Custom Object Detection #1
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**IT COMPILES** - Added Yolo, OpenCV, TensorRT (nvinfer) to cmakelists - Added lib files from https://github.com/stereolabs/zed-sdk/tree/master/object%20detection/custom%20detector/cpp/tensorrt_yolov5-v6-v8_onnx - Added Yolo detection to main file - Disabled all other detectors in `zed_camera_component.hpp` - Removed two Fusion Position Tracking lines that caused for it to not compile (even without changes)
…les so object detection loads
…m model - Added custom_model_path to yaml file - Only do custom box objects if the model type is custom box objects - Patch the loader function to allow CUSTOM_BOX_OBJECTS as a type - Remove object filtering if CUSTOM_BOX_OBJECTS is selected - Better formatting and variable naming - Less strange debug messages
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An attempt to get Yolo to play nicely with the ZED ROS Wrapper in order to publish custom 3d bounding boxes.
A large amount of code and files are taken from this ZED example of Yolo with custom bounding boxes.
Build Instructions
Make sure you have TensorRT and OpenCV installed on your system, as well as the normal requirements of the ZED SDK (now version 4+) and Cuda 12. Once you have all the requirements, run
colcon buildin a ROS2 workspace!