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github.com/BerkeleyAutomation/gqcnn @v1.3.0
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45 files
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README
Note: Python 2.x support has officially been dropped.
Berkeley AUTOLAB's GQCNN Package
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.
Core symbols most depended-on inside this repo
loadcalled by 46
gqcnn/model/tf/network_tf.py
show
called by 42
gqcnn/grasping/policy/policy.py
save
called by 31
gqcnn/grasping/policy/policy.py
_plot_grasp
called by 16
gqcnn/analysis/analyzer.py
run
called by 13
setup.py
read_pose_data
called by 10
gqcnn/utils/utils.py
initialize_network
called by 7
gqcnn/model/tf/network_tf.py
close_session
called by 7
gqcnn/model/tf/network_tf.py
Shape
Languages
Python100%
Modules by API surface
gqcnn/grasping/grasp_quality_function.py71 symbols
gqcnn/grasping/policy/policy.py63 symbols
gqcnn/model/tf/network_tf.py57 symbols
gqcnn/grasping/grasp.py36 symbols
gqcnn/training/tf/trainer_tf.py28 symbols
gqcnn/grasping/policy/fc_policy.py26 symbols
gqcnn/grasping/image_grasp_sampler.py22 symbols
gqcnn/search/trial.py18 symbols
gqcnn/grasping/actions.py15 symbols
gqcnn/search/utils.py12 symbols
setup.py9 symbols
gqcnn/model/tf/fc_network_tf.py9 symbols
For agents
$ claude mcp add gqcnn \
-- python -m otcore.mcp_server <graph>