gqcnn-1.3.0.zip

## Note: Python 2.x support has officially been dropped. # Berkeley AUTOLAB's GQCNN Package <p> <a href="https://travis-ci.org/BerkeleyAutomation/gqcnn/"> <img alt="Build Status" src="https://travis-ci.org/BerkeleyAutomation/gqcnn.svg?branch=master"> </a> <a href="https://github.com/BerkeleyAutomation/gqcnn/releases/latest"> <img alt="Release" src="https://img.shields.io/github/release/BerkeleyAutomation/gqcnn.svg?style=flat"> </a> <a href="https://github.com/BerkeleyAutomation/gqcnn/blob/master/LICENSE"> <img alt="Software License" src="https://img.shields.io/badge/license-REGENTS-brightgreen.svg"> </a> <a> <img alt="Python 3 Versions" src="https://img.shields.io/badge/python-3.5%20%7C%203.6%20%7C%203.7-yellow.svg"> </a> </p> ## Package Overview The gqcnn Python package is for training and analysis of Grasp Quality Convolutional Neural Networks (GQ-CNNs). It is part of the ongoing [Dexterity-Network (Dex-Net)](https://berkeleyautomation.github.io/dex-net/) project created and maintained by the [AUTOLAB](https://autolab.berkeley.edu) at UC Berkeley. ## Installation and Usage Please see the [docs](https://berkeleyautomation.github.io/gqcnn/) for installation and usage instructions. ## Citation If you use any part of this code in a publication, please cite [the appropriate Dex-Net publication](https://berkeleyautomation.github.io/gqcnn/index.html#academic-use).