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1
Introduction
2
Basic Configuration
3
Distance Formula
4
Distance Matrix
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Error Array
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Too Much Data
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Simplification
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Smaller Dataset
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Coffee Break
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Visual Studio Code
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New Python Program
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Demonstration
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Key Points
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Key Landmarks
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Code View
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Import Numpy
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Create Distance Matrix
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Create Floats
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Create Hand Data
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Creating Distance Matrix
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Step Through
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Where to Start
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Hand Data
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Columns
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Column in Range
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Dist Matrix
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Calculate Distance
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Calculate Row Data
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Square Column Data
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Return Distance Matrix
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Define Find Error
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Define Unknown Matrix
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Reset Error to 0
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Reset Error to 0128
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Reset Error to 0129
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Reset Error to 0130
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Juggler
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Print
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Training
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Testing Distance Matrix
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Unknown Gesture
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Error
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Put Text
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Round Error
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Blue
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Weight
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Fixing decimal round
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Gesture Detection
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Power to the People
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Go forth and Prosper
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn to implement gesture detection using MediaPipe in this comprehensive tutorial. Explore the process of utilizing handLandmarks from MediaPipe to recognize and detect hand gestures. Develop a conceptual algorithm showing promise for accurate gesture recognition. Dive into topics such as basic configuration, distance formulas, distance matrices, error arrays, and data simplification. Follow along with practical demonstrations in Visual Studio Code, including importing NumPy, creating distance matrices, and calculating distances between key points. Implement error handling, unknown gesture detection, and gesture classification techniques. By the end of this lesson, gain the skills to build a functional gesture detection system using Python, OpenCV, and MediaPipe.

AI for Everyone - First Attempt at Using MediaPipe for Gesture Detection

Paul McWhorter
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#Computer Science #Artificial Intelligence #Programming #Programming Languages #Python #Computer Vision #Object Detection #Machine Learning #Mediapipe
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Introduction