In this tutorial, you’ll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python. By applying object detection, you’ll not only be able to determine what is in an image, but also where a given object resides! We’ll start with a brief […]
Creating GIFs with OpenCV
In this tutorial, you will learn how to create animated GIFs using OpenCV, Python, and ImageMagick. You’ll then combine all of these techniques to build a meme generator with OpenCV! We all need a good laugh every now and then. And perhaps the best way to find LOLs is from memes. Some of my favorite […]
Multi-object tracking with dlib
In this tutorial, you will learn how to use the dlib library to efficiently track multiple objects in real-time video. So far in this series on object tracking we have learned how to: Track single objects with OpenCV Track multiple objects utilizing OpenCV Perform single object tracking with dlib Track and count people entering a […]
Object tracking with dlib
This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image […]
Deep learning, hydroponics, and medical marijuana
In today’s blog post we will investigate a practical use case of applying deep learning to hydroponics, a type of method used to grow plants without soil using mineral-rich nutrient solutions in a water solvent. Specifically, you will learn how to train a Convolutional Neural Network (CNN) using Keras to automatically classify root health without […]
Keras vs. TensorFlow – Which one is better and which one should I learn?
Should I be using Keras vs. TensorFlow for my project? Is TensorFlow or Keras better? Should I invest my time studying TensorFlow? Or Keras? The above are all examples of questions I hear echoed throughout my inbox, social media, and even in-person conversations with deep learning researchers, practitioners, and engineers. I even receive questions related […]
PyImageConf 2018 Recap
PyImageConf 2018, PyImageSearch’s very own computer vision and deep learning education conference, took place August 26th-28th in San Francisco, CA at the Regency Hyatt. It was an amazing conference and based on attendee feedback, it was HUGE success. Today I want to recap the conference, share some highlights, and perhaps most importantly, discuss aspects of […]
Install OpenCV 4 on your Raspberry Pi
Today I’m going to show you how to compile and install OpenCV 4 on your Raspberry Pi. OpenCV 4 is currently in alpha-release status, but that doesn’t mean you shouldn’t try out some of the new features and optimizations before they put the official stamp on it. Once OpenCV 4 is released I’ll show you […]
OpenCV Face Recognition
In this tutorial, you will learn how to use OpenCV to perform face recognition. To build our face recognition system, we’ll first perform face detection, extract face embeddings from each face using deep learning, train a face recognition model on the embeddings, and then finally recognize faces in both images and video streams with OpenCV. […]
pip install opencv
In this tutorial you will will learn how to pip install OpenCV on Ubuntu, macOS, and the Raspberry Pi. In previous OpenCV install tutorials I have recommended compiling from source; however, in the past year it has become possible to install OpenCV via pip, Python’s very own package manager. While installing from source will give […]