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In this video tutorial, we will learn how to create an optical mark recognition algorithm in Python using OpenCV. The code will be written from scratch, explaining each line step by step. The webcam will be used to automatically detect the grades of different entities. The pipeline involves converting the original image to grayscale, finding edges, detecting contours, identifying the biggest rectangles and their corners, obtaining a bird's-eye view, applying thresholds, and locating the marks. Be sure to subscribe, like, and share the video for more content. Let's get started!
