Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Jetson AGX • DeepStream Version 7.0
**• JetPack Version (valid for Jetson only) 6.0 GA
**• TensorRT Version 8.6
**• NVIDIA GPU Driver Version (valid for GPU only) 540.3.0
**• Issue Type( questions, new requirements, bugs) questions • 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)
The deepstream-server use rest api after adding streaming I find the deepstream-server not to infer
the picture is below
The config file is below
multiurisrcbin: #comma separated uri (no semicolon at the end). For ex- uri1,uri2,uriN #parsed inside nvmultiurisrcbin #uri-list: rtsp://admin:a12345678@192.168.31.9/Streaming/Channels/1
uri-list: “”
port: 9000
live-source: 1
width: 1920
height: 1080
batched-push-timeout: 33333
max-batch-size: 1 #To simulate nvvideoconvert specific REST APIs change disable-passthrough: 1
disable-passthrough: 1
drop-pipeline-eos: 1 enable rtsp reconnections properties for rtsp source(s). #rtsp-reconnect-interval: 5 #rtsp-reconnect-attempts: 3 #To demonstrate the new nvstreammux config-file usage
config-file-path: config_new_nvstreammux.txt’
But I config uri-list with rtsp://admin:a12345678@192.168.31.9/Streaming/Channels/1
The programe can work
The fromat of your rtsp source may not be supported by the hardware decoder, or the I-frame interval may be too large. Could you configure some parameters of your rtsp source to change the I-frame interval?
About this issue, I tried that on my Jetson Orin with our deepstream-server demo. It is inferred normally when I add the source. Are you using our demo test?
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