dex-net | Net 2.0 HDF5 database

dex-net is a Python library. dex-net has no bugs, it has no vulnerabilities, it has build file available and it has low support. However dex-net has a Non-SPDX License. You can download it from GitHub.

The dex-net Python package is for opening, reading, and writing HDF5 databases of 3D object models, parallel-jaw grasps, and grasp robustness metrics. The HDF5 databases can also be used to generate massive datasets associating tuples of point clouds and grasps with binary grasp robustness labels to train Grasp Quality Convolutional Neural Networks (GQ-CNNs) to predict robustness of candidate grasps from point clouds. If you are interested in this functionality, please email Jeff Mahler (jmahler@berkeley.edu) with the subject line: "Interested in GQ-CNN Dataset Generation.". This package is part of the Dexterity Network (Dex-Net) project. Created and maintained by the AUTOLAB at UC Berkeley.