In this tutorial, you will learn how to save and load your Keras deep learning models. This blog post was inspired by PyImageSearch reader, Mason, who emailed in last week and asked: Adrian, I’ve been going through your blog and reading your deep learning tutorials. Thanks for them. I have a question though: After training, […]
Deep Learning and Medical Image Analysis with Keras
In this tutorial, you will learn how to apply deep learning to perform medical image analysis. Specifically, you will discover how to use the Keras deep learning library to automatically analyze medical images for malaria testing. Such a deep learning + medical imaging system can help reduce the 400,000+ deaths per year caused by malaria. […]
Instance segmentation with OpenCV
In this tutorial, you will learn how to perform instance segmentation with OpenCV, Python, and Deep Learning. Back in September, I saw Microsoft release a really neat feature to their Office 365 platform — the ability to be on a video conference call, blur the background, and have your colleagues only see you (and not […]
Mask R-CNN with OpenCV
In this tutorial, you will learn how to use Mask R-CNN with OpenCV. Using Mask R-CNN you can automatically segment and construct pixel-wise masks for every object in an image. We’ll be applying Mask R-CNNs to both images and video streams. In last week’s blog post you learned how to use the YOLO object detector to […]
YOLO object detection with OpenCV
In this tutorial, you’ll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python. By applying object detection, you’ll not only be able to determine what is in an image, but also where a given object resides! We’ll start with a brief […]
Creating GIFs with OpenCV
In this tutorial, you will learn how to create animated GIFs using OpenCV, Python, and ImageMagick. You’ll then combine all of these techniques to build a meme generator with OpenCV! We all need a good laugh every now and then. And perhaps the best way to find LOLs is from memes. Some of my favorite […]
Multi-object tracking with dlib
In this tutorial, you will learn how to use the dlib library to efficiently track multiple objects in real-time video. So far in this series on object tracking we have learned how to: Track single objects with OpenCV Track multiple objects utilizing OpenCV Perform single object tracking with dlib Track and count people entering a […]
Object tracking with dlib
This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image […]
Deep learning, hydroponics, and medical marijuana
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 […]