https://github.com/marcpinet/handigits
🖐️ Background-independent deep learning model for hand sign digit recognition, using my own Deep Learning framework! (Neuralnetlib)
https://github.com/marcpinet/handigits
cv2 deep-learning hand keras mediapipe preprocessing recognition tensorflow
Last synced: 4 months ago
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🖐️ Background-independent deep learning model for hand sign digit recognition, using my own Deep Learning framework! (Neuralnetlib)
- Host: GitHub
- URL: https://github.com/marcpinet/handigits
- Owner: marcpinet
- License: gpl-3.0
- Created: 2024-05-20T22:36:58.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-01T19:52:42.000Z (over 1 year ago)
- Last Synced: 2025-04-22T17:22:17.734Z (about 1 year ago)
- Topics: cv2, deep-learning, hand, keras, mediapipe, preprocessing, recognition, tensorflow
- Language: Python
- Homepage: https://marcpinet.me
- Size: 22.1 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](https://github.com/marcpinet/neuralnetlib) instead of TensorFlow and Keras!
Every information you need is in the source code, but here are some important points:
- The dataset used is: [Sign-Language-Digits-Dataset](https://github.com/ardamavi/Sign-Language-Digits-Dataset)
- The library I use to detect the hand is: [mediapipe](https://github.com/google-ai-edge/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:
```bash
git clone 'https://github.com/marcpinet/handigits'
```
To install all needed requirements run the following command in the project directory:
```bash
pip install -r requirements.txt
```
### 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](https://github.com/marcpinet)
## 📃 License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details