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 […]
OpenCV OCR and text recognition with Tesseract
By Adrian Rosebrock on September 17, 2018 in Deep Learning, Optical Character Recognition (OCR), Tutorials
In this tutorial, you will learn how to apply OpenCV OCR (Optical Character Recognition). We will perform both (1) text detection and (2) text recognition using OpenCV, Python, and Tesseract. A few weeks ago I showed you how to perform text detection using OpenCV’s EAST deep learning model. Using this model we were able to […]
Keras Tutorial: How to get started with Keras, Deep Learning, and Python
Inside this Keras tutorial, you will discover how easy it is to get started with deep learning and Python. You will use the Keras deep learning library to train your first neural network on a custom image dataset, and from there, you’ll implement your first Convolutional Neural Network (CNN) as well. The inspiration for this […]
Semantic segmentation with OpenCV and deep learning
In this tutorial, you will learn how to perform semantic segmentation using OpenCV, deep learning, and the ENet architecture. After reading today’s guide, you will be able to apply semantic segmentation to images and video using OpenCV. Deep learning has helped facilitate unprecedented accuracy in computer vision, including image classification, object detection, and now even […]
Neural Style Transfer with OpenCV
In this tutorial, you will learn how to apply neural style transfer to both images and real-time video using OpenCV, Python, and deep learning. By the end of this guide, you’ll be able to generate beautiful works of art with neural style transfer. The original neural style transfer algorithm was introduced by Gatys et al. […]
OpenCV Text Detection (EAST text detector)
By Adrian Rosebrock on August 20, 2018 in Deep Learning, Optical Character Recognition (OCR), Tutorials
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 […]