AI Hand Pose Estimation with MediaPipe and Python

Short and simple hand detection and tracking using MediaPipe. I wanted to write more for this description but I’m hella tired. I’m not actually sure anyone actually reads these anyway. Anyway, here’s some keywords for the algorithm; AI, Machine Learning, Synergy, Efficiency, Python, Super Fast Amazing Biggest Tutorial ever. In this video you’ll learn how to: 1. Set up MediaPipe for Python 2. Estimate hand poses using MediaPipe Hands 3. Output images with detections using OpenCV GET THE CODE FROM THE VIDEO: Chapters: 0:00 - Start 0:11 - Introduction 0:27 - How it Works 1:53 - Tutorial Start 2:48 - Install and Import Dependencies 8:07 - Make Detections in Real Time 8:25 - Accessing a Real Time Webcam Feed Using OpenCV 12:34 - Applying MediaPipe Hand Pose 18:49 - Interpreting Hand Pose Results 19:54 - Rendering Using OpenCV 24:11 - Applying Styling to MediaPipe Detections 28:56 - Horizontally Flipping Images using OpenCV 30:11 - Save Images using OpenCV 35:4