A modular and efficient Python library for photogrammetric bundle adjustment using sparse Levenberg–Marquardt optimization and Schur complement solvers. Supports synthetic and real datasets (e.g., COLMAP outputs). Provides visualization tools for reprojection errors and 3D reconstruction quality assessment. - View it on GitHub