Object Detection_Segmentation Skill
Deep learning based object detection and segmentation for robotics applications
它会碰到什么
扫了多少2 个文本文件，2 KB
它会碰到什么不碰外部（只输出文字）
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0
这一栏是扫描器报的事实，不是结论。命中多不等于有毒（安全工具、规则库、示例脚本本来就会包含危险写法），命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系，需要你自己看。
技能内容
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
想直接用这个技能？
本站把开放许可（MIT / Apache 等）的技能按仓库打包整理到网盘，点一下转存到你自己的网盘，不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接，不打包。
它属于哪个仓库
星标★ 1,796
本站分层T1
该仓技能数2115
原文件路径
library/specializations/robotics-simulation/skills/object-detection/SKILL.md