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If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this
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
In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed
In this post, we will explain what ArUco markers are and how to use them for simple augmented reality tasks using OpenCV. ArUco markers have been used for a while
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
The common saying is, “A picture is worth a thousand words.” In this post, we will take that literally and try to find the words in a picture! In an
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
In this tutorial, we will discuss the various Face Detection methods in OpenCV, Dlib, and Deep Learning and compare the methods quantitatively. We will share code in C++ and Python
A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector is