Can anyone share some of use `nvmultiurisrcbin` python project

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 7.1 Docker

There isn’t much information online, and I read the documentation many times, still dont know how to write it.
need to multi rtsp in and multi rtsp out streams

3

You may refer to /opt/nvidia/deepstream/deepstream/service-maker/sources/apps/python/pipeline_api/deepstream_test5_app

1 Like
4

command

python3 deepstream_test5.py -c test5_b16_dynamic_source.yaml -s source_list_dynamic.yaml

log

UniqueSensorId2[UniqueSensorName2] 9.33 (9.33)	UniqueSensorId1[UniqueSensorName1] 10.22 (9.33)	

(python3:51123): GStreamer-WARNING **: 06:55:59.073: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder1:sink> Got data flow before segment event

(python3:51123): GStreamer-WARNING **: 06:55:59.162: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder1:sink> Got data flow before segment event

(python3:51123): GStreamer-WARNING **: 06:55:59.857: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder0:sink> Got data flow before segment event
Active sources : 2
Fri Nov 15 06:56:00 2024
**PERF:  
UniqueSensorId2[UniqueSensorName2] 9.59 (9.34)	UniqueSensorId1[UniqueSensorName1] 9.60 (9.34)	

(python3:51123): GStreamer-WARNING **: 06:56:00.294: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder0:sink> Got data flow before segment event

(python3:51123): GStreamer-WARNING **: 06:56:00.900: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder1:sink> Got data flow before segment event
Active sources : 2
Fri Nov 15 06:56:01 2024
**PERF:  
UniqueSensorId2[UniqueSensorName2] 9.38 (9.33)	UniqueSensorId1[UniqueSensorName1] 9.56 (9.35)	

(python3:51123): GStreamer-WARNING **: 06:56:01.247: ../gst/gstpad.c:4416:gst_pad_chain_data_unchecked:<nvv4l2decoder0:sink> Got data flow before segment event
Active sources : 2
Fri Nov 15 06:56:02 2024
**PERF:  
UniqueSensorId2[UniqueSensorName2] 9.63 (9.35)	UniqueSensorId1[UniqueSensorName1] 9.63 (9.36)	
Active sources : 2
Fri Nov 15 06:56:03 2024
**PERF:  
UniqueSensorId2[UniqueSensorName2] 9.99 (9.36)	UniqueSensorId1[UniqueSensorName1] 9.99 (9.38)

# gpu    pwr  gtemp  mtemp     sm    mem    enc    dec    jpg    ofa   mclk   pclk  rxpci  txpci 
# Idx      W      C      C      %      %      %      %      %      %    MHz    MHz   MB/s   MB/s 
    0    118     47      -      2      1      0      3      0      0   9501   1695      1      0

PERF value is too low,do you know why?

5

I’ve tried the original “python3 deepstream_test5.py -c test5_b16_dynamic_source.yaml -s source_list_dynamic.yaml” in my device. The FPS is around 29.9. Have you changed anything or done something with the sample?

6

no, I didn’t change anything

how to export deepstream_test5_app pipeline picture use Graphviz?

7

You can set the environment variable to dump the pipeline graph with service maker apps.

export GST_DEBUG_DUMP_DOT_DIR=/the folder for the dot file
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