YOLOv5 on LiDAR data! #7326
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Ouster’s lidar sensor output four data layers for each pixel with a 1:1 spatial correspondence of points: Range, Signal, Near-IR, and Reflectivity. With Ouster's Python SDK, it’s pretty easy and fast to combine the data with YOLOv5 to program and experiment with object detection and distance tracking outputs. Here's a blog post walking through the steps in detail.
![image](https://github.com/camo/749575836af5c058b57683d02aaee3a8bf6a27de87c864c69082f2d4f6e408ba/68747470733a2f2f6f75737465722e636f6d2f7374617469632f30386565306661646462396239656431373565666161663532373034353065632f31393032342f4f75737465725f507974686f6e5f53444b5f594f4c4f76355f46656174757265642e77656270)
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