SiamMask provides a unified approach for fast online object tracking and segmentation using deep learning. The framework uses a Siamese network architecture with a mask branch for segmentation, enabling simultaneous tracking and segmentation in video. It includes both training and inference code implemented in PyTorch, with models designed for real-time performance on visual tracking benchmarks.