Library for fast subsampling of large 3D point clouds
-
Clone the repository
git clone --recursive https://github.com/bornabesic/subsampl.git cd subsampl
-
Build the library
mkdir build && cd build cmake .. make
-
Install the library
This step might require superuser privileges. However, the installation directory can be customized via DESTDIR variable.
make install
pip install git+https://github.com/bornabesic/subsampl.git
Please note that this still requires a C++ compiler to be present on the host system.
The API is currently documented in subsampl.hpp. Usage examples can be found in examples directory.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also
simply open an issue with the tag enhancement
.
Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature-awesome
) - Commit your Changes (
git commit -m 'Add an amazing feature'
) - Push to the Branch (
git push origin feature-awesome
) - Open a Pull Request
Distributed under the GPL-2.0 license. See LICENSE for more information.
Borna Bešić - @bornabesic
Project Link: https://github.com/bornabesic/subsampl