Guest Post: Four Ways To Quickly Display OpenCV Images During Debugging

This is a guest blog post by Adrian Boguszewski, author of OpenCV Image Viewer Plugin. The average programmer makes 70 errors per 1,000 lines of code and spends 75% of their time on debugging (source). In computer vision (CV), this process may involve not only fixing the code but also checking that the visual effect produced by the algorithm has been applied to images correctly. To facilitate the inspection of this visual effect, the relevant image must be displayed using the fastest and easiest method possible. In this article, we’ll show you four quick ways to display an OpenCV image while debugging. Computer vision is a field of artificial intelligence (AI) that empowers computers to interpret and understand visual information from the world, enabling them to perceive, analyze, and make decisions based on images or videos in much the same way that the human eye does. It encompasses tasks like object recognition, image analysis, and scene understanding, and has applications in areas such as autonomous vehicles, healthcare, and augmented reality. OpenCV, which is short for Open Source Computer Vision Library, is an open-source software library that provides a comprehensive set of tools and functions for computer vision and image processing tasks. It enjoys widespread use in applications like image and video analysis, object detection, facial recognition, and robotics, enabling developers to work with visual data efficiently and effectively.