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: [ Ссылка ]

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
35:41 - Ending

Oh, and don't forget to connect with me!
LinkedIn: [ Ссылка ]
Facebook: [ Ссылка ]
GitHub: [ Ссылка ]
Patreon: [ Ссылка ]
Join the Discussion on Discord: [ Ссылка ]

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

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