Hardware Platform:
GPU NVIDIA L40S
• DeepStream Version:
7.1
• TensorRT Version:
Aligned with DeepStream 7.1 recommendations
• Issue Type:
Questions
• Requirement Details:
Hello,
I am running a DeepStream 7.1 application on Kubernetes with a batch of 20 RTSP camera streams.
The pipeline runs correctly: inference is performed, output streaming continues without interruption, and the application itself seems stable.
However, in the logs I often see the following errors for some cameras (it seems random, not always the same ones):
ERROR from src_elem10: Could not read from resource.
Could not receive message. (Parse error)
ERROR from src_elem10: Internal data stream error.
streaming stopped, reason error (-5)
ERROR from src_elem10: Could not write to resource.
Could not send message. (Parse error)
Despite these errors, the pipeline keeps running and no visible issues appear in the output.
My questions are:
-
What is the root cause of these messages? Are they related to unstable RTSP sources, decoder warnings, or something else?
-
Since processing continues normally, can I safely ignore them, or do they indicate a potential hidden issue?
-
Are there recommended configuration parameters (e.g.
latency,num-retries,rtsp-reconnect-interval-sec) to reduce or suppress these messages?
I attach below the DeepStream configuration I am using for the sources and pipeline.
[source0]
enable=1
type=4
uri=<rtsp>
num-sources=1
latency=200
drop-frame-interval=2
rtsp-reconnect-interval-sec=30
select-rtp-protocol=4
camera-fps-n=15
camera-fps-d=1
... <N sources>
[sourceN]
enable=1
type=4
uri=<rtsp>
num-sources=1
latency=200
drop-frame-interval=2
rtsp-reconnect-interval-sec=30
select-rtp-protocol=4
camera-fps-n=15
camera-fps-d=1
[primary-gie]
enable=1
batch-size=20
gie-unique-id=1
labelfile-path=labels.txt
nvbuf-memory-type=0
config-file=config_infer_primary.txt
[sink0]
enable=1
type=4
sync=0
codec=1
nvbuf-memory-type=0
bitrate=4000000
iframeinterval=10
rtsp-port=8554
udp-port=5555
profile=0
udp-buffer-size=1000000
qos=0
[sink1]
type=6
enable=1
...
[streammux]
live-source=1
batch-size=20
batched-push-timeout=4000
width=960
height=540
enable-padding=1
nvbuf-memory-type=0
attach-sys-ts-as-ntp=0
[osd]
enable=1
border-width=1
text-size=1
text-color=1;1;1;1;
text-bg-color=0.7;0.7;0.7;0.8
font=Arial
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0
[tiled-display]
enable=1
rows=6
columns=6
width=960
height=540
[tracker]
enable=1
tracker-width=320
tracker-height=320
ll-lib-file=../libs/libnvds_nvmultiobjecttracker.so
ll-config-file=config_tracker_NvDCF_accuracy.yml
display-tracking-id=1
[nvds-analytics]
enable=1
config-file=config_nvdsanalytics.txt
Thanks in advance for your support!