Rock-Paper-Scissors Classifier

Getting Started

Prerequisites

Before you begin, ensure you have the following prerequisites:

• Docker: Install Docker on your machine from Docker's official website.

Installation

To get started with the Rock-Paper-Scissors Classifier, follow these steps:

1. Clone this GitHub repository to your local machine or download and extract the ZIP file.
git clone https://github.com/ravin-d-27/rock-paper-scissors-classifier.git
2. Navigate to the project directory.
cd rock-paper-scissors-classifier

Usage

Running the Docker Container

1. Build the Docker image using the provided Dockerfile.
docker build -t rock-paper-scissors-classifier .
2. Run the Docker container.
docker run rock-paper-scissors-classifier

Interacting with the Classifier

1. After executing the above commands, you can start interactibg with the model window
2. Show your gesture in the camera frame
3. The ML model will recognise and tell you which gesture it is and display the same on the screen

Contributing

Contributions are welcome! If you have any suggestions, improvements, or bug fixes, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and test them thoroughly.
4. Commit your changes with descriptive commit messages.
5. Push your changes to your forked repository.
6. Create a pull request to the main repository.

Please ensure your pull request follows the project's coding standards and practices.