Running YoloV8 on Jetson Orin Nano Developer Kit

Issue Overview

Users attempting to run YoloV8 on the Jetson Orin Nano Developer Kit (both 8GB and 32GB versions) are encountering a "Segmentation fault (Core Dumped)" error. This issue arises after users have downloaded and configured the Jetpack SDK, followed by installing the Ultralytics library using the pip3 command. The error occurs specifically when users try to import Yolo from Ultralytics and execute a prediction on a single image.

The problem has been reported consistently by multiple users, indicating it is not an isolated incident. The error significantly impacts the user experience, as it prevents successful execution of the YoloV8 model, which is critical for image processing tasks.

Possible Causes

• Hardware Incompatibilities: The YoloV8 model may not be fully compatible with the Jetson Orin Nano, as it has only been tested on other Jetson models like Nano and Xavier NX.

• Software Bugs or Conflicts: There may be unresolved bugs in the Ultralytics library or compatibility issues with the Jetpack SDK that lead to this segmentation fault.

• Configuration Errors: Incorrect configurations during the installation of Jetpack SDK or Ultralytics could result in memory access violations.

• Driver Issues: Outdated or incompatible drivers for CUDA or other libraries might cause segmentation faults during execution.

• Environmental Factors: Insufficient memory allocation or improper power supply could lead to instability when running memory-intensive applications like YoloV8.

• User Errors or Misconfigurations: Users may not have followed all necessary steps for setup correctly, leading to improper execution of commands.

Troubleshooting Steps, Solutions & Fixes

1. Verify Installation Steps:

   • Ensure that Jetpack SDK is correctly installed and configured.
   • Revisit the installation guide for Ultralytics to confirm that all dependencies are met.

2. Check Compatibility:

   • Confirm whether YoloV8 has been tested on the Jetson Orin Nano by checking with Ultralytics support or community forums.

3. Run Memory Check:

   • Use the following command to check for memory leaks:

     sudo /usr/local/cuda/bin/compute-sanitizer --leak-check=full [app]
     

   • Replace [app] with your application name to diagnose potential memory access issues.

4. Test with Sample Applications:

   • Run sample applications provided with CUDA to ensure that your setup is functioning correctly:

     sudo /usr/local/cuda/bin/compute-sanitizer --leak-check=full /usr/local/cuda/samples/0_Simple/vectorAdd/vectorAdd
     

5. Update Drivers and Libraries:

   • Ensure that you are using the latest versions of CUDA, cuDNN, and other relevant libraries.
   • Check for updates to the Jetpack SDK that may address compatibility issues.

6. Isolate the Problem:

   • Test running YoloV8 with different input images to rule out issues related to specific files.
   • Try running the code on another supported Jetson device (if available) to determine if the issue is specific to Orin Nano.

7. Consult Documentation and Community:

   • Review any official documentation from Ultralytics regarding known issues or troubleshooting tips.
   • Engage with community forums or support channels for additional insights or shared experiences from other users.

8. Best Practices for Future Prevention:

   • Regularly check for updates on both hardware and software components.
   • Maintain a backup of working configurations and environments to facilitate quick recovery from similar issues.

By following these steps, users should be able to diagnose and potentially resolve the segmentation fault issue when running YoloV8 on their Jetson Orin Nano Developer Kit. Further investigation may be needed if problems persist, especially regarding compatibility between YoloV8 and the Orin Nano hardware.