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Gqcnn

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

Install / Use

/learn @BerkeleyAutomation/Gqcnn
About this skill

Quality Score

0/100

Category

Operations

Supported Platforms

Universal

README

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.

View on GitHub
GitHub Stars340
CategoryOperations
Updated11d ago
Forks152

Languages

Python

Security Score

85/100

Audited on Mar 20, 2026

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