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YouTube

AI Body Language Decoder with MediaPipe and Python

Nicholas Renotte via YouTube

Overview

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This tutorial builds a real-time body language decoder in Python by extracting facial and body landmarks from webcam video with MediaPipe and OpenCV. It covers collecting coordinate data, training and evaluating a custom Scikit-Learn pose-classification model, and adding new pose classes.

Syllabus

- Start
- Introduction
- How it Works
- Tutorial Start
- Installing Mediapipe and Dependencies
- Capture Landmarks using OpenCV and CSV
- Load Pose and Face Data using Pandas
- Train Sciki-Learn Pose Classification Model
- Evaluate Classification Model and Pickle
- Making Detections using the Model
- Decoded Body Language Demo
- Displaying Probabilities
- Adding in New Poses
- Wrap Up

Taught by

Nicholas Renotte

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