Archive | Deep Learning

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 […]

Continue Reading 95

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. […]

Continue Reading 57

An interview with Francois Chollet

In today’s blog post, I interview arguably one of the most important researchers and practitioners in modern day deep learning, Francois Chollet. Francois is not only the creator of the Keras deep learning library, but he’s also a Google AI researcher. He will also be speaking at PyImageConf 2018 in August of this year. Inside this interview Francois discusses: […]

Continue Reading 43

A gentle guide to deep learning object detection

Today’s blog post is inspired by PyImageSearch reader Ezekiel, who emailed me last week and asked: Hey Adrian, I went through your previous blog post on deep learning object detection along with the followup tutorial for real-time deep learning object detection. Thanks for those. I’ve been using your source code in my example projects but […]

Continue Reading 69