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Python modules for GQ-CNN training and deployment, with ROS integration

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Berkeley AUTOLAB's GQCNN Package

Dexterity Network (Dex-Net)

AUTOLAB, UC Berkeley

Overview

This is a package for training, analysis, and ROS deployment of Grasp Quality Convolutional Neural Networks (GQ-CNNs).

Installation

See the website at https://berkeleyautomation.github.io/gqcnn for installation instructions and API Documentation.

ROS Support

The ROS package is still in development and will be be released by June 30, 2017.

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Python modules for GQ-CNN training and deployment, with ROS integration

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  • Python 96.9%
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