Computer Vision Pipeline
Builds production computer vision pipelines for object detection and tracking in video, with real guidance on preprocessing frames, frame sampling strategies, and model selection between YOLO, Detectron2, and others. The anti-patterns section is especially useful, showing concrete examples of common mistakes like processing every frame in a 30 FPS video instead of sampling intelligently or detecting scene changes. Designed for drone footage analysis, wildlife monitoring, and real-time detection systems where you need actual pipeline code, not just API calls. Pairs well with geospatial skills if you're working with drone coordinates or data pipeline skills for handling video ETL.
- skills.sh installs
- 153
- GitHub stars
- 113
- last updated
- Jun 3, 2026
Install
$ npx -y skills add erichowens/some_claude_skills --skill computer-vision-pipeline --agent claude-codeInstalls into .claude/skills of the current project.
Files
Computer Vision Pipeline
Expert in building production-ready computer vision systems for object detection, tracking, and video analysis.
When to Use
✅ Use for:
- Drone footage analysis (archaeological surveys, conservation)
- Wildlife monitoring and tracking
- Real-time object detection systems
- Video preprocessing and analysis
- Custom model training and inference
- Multi-object tracking (MOT)
❌ NOT for:
- Simple image filters (use Pillow/PIL)
- Photo editing (use Photoshop/GIMP)
- Face recognition APIs (use AWS Rekognition)
- Basic OCR (use Tesseract)
Technology Selection
Object Detection Models
| Model | Speed (FPS) | Accuracy (mAP) | Use Case |
|---|---|---|---|
| YOLOv8 | 140 | 53.9% | Real-time detection |
| Detectron2 | 25 | 58.7% | High accuracy, research |
| EfficientDet | 35 | 55.1% | Mobile deployment |
| Faster R-CNN | 10 | 42.0% | Legacy systems |
Timeline:
- 2015: Faster R-CNN (two-stage detection)
- 2016: YOLO v1 (one-stage, real-time)
- 2020: YOLOv5 (PyTorch, production-ready)
- 2023: YOLOv8 (state-of-the-art)
- 2024: YOLOv8 is industry standard for real-time
Sponsors
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- Repository
- github.com/erichowens/some_claude_skills
- Categories
- DevOps & CI/CD, Automation & Workflows, Sales & Marketing
- First seen
- Jun 3, 2026
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