https://github.com/hiroishida/ompl-thin-python
A thin python-binding of OMPL motion planning library
https://github.com/hiroishida/ompl-thin-python
Last synced: 2 months ago
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A thin python-binding of OMPL motion planning library
- Host: GitHub
- URL: https://github.com/hiroishida/ompl-thin-python
- Owner: HiroIshida
- License: mit
- Created: 2022-12-11T11:18:52.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-02-03T07:39:35.000Z (over 2 years ago)
- Last Synced: 2023-03-03T22:04:13.724Z (about 2 years ago)
- Language: C++
- Homepage:
- Size: 92.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
## ompl-thin [](https://pypi.org/project/ompl-thin/)
is a thin wrapper of [ompl](https://github.com/ompl/ompl). For a thick wrapper, please see ompl's [official python bindings](https://ompl.kavrakilab.org/python.html).
Advantage of this package mainly likes in quickness and simpleness of building, which is achieved by focusing on only *thin-wrapping* the ompl pacakge and utilizing pybind11.
## installation
The package is available on [pypi](https://pypi.org/project/ompl-thin/). So, to install you just need to
```bash
pip3 install ompl-thin
```
NOTE: binary distribution is available only for x86_64. For other architecture, only source distributions are available and takes few minutes to install. Also, before installation, you need to run the following to get shared dependency.
```
sudo apt install libboost-all-dev -y
```