This repository implements a vision-based method for video sky replacement and harmonization. The system uses deep learning to perform sky matting, motion estimation, and image blending, enabling automatic and realistic sky background generation in videos without requiring special hardware or user input. The implementation provides the complete training and testing pipeline based on PyTorch, including pre-trained models for inference.