RobustVideoMatting is a deep learning video matting tool and PyTorch library designed to remove backgrounds from videos and extract human subjects. It utilizes a temporal video segmentation model to ensure consistent matting and reduce flickering across video frames.
The project includes a cross-platform model exporter that converts trained neural networks into various runtime formats. This allows for model deployment across multiple environments, including web and mobile applications.
The framework provides capabilities for temporal video background removal and AI video post-production without the use of green screens. It supports video file conversion and the processing of image sequences to create transparent backgrounds for compositing.
