Deepstream-rtsp-in-rtsp-out : VLC is unable to open the MRL ‘rtsp://192.168.10.138:8554/ds-test’

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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1

Please provide complete information as applicable to your setup.
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) nano
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only) 6.0
• TensorRT Version 8.6.2.3-1+cuda12.2
• NVIDIA GPU Driver Version (valid for GPU only) NVIDIA-SMI 540.2.0
• Issue Type( questions, new requirements, bugs)

When I run :

python3 deepstream_test1_rtsp_in_rtsp_out.py -i file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4 -g nvinfer

Code is running, but unable to see output.

Log is here:
log-0903.txt (18.4 KB)

gst-launch-1.0 rtspsrc location=rtsp://192.168.10.138:8554/ds-test ! decodebin ! autovideosink
Setting pipeline to PAUSED …
Pipeline is live and does not need PREROLL …
Progress: (open) Opening Stream
Pipeline is PREROLLED …
Prerolled, waiting for progress to finish…
Progress: (connect) Connecting to rtsp://192.168.10.139:8554/ds-test
ERROR: from element /GstPipeline:pipeline0/GstRTSPSrc:rtspsrc0: Could not open resource for reading and writing.
Additional debug info:
…/gst/rtsp/gstrtspsrc.c(8130): gst_rtspsrc_retrieve_sdp (): /GstPipeline:pipeline0/GstRTSPSrc:rtspsrc0:
Failed to connect. (Generic error)
ERROR: pipeline doesn’t want to preroll.
Setting pipeline to NULL …
Freeing pipeline …

3

Deepstream use hardware decoder as default. so autovideosink can’t negotiate with decodebin 

gst-launch-1.0 uridecodebin uri=rtsp://xxxx:8554/ds-test ! nv3dsink

Or

gst-launch-1.0 rtspsrc location=rtsp://10.19.226.209:8554/ds-test ! decodebin ! nv3dsink
4

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

5

Problem Unsolved. Thank you. Due to time constraints, I was unable to continue working on that topic. While following the instructions in this NVIDIA Developer Forum post, I encountered a Docker error that caused me to crash my jetson device and lose all my data.