In this tutorial, you will learn the three primary reasons your validation loss may be lower than your training loss when training your own custom deep neural networks. I first became interested in studying machine learning and neural networks in late high school. Back then there weren’t many accessible machine learning libraries — and there […]
Is Rectified Adam actually *better* than Adam?
Is the Rectified Adam (RAdam) optimizer actually better than the standard Adam optimizer? According to my 24 experiments, the answer is no, typically not (but there are cases where you do want to use it instead of Adam). In Liu et al.’s 2018 paper, On the Variance of the Adaptive Learning Rate and Beyond, the […]
Rectified Adam (RAdam) optimizer with Keras
In this tutorial, you will learn how to use Keras and the Rectified Adam optimizer as a drop-in replacement for the standard Adam optimizer, potentially leading to a higher accuracy model (and in fewer epochs). Today we’re kicking off a two-part series on the Rectified Adam optimizer: Rectified Adam (RAdam) optimizer with Keras (today’s post) […]
Keras: Starting, stopping, and resuming training
In this tutorial, you will learn how to use Keras to train a neural network, stop training, update your learning rate, and then resume training from where you left off using the new learning rate. Using this method you can increase your accuracy while decreasing model loss. Today’s tutorial is inspired by a question I […]
Install OpenCV 4 on Raspberry Pi 4 and Raspbian Buster
In this tutorial you will learn how to install OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster. You will learn how to install OpenCV 4 on Raspbian Buster via both: A simple pip-install method (which can be completed in a matter of minutes) Compiling from source (which will take longer but will give you […]
Multiprocessing with OpenCV and Python
By Adrian Rosebrock on September 9, 2019 in Image Descriptors, Image Search Engine Basics, Tutorials
In this tutorial, you will learn how to use multiprocessing with OpenCV and Python to perform feature extraction. You’ll learn how to use multiprocessing with OpenCV to parallelize feature extraction across the system bus, including all processors and cores on your computer. Today’s tutorial is inspired by PyImageSearch reader, Abigail. Abigail writes: Hey Adrian, I […]
OpenCV – Stream video to web browser/HTML page
In this tutorial you will learn how to use OpenCV to stream video from a webcam to a web browser/HTML page using Flask and Python. Ever have your car stolen? Mine was stolen over the weekend. And let me tell you, I’m pissed. I can’t share too many details as it’s an active criminal investigation, but […]
Building an Image Hashing Search Engine with VP-Trees and OpenCV
In this tutorial, you will learn how to build a scalable image hashing search engine using OpenCV, Python, and VP-Trees. Image hashing algorithms are used to: Uniquely quantify the contents of an image using only a single integer. Find duplicate or near-duplicate images in a dataset of images based on their computed hashes. Back in […]
Simple Scene Boundary/Shot Transition Detection with OpenCV
In this tutorial, you will learn how to implement a simple scene boundary/shot transition detector with OpenCV. Two weeks ago I flew out to San Diego, CA for a vacation with my Dad. We were on the first flight out of Philadelphia and landed in San Diego at 10:30 AM, but unfortunately, our hotel rooms […]
An interview with Kapil Varshney, Data Scientist at Esri R&D
In today’s blog post, I interview Kapil Varshney, a PyImageSearch reader who was recently hired at Esri Research and Development as a Data Scientist focusing on Computer Vision and Deep Learning. Kapil’s story is really important as it shows that, no matter what your background is, you can be successful in computer vision and deep learning — you just […]