Learn accurate gesture recognition using Python and MediaPipe in this comprehensive tutorial. Explore hand landmark detection, develop a conceptual algorithm, and implement precise training for recognizing hand gestures. Follow along as the instructor demonstrates the setup process in Visual Studio Code, creates training sets, identifies key points, and troubleshoots errors. Discover techniques for detecting known and unknown gestures, and engage in practical testing to reinforce your understanding of this powerful computer vision application.
AI for Everyone - Accurate Gesture Recognition Using Python and MediaPipe
Overview
Syllabus
Introduction
Open Visual Studio Code
Visual Studio Code Walkthrough
Setting up the Training
Training Sets
Find Gestures
Key Points
Finding Errors
Finding Gesture
Finding unknown gestures
Testing again
Taught by
Paul McWhorter
Related Courses
-
AI for Everyone - First Attempt at Using MediaPipe for Gesture Detection
-
AI for Everyone - Control of Real World Objects with Gesture Recognition in Mediapipe
-
Computer Vision: YOLO Custom Object Detection with Colab GPU
-
Computer Vision: Face Recognition Quick Starter in Python
-
AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe
-
AI Face, Body and Hand Pose Detection with Python and Mediapipe
