Jetson-Inference Docker/Run.sh Failing on Nvidia Jetson Orin Nano

Issue Overview

Users are encountering issues when attempting to run Docker containers for the Jetson Inference project on the Nvidia Jetson Orin Nano. The specific symptoms and context of the problem include:

• Symptoms: The user receives multiple error messages indicating missing files and unary operator errors when executing the docker/run.sh script. Key errors include:

  • docker/tag.sh: line 4: docker/containers/scripts/l4t_version.sh: No such file or directory
  • docker/tag.sh: line 6: [: =: unary operator expected

• Context: The issue occurs while following tutorials from the Jetson Inference repository after flashing the Jetson Orin Nano with JetPack 5.1.1. The user is trying to set up and run Docker containers for object detection and other tasks.

• Hardware/Software Specifications: The system is running Docker version 20.10.21 on a Jetson Orin Nano with JetPack 5.1.1.

• Frequency: This problem appears to be a common issue for users new to setting up Docker containers with the Jetson Inference project.

• Impact on User Experience: The inability to start Docker containers prevents users from utilizing the Jetson Inference framework, hindering their development and testing efforts.

Possible Causes

Several factors could lead to the issues described:

• Missing Files: The error indicates that the script l4t_version.sh is missing from the expected directory, which can occur if the repository was not cloned correctly.

• Incorrect Repository Cloning: If the repository was cloned without the recursive flag, submodules (like scripts) may not be included, leading to missing files.

• Docker Configuration Issues: Although the user confirmed that Docker is installed, there could still be configuration issues related to NVIDIA’s container toolkit or runtime.

• User Errors: Misconfigurations or incorrect commands during setup can lead to unexpected behavior in scripts.

Troubleshooting Steps, Solutions & Fixes

To resolve issues with running docker/run.sh for Jetson Inference on the Nvidia Jetson Orin Nano, follow these steps:

1. Check for Missing Files:

   • Verify if l4t_version.sh exists in the directory:

     ls docker/containers/scripts/
     

   • If it is missing, proceed to the next step.

2. Re-clone the Repository with Submodules:

   • If files are missing, re-clone the Jetson Inference repository using the recursive flag:

     git clone --recursive https://github.com/dusty-nv/jetson-inference.git
     

3. Verify Docker Installation:

   • Ensure that Docker and NVIDIA container tools are correctly installed:

     docker --version
     sudo apt-get install nvidia-container nvidia-container-runtime nvidia-container-toolkit nvidia-docker2
     

   • Restart Docker service:

     sudo systemctl restart docker.service
     

4. Run Docker Script Again:

   • After ensuring all files are present and dependencies are installed, attempt to run the script again:

     cd ~/Documents/jetson-inference
     docker/run.sh
     

5. Review Error Messages:

   • If errors persist, carefully review any output messages for clues about what might be wrong. Pay attention to lines mentioning missing files or syntax errors.

6. Consult Documentation and Community Resources:

   • Refer to NVIDIA’s official documentation for setting up Docker containers with Jetson Inference for additional guidance.
   • Search through GitHub issues or community forums for similar problems encountered by others.

7. Unresolved Aspects:

   • Users may still face unique issues based on specific configurations or changes made during setup that are not covered in common solutions. Further investigation may be required if standard troubleshooting does not resolve the problem.

By following these steps, users should be able to troubleshoot and resolve issues related to running Docker containers with Jetson Inference on their Nvidia Jetson Orin Nano.