An attempt to use CNN for solving the art gallery problem in Computational Geometry
We use CGAL for Computational geometry calculations and OpenGL for graphics.
The dataset can be generated using the general algorithm for vertex guards of the art gallery problem using triangulation and K-coloring.
Once dataset is ready, we train the CNN and can be further used to find the required guards to cover any new polygon.
