You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Image ProcessingImage processing is the cornerstone in which all of Computer Vision is built. Follow my image processing guides to learn the fundamentals of Computer Vision using the OpenCV library.
A picture is worth a thousand words. — English idiom We’ve heard this adage countless times in our lives. It simply means that a complex idea can be conveyed in a single image. Whether examining the line chart of our…
Read More of Image Classification Basics
In this tutorial you will learn how to detect low contrast images using OpenCV and scikit-image. Whenever I teach the fundamentals of computer vision and image processing to students eager to learn, one of the first things I teach is:…
Read More of Detecting low contrast images with OpenCV, scikit-image, and Python
In this tutorial, you will learn how to use OpenCV and the cv2.imread function to: Load an input image from disk Determine the image’s width, height, and number of channels Display the loaded image to our screen Write the image…
Read More of OpenCV Load Image (cv2.imread)
In this tutorial, you will learn how to perform image segmentation with Mask R-CNN, GrabCut, and OpenCV. A couple months ago, you learned how to use the GrabCut algorithm to segment foreground objects from the background. GrabCut worked fairly well…
Read More of Image Segmentation with Mask R-CNN, GrabCut, and OpenCV
In this tutorial, you will learn how to use OpenCV and GrabCut to perform foreground segmentation and extraction. Prior to deep learning and instance/semantic segmentation networks such as Mask R-CNN, U-Net, etc., GrabCut was the method to accurately segment the…
Read More of OpenCV GrabCut: Foreground Segmentation and Extraction
In this tutorial, you will learn how to use OpenCV and the Fast Fourier Transform (FFT) to perform blur detection in images and real-time video streams. Today’s tutorial is an extension of my previous blog post on Blur Detection with…
Read More of OpenCV Fast Fourier Transform (FFT) for blur detection in images and video streams
In this tutorial, you will learn how to perform image inpainting with OpenCV and Python. Image inpainting is a form of image conservation and image restoration, dating back to the 1700s when Pietro Edwards, director of the Restoration of the…
Read More of Image inpainting with OpenCV and Python
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 build a scalable image hashing search engine using OpenCV, Python, and VP-Trees. Image hashing algorithms are used to: Uniquely quantify the contents of an image using only a single integer. Find duplicate…
Read More of Building an Image Hashing Search Engine with VP-Trees and OpenCV
