The source code repository contains the complete Python implementation of the laser cross detection algorithm, including example datasets. The repository includes synthetic image generation tools, evaluation scripts, and reference implementations of RANSAC and Probabilistic-Hough-Transform methods for comparison. Example datasets feature both synthetic and real-world calibration images, with documentation detailing their usage. All code is thoroughly commented and includes usage examples. The implementation requires common Python libraries (numpy, scipy, lmfit) and provides a straightforward API for integration into existing calibration workflows.