Code: Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials

This code was used for dimensional metrology of additively manufactured parts scanned using a high resolution document scanner, and for training and testing machine learning models to predict feature dimensions and part quality. Results are published in "Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials," by Davis J. McGregor, Miles V. Bimrose, Chenhui Shao, Sameh Tawfick, and William P. King.