3D Object Detection in Ouster point cloud data

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Hi,
We have procured ouster OS-1 32 channel LIDAR. We want to use the data collected to detect objects in the ouster point cloud data itself in python. Can you please help me in how to work on 3D object detection with pcap and json files? I have converted the raw pcap and json data to pcd files(The complete ouster data sequence to individual frames).

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Hi @Jyothsna

We do have examples that shows how you could utilize the lidarscan data along along with deeplearning models to perform detection in image space, checkout the post: Running YOLO on 2D LidarScans using the SDK or the example: GitHub - ouster-lidar/ouster-yolov5-demo: Ouster YOLOv5 Demo

However, if you are looking for a pure object detection with spatial coordinates I recommend checking out mmdetection library which is better suited for such workloads.

Hope this helps!

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