Learn to decode body language using Python and MediaPipe in this tutorial. The course teaches you how to set up MediaPipe, estimate facial and body poses, collect joint coordinates, train a custom pose classification model, and decode body language in real-time. The teaching method includes practical demonstrations and coding exercises. This course is intended for Python developers interested in AI and computer vision applications.
AI Body Language Decoder with MediaPipe and Python
Overview
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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