---
title: Test1
emoji: 🚀
colorFrom: purple
colorTo: indigo
sdk: docker
pinned: false
license: apache-2.0
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


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<!-- PROJECT LOGO -->
<br />
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<h3 align="center">Sign Language Image Recognition System + Web App</h3>

  <p align="center">
    An image recognition system developed with python and ML libraries to detect sign language gestures. It is connected along with a web application using flask and it was developed for an academic project.
    <br />
    <a href="sign-language-recognizer"><strong>Explore the project »</strong></a>
    <br />
  </p>
</div>



<!-- TABLE OF CONTENTS -->
<details>
  <summary>Table of Contents</summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
      <ul>
        <li><a href="#built-with">Built With</a></li>
      </ul>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
      <ul>
        <li><a href="#prerequisites">Prerequisites</a></li>
        <li><a href="#installation">Installation</a></li>
      </ul>
    </li>
    <li><a href="#usage">Usage</a></li>
    <li><a href="#contributing">Contributing</a></li>
    <li><a href="#contributors">Contributors</a></li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>



<!-- ABOUT THE PROJECT -->
## About The Project

[![Product Name Screen Shot][product-screenshot]]

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### Built With

* [Python]
* [OpenCV]
* [TensorFlow]
* [Numpy]
* [Flask]
* [HTML]
* [CSS]
* [JavaScript]

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<!-- GETTING STARTED -->
## Getting Started

To get a local copy up and running follow these simple example steps.

### Prerequisites

This project is built using Python. You may need to have installed python and pip to install required packages.

### Installation

python3 train.py \
  --bottleneck_dir=logs/bottlenecks \
  --how_many_training_steps=2000 \
  --model_dir=inception \
  --summaries_dir=logs/training_summaries/basic \
  --output_graph=logs/trained_graph.pb \
  --output_labels=logs/trained_labels.txt \
  --image_dir=./dataset
```
5. Run the web application
```
python3 classify_webcam.py
```


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<!-- USAGE EXAMPLES -->
## Usage

This project can be used to recognize sign language gestures.

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## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

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<!-- CONTRIBUTORS -->
## Contributors