human-extractor
GPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. This skill should be used when users need to extract human presence from videos, analyze dashcam footage for people detection, perform investigative analysis of human subjects in recordings, or classify individuals with optional head covering detection.
npx skills add majiayu000/claude-skill-registry --skill human-extractor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Human Extractor Skill ## Description GPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. Processes MP4 videos to extract human crops with optional CLIP-based head covering classification, saving all outputs to a unified directory with comprehensive indexing. ## Purpose Extract visual evidence of human presence from dashcam recordings for investigative analysis. Optimized for high throughput using NVDEC decoding, batched YOLOv8 detection, ByteTrack multi-object tracking, and optional CLIP classification. --- ## Usage ### Basic Invocation ``` Extract humans from Park_R videos on October 6, 2025 ``` ### Advanced Invocation ``` Scan Park_R\20251006 and 20251007, keep only frames with people, save all outputs in one folder, add one full-frame per timestamp with boxes, use my GPU at max, filter for head-covered individuals at 80% confidence ``` --- ## Input Parameters ### Required - **roots** (list[str]): One or more source directories containing MP4 files - Example: `["G:\\My Drive\\PROJECTS\\INVESTIGATION\\DASHCAM\\Park_R\\20251006"]` ### Core Detection - **confidence** (float, default: 0.35): YOLOv8 detection confidence threshold (0.0-1.0) -
- Description
- Purpose
- Usage
- Basic Invocation
- Advanced Invocation
- Input Parameters
- Required
- Core Detection
- CLIP Filtering (Optional)
- Hardware Acceleration
- Output Control
- Filename Convention
- Deduplication
- Parallel Processing
Basic usage python -m src.cli.run_multi_dates \ Advanced usage with CLIP filtering cd "G:\My Drive\PROJECTS\APPS\Human_Detection" pip install -r requirements.txt
What does the human-extractor skill do?
GPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. This skill should be used when users need to extract human presence from videos, analyze dashcam footage for people detection, perform investigative analysis of human subjects in recordings, or classify individuals with optional head covering detection.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill human-extractor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.