object-detectionsegmentation-skill

# Object Detection/Segmentation Skill ## Overview Expert skill for deploying and optimizing deep learning models for object detection, instance segmentation, and 3D object detection in robotics applications. ## Capabilities - Configure YOLO (v5, v8) for real-time detection - Set up Detectron2 for instance segmentation - Implement semantic segmentation models - Configure TensorRT optimization for Jetson - Set up ONNX runtime deployment - Implement 3D object detection (PointPillars, VoxelNet) - Configure depth-based object detection - Set up ROS vision pipelines with image_pipeline - Implement object tracking (SORT, DeepSORT, ByteTrack) - Configure multi-camera detection fusion ## Target Processes - object-detection-pipeline.js - synthetic-data-pipeline.js - nn-model-optimization.js - moveit-manipulation-planning.js ## Dependencies - YOLO (Ultralytics) - Detectron2 - TensorRT - ONNX Runtime - vision_msgs ## Usage Context This skill is invoked when processes require object detection model deployment, instance segmentation, 3D detection, or multi-object tracking for robot perception. ## Output Artifacts - Detection model configurations - TensorRT optimized models - ROS detection node implementations - Tracking pipeline configurations - Multi-camera fusion setups - Inference optimization scripts