Table of Contents
Handigits
📝 Description
The goal of this project was to make a deep learning model that could recognize hand signs digits, no matter the environment.
💡
TIP
NEW: The project now uses Neuralnetlib, my own deep learning framework instead of TensorFlow and Keras!
- The dataset used is: Sign-Language-Digits-Dataset
- The library I use to detect the hand is: mediapipe
I don't think this project deserves a bigger README, like my other projects.
It was primarily made for fun and to learn more about real-time processing and deep learning.
🎥 Demo
💡 How to use
Prerequisites
- Python 3.7.0+
Get a copy of the Project. Assuming you have git installed, open your Terminal and enter:
To install all needed requirements run the following command in the project directory:
Running
After that, you can proceed to start the program by running main.py
.
🐛 Known issues
- Nothing yet!
🥅 TO-DO List
- Nothing yet!
✍️ Authors
- Marc Pinet - Initial work - marcpinet
📃 License
This project is licensed under the MIT License - see the LICENSE.md file for details