OpenCV
This blog post will aim to build a simple video to slides converter application to obtain slide images given slide or lecture videos using basic frame differencing and background subtraction
In this blog post, we explore the question of whether facial recognition technology can work on AI-generated faces as well as it does on real ones. We test OpenCV Face
PyOpenAnnotate is an automated annotation tool built using OpenCV. It is a simple tool that is designed to help users label and annotate images and videos using computer vision techniques.
Building an automated image annotation tool using basic OpenCV algorithms. Colorspace, thresholding, and contour analysis. Annotate single class objects easily.
Center Stage uses wide angle camera and custom object detection to track the person in the frame and make necessary adjustments with change in distance from the camera. In this
In this post, we will use MediaPipe to track hand gestures and convert them to appropriate actions like zooming in, blurring the background, and switching the camera on or off.
This post focuses on contour detection in images using the OpenCV computer vision library along with hands-on coding using Python and C++.
Introduction Taking good pictures in poor lighting conditions can seem like magic to non-photographers. It takes a combination of skill, experience and the right equipment to accomplish low light photography.
Use NVIDIA GPUs to speedup OpenCV DNN module with CUDA support and cuDNN backend on Windows.
Learn to speedup OpenCV DNN module using NVIDIA GPUs with CUDA support.
We will learn how to configure Visual Studio projects and build OpenCV applications.
Install OpenCV on Windows with our unique EXE-based installer for C++. The Python installation is done with Anaconda.
