Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) P1000
• DeepStream Version v6.1
• JetPack Version (valid for Jetson only) Not Applicable
• TensorRT Version 8.2.5-1+cuda11.4
• NVIDIA GPU Driver Version (valid for G PU only) (NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Hi Team,
After referring deepstream-test3
from python apps, I have implemented the nvurisrcbin
as the source bin. I have updated the following properties to run the application using Cuda memory.
uri_decode_bin.set_property("cudadec-memtype", 0)
streammux.set_property("nvbuf-memory-type", int(pyds.NVBUF_MEM_CUDA_DEVICE))
After implementing and changing/adding these two properties to source_bin, I’m able to run the application properly.
After this, I wanted to implement the rtsp-reconnect-interval
property in the source bin as mentioned in the plugin gst-inspect, I tried setting the value to 3 sec. Adding this property, I’m not able to connect to stream right after I start the application. If I remove this property application works properly.
Please refer following error messege I got after adding rtsp-reconnect-interval
property.
-
Warning: gst-stream-error-quark: No data from source rtsp:/___________________ since last 3 sec. Trying reconnection (1): gstdsnvurisrcbin.cpp(1232): watch_source_status (): /GstPipeline:pipeline0/GstBin:source-bin-00/GstDsNvUriSrcBin:uri-decode-bin
-
Warning: gst-resource-error-quark: Could not open resource for reading and writing. (7): gstrtspsrc.c(7871): gst_rtspsrc_retrieve_sdp (): /GstPipeline:pipeline0/GstBin:source-bin-00/GstDsNvUriSrcBin:uri-decode-bin/GstRTSPSrc:src:
Same thing I have observed in deepstream-test3-app
, for reference I’m using the source uri as rtsp://____________
as input source.
cmd used for deepstream-test3 :- python3 deepstream_test_3.py -i rtsp://_________________ --no-display