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Milestone Release 1
Highlights
- Fine-tuning pipeline using Vision Transformer for annotation
- YOLOv8 training and inference notebooks
- ROS 2 nodes for object detection and pose estimation
- Support for RealSense and Kinova cameras
- Visualization in RViz2 with preconfigured layout
- Dataset for 4 car parts [Control Unit, Window Assembly, Loud Speaker, Control Unit] in 640x480 and 1280x720 resolutions
Setup
- Python 3.12 and ROS 2 Humble supported
- Two workspaces:
master_project(robot integration) andros2_ws(perception logic) - Pretrained model saved to
runs/detect/.../best.pt - Topics:
/annotated_images,/cropped_pointcloud
Refer to the README for installation and usage instructions.