event-template-mapping
CommunityMap LLM visual observations to video monitoring Event Candidate semantics.
Data & Analytics#security monitoring#event detection#video surveillance#event mapping#visual observations
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps map LLM visual observations or method-level event results into final video monitoring Event Candidate semantics, streamlining the event recognition process.
Core Features & Use Cases
- Visual Event Mapping: Converts visual observations into event candidates based on LLM output.
- Event Candidate Semantics: Generates event type, confidence, severity, reason, and evidence frames.
- Use Case: In a video surveillance system, this skill can be used to process and categorize events based on visual observations, enhancing the efficiency of security monitoring.
Quick Start
Run the event-template-mapping skill with the following command: `python event-template-mapping/scripts/run.py --method-results-json <method_results.json> --template-name <template_name> --camera-id <camera_id> --config <config.json> --output <event.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: event-template-mapping Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#event-template-mapping Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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