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examples/python/drone_lidar/README.md

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Background

This example displays drone-based indoor LiDAR data loaded from a .las file. This dataset contains 18.7M points, acquired at 4013 distinct time points (~4650 points per time point). The point data is loaded using the laspy Python package, and then sent in one go to the viewer thanks to the rr.send_columns() API and its .partition() helper. Together, these APIs enable associating subgroups of points with each of their corresponding, non-repeating timestamps.

Flyability kindly provided the data for this example.

Running

Install the example package:

bash
pip install -e examples/python/drone_lidar

To experiment with the provided example, simply execute the main Python script:

bash
python -m drone_lidar

If you wish to customize it, explore additional features, or save it, use the CLI with the --help option for guidance:

bash
python -m drone_lidar --help