analytics

MultiPoseMovenetLightning: Fast Multi‑Person Tracking Demo

A concise Jupyter Notebook walkthrough that shows founders how to implement real‑time multi‑person tracking with MoveNet Lightning, ideal for quick prototyping and proof‑of‑concepts.

From the repo · “A walkthrough demonstrating multi person tracking using movenet lighting”

47 stars26 forksJupyter NotebookGuide quality 8/10 · reviewed Oct 12Updated 8/29/2021100% free · open source
What it does

MultiPoseMovenetLightning tracks the movements of multiple people in a video, providing founders with detailed movement analysis.

When to use it
  • •Analyzing customer behavior in retail environments
  • •Tracking athlete performance in sports analytics
  • •Monitoring patient movement in healthcare settings
Ready-to-paste prompt
Run the example notebook with `jupyter notebook` and modify the `VIDEO_PATH` variable in `movenet_lightning.ipynb` to analyze your own video
Heads up: Ensure you have a compatible version of TensorFlow installed, as the tool requires TensorFlow 2.x to run
Saves to your device
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Claude Code
mkdir -p ~/.claude/skills/multiposemovenetlightning && curl -fsSL https://workflowstacks.com/api/skills/multiposemovenetlightning/claude-skill -o ~/.claude/skills/multiposemovenetlightning/SKILL.md
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2
top-level files
0
folders
13.5M
source size
—
license
File tree
MultiPose MoveNet Tutorial.ipynb
novak.mp4
Quick Actions
Details
Creator
nicknochnack
Language
Jupyter Notebook
Category
analytics
Published
8/29/2021

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