BerkeleyAutomation / gqcnn

Python module for GQ-CNN training and deployment with ROS integration.

Home Page:https://berkeleyautomation.github.io/gqcnn

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Note: Python 2.x support has officially been dropped.

Berkeley AUTOLAB's GQCNN Package

Build Status Release Software License Python 3 Versions

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.

About

Python module for GQ-CNN training and deployment with ROS integration.

https://berkeleyautomation.github.io/gqcnn

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