🚀 onnx-coreml-conversion - Convert ONNX Models Seamlessly

📋 Description

This project provides a simple example of how to convert ONNX models to CoreML. It utilizes Docker and ensures that you have a consistent environment for your conversion. With this tool, you can easily integrate machine learning models into iOS applications, making them accessible and efficient.

🛠️ Features

• Convert ONNX models to CoreML format.
• Use Docker for setup, ensuring no installation conflicts.
• Pinned environment for consistent results.
• Suitable for iOS applications with no coding required.

💻 System Requirements

To run this application, you will need:

• A computer with macOS or Linux.
• Docker installed on your machine.
• Basic familiarity with using a terminal or command line (no programming knowledge required).

📥 Download & Install

To get the latest version of the software, visit this page to download: GitHub Releases.

1. Click on the link above to access the Releases page.
2. Find the latest version of the application.
3. Download the appropriate package for your system.
4. Follow the installation instructions provided in the release notes.

🚀 Getting Started

1. Once the download is complete, locate the downloaded file on your computer.
2. Extract the contents (if necessary).
3. Open a terminal window. You can find this in your Applications or using Spotlight on macOS, or Control Center on Linux.
4. Navigate to the directory where you placed the downloaded files using the cd command. For example:

   cd path/to/downloaded/files

5. Ensure Docker is running. You can check if Docker is running with the following command:

   docker info

6. Start the conversion process using the command:

   docker run -v $(pwd):/data your-docker-image

   Replace your-docker-image with the actual image name specified in the release documentation.

🔍 Troubleshooting

If you encounter any issues:

• Ensure Docker is properly installed and running on your system.
• Check the release notes for any specific instructions related to your version.
• Refer to the Issues tab for common problems and solutions.

📖 Documentation

For detailed information about how to use each feature, please refer to the usage documentation included in the downloaded files. You can also find helpful guides online specific to Docker and ONNX models.

💬 Support

If you have questions or need further assistance, please feel free to create an issue in the GitHub Issues section. The community and maintainers are here to help you.

📈 Contributing

We welcome contributions! To get involved, please read our contributing guidelines included in the repository. Your input can help improve this tool for everyone.

🔗 Related Topics

• CoreML
• Machine Learning Models
• Docker
• ONNX Models
• iOS Development

Feel free to follow the links above for further reading and resources relevant to your projects.