Visit the GraspNet Website to get the dataset.
You can install using pip.
pip install graspnetAPI
You can also install from source.
git clone https://github.com/graspnet/graspnetAPI.git
cd graspnetAPI
pip install .
Refer to online document for more details.
PDF Document is available, too.
You can also build the doc manually.
cd docs
pip install -r requirements.txt
bash build_doc.sh
LaTeX is required to build the pdf, but html can be built anyway.
The frame of our gripper is defined as
cd examples
# change the path of graspnet root
# How to load labels from graspnet.
python3 exam_loadGrasp.py
# How to convert between 6d and rectangle grasps.
python3 exam_convert.py
# Check the completeness of the data.
python3 exam_check_data.py
# you can also run other examples
Please refer to our document for more examples.
Please cite these papers in your publications if it helps your research:
@inproceedings{fang2020graspnet,
title={GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping},
author={Fang, Hao-Shu and Wang, Chenxi and Gou, Minghao and Lu, Cewu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)},
pages={11444--11453},
year={2020}
}
- Add transformation for Grasp and GraspGroup.
- Add inpainting for depth image.
- Minor fix bug on loadScenePointCloud.