I’m trying to implement yoloface as my secondary gie, I’m getting random track ids for it.

Below is the config file
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application:
enable-perf-measurement: 1
perf-measurement-interval-sec: 5
#gie-kitti-output-dir: streamscl

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

source:
csv-file-path: sources_4.csv

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

sink1:
enable: 0
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvdrmvideosink 6=MsgConvBroker
type: 6
msg-conv-config: dstest5_msgconv_sample_config.yml
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(2): PAYLOAD_DEEPSTREAM_PROTOBUF - Deepstream schema protobuf encoded payload
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM - Custom schema payload
msg-conv-payload-type: 0
#(0): Create payload using NvdsEventMsgMeta
#(1): New Api to create payload using NvDsFrameMeta
msg-conv-msg2p-new-api: 0
#Frame interval at which payload is generated
msg-conv-frame-interval: 30
#To enable dummy payload
#msg-conv-dummy-payload=1
msg-broker-proto-lib: /opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str: localhost;9092;
topic: quickstart-events
#Optional:
#msg-broker-config: /opt/nvidia/deepstream/deepstream/sources/libs/kafka_protocol_adaptor/cfg_kafka.txt
#new-api: 0
#(0) Use message adapter library api's
#(1) Use new msgbroker library api's

sink2:
enable: 1
type: 2
#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.yml
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(2): PAYLOAD_DEEPSTREAM_PROTOBUF - Deepstream schema protobuf encoded payload
#(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:

Id of component in case only selected message to parse.

#msg-conv-comp-id:

Configure this group to enable cloud message consumer.

message-consumer0:
enable: 0
proto-lib: /opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
conn-str: ;
config-file: /opt/nvidia/deepstream/deepstream/sources/libs/kafka_protocol_adaptor/cfg_kafka.txt
subscribe-topic-list: ;;

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: 0
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 # Red for class 0
bbox-border-color1: 0;1;0;1 # Green for class 1
bbox-border-color2: 0;0;1;1 # Blue for class 2
bbox-border-color3: 1;1;0;1 # Yellow for class 3
bbox-border-color4: 1;0;1;1 # Magenta for class 4
bbox-border-color5: 0;1;1;1 # Cyan for class 5
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: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_cpp/people_classification_final.onnx_b1_gpu0_fp16.engine
#labelfile-path: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_cpp/labels.txt
config-file: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_cpp/config_infer_primary.yml
#infer-raw-output-dir: ../../../../../samples/primary_detector_raw_output/

tracker:
enable: 0

For NvDCF and NvDeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively

tracker-width: 960
tracker-height: 544
ll-lib-file: /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so

ll-config-file required to set different tracker types

ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_IOU.yml

ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_NvSORT.yml

ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml

ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml

ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_NvDeepSORT.yml

gpu-id: 0
display-tracking-id: 1

secondary-gie0:
enable: 0
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.yml
labelfile-path: ../../../../../samples/models/Secondary_VehicleTypes/labels.txt
model-engine-file: ../../../../../samples/models/Secondary_VehicleTypes/resnet18_vehicletypenet.etlt_b16_gpu0_int8.engine

secondary-gie1:
enable: 0
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_vehiclemake.yml
labelfile-path: ../../../../../samples/models/Secondary_VehicleMake/labels.txt
model-engine-file: ../../../../../samples/models/Secondary_VehicleMake/resnet18_vehiclemakenet.etlt_b16_gpu0_int8.engine

tests:
file-loop: 0