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Pose Estimation with the Fastest Python Deep Learning Model - MoveNet Lightning

Nicholas Renotte via YouTube

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Overview

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This course demonstrates how to load the MoveNet Lightning pose estimation model with TensorFlow Lite, detect poses from a webcam, and render keypoints and connections using OpenCV. It builds the rendering functions from scratch for fast, real-time applications.

Syllabus

- Start
- Introduction
- Gameplan
- How it Works
- Tutorial
- 0. Install and Import Dependencies
- 1. Load TFLite Model
- 2. Make Pose Detections
- 3. Draw Keypoints
- 4. Draw Connections
- Wrap Up

Taught by

Nicholas Renotte

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