Pose Estimation with the Fastest Python Deep Learning Model | MoveNet Lightning
Nicholas Renotte Nicholas Renotte
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 Published On Jul 8, 2021

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: https://github.com/nicknochnack/MoveN...

Links
Download Model: https://tfhub.dev/google/lite-model/m...
Model Card: https://storage.googleapis.com/movene...

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: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

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

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