spatial-occupancy-event
CommunityAnalyze video surveillance to detect spatial occupancy of ROI regions.
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps to determine whether visually observed subjects occupy configured video monitoring ROI regions through extracted-frame LLM review, useful for monitoring activities like illegal parking, lane occupancy, and intrusion.
Core Features & Use Cases
- ROI Analysis: Reviews extracted frames to identify and confirm the presence of subjects within specified ROI regions.
- Visual Confirmation: Provides visual evidence by analyzing frames and recording subject, ROI, timestamps, and evidence frame IDs.
- Use Case: Detect if a vehicle is parked in a no-parking zone by analyzing video surveillance frames.
Quick Start
Analyze spatial occupancy for a video frame using the spatial-occupancy-event skill with --roi-matches-json <roi_matches.json> --tracks-json <tracks.json> --target-labels person --roi-types public_area --output <method_result.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: spatial-occupancy-event Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#spatial-occupancy-event Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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