CascadePSP is a segmentation refinement network that takes an image and a coarse segmentation mask as input and produces a refined, high-resolution segmentation output. The model uses a cascade architecture with global and local refinement steps to handle very high-resolution images. It includes training and testing code in PyTorch, and is distributed as a pip-installable package for easy use.