In this tutorial, you will learn how to build a Raspberry Pi security camera using OpenCV and computer vision. The Pi security camera will be IoT capable, making it possible for our Raspberry Pi to to send TXT/MMS message notifications, images, and video clips when the security camera is triggered. Back in my undergrad years, […]
I’m writing a book on Computer Vision and the Raspberry Pi (and I need your input).
Today is a big day — I’m formally announcing that I’m writing a brand new book on Computer Vision with the Raspberry Pi. I’ve been wanting to write this book for years, arguably ever since I started playing around with the Raspberry Pi and OpenCV. But the timing never worked out quite right. I was […]
Liveness Detection with OpenCV
In this tutorial, you will learn how to perform liveness detection with OpenCV. You will create a liveness detector capable of spotting fake faces and performing anti-face spoofing in face recognition systems. Over the past year, I have authored a number of face recognition tutorials, including: OpenCV Face Recognition Face recognition with dlib, Python, and […]
Holistically-Nested Edge Detection with OpenCV and Deep Learning
In this tutorial, you will learn how to apply Holistically-Nested Edge Detection (HED) with OpenCV and Deep Learning. We’ll apply Holistically-Nested Edge Detection to both images and video streams, followed by comparing the results to OpenCV’s standard Canny edge detector. Edge detection enables us to find the boundaries of objects in images and was one of the […]
Black and white image colorization with OpenCV and Deep Learning
In this tutorial, you will learn how to colorize black and white images using OpenCV, Deep Learning, and Python. Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image that represents the semantic colors and tones of the input (for example, an ocean on […]
Breast cancer classification with Keras and Deep Learning
In this tutorial, you will learn how to train a Keras deep learning model to predict breast cancer in breast histology images. Back 2012-2013 I was working for the National Institutes of Health (NIH) and the National Cancer Institute (NCI) to develop a suite of image processing and machine learning algorithms to automatically analyze breast […]
Fashion MNIST with Keras and Deep Learning
In this tutorial you will learn how to train a simple Convolutional Neural Network (CNN) with Keras on the Fashion MNIST dataset, enabling you to classify fashion images and categories. The Fashion MNIST dataset is meant to be a (slightly more challenging) drop-in replacement for the (less challenging) MNIST dataset. Similar to the MNIST digit […]
Keras: Multiple Inputs and Mixed Data
In this tutorial, you will learn how to use Keras for multi-input and mixed data. You will learn how to define a Keras architecture capable of accepting multiple inputs, including numerical, categorical, and image data. We’ll then train a single end-to-end network on this mixed data. Today is the final installment in our three part […]
macOS Mojave: Install TensorFlow and Keras for Deep Learning
Inside this tutorial, you will learn how to configure macOS Mojave for deep learning. After you’ve gone through this tutorial, your macOS Mojave system will be ready for (1) deep learning with Keras and TensorFlow, and (2) ready for Deep Learning for Computer Vision with Python. A tutorial on configuring Mojave has been a long time […]
Ubuntu 18.04: Install TensorFlow and Keras for Deep Learning
Inside this tutorial you will learn how to configure your Ubuntu 18.04 machine for deep learning with TensorFlow and Keras. Configuring a deep learning rig is half the battle when getting started with computer vision and deep learning. I take pride in providing high-quality tutorials that can help you get your environment prepared to get […]