You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
One of the most challenging aspects of applying optical character recognition (OCR) isn’t the OCR itself. Instead, it’s the process of pre-processing, denoising, and cleaning up images such that they can be OCR’d. To learn how to denoise your images…
Read More of Using Machine Learning to Denoise Images for Better OCR Accuracy
In this tutorial, you will learn the basics of distributed training with PyTorch. This is the last lesson in a 3-part tutorial on intermediate PyTorch techniques for computer vision and deep learning practitioners: Image Data Loaders in PyTorch (1st lesson)…
Read More of Introduction to Distributed Training in PyTorch
Imagine this: You’ve built a brand new home out in the country, far from major cities. You need a break from all the hustle and bustle, and you want to bring yourself back to nature. The house you’ve built is…
Read More of An interview with David Bonn, computer vision and wildfire detection expert
In this tutorial, you will learn how to perform transfer learning for image classification using the PyTorch deep learning library. This tutorial is part 2 in our 3-part series on intermediate PyTorch techniques for computer vision and deep learning practitioners:…
Read More of PyTorch: Transfer Learning and Image Classification
In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…
Read More of OpenCV Contour Approximation
An essential part of any Deep Learning based system is to structure the data loading pipeline such that it can be seamlessly integrated with your deep learning model. In this tutorial, we will understand the working of data loading functionalities…
Read More of Image Data Loaders in PyTorch
When an image is increased in size (spatially, along the width and height), the conventional methods lead to new pixel information getting created which often degrades the image quality giving a soft and blurry image as output. Thankfully, as with…
Read More of Pixel Shuffle Super Resolution with TensorFlow, Keras, and Deep Learning
In this blog post, I sit down with Raul Garcia-Martin, a PhD candidate in Biometric Recognition at the University Carlos III of Madrid. Raul’s work focuses on identifying individual people by their biometrics. You’re likely already familiar with the most…
Read More of An interview with Raul Garcia-Martin, PhD candidate and computer vision entrepreneur
Given that we can detect the writing system of the text, it raises the question: Is it possible to translate text from one language to another using OCR and Tesseract? To learn how to translate languages using Tesseract and Python,…
Read More of Language Translation and OCR with Tesseract and Python
