How to run RTSP Camera in deepstream on Jetson Nano

Hello.

Please help me see what the problem is.
This is an error message.

** INFO: <bus_callback:163>: Pipeline ready

ERROR from src_elem0: Unauthorized
Debug info: gstrtspsrc.c(6116): gst_rtspsrc_send (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstRTSPSrc:src_elem0:
Unauthorized (401)
Reset source pipeline reset_source_pipeline 0x7f55018080
,ERROR from src_elem0: Unauthorized
Debug info: gstrtspsrc.c(6116): gst_rtspsrc_send (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstRTSPSrc:src_elem0:
Unauthorized (401)

**PERF: FPS 0 (Avg)
**PERF: 0.00 (0.00)
**PERF: 0.00 (0.00)

This is my configuration file.

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and proprietary rights in and to this software, related documentation

and any modifications thereto. Any use, reproduction, disclosure or

distribution of this software and related documentation without an express

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[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl

[tiled-display]
enable=1
rows=1
columns=1
width=1920
height=1080
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0

[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=4
#uri=file://…/…/streams/sample_1080p_h265.mp4
uri=rtsp://admin:Thundersoft@10.0.36.222:554
num-sources=1
#drop-frame-interval=2
gpu-id=0

(0): memtype_device - Memory type Device

(1): memtype_pinned - Memory type Host Pinned

(2): memtype_unified - Memory type Unified

cudadec-memtype=0

[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=5
sync=1
source-id=0
gpu-id=0
qos=0
nvbuf-memory-type=0
overlay-id=1

[sink1]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
sync=0
#iframeinterval=10
bitrate=2000000
output-file=out.mp4
source-id=0

[sink2]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=1
sync=0
bitrate=4000000

set below properties in case of RTSPStreaming

rtsp-port=8554
udp-port=5400

[osd]
enable=1
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Serif
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

[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=1
batch-size=2
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=40000

Set muxer output width and height

width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0

config-file property is mandatory for any gie section.

Other properties are optional and if set will override the properties set in

the infer config file.

[primary-gie]
enable=1
gpu-id=0
model-engine-file=…/…/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine
batch-size=1
#Required by the app for OSD, not a plugin property
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;0;1;1
bbox-border-color3=0;1;0;1
interval=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_nano.txt

[tracker]
enable=0
tracker-width=480
tracker-height=272
#ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_iou.so
ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so
#ll-config-file required for IOU only
#ll-config-file=iou_config.txt
gpu-id=0

[tests]
file-loop=0

Hello,

I have same problem>

any solution ?

Best Regards,

Laurent

this solved the problem, I did not see that the topic was already discussed

[url]https://devtalk.nvidia.com/default/topic/1058086/deepstream-sdk/how-to-run-rtp-camera-in-deepstream-on-nano/post/5369676/#5369676[/url]

Hi,Laurent

thanks very much.