Hill Climb Racing Game Controller

About   |   How To Use   |   Features   |   Technologies   |   Requirements   |   Starting   |   Made By   |   Author

🎯 About

I have made a Hill Climb Racing Game Controller. The game runs as we move our hand in front of the Primary Camera. It uses Machine Learning to infer 21 3-Dimensional Landmarks of our hand using Mediapipe's State-of-the-art techniques.

🎯 How To Use

Basic Interface of Window:-

Playing the Game:-

Playing.The.Game.mp4

✨ Features

✔️ Uses Open Computer Vision (OpenCV)
✔️ Tracks hands and Finger Tips Efficiently
✔️ Moves the vehicle according to hand gestures.
✔️ Can operate Hill Climb Racing game without touching the laptop.

🚀 Technologies

The following tools were used in this project:

• Numpy
• Pandas
• Matplotlib
• OpenCV

✅ Requirements

Before starting, you need to have Git & basic Deep Learning libraries installed. You should also install Hill Climb Racing by going to This Link

🏁 Starting

# Clone this project
$ git clone https://github.com/UtkarshPrajapati/Game-Controller-Using-Hand-Gestures.git

# Access
$ cd Game-Controller-Using-Hand-Gestures

# Install dependencies
$ pip install -r requirements.txt

# Run the project
$ jupyter nbconvert --to notebook --execute "Game Controller.ipynb"

📝 Made By

Made with ❤️ by Utkarsh Prajapati

 

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