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Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also...

This software reconstructs 3D plant models in multiple views. Point cloud input is segmented, then patches of leaf surface are grown using the level set method. Please see the CPIB website for news of updates and further development.