Metadata-Version: 2.1
Name: lidar-visualizer
Version: 0.0.1
Summary: A LiDAR visualization tool for all your datasets
Author-email: Ignacio Vizzo <ignaciovizzo@gmail.com>
License: MIT License
        
        Copyright (c) 2023 Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Cyrill
        Stachniss.
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: homepage, https://github.com/PRBonn/lidar-visualizer
Keywords: LiDAR,Robotics,Visualization
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: kiss-icp (>=0.2.9)

# LiDAR Visualizer 🚀

A flexible, easy-to-use, LiDAR (or any point cloud) visualizer for Linux, Windows, and macOS.

![out](https://user-images.githubusercontent.com/21349875/234777083-eeb4ec57-cb50-4c69-babd-4cc8e63cff86.png)

If you also need to obtain poses from your dataset, consider checking out [KISS-ICP](https://github.com/PRBonn/kiss-icp).

## Install

```sh
pip install lidar-visualizer
```

Next, follow the instructions on how to run the system by typing:

```sh
lidar_visualizer --help
```

## Citation

If you use this visualizer for any academic work, please cite our original [paper](https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf).

```bibtex
@article{vizzo2023ral,
  author    = {Vizzo, Ignacio and Guadagnino, Tiziano and Mersch, Benedikt and Wiesmann, Louis and Behley, Jens and Stachniss, Cyrill},
  title     = {{KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way}},
  journal   = {IEEE Robotics and Automation Letters (RA-L)},
  pages     = {1029--1036},
  doi       = {10.1109/LRA.2023.3236571},
  volume    = {8},
  number    = {2},
  year      = {2023},
  codeurl   = {https://github.com/PRBonn/kiss-icp},
}
```
