A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
By running the added python file as script (with corrected paths) the input data to the detect_graspable_regions experiments is extracted from PartNet and ShapeNet.
Open question:
The process requires open3d and scipy as big non-standard libraries. Should we add infos to a README or an extra install option for automatic install of all dependencies?
By running the added python file as script (with corrected paths) the input data to the
detect_graspable_regionsexperiments is extracted from PartNet and ShapeNet.Open question: The process requires open3d and scipy as big non-standard libraries. Should we add infos to a README or an extra install option for automatic install of all dependencies?