Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

robuststl



robuststl

Polyscope is a C++/Python viewer and user interface for 3D data such as meshes and point clouds. It allows you to register your data and quickly generate informative and beautiful visualizations, either programmatically or via a dynamic GUI. Polyscope is designed to be lightweight---it does not "take ownership" over your entire program, and it is easy to integrate with existing codebases and popular libraries. The lofty objective of Polyscope is to offer a useful visual interface to your data via a single line of code.

Polyscope uses a paradigm of structures and quantities. A structure is a geometric object in the scene, such as a surface mesh or point cloud. A quantity is data associated with a structure, such as a scalar function or a vector field.

When any of these structures and quantities are registered, Polyscope displays them in an interactive 3D scene, handling boilerplate concerns such as toggling visibility, color-mapping data and adjusting maps, "picking" to click in the scene and query numerical quantities, etc.

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.