You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to perform edge detection using OpenCV and the Canny edge detector. Previously, we discussed image gradients and how they are one of the fundamental building blocks of computer vision and image processing. A…
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In this tutorial, you will learn about image gradients and how to compute Sobel gradients and Scharr gradients using OpenCV’s cv2.Sobel function. Image gradients are a fundamental building block of many computer vision and image processing routines. We use gradients…
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In this tutorial, you will learn about applying morphological operations with OpenCV. The morphological operations we’ll be covering include: Erosion Dilation Opening Closing Morphological gradient Black hat Top hat (also called “White hat”) These image processing operations are applied to…
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In this tutorial, you will learn how to use OpenCV and the cv2.threshold function to apply basic thresholding and Otsu thresholding. A dataset for this topic enables us to understand the effect of different thresholding techniques on different types of…
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In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…
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In this tutorial, you will learn how to perform connected component labeling and analysis with OpenCV. Specifically, we will focus on OpenCV’s most used connected component labeling function, cv2.connectedComponentsWithStats. Connected component labeling (also known as connected component analysis, blob extraction,…
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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:…
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In this post, I interview Maria Rosvold and Shriya Nama, two high schoolers studying computer vision and robotics. Together, they are competing in in the 2020 RoboMed competition, part of the annual Robofest competition, a robotics festival designed to promote…
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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…
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