Ultralytics Plugin
This plugin provides YOLO-based pose detection capabilities for vision-agents using the Ultralytics YOLO library.
Features
- Real-time pose detection using YOLO models
- Hand and wrist tracking with detailed connections
- Video processing with pose annotations
- Configurable confidence thresholds and processing intervals
- Support for both CPU and GPU inference
Installation
uv add "vision-agents[ultralytics]"
# or directly
uv add vision-agents-plugins-ultralytics
Usage
from vision_agents.plugins import ultralytics
# Create a YOLO pose processor
processor = ultralytics.YOLOPoseProcessor(
model_path="yolo11n-pose.pt",
conf_threshold=0.5,
device="cpu",
enable_hand_tracking=True,
enable_wrist_highlights=True
)
Configuration
model_path: Path to YOLO pose model file (default: "yolo11n-pose.pt")conf_threshold: Confidence threshold for pose detection (default: 0.5)imgsz: Image size for YOLO inference (default: 512)device: Device to run inference on ('cpu' or 'cuda')max_workers: Number of worker threads for processing (default: 2)interval: Processing interval in seconds (0 for every frame)enable_hand_tracking: Whether to draw detailed hand connectionsenable_wrist_highlights: Whether to highlight wrist positions
Dependencies
- ultralytics>=8.0.0
- opencv-python>=4.8.0
- numpy>=1.24.0
- pillow>=10.0.0
- aiortc>=1.6.0
- av>=10.0.0
2 maintainers
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