Using contour detection, we can detect the borders of objects, and localize them easily in an image. It is often the first step for many interesting applications, such as image-foreground extraction, ...
Introduction Super-resolution refers to the process of upscaling or improving the details of the image. Follow this blog to learn the options for Super Resolution in OpenCV. When increasing the ...
This post will go over how to use OpenCV DNN Module with Nvidia GPU on Windows operating system. If you sthave an Ubuntu system, you can check ...
In many of our previous posts, we used OpenCV DNN Module, which allows running pre-trained neural networks. One of the module's main drawback is its limited CPU-only inference use since it was ...
In this article, we explain how to build applications with OpenCV using Visual Studio. We will be using Visual Studio 16 2019. If you write code on Windows, there is a high probability that you work ...
In this blog post, we will be installing OpenCV on Windows for C++ and Python. The C++ installation is done with the help of custom setup exe files. Whereas Python installation is done with ...
All views expressed on this site are my own and do not represent the opinions of OpenCV.org or any entity whatsoever with which I have been, am now, or will be affiliated.
In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
