Imagine being able to separate the foreground from the background in your videos with clear, accurate mattes every time. With AI models like MatAnyone, video matting delivers precise alpha mattes ...
Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal
U2-Net (popularly known as U2-Net) is a simple yet powerful deep-learning-based semantic segmentation model that revolutionizes background removal in image segmentation. Its effective and ...
Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in 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 ...