Internal Data Stream Error with Nvidia Jetson Orin Nano Dev Board Using DeepStream

Issue Overview

Users of the Nvidia Jetson Orin Nano Dev board have reported encountering an Internal data stream error when attempting to run DeepStream pipelines using the gst-launch-1.0 command. This error often manifests as:

• Error Messages:
  • ERROR: from element /GstPipeline:pipeline0/GstFileSrc:filesrc0: Internal data stream error.
  • ERROR: pipeline doesn’t want to preroll.

The issue typically arises during the setup and execution of GStreamer pipelines intended for video processing and segmentation tasks, particularly when using DeepStream applications.

Context

• Hardware: Nvidia Jetson Orin Nano Dev board.
• Software: GStreamer and DeepStream SDK.
• Frequency: The issue appears consistently among users attempting to run specific pipelines, especially those involving file sources and video decoding.
• Impact: The problem hinders users from executing their video processing applications effectively, leading to frustration and a lack of functionality in their projects.

Possible Causes

Several potential causes have been identified for this issue:

• Missing Syntax in Commands: Users have reported missing exclamation marks (!) in their GStreamer command syntax, which can lead to linking errors between pipeline elements.

• Incorrect Pipeline Configuration: Errors in the pipeline configuration, such as incorrect element parameters or misconfigured paths, can cause the pipeline to fail.

• Driver Issues: Outdated or incompatible drivers may result in errors when trying to execute certain GStreamer elements.

• Environmental Factors: Insufficient power supply or overheating could affect the performance of the Jetson board.

• User Misconfiguration: New users may misconfigure elements within the pipeline due to a lack of understanding of GStreamer syntax and structure.

Troubleshooting Steps, Solutions & Fixes

To resolve the internal data stream error and improve pipeline execution, follow these troubleshooting steps:

1. Check Command Syntax:
   Ensure that all elements in your gst-launch-1.0 command are correctly linked with exclamation marks (!). For example:

   gst-launch-1.0 filesrc location=/opt/nvidia/deepstream/deepstream/samples/streams/sample_720p_mjpeg.mp4 ! jpegparse ! nvv4l2decoder ! m.sink_0 nvstreammux name=m batch-size=1 width=1280 height=720 ! nvinfer config-file-path=/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-segmentation-test/dstest_segmentation_config_semantic.txt ! nvsegvisual ! nvmultistreamtiler ! filesink location=seg_output.mp4
   

2. Use Debugging Flags:
   To gather more information about errors, prepend your command with debugging flags:

   GST_DEBUG=3 gst-launch-1.0 ...
   

3. Break Down the Pipeline:
   Test individual components of your pipeline to isolate issues. Start with a simpler command:

   gst-launch-1.0 filesrc location=/opt/nvidia/deepstream/deepstream/samples/streams/video2.mp4 ! jpegparse ! nvv4l2decoder mjpeg=1 ! nv3dsink
   

4. Check Source File Resolution:
   Ensure that the resolution of your source video matches your pipeline specifications. If your source file is 1280×720, adjust your pipeline accordingly.

5. Modify Configuration Files:
   Edit the configuration file located at /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-segmentation-test/dstest_segmentation_config_semantic.txt to match your desired resolution settings (e.g., infer-dims=3;640;360). Be cautious of format requirements.

6. Utilize nvvideoconvert for Resolution Changes:
   If needed, insert nvvideoconvert after nvinfer to downscale or upscale video resolutions as required by your application.

7. Test with Different Video Formats:
   If issues persist, try using different video formats or sources to determine if the problem is related to specific file types.

8. Refer to Documentation and Examples:
   Utilize official Nvidia documentation and community resources for reference pipelines and configurations that align with your use case.

9. Seek Community Support:
   If all else fails, consider reaching out on forums or community boards where other users may have faced similar issues.

By following these steps, users should be able to identify and resolve the internal data stream error effectively while optimizing their use of the Nvidia Jetson Orin Nano Dev board with DeepStream applications.