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 […]
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. […]