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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) project created and maintained by the AUTOLAB at UC Berkeley.

Installation and Usage

Please see the docs for installation and usage instructions.

Citation

If you use any part of this code in a publication, please cite the appropriate Dex-Net publication.