Combine 2D ML algorithms and 3D lidar data with Ouster Python SDK

We are continuing to improve our SDK here at Ouster to help more engineers to build and test with lidar data faster. To demonstrate its expanding capabilities, we wrote this blog post on how easy it is to use a powerful 2D computer vision algorithm (YOLOv5) on our digital lidar data to build a social distancing app.

Feel free to try other algorithms on our sample data library. If you have any feedback, drop us a line on our GitHub.

For those of you interested in ROS2 drivers for our sensors, please visit this GitHub page. Thanks!

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