Tutorial
The world is evolving and so is the technology serving it. It’s crucial for everyone to keep up with the rapid changes in technology. One of the domains witnessing the
As beginners in OpenCV, it is a daunting task to read beautiful yet complicated projects and codes. But fear not! In this post, we will guide you through a fun
In this post, we will learn how to detect lines and circles in an image, with the help of a technique called Hough transform. What is Hough transform? Hough transform
Facial Landmark Detection using OpenCV and Dlib in C++ Jupyter Notebook, formerly known as IPython Notebook, in my opinion, is one of the best tools for a programmer. You can
Video Stabilization Example of Low-frequency camera motion in video Video stabilization refers to a family of methods used to reduce the effect of camera motion on the final video. The
In this post, we will learn how to squeeze the maximum performance out of OpenCV’s Deep Neural Network (DNN) module using Intel’s OpenVINO toolkitpost, we compared the performance of OpenCV
A few weeks back we published a post about Universal Sentence Encoders. We discussed how to use the encoders and their application in Semantic Similarity Analysis. In this post, we
In this post, we will show how to use Hu Moments for shape matching. You will learn the following What are image moments? How are image moments calculated? What are
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is