last week’s blog post we got our feet wet by implementing a simple object tracking algorithm called “centroid tracking”. Today, we are going to take the next step and look at eight separate object tracking algorithms built right into OpenCV! You see, while our centroid tracker worked well, it required us to run an […]
Simple object tracking with OpenCV
Today’s tutorial kicks off a new series of blog posts on object tracking, arguably one of the most requested topics here on PyImageSearch. Object tracking is the process of: Taking an initial set of object detections (such as an input set of bounding box coordinates) Creating a unique ID for each of the initial detections […]
OpenCV Tutorial: A Guide to Learn OpenCV
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 need to learn OpenCV somewhere along the way. The truth is that learning OpenCV used […]
OpenCV Saliency Detection
Today’s tutorial is on saliency detection, the process of applying image processing and computer vision algorithms to automatically locate the most “salient” regions of an image. In essence, saliency is what “stands out” in a photo or scene, enabling your eye-brain connection to quickly (and essentially unconsciously) focus on the most important regions. For example — […]
An interview with Adam Geitgey, creator of the face_recognition Python library
You may have noticed that over the past couple of weeks we have been using a special Python package called face_recognition quite a bit on the PyImageSearch blog: We first used it to build a face recognition system We then applied face recognition to the Raspberry Pi And most recently we clustered faces to find […]