Hi,
I am developing an app with Deepstream SDK 6.0 on a computer using a 3060 dGPU card.
Im testing with only one RTSP stream and the RTSP output but the image is very distorted sometimes.
The RTSP camera streaming is configured with a bitrate at its minimum with a 1920x1080 resolution set to 10 FPS.
This is what the streaming output of Deepstream app looks like:
This only happens in the Deepstream output stream.
The configuration I’m running on Docker with deepstream6.0-devel image:
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[ds-example]
enable=1
processing-width=1920
processing-height=1080
session-string=FUNCI
full-frame=0
#batch-size for batch supported optimized plugin
batch-size=1
unique-id=15
gpu-id=0
blur-objects=1
# Supported memory types for blur-objects are 1 and 3
nvbuf-memory-type=3
[source0]
enable=1
type=4
uri=rtsp://xxxxx
drop-frame-interval=0
gpu-id=0
rtsp-reconnect-interval-sec=600
rtsp-reconnect-attempts=-1
cudadec-memtype=0
num-sources=1
camera-fps-n=10
camera-fps-d=1
[streammux]
gpu-id=0
live-source=1
batch-size=1
batched-push-timeout=80000
width=1920
height=1080
enable-padding=0
nvbuf-memory-type=0
## If set to TRUE, system timestamp will be attached as ntp timestamp
## If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
# attach-sys-ts-as-ntp=1
# PRIMARY DETECTOR
[primary-gie]
enable=1
gpu-id=0
model-engine-file=./models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine
batch-size=1
bbox-border-color0=0.6;0.6;1;1
bbox-border-color1=0.6;0.6;1;1
bbox-border-color2=0.8;0.8;0.9;1
bbox-border-color3=0.8;0.8;0.9;1
interval=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=./configs/Primary_Detector/config_infer_primary.txt
# SECONDARY DETECTOR: Faces, License Plates
[secondary-gie0]
enable=1
gpu-id=0
gie-unique-id=2
config-file=./configs/Secondary_FaceDetect/secondary_detector_config.txt
batch-size=1
operate-on-gie-id=1
operate-on-class-ids=0;1;2
[tracker]
enable=1
tracker-width=640
tracker-height=384
ll-lib-file=/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_nvmultiobjecttracker.so
ll-config-file=./configs/Trackers/config_tracker_NvDCF_perf.yml
gpu-id=0
enable-batch-process=1
enable-past-frame=1
display-tracking-id=1
# NVIDIA only
compute-hw=1
[osd]
enable=1
gpu-id=0
border-width=2
text-size=8
text-color=1;1;1;1
text-bg-color=0;0;0;1
font=Serif
show-clock=1
clock-x-offset=5
clock-y-offset=20
clock-color=1;1;1;1
clock-text-size=12
clock-color=0;0;0;1
nvbuf-memory-type=0
[sink0]
enable=1
type=4
codec=1
enc-type=0
sync=0
# Resolutions: 540p = 1500 kpbs, 720p = 4000 kbps, 1080p = 8000 kbps
bitrate=4000000
profile=0
rtsp-port=8554
udp-port=5400
udp-buffer-size=524288
#source-id=0
[sink1]
enable=1
type=6
msg-conv-config=./configs/msgconv_sample_config.txt
msg-conv-payload-type=1
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
# IP of my kafka server
msg-broker-conn-str=xxx.xxx.xxx.xxx;9092;test-topic
topic=test-topic
[tests]
file-loop=0
• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 6.0 (docker image: nvcr.io/nvidia/deepstream:6.0-devel)
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.0.1-1 + CUDA 11.3
• NVIDIA GPU Driver Version (valid for GPU only) 470.129.06