Detecting Natural Disasters with Keras and Deep Learning
In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep...
View ArticleFire and smoke detection with Keras and Deep Learning
In this tutorial, you will learn how to detect fire and smoke using Computer Vision, OpenCV, and the Keras Deep Learning library. Today’s tutorial is inspired by an email I received last week from...
View ArticleHuman Activity Recognition with OpenCV and Deep Learning
In this tutorial you will learn how to perform Human Activity Recognition with OpenCV and Deep Learning. Our human activity recognition model can recognize over 400 activities with 78.4-94.5% accuracy...
View ArticleOpenCV Vehicle Detection, Tracking, and Speed Estimation
In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle. This...
View ArticleHow to install TensorFlow 2.0 on macOS
In this tutorial, you will learn to install TensorFlow 2.0 on your macOS system running either Catalina or Mojave There are a number of important updates in TensorFlow 2.0, including eager execution,...
View ArticleHow to install TensorFlow 2.0 on Ubuntu
In this tutorial, you will learn to install TensorFlow 2.0 on your Ubuntu system either with or without a GPU. There are a number of important updates in TensorFlow 2.0, including eager execution,...
View ArticleLabel smoothing with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn two ways to implement label smoothing using Keras, TensorFlow, and Deep Learning. When training your own custom deep neural networks there are two critical questions...
View ArticleRaspberry Pi and Movidius NCS Face Recognition
In this tutorial you will learn how to use the Movidius NCS to speedup face detection and face recognition on the Raspberry Pi by over 243%! If you’ve ever tried to perform deep learning-based face...
View ArticleYOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS
In this tutorial, you will learn how to utilize YOLO and Tiny-YOLO for near real-time object detection on the Raspberry Pi with a Movidius NCS. The YOLO object detector is often cited as being one of...
View ArticleHow to use OpenCV’s “dnn” module with NVIDIA GPUs, CUDA, and cuDNN
In this tutorial, you will learn how to use OpenCV’s “Deep Neural Network” (DNN) module with NVIDIA GPUs, CUDA, and cuDNN for 211-1549% faster inference. Back in August 2017, I published my first...
View ArticleOpenCV ‘dnn’ with NVIDIA GPUs: 1549% faster YOLO, SSD, and Mask R-CNN
In this tutorial, you’ll learn how to use OpenCV’s “dnn” module with an NVIDIA GPU for up to 1,549% faster object detection (YOLO and SSD) and instance segmentation (Mask R-CNN). Last week, we...
View ArticleAutoencoders with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to implement and train autoencoders using Keras, TensorFlow, and Deep Learning. Today’s tutorial kicks off a three-part series on the applications of autoencoders:...
View ArticleDenoising autoencoders with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to use autoencoders to denoise images using Keras, TensorFlow, and Deep Learning. Today’s tutorial is part two in our three-part series on the applications of...
View ArticleAnomaly detection with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow. Back in January, I showed you how to use standard machine learning models to...
View ArticleNVIDIA Jetson Nano .img pre-configured for Deep Learning and Computer Vision
In this tutorial you will learn how to use my pre-configured NVIDIA Jetson Nano .img for Computer Vision and Deep Learning. This .img includes TensorFlow, Keras, TensorRT, OpenCV, etc. pre-installed!...
View ArticleGrad-CAM: Visualize class activation maps with Keras, TensorFlow, and Deep...
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....
View ArticleDetecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
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...
View ArticleI want to help you the best I can during COVID-19
Many PyImageSearch readers (myself included) are quarantined or displaced from their work, school, or research lab due to COVID-19. I understand this is a terrible time for everyone and I want to help...
View ArticleUsing TensorFlow and GradientTape to train a Keras model
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...
View ArticleHow to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning
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...
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