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Adversarial Images Deep Learning Keras and TensorFlow Tutorials by Adrian Rosebrock on October 19, 2020 In this tutorial, you will learn how to break deep learning models using image-based adversarial attacks. We will implement our adversarial attacks using the Keras and TensorFlow deep learning libraries. Imagine it’s twenty years from now. Nearly all cars and trucks on the road have been replace

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch In this tutorial, you will learn how to train an Optical Character Recognition (OCR) model using Keras, TensorFlow, and Deep Learning. This post is the first in a two-part series on OCR with Keras and TensorFlow: Part 1: Training an OCR model with Keras and TensorFlow (today’s post)Part 2: Basic handwriting rec

In this tutorial, you will learn how to build an R-CNN object detector using Keras, TensorFlow, and Deep Learning. Today’s tutorial is the final part in our 4-part series on deep learning and object detection: Part 1: Turning any CNN image classifier into an object detector with Keras, TensorFlow, and OpenCVPart 2: OpenCV Selective Search for Object DetectionPart 3: Region proposal for object dete

Deep Learning Keras and TensorFlow Object Detection Tutorials by Adrian Rosebrock on June 22, 2020 In this tutorial, you will learn how to take any pre-trained deep learning image classifier and turn it into an object detector using Keras, TensorFlow, and OpenCV. Today, we’re starting a four-part series on deep learning and object detection: Part 1: Turning any deep learning image classifier into

Deep Learning Keras and TensorFlow Medical Computer Vision Tutorials by Adrian Rosebrock on March 16, 2020 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 analyzing my personal health and wo

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: Autoencoders with Keras, TensorFlow, and Deep Learning (today’s tutorial)Denoising autoenecoders with Keras and TensorFlow (next week’s tutorial)Anomaly detection with Keras, TensorFlow, and Deep Lea

Today’s blog post is inspired by a number of PyImageSearch readers who have commented on previous deep learning tutorials wanting to understand what exactly OpenCV’s blobFromImage function is doing under the hood. You see, to obtain (correct) predictions from deep neural networks you first need to preprocess your data. In the context of deep learning and image classification, these preprocessing t

Today’s blog post is a continuation of our recent series on Optical Character Recognition (OCR) and computer vision. In a previous blog post, we learned how to install the Tesseract binary and use it for OCR. We then learned how to cleanup images using basic image processing techniques to improve the output of Tesseract OCR. However, as I’ve mentioned multiple times in these previous posts, Tesser

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch Today’s blog post on reading barcodes and QR codes with OpenCV is inspired by a question I received from PyImageSearch reader, Hewitt: Hey Adrian, I really love the PyImageSearch blog. I look forward to your emails each week. Keep doing what you’re doing. I have a question for you: Does OpenCV have any modules

Deep Learning DL4CV by Adrian Rosebrock on January 30, 2019 Inside this tutorial, you will learn how to configure macOS Mojave for deep learning. After you’ve gone through this tutorial, your macOS Mojave system will be ready for (1) deep learning with Keras and TensorFlow, and (2) ready for Deep Learning for Computer Vision with Python. A tutorial on configuring Mojave has been a long time coming

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch In last week’s blog post we got our feet wet by implementing a simple object tracking algorithm called “centroid tracking”. Today, we are going to take the next step and look at eight separate object tracking algorithms built right into OpenCV! A dataset containing videos or sequences of images with annotated o

Deep Learning Optical Character Recognition (OCR) Tutorials by Adrian Rosebrock on September 17, 2018 In this tutorial, you will learn how to apply OpenCV OCR (Optical Character Recognition). We will perform both (1) text detection and (2) text recognition using OpenCV, Python, and Tesseract. A few weeks ago I showed you how to perform text detection using OpenCV’s EAST deep learning model. Using

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. It is capable of (1) running at near real-time at 13 FPS on 720p images and (2) obtains

In this tutorial you will learn how to build a “people counter” with OpenCV and Python. Using OpenCV, we’ll count the number of people who are heading “in” or “out” of a department store in real-time. Building a person counter with OpenCV has been one of the most-requested topics here on the PyImageSearch and I’ve been meaning to do a blog post on people counting for a year now — I’m incredibly th

Deep Learning dlib Face Applications Tutorials by Adrian Rosebrock on June 18, 2018 Last updated on December 30th, 2022 with content updates. In today’s blog post you are going to learn how to perform face recognition in both images and video streams using: OpenCVPythonDeep learning As we’ll see, the deep learning-based facial embeddings we’ll be using here today are both (1) highly accurate and (

Back in September 2017, Davis King released v19.7 of dlib — and inside the release notes you’ll find a short, inconspicuous bullet point on dlib’s new 5-point facial landmark detector: Added a 5 point face landmarking model that is over 10x smaller than the 68 point model, runs faster, and works with both HOG and CNN generated face detections. My goal here today is to introduce you to the new dlib

Deep Learning Keras and TensorFlow Tutorials by Adrian Rosebrock on October 30, 2017 Keras is undoubtedly my favorite deep learning + Python framework, especially for image classification. Using Keras to train deep neural networks with multiple GPUs (Photo credit: Nor-Tech.com). I use Keras in production applications, in my personal deep learning projects, and here on the PyImageSearch blog. I’ve

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch Today’s tutorial is inspired by a post I saw a few weeks back on /r/computervision asking how to recognize digits in an image containing a thermostat identical to the one at the top of this post. As Reddit users were quick to point out, utilizing computer vision to recognize digits on a thermostat tends to over

APIs Deep Learning Keras and TensorFlow by Adrian Rosebrock on February 5, 2018 Shipping deep learning models to production is a non-trivial task. If you don’t believe me, take a second and look at the “tech giants” such as Amazon, Google, Microsoft, etc. — nearly all of them provide some method to ship your machine learning/deep learning models to production in the cloud. Going with a model deplo

In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner. Our Keras + deep learning REST API will be capable of batch processing images, scaling to multiple machines (including multiple web servers and Redis instances), and round-robin scheduling when placed behind a load balancer. To accomplish this we will be using: Keras Redi

Today’s blog post is the most fun I’ve EVER had writing a PyImageSearch tutorial. It has everything we have been discussing the past few weeks, including: Deep learning Raspberry Pis 3D Christmas trees References to HBO’s Silicon Valley “Not Hotdog” detector Me dressing up as Santa Clause! In keeping with the Christmas and Holiday season, I’ll be demonstrating how to take a deep learning model (tr

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch Measuring the size of an object (or objects) in an image has been a heavily requested tutorial on the PyImageSearch blog for some time now — and it feels great to get this post online and share it with you. Accurate size measurement requires exposure to objects of various sizes and perspectives. A curated datas

PyImageSearch You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch In last week’s blog post we learned how to install the Tesseract binary for Optical Character Recognition (OCR). We then applied the Tesseract program to test and evaluate the performance of the OCR engine on a very small set of example images. A dataset is instrumental for Optical Character Recognition (OCR) t

In a previous PyImageSearch blog post, I detailed how to compare two images with Python using the Structural Similarity Index (SSIM). Using this method, we were able to easily determine if two images were identical or had differences due to slight image manipulations, compression artifacts, or purposeful tampering. Today we are going to extend the SSIM approach so that we can visualize the differe