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: 19 days 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 (9 months ago)
• Default Branch: main
• Last Pushed: 2024-12-10T00:21:55.000Z (2 months ago)
• Last Synced: 2024-12-10T01:22:01.481Z (2 months ago)
• Topics: cv2, deep-learning, hand, keras, mediapipe, preprocessing, recognition, tensorflow
• Language: Python
• Homepage: https://marcpinet.me
• Size: 22.1 MB
• Stars: 2
• Watchers: 2
• 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

![demo](resources/demo.gif)

## 💡 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