You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
A few weeks ago I demonstrated how to perform real-time object detection using deep learning and OpenCV on a standard laptop/desktop. After the post was published I received a number of emails from PyImageSearch readers who were curious if the…
Read More of Raspberry Pi: Deep learning object detection with OpenCV
This tutorial is meant for advanced Raspberry Pi users who are looking to milk every last bit of performance out of their Pi for computer vision and image processing using OpenCV. I’ll be assuming: You have worked through my previous…
Read More of Optimizing OpenCV on the Raspberry Pi
I’ve received a number of emails from PyImageSearch readers who are interested in performing deep learning in their Raspberry Pi. Most of the questions go something like this: Hey Adrian, thanks for all the tutorials on deep learning. You’ve really…
Read More of Deep learning on the Raspberry Pi with OpenCV
In today’s tutorial, I’ll demonstrate how you can configure your macOS system for deep learning using Python, TensorFlow, and Keras. This tutorial is the final part of a series on configuring your development environment for deep learning. I created these…
Read More of macOS for deep learning with Python, TensorFlow, and Keras
Welcome back! This is the fourth post in the deep learning development environment configuration series which accompany my new book, Deep Learning for Computer Vision with Python. Today, we will configure Ubuntu + NVIDIA GPU + CUDA with everything you…
Read More of Setting up Ubuntu 16.04 + CUDA + GPU for deep learning with Python
When it comes to learning new technology such as deep learning, configuring your development environment tends to be half the battle. Different operating systems, hardware, dependencies, and the actual libraries themselves can lead to many headaches before you’re even able…
Read More of Configuring Ubuntu for deep learning with Python
This blog post is intended for readers who have purchased a copy of my new book, Deep Learning for Computer Vision with Python. Inside this tutorial you’ll learn how to: Download the books, code, datasets, and any extras associated with your…
Read More of Getting started with Deep Learning for Computer Vision with Python
When it comes to working with deep learning + Python I highly recommend that you use a Linux environment. Deep learning tools can be more easily configured and installed on Linux, allowing you to develop and run neural networks quickly.…
Read More of Your deep learning + Python Ubuntu virtual machine
The Ubuntu VirtualBox virtual machine that comes with my book, Deep Learning for Computer Vision with Python, includes all the necessary deep learning and computer vision libraries you need (such as Keras, TensorFlow, scikit-learn, scikit-image, OpenCV, etc.) pre-installed. However, while…
Read More of Pre-configured Amazon AWS deep learning AMI with Python
