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-- Navigation PyImageSearch Be awesome at OpenCV, Python, deep learning, and computer vision Home Main Menu Get Started Books and Courses FREE CV, DL, and OpenCV Crash Course Practical Python and OpenCV Deep Learning for Computer Vision with Python PyImageSearch Gurus Course Raspberry Pi for Computer Vision Topics Deep Learning Dlib Library Embedded/IoT and Computer Vision Face Applications Image Processing Interviews Keras Machine Learning and Computer Vision Medical Computer Vision Optical Character Recognition (OCR) Object Detection Object Tracking OpenCV Tutorials Raspberry Pi OpenCV Install Guides FAQ About Contact Return to Content OpenCV ‘dnn’ with NVIDIA GPUs: 1549% faster YOLO, SSD, and Mask R-CNN By Adrian Rosebrock on February 10, 2020 in Deep Learning , Object Detection , OpenCV , Semantic Segmentation , Tutorials 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 discovered how to configure and install OpenCV and its “deep neural network” (dnn) module for inference using an NVIDIA GPU. Using […] Continue Reading 8 How to use OpenCV’s “dnn” module with NVIDIA GPUs, CUDA, and cuDNN By Adrian Rosebrock on February 3, 2020 in Deep Learning , OpenCV , Tutorials 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 tutorial on using OpenCV’s “deep neural network” (DNN) module for image classification. PyImageSearch readers loved the convenience and ease-of-use of OpenCV’s dnn […] Continue Reading 31 YOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS By Adrian Rosebrock on January 27, 2020 in Deep Learning , Embedded , Movidius , Object Detection , Raspberry Pi , Tutorials 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 the fastest deep learning-based object detectors, achieving a higher FPS rate than computationally expensive two-stage detectors (ex. Faster R-CNN) […] Continue Reading 22 Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn By Adrian Rosebrock on January 20, 2020 in Anomaly/Outlier Detection , Image Descriptors , Machine Learning , Tutorials In this tutorial, you will learn how to perform anomaly/novelty detection in image datasets using OpenCV, Computer Vision, and the scikit-learn machine learning library. Imagine this — you’re fresh out of college with a degree in Computer Science. You focused your studies specifically on computer vision and machine learning. Your first job out of school […] Continue Reading 12 Optimizing dlib shape predictor accuracy with find_min_global By Adrian Rosebrock on January 13, 2020 in dlib , Facial Landmarks , Shape Predictors , Tutorials In this tutorial you will learn how to use dlib’s find_min_global function to optimize the options and hyperparameters to dlib’s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib to train custom shape predictors: Part one: Training a custom dlib shape predictor Part two: Tuning […] Continue Reading 2 Raspberry Pi and Movidius NCS Face Recognition By Adrian Rosebrock on January 6, 2020 in Embedded , Faces , Movidius , Raspberry Pi In this tutorial you will learn how to use the Movidius NCS to speed up face detection and face recognition on the Raspberry Pi by over 243%! If you’ve ever tried to perform deep learning-based face recognition on a Raspberry Pi, you may have noticed significant lag. Is there a problem with the face detection […] Continue Reading 25 Label smoothing with Keras, TensorFlow, and Deep Learning By Adrian Rosebrock on December 30, 2019 in Deep Learning , Keras , Tutorials 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 that you should constantly be asking yourself: Am I overfitting to my training data? Will my model generalize to data outside my training and […] Continue Reading 8 Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size By Adrian Rosebrock on December 23, 2019 in dlib , Facial Landmarks , Shape Predictors , Tutorials In this tutorial, you will learn how to optimally tune dlib’s shape predictor hyperparameters and options to obtain a shape predictor that balances speed, accuracy, and model size. Today is part two in our two-part series on training custom shape predictors with dlib: Part #1: Training custom dlib shape predictors (last week’s tutorial) Part #2: Tuning […] Continue Reading 4 Training a custom dlib shape predictor By Adrian Rosebrock on December 16, 2019 in dlib , Facial Landmarks , Shape Predictors , Tutorials In this tutorial, you will learn how to train your own custom dlib shape predictor. You’ll then learn how to take your trained dlib shape predictor and use it to predict landmarks on input images and real-time video streams. Today kicks off a brand new two-part series on training custom shape predictors with dlib: Part […] Continue Reading 43 How to install TensorFlow 2.0 on Ubuntu By Adrian Rosebrock on December 9, 2019 in Deep Learning , Keras , Tutorials 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, automatic differentiation, and better multi-GPU/distributed training support, but the most important update is that Keras is now the official high-level deep learning API for TensorFlow. […] Continue Reading 46 1 2 … 36 Next → Resource Guide (it’s totally free). Get your FREE 17 page Computer Vision, OpenCV, and Deep Learning Resource Guide PDF. Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL. Download for Free! Raspberry Pi for Computer Vision You can teach your Raspberry Pi to “see” using Computer Vision , Deep Learning , and OpenCV . Let me show you how. Deep Learning for Computer Vision with Python Book — OUT NOW! You're interested in deep learning and computer vision, but you don't know how to get started. Let me help. My new book will teach you all you need to know about deep learning. You can detect faces in images & video. Are you interested in detecting faces in images & video? But tired of Googling for tutorials that never work? Then let me help! I guarantee that my new book will turn you into a face detection ninja by the end of this weekend. Click here to give it a shot yourself. PyImageSearch Gurus: NOW ENROLLING! The PyImageSearch Gurus course is now enrolling! Inside the course you'll learn how to perform: Automatic License Plate Recognition (ANPR) Deep Learning Face Recognition and much more! Click the button below to learn more about the course, take a tour, and get 10 (FREE) sample lessons . Hello! I’m Adrian Rosebrock. I'm Ph.D and entrepreneur who has spent his entire adult life studying Computer Vision and Deep Learning. I'm here to help you master CV, DL, and OpenCV. Learn More Learn computer vision in a single weekend. Want to learn computer vision & OpenCV? I can teach you in a single weekend . I know. It sounds crazy, but it’s no joke. My new book is your guaranteed, quick-start guide to becoming an OpenCV Ninja. So why not give it a try? Click here to become a computer vision ninja. Subscribe via RSS Never miss a post! Subscribe to the PyImageSearch RSS Feed and keep up to date with my image search engine tutorials, tips, and tricks Popular Raspbian Stretch: Install OpenCV 3 + Python on your Raspberry Pi September 4, 2017 Install guide: Raspberry Pi 3 + Raspbia...