Learn to build body pose-based applications using Python and Mediapipe in this comprehensive tutorial video. Explore the fundamentals of body pose detection, facial landmark estimation, and hand pose detection using the Mediapipe library and your webcam. Discover how to install Mediapipe, set up Mediapipe Holistic for Python, access real-time video feed using OpenCV, and detect and visualize facial landmarks, body poses, and hand poses. Follow along to prototype various applications such as touchless gesture control, human sentiment analysis, and exercise counters. Gain practical skills in working with deep learning models for accurate keypoint detection and learn to customize landmark colors and styling.
AI Face, Body and Hand Pose Detection with Python and Mediapipe
Overview
Syllabus
​ - Start
- Installing Mediapipe and OpenCV
- Real Time Video Feed from Your Webcam using OpenCV
- Detecting Landmarks for Face, Body and Hand Poses
- Changing Landmark Colors and Styling
Taught by
Nicholas Renotte
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