File Not Found Error in Jetson Orin Nano Dev Board Container

Issue Overview

Users are encountering a FileNotFoundError when trying to access local files from within a container on the Nvidia Jetson Orin Nano Developer Kit. The error occurs specifically when executing a command to run a Python module that attempts to load an image file located on the user’s local desktop. The relevant error message is:

FileNotFoundError: [Errno 2] No such file or directory: ‘/home/ailab/Desktop/Hoover.jpg’

This issue arises during the execution of a command designed to run a demo application using the nano_llm library. Users report that while they can access files in the default mounted directory (/jetson-containers/data/images), they are unable to directly access their local data stored on their host machine. The problem seems to be consistent across different setups, significantly impacting user experience by limiting their ability to utilize local resources within the container.

Possible Causes

• Container Directory Mounting: The container may not have access to the specified local directory unless explicitly mounted.
• Incorrect File Path: The specified file path may not exist or is incorrectly referenced within the container environment.
• Permissions Issues: There might be permission restrictions preventing the container from accessing files in the specified directory.
• Configuration Errors: Users may not have configured the container properly to allow access to local files.

Troubleshooting Steps, Solutions & Fixes

1. Verify File Path:

   • Ensure that the file path provided in the command is correct and that the file exists on the host machine.
   • Use terminal commands like ls /home/ailab/Desktop/ to confirm that Hoover.jpg is present.

2. Mount Local Directories:

   • To access local files from within the container, use the -v or --volume flag when starting the container:

     sudo jetson-containers run -v /home/ailab:/home/ailab $(autotag nano_llm)
     

   • This command mounts the /home/ailab directory from the host into the same path inside the container, allowing access to files like Hoover.jpg.

3. Check Permissions:

   • Ensure that the user running the container has read permissions for the specified directories and files.
   • Use chmod or chown commands if necessary to adjust permissions.

4. Test with Alternative Paths:

   • If issues persist, try moving Hoover.jpg to a directory that is known to be accessible within the container, such as /jetson-containers/data/images, and modify your command accordingly.

5. Consult Documentation:

   • Refer to Nvidia’s official documentation for additional configuration options related to Docker containers and volume mounting.

6. Best Practices for Future Access:

   • Always use absolute paths when referencing files in Docker containers.
   • Regularly check for updates or changes in how containers handle file mounting as software updates may introduce new features or fixes.

7. Unresolved Aspects:

   • Some users may still experience issues with specific configurations or unique setups that require further investigation.
   • Engaging with community forums or support channels may provide additional insights or solutions tailored to individual cases.

By following these steps, users should be able to resolve issues related to accessing local files from within their Nvidia Jetson Orin Nano Developer Kit containers effectively.