Is it possible to use a Dahua IP camera with nvidia Deepstream?

Hi,
Please chck if you can run the config file( overwrtie default test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt ) with kafkaserver:

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

[tiled-display]
enable=1
rows=1
columns=1
width=1280
height=720
gpu-id=0
nvbuf-memory-type=0

[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://10.19.107.93:8554/test
num-sources=1
gpu-id=0
nvbuf-memory-type=0
# smart record specific fields, valid only for source type=4
# 0 = disable, 1 = through cloud events, 2 = through cloud + local events
#smart-record=1
# 0 = mp4, 1 = mkv
#smart-rec-container=0
#smart-rec-file-prefix
#smart-rec-dir-path
# video cache size in seconds
#smart-rec-video-cache
# default duration of recording in seconds.
#smart-rec-default-duration
# duration of recording in seconds.
# this will override default value.
#smart-rec-duration
# seconds before the current time to start recording.
#smart-rec-start-time
# value in seconds to dump video stream.
#smart-rec-interval

[source1]
enable=0
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://10.19.107.93:8554/test
num-sources=1
gpu-id=0
nvbuf-memory-type=0
# smart record specific fields, valid only for source type=4
# 0 = disable, 1 = through cloud events, 2 = through cloud + local events
#smart-record=1
# 0 = mp4, 1 = mkv
#smart-rec-container=0
#smart-rec-file-prefix
#smart-rec-dir-path
# video cache size in seconds
#smart-rec-video-cache

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

[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=10.19.107.87;6789
topic=metromind-start
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt
#new-api=0
#(0) Use message adapter library api's
#(1) Use new msgbroker library api's

[sink2]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
## only SW mpeg4 is supported right now.
codec=3
sync=1
bitrate=2000000
output-file=out.mp4
source-id=0

# sink type = 6 by default creates msg converter + broker.
# To use multiple brokers use this group for converter and use
# sink type = 6 with disable-msgconv = 1
[message-converter]
enable=0
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
# Name of library having custom implementation.
#msg-conv-msg2p-lib=<val>
# Id of component in case only selected message to parse.
#msg-conv-comp-id=<val>

# Configure this group to enable cloud message consumer.
[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
conn-str=<host>;<port>
config-file=<broker config file e.g. cfg_kafka.txt>
subscribe-topic-list=<topic1>;<topic2>;<topicN>
# Use this option if message has sensor name as id instead of index (0,1,2 etc.).
#sensor-list-file=dstest5_msgconv_sample_config.txt

[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=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

[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=1
batch-size=1
##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
## 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

# 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
#Required to display the PGIE labels, should be added even when using config-file
#property
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
#Required by the app for SGIE, when used along with config-file property
gie-unique-id=1
nvbuf-memory-type=0
model-engine-file=../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b2_gpu0_int8.engine
labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt
config-file=../../../../../samples/configs/deepstream-app/config_infer_primary.txt
#infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/


[tracker]
enable=1
tracker-width=600
tracker-height=288
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
#ll-config-file=tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process applicable to DCF only
enable-batch-process=0

[secondary-gie0]
enable=1
gpu-id=0
gie-unique-id=4
operate-on-gie-id=1
operate-on-class-ids=0;
batch-size=16
config-file=../../../../../samples/configs/deepstream-app/config_infer_secondary_vehicletypes.txt
labelfile-path=../../../../../samples/models/Secondary_VehicleTypes/labels.txt
model-engine-file=../../../../../samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_gpu0_int8.engine

[secondary-gie1]
enable=1
gpu-id=0
gie-unique-id=5
operate-on-gie-id=1
operate-on-class-ids=0;
batch-size=16
config-file=../../../../../samples/configs/deepstream-app/config_infer_secondary_carcolor.txt
labelfile-path=../../../../../samples/models/Secondary_CarColor/labels.txt
model-engine-file=../../../../../samples/models/Secondary_CarColor/resnet18.caffemodel_b16_gpu0_int8.engine

[secondary-gie2]
enable=1
gpu-id=0
gie-unique-id=6
operate-on-gie-id=1
operate-on-class-ids=0;
batch-size=16
config-file=../../../../../samples/configs/deepstream-app/config_infer_secondary_carmake.txt
labelfile-path=../../../../../samples/models/Secondary_CarMake/labels.txt
model-engine-file=../../../../../samples/models/Secondary_CarMake/resnet18.caffemodel_b16_gpu0_int8.engine

[tests]
file-loop=0

You would need to modify the lines in [source0] per your IP camera:

#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=rtsp://10.19.107.93:8554/test

and IP address of kafka server in [sink1]:

msg-broker-conn-str=10.19.107.87;6789

We set up the server by executing step 1 and 2 in:

// modify IP_Address:Port in config/serer.properties before executing step 2
listeners = PLAINTEXT://10.19.107.87:6789