Safety Cone Detection using Yolov8 models as well optimize .onxx and .blob model
-
Updated
Sep 17, 2023
Safety Cone Detection using Yolov8 models as well optimize .onxx and .blob model
Real-time traffic cone detection and track boundary fitting using Livox HAP LiDAR. Built in Rust for Formula Student autonomous driving.
Validate a cone keypoint detector (YOLOv8-pose) on the public FSOCO dataset: COCO-style AP with a monocular range gate, and keypoint accuracy against segmentation masks, without hand-labelled keypoints
To associate your repository with the cone-detection topic, visit your repo's landing page and select "manage topics."