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: https://github.com/nicknochnack/Media...
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: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
On this page of the site you can watch the video online AI Hand Pose Estimation with MediaPipe and Python with a duration of hours minute second in good quality, which was uploaded by the user Nicholas Renotte 21 April 2021, share the link with friends and acquaintances, this video has already been watched 90,259 times on youtube and it was liked by 1.9 thousand viewers. Enjoy your viewing!
