This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!
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machine-learning-hand-detector's Introduction
Machine Learning Hand Detector
This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google, to Detect The 21 Landmarks On your hands.
Any Type Of Contribution is Accepted Here!
Now, How To Use This Project?
Open Terminal (or Command Prompt if You're on Windows 10 or older)
pip install mediapipe
pip install opencv-python
After You've installed the Modules,
Click on The Code button in the Repository, And Then Click on Download Zip.
Extract The Zip File.
Run The Hand Detection.py File And Wait for it to Configure itself for few seconds,
After The Camera Has Been started, Then Show your hands in the Camera.
And Then, Wow! You Can see that The Project will Detect the 21 Landmarks on Your hands and show it in the camera!!
Press Escape Key To Close The Camera if You Want...
Experiments
Try Turning You hands from 0 degrees 360 degrees.
Try Changing your hand movements very quickly.
Try the Typing action in Camera, (That Really Looks cool!!)
And If you Enjoyed All That, Then Star This Repository!
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