You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Deep LearningLearn how to successfully apply Deep Learning to Computer Vision projects using Keras, TensorFlow, OpenCV, and more with my free Deep Learning tutorials and guides.
In this tutorial, you will learn how to detect and remove duplicate images from a dataset for deep learning. Over the past few weeks, I’ve been working on a project with Victor Gevers, the esteemed ethical hacker from the GDI.Foundation,…
Read More of Detect and remove duplicate images from a dataset for deep learning
In this tutorial, you will learn how to perform automatic age detection/prediction using OpenCV, Deep Learning, and Python. By the end of this tutorial, you will be able to automatically predict age in static image files and real-time video streams…
Read More of OpenCV Age Detection with Deep Learning
In this tutorial, you will learn how to blur and anonymize faces using OpenCV and Python. Today’s blog post is inspired by an email I received last week from PyImageSearch reader, Li Wei: Hi Adrian, I’m working on a research…
Read More of Blur and anonymize faces with OpenCV and Python
In today’s blog post, I interview Yi Shern, a PyImageSearch reader and Machine Learning Engineer at 123RF.com, a popular stock photo website. If you’re unfamiliar with the term, a “stock photo” is a photo taken by a professional photographer and…
Read More of An interview with Yi Shern, Machine Learning Engineer at 123RF R&D
In this tutorial, you will learn how to use convolutional autoencoders to create a Content-based Image Retrieval system (i.e., image search engine) using Keras and TensorFlow. A few weeks ago, I authored a series of tutorials on autoencoders: Part 1:…
Read More of Autoencoders for Content-based Image Retrieval with Keras and TensorFlow
In today’s tutorial, you will learn how to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning with TensorFlow, Keras, TensorRT, and OpenCV. Two weeks ago, we discussed how to use my pre-configured Nano .img file — today,…
Read More of How to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning
In this tutorial, you will learn how to use TensorFlow’s GradientTape function to create custom training loops to train Keras models. Today’s tutorial was inspired by a question I received by PyImageSearch reader Timothy: Hi Adrian, I just read your…
Read More of Using TensorFlow and GradientTape to train a Keras model
In this tutorial, you will learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning. Like most people in the world right now, I’m genuinely concerned about COVID-19. I find myself constantly…
Read More of Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to visualize class activation maps for debugging deep neural networks using an algorithm called Grad-CAM. We’ll then implement Grad-CAM using Keras and TensorFlow. While deep learning has facilitated unprecedented accuracy in image classification,…
Read More of Grad-CAM: Visualize class activation maps with Keras, TensorFlow, and Deep Learning
IoT