• Hardware Platform: Jetson Xavier NX Module
• DeepStream Version 5.0
• JetPack Version 4.4. [L4T 32.4.3]
• TensorRT Version 7.1.3.0
Error while executing Python deepstream-imagedata-multistream with 20 different streams (RTSP ip cameras). The program works well for 20m up to 2h, after that crash with this error:
Warning: gst-resource-error-quark: Could not read from resource. (9): gstrtspsrc.c(5293): gst_rtspsrc_loop_udp (): /GstPipeline:pipeline0/GstBin:source-bin-03/GstURIDecodeBin:uri-decode-bin/GstRTSPSrc:source:
Unhandled return value -7.
Error: gst-resource-error-quark: Could not read from resource. (9): gstrtspsrc.c(5361): gst_rtspsrc_loop_udp (): /GstPipeline:pipeline0/GstBin:source-bin-03/GstURIDecodeBin:uri-decode-bin/GstRTSPSrc:source:
Could not receive message. (System error)
Exiting app
This is my config file:
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel
proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt
model-engine-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
labelfile-path=../../../../samples/models/Primary_Detector/labels.txt
int8-calib-file=../../../../samples/models/Primary_Detector/cal_trt.bin
force-implicit-batch-dim=1
batch-size=20
process-mode=1
model-color-format=0
network-mode=1
num-detected-classes=4
interval=0
gie-unique-id=1
output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid
#0=Group Rectangles, 1=DBSCAN, 2=NMS, 3 = None(No clustering)
cluster-mode=1
[class-attrs-all]
threshold=0.2
eps=0.7
minBoxes=1
#Use the config params below for dbscan clustering mode
[class-attrs-all]
detected-min-w=4
detected-min-h=4
minBoxes=3
[class-attrs-0]
pre-cluster-threshold=0.05
eps=0.7
dbscan-min-score=0.95
[class-attrs-1]
pre-cluster-threshold=0.05
eps=0.7
dbscan-min-score=0.5
[class-attrs-2]
pre-cluster-threshold=0.1
eps=0.6
dbscan-min-score=0.95
...
Edit2: After 30m of testing with 16 streams and changing the batch-size to 16 , I realize that the video I see is 10m in the past