File size: 3,330 Bytes
56bddd8 4d3c01a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 |
---
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
<div id="top"></div>
<!-- PROJECT LOGO -->
<br />
<div align="center">
<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]]
<p align="right">(<a href="#top">back to top</a>)</p>
### Built With
* [Python]
* [OpenCV]
* [TensorFlow]
* [Numpy]
* [Flask]
* [HTML]
* [CSS]
* [JavaScript]
<p align="right">(<a href="#top">back to top</a>)</p>
<!-- 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
```
<p align="right">(<a href="#top">back to top</a>)</p>
<!-- USAGE EXAMPLES -->
## Usage
This project can be used to recognize sign language gestures.
<p align="right">(<a href="#top">back to top</a>)</p>
<!-- CONTRIBUTING -->
## 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
<p align="right">(<a href="#top">back to top</a>)</p>
<!-- CONTRIBUTORS -->
## Contributors
|