Object detection for autonomous robots using state-of-the-art YOLOv4. To optimise models for deployment on Jetson devices, models were serialised into TensorRT engine files for inference. As ROS is one of the most popular middle-ware used for robots, this project performs inference on camera/video input and publishes detection in ROS-supported message formats. This allows anyone to easily modify and use this package in their own projects.
This project supports YOLOv3, tiny-YOLOv3, YOLOv4, tiny-YOLOv4. There are plans to include scaled YOLOv4 in the future.
Hope you like the project and feel free to contribute to it!