Failed to Create RTSP Streaming Server Using Test-Launch on Nvidia Jetson Orin Nano

Issue Overview

Users have reported difficulties in creating an RTSP streaming server using the test-launch command on the Nvidia Jetson Orin Nano Dev board, specifically with JetPack version 5.1.3. The main symptoms include:

• Error Messages: When attempting to execute the command, users receive the error: "Failed to create CaptureSession" from the nvarguscamerasrc element.

• Context of the Issue: The problem occurs when users try to stream camera data using the GStreamer pipeline. They successfully run a basic capture-display command but encounter issues when integrating it into an RTSP server setup.

• Hardware and Software Specifications:

  • Device: Nvidia Jetson Orin Nano
  • JetPack Version: 5.1.3

• Frequency of the Issue: The issue appears consistently among multiple users attempting similar setups.

• Impact on User Experience: Users are unable to obtain video streams, which hampers their ability to utilize camera feeds for applications such as object recognition.

Possible Causes

Several potential causes have been identified for this issue:

• Hardware Incompatibilities or Defects: Issues with the camera hardware or connections may prevent successful streaming.

• Software Bugs or Conflicts: Bugs in the GStreamer pipeline or conflicts with specific versions of libraries could lead to failures.

• Configuration Errors: Incorrect parameters in the GStreamer command may result in failure to establish a stream.

• Driver Issues: Outdated or incompatible drivers for camera hardware could cause problems with capturing video streams.

• Environmental Factors: Insufficient power supply or overheating could affect performance and functionality.

• User Errors or Misconfigurations: Incorrectly set parameters or commands might lead to errors during execution.

Troubleshooting Steps, Solutions & Fixes

To address the issue, users can follow these comprehensive troubleshooting steps and solutions:

1. Basic Capture Test:

   • Execute a simple capture-display command to ensure that frames can be obtained from the camera:

     gst-launch-1.0 nvarguscamerasrc ! nvvidconv ! xvimagesink
     

2. Testing with Different Sources:

   • Replace nvarguscamerasrc with videotestsrc in the pipeline to check if the problem lies with the camera source:

     gst-launch-1.0 videotestsrc ! nvvidconv ! xvimagesink
     

3. Update RTSP Streaming Command:

   • Use a modified command for RTSP streaming that includes appropriate parameters:

     ./test-launch "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=1920, height=1080, framerate=30/1, format=NV12 ! nvvidconv ! video/x-raw,width=1920,height=1080,framerate=30/1 ! x264enc bitrate=2048 tune=zerolatency preset=veryfast ! rtph264pay name=pay0 pt=96 config-interval=1"
     

4. Testing Stream Retrieval:

   • Use VLC or another RTSP client to test stream retrieval:

     vlc rtsp://192.168.0.12:8554/test
     

5. Python Implementation:

   • If using Python for stream handling, ensure that the pipeline is defined correctly:

     import cv2
     
     def gstreamer_pipeline():
         return (
             "rtspsrc location=rtsp://192.168.0.12:8554/test protocols=udp latency=100 ! "
             "rtph264depay ! h264parse ! nvv4l2decoder ! videoconvert ! appsink"
         )
     
     def show_camera():
         cap = cv2.VideoCapture(gstreamer_pipeline(), cv2.CAP_GSTREAMER)
         if not cap.isOpened():
             print("Unable to open camera...")
             exit()
     
         while True:
             ret, frame = cap.read()
             if not ret:
                 print("Err: unable to read frame...")
                 exit()
             cv2.imshow("Camera", frame)
             if cv2.waitKey(10) & 0xFF == 27:
                 break
     
         cap.release()
         cv2.destroyAllWindows()
     
     if __name__ == "__main__":
         show_camera()
     

6. Adjusting Video Formats:

   • Ensure that formats sent to appsink are compatible; test different formats if issues persist.

7. Check for Updates:

   • Regularly check for updates on JetPack and GStreamer libraries that might resolve existing bugs.

8. Consult Documentation and Community Support:

   • Refer to Nvidia’s developer documentation and community forums for additional insights and updates related to known issues.

9. Best Practices for Future Prevention:

   • Keep software and drivers updated.
   • Validate configurations before executing complex commands.
   • Test components individually before integrating them into larger systems.

If issues persist after following these steps, further investigation may be required into specific hardware configurations or software environments unique to each user’s setup.