WIP - A classifier for 3D shapes from the ModelNet10 dataset. The project will include data loading, preprocessing, local model training, and evaluation. It's ultimately designed to display a comparison between different deep learning models and transformations using Tensorboard.

A VI-SLAM point cloud dataset, VIP-500, and an accompanying RGB-D point cloud dataset, VIP500-D.