roi-mapping
CommunityAutomatically match detections and tracks against camera ROI polygons.
Software Engineering#video surveillance#ROI matching#spatial event detection#polygon processing#track matching
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automatically matches detections or tracks against configured camera ROI polygons, providing the necessary spatial event detection before further processing.
Core Features & Use Cases
- ROI Matching: Match detections or tracks to predefined camera ROI polygons.
- Spatial Event Detection: Facilitate spatial event detection for scenarios like no-parking zones, sidewalks, roads, or public areas.
- Use Case: Before analyzing video surveillance data, use this Skill to ensure that only relevant regions of interest are considered, enhancing the accuracy of spatial event detection.
Quick Start
Run the roi-mapping skill to match tracks against ROI polygons using the following command:
- Run the script directly with the provided arguments:
python roi-mapping/scripts/run.py --tracks-json <tracks.json> --camera-id <camera_id> --config <config.json> --output <roi_matches.json>
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: roi-mapping Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#roi-mapping Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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