Unable to get track id when using yoloface as secondary gie

[muzair1103]

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: ;;<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: 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