MultiPoseMovenetLightning: Track People
MultiPoseMovenetLightning tracks the movements of multiple people in a video, providing founders with detailed movement analysis.
- •Analyzing customer behavior in retail environments
- •Tracking athlete performance in sports analytics
- •Monitoring patient movement in healthcare settings
Run the example notebook with `jupyter notebook` and modify the `VIDEO_PATH` variable in `movenet_lightning.ipynb` to analyze your own video
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/multiposemovenetlightning && curl -fsSL https://workflowstacks.com/api/skills/multiposemovenetlightning/claude-skill -o ~/.claude/skills/multiposemovenetlightning/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/multiposemovenetlightning && curl -fsSL https://workflowstacks.com/api/skills/multiposemovenetlightning/claude-skill -o ~/.claude/skills/multiposemovenetlightning/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: No extra API — just watches the pages you list.
Related skills
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