Deep Learning based Edge Detection in OpenCV - CV-Tricks.com

In this post, we will learn how to use deep learning based edge detection in OpenCV which is more accurate than the widely popular canny edge detector. Edge detection is useful in many use-cases such as visual saliency detection, object detection, tracking and motion analysis, structure from motion, 3D reconstruction, autonomous driving, image to text analysis and many more. Edge detection is a very old problem in computer vision which involves detecting the edges in an image to determine object boundary and thus separate the object of interest. One of the most popular technique for edge detection has been Canny Edge detection which has been the go-to method for most of the computer vision researchers and practitioners. Let's have a quick look at Canny Edge Detection.