Background Estimation
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
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 straightforward approach is crucial for applications
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
