PyDenseCRF provides a Python interface to Philipp Krähenbühl and Vladlen Koltun’s efficient dense (fully connected) CRF implementation. CRFs are a structured prediction model used in computer vision for tasks like semantic segmentation and pixel-wise labeling. The library exposes both unary and pairwise (Gaussian edge) potentials and uses Cython/Eigen for performance.