![]() You see, last Friday afternoon I quickly Photoshopped an example bubble test paper, printed out a few copies, and then set to work on coding up the actual implementation. Using the knowledge gained from these previous posts, we’ll be able to make quick work of this bubble sheet scanner and test grader. In fact, what makes this project so special is that we are going to combine the techniques from many previous blog posts, including building a document scanner, contour sorting, and perspective transforms. One of my favorite parts of running the PyImageSearch blog is demonstrating how to build actual solutions to problems using computer vision. Over the past few months I’ve gotten quite the number of requests landing in my inbox to build a bubble sheet/Scantron-like test reader using computer vision and image processing techniques.Īnd while I’ve been having a lot of fun doing this series on machine learning and deep learning, I’d be lying if I said this little mini-project wasn’t a short, welcome break. ![]() Click here to download the source code to this post ![]()
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