human-extractor
CommunityCrop human detections from dashcam videos.
Authoryousufjoyian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection and extraction of human subjects from dashcam video footage, enabling rapid retrieval of evidence-ready crops and searchable metadata.
Core Features & Use Cases
- GPU-accelerated: YOLOv8-based person detection with ByteTrack for stable IDs across frames.
- Cropped outputs & indexing: saves cropped human images and builds per-date MANIFEST.csv and a global INDEX.csv for fast search.
- Resume-safe: idempotent processing that skips already processed crops, allowing interruption and resumption.
- Optional filtering: CLIP-based head-covering classification can be integrated in extended pipelines.
- Use Case: process Park_R videos to extract all detected humans, generate per-date data, and enable cross-date searches.
Quick Start
Run the extraction workflow by providing a JSON config that points to source dashcam directories and an output folder. Example: create config.json from assets/config_template.json and run:
- python scripts/run_extraction.py config.json
- Or adapt the template to your environment and execute.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 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: human-extractor Download link: https://github.com/yousufjoyian/claude-skills/archive/main.zip#human-extractor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.