Uploaded July 2021 | Updated September 2026, 23 minutes ago

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MoveNet Lightning is hella fast and great for fitness applications. In this vid, you'll learn how to use it!

In this video you'll learn how to:
1. Instal MoveNet for Python
2. Load MoveNet using TFLite
3. Rendering Pose Estimation results from scratch
4. Perform real time pose estimation using OpenCV

Get the code:
GitHub: github.com/nicknochnack/MoveNetLightning

Links
Download Model: https://tfhub.dev/google/lite-model/movenet/singlepose/lightning/3
Model Card: storage.googleapis.com/movenet/MoveNet.SinglePose%20Model%20Card.pdf

Chapters
0:00 - Start
0:17 - Introduction
0:46 - Gameplan
1:21 - How it Works
2:11 - Tutorial
3:36 - 0. Install and Import Dependencies
6:42 - 1. Load TFLite Model
12:31 - 2. Make Pose Detections
28:29 - 3. Draw Keypoints
36:57 - 4. Draw Connections
50:36 - Wrap Up

Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!