This simpler approach relies on a popular Computer Vision technique called Contour Detection. A handy technique that can save the day when dealing with vision problems such as the one above. Although not as generalizable as Deep Neural Networks, contour detection can prove robust under controlled circumstances, requiring minimum time investment and effort to build vision applications.
This video is a part of our upcoming Building Vision Applications with Contours and OpenCV course. In this video, I’ve covered all the basics of contours you need to know. You will learn how to detect and visualize contours, the various image pre-processing techniques required before detecting contours, and a lot more.
The course will be released in a couple of weeks on our site and will contain quizzes, assignments, and walkthroughs of high-level Jupyter notebooks which will teach you a variety of concepts.
In this tutorial we will go over Deep learning using OpenCV’s DNN module in detail, I plan to cover various important details of the DNN module that is never discussed, things that usually trip of...