This sample shows how to detect custom objects using the official Pytorch implementation of YOLOv5 from a ZED camera and ingest them into the ZED SDK to extract 3D informations and tracking for each objects.
- Get the latest ZED SDK and pyZED Package
- Check the Documentation
- Place the yolov5 folder in the secondary directory, otherwise an error will be reported
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This project is written based on the Yolov5 version and directly calls the internal parameters of Zed to achieve ranging
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Code execution 1. py can run