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--- |
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title: Test1 |
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emoji: 🚀 |
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colorFrom: purple |
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colorTo: indigo |
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sdk: docker |
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pinned: false |
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license: apache-2.0 |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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<div id="top"></div> |
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<!-- PROJECT LOGO --> |
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<br /> |
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<div align="center"> |
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<h3 align="center">Sign Language Image Recognition System + Web App</h3> |
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<p align="center"> |
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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. |
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<br /> |
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<a href="sign-language-recognizer"><strong>Explore the project »</strong></a> |
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<br /> |
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</p> |
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</div> |
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<!-- TABLE OF CONTENTS --> |
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<details> |
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<summary>Table of Contents</summary> |
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<ol> |
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<li> |
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<a href="#about-the-project">About The Project</a> |
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<ul> |
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<li><a href="#built-with">Built With</a></li> |
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</ul> |
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</li> |
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<li> |
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<a href="#getting-started">Getting Started</a> |
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<ul> |
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<li><a href="#prerequisites">Prerequisites</a></li> |
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<li><a href="#installation">Installation</a></li> |
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</ul> |
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</li> |
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<li><a href="#usage">Usage</a></li> |
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<li><a href="#contributing">Contributing</a></li> |
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<li><a href="#contributors">Contributors</a></li> |
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<li><a href="#license">License</a></li> |
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<li><a href="#contact">Contact</a></li> |
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</ol> |
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</details> |
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<!-- ABOUT THE PROJECT --> |
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## About The Project |
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[![Product Name Screen Shot][product-screenshot]] |
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<p align="right">(<a href="#top">back to top</a>)</p> |
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### Built With |
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* [Python] |
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* [OpenCV] |
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* [TensorFlow] |
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* [Numpy] |
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* [Flask] |
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* [HTML] |
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* [CSS] |
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* [JavaScript] |
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<p align="right">(<a href="#top">back to top</a>)</p> |
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<!-- GETTING STARTED --> |
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## Getting Started |
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To get a local copy up and running follow these simple example steps. |
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### Prerequisites |
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This project is built using Python. You may need to have installed python and pip to install required packages. |
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### Installation |
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python3 train.py \ |
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--bottleneck_dir=logs/bottlenecks \ |
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--how_many_training_steps=2000 \ |
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--model_dir=inception \ |
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--summaries_dir=logs/training_summaries/basic \ |
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--output_graph=logs/trained_graph.pb \ |
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--output_labels=logs/trained_labels.txt \ |
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--image_dir=./dataset |
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``` |
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5. Run the web application |
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``` |
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python3 classify_webcam.py |
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``` |
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<p align="right">(<a href="#top">back to top</a>)</p> |
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<!-- USAGE EXAMPLES --> |
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## Usage |
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This project can be used to recognize sign language gestures. |
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<p align="right">(<a href="#top">back to top</a>)</p> |
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<!-- CONTRIBUTING --> |
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## Contributing |
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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**. |
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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". |
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Don't forget to give the project a star! Thanks again! |
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1. Fork the Project |
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2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`) |
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3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`) |
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4. Push to the Branch (`git push origin feature/AmazingFeature`) |
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5. Open a Pull Request |
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<p align="right">(<a href="#top">back to top</a>)</p> |
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<!-- CONTRIBUTORS --> |
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## Contributors |
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