Welcome to the transformer-gesture project! This application allows you to use real-time gesture recognition on your computer. It's based on advanced technologies like Vision Transformers and ONNX, making it powerful yet accessible. Follow this guide to download and run the application easily.
You can find the latest version of the transformer-gesture application on our Releases page.
Visit this page to download: Download Latest Release
Before installing the application, ensure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS, or a recent Linux distribution.
- Memory: At least 4 GB of RAM.
- Storage: Minimum of 200 MB of free disk space.
- Camera: A webcam for gesture detection.
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Visit the Releases Page Go to the releases page where you can download the application. Access it here.
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Choose Your File Look for the latest release. You’ll see various files available for download. Select the one that suits your operating system.
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Download the File Click on the chosen file to start the download.
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Locate the File Once the download is complete, find the file in your Downloads folder or the location you specified.
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Install the Application
- For Windows: Double-click the
.exefile and follow the on-screen instructions. - For macOS: Open the
.dmgfile and drag the transformer-gesture application to your Applications folder. - For Linux: Right-click the file and select "Open with" to install using a package manager, or run the command in a terminal.
- For Windows: Double-click the
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Open the Application After installation, locate the application on your computer. Double-click the icon to start the program.
Once you have the application open, follow these steps to use gesture recognition:
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Set Up Your Webcam Position your webcam so it can see your hands clearly in a well-lit area.
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Choose a Mode The application will present several modes (e.g., sign language recognition, general gesture detection). Select the one that fits your needs.
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Start Recognition Follow the instructions on-screen. Use your hands to perform gestures, and the application will recognize them in real-time.
- Real-Time Gesture Recognition: Instantly recognize gestures with high accuracy.
- Browser-Based Demo: Test the application in your browser without installation.
- Dataset Preparation: Includes tools to prepare your datasets for training.
- Training and Evaluation: Easily train your models and evaluate their performance.
This project covers various topics, including:
- Accessibility Tutorial
- Computer Vision
- Deep Learning
- Gesture Recognition
- Gradio Integration
- ONNX and ONNX Runtime
- PyTorch Framework
- Sign Language Recognition
- Transformers Technology
Detailed documentation is available for users who want to understand the inner workings of the application. You will find:
- Installation guides.
- User instructions.
- Development insights.
Explore the documentation to get the most out of the transformer-gesture application.
If you encounter any issues or have questions, you can reach out via the Issues tab on the GitHub repository. We encourage you to provide feedback and suggestions for improvements.
Thank you for using transformer-gesture! We hope you find this application helpful and easy to use. For any updates, remember to check the Releases page regularly.