Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
Thu Aug 29 11:52:58 2024
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| NVIDIA-SMI 560.28.03 Driver Version: 560.28.03 CUDA Version: 12.6 |
|-----------------------------------------±-----------------------±---------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4060 … Off | 00000000:01:00.0 On | N/A |
| N/A 44C P8 4W / 80W | 64MiB / 8188MiB | 33% Default |
| | | N/A |
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| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 2224 G /usr/lib/xorg/Xorg 53MiB |
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• DeepStream Version 7.0-triton-multiarch
We are encountering an issue where, when both the primary and secondary are configured as detectors, the tracking by the secondary is not accurate and does not align correctly with the primary detector.
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: 1
rows: 1
columns: 2
width: 1280
height: 720
gpu-id: 0
nvbuf-memory-type: 0
source:
#csv-file-path: sources_rtsp.csv
csv-file-path: sources_4.csv
sink0:
enable: 0
#Type - 1=FakeSink 2=EglSink 3=File
type: 1
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=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: 1
#(0): Create payload using NvdsEventMsgMeta
#(1): New Api to create payload using NvDsFrameMeta
msg-conv-msg2p-new-api: 1
#Frame interval at which payload is generated
msg-conv-frame-interval: 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: ;;
#topic:
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: 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.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: 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
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.yml
#infer-raw-output-dir: …/…/…/…/…/samples/primary_detector_raw_output/
config-file: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_deepstream-test5-V1/models/config_infer_primary_yoloV8_face.txt
config-file: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_deepstream-test5-V1/models/config_infer_primary.yml
tracker:
enable: 1
For NvDCF and NvDeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width: 640
tracker-height: 384
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
enable-batch-process: 1
enable-past-frame: 1
display-tracking-id: 1
secondary-gie0:
enable: 0
gpu-id: 0
gie-unique-id: 2
operate-on-gie-id: 1
operate-on-class-ids: 0
batch-size: 1
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.caffemodel_b16_gpu0_int8.engine
config-file: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_deepstream-test5-V1/models/config_infer_primary_yoloV8_face.txt
secondary-gie1:
enable: 0
gpu-id: 0
gie-unique-id: 5
operate-on-gie-id: 1
operate-on-class-ids: 0
batch-size: 1
config-file: /opt/nvidia/deepstream/deepstream-7.0/sources/apps/sample_apps/kadada_deepstream-test5-V1/models/arcface_sgie3_config.txt
config-file: …/…/…/…/…/samples/configs/deepstream-app/config_infer_secondary_carcolor.yml
labelfile-path: …/…/…/…/…/samples/models/Secondary_CarColor/labels.txt
model-engine-file: …/…/…/…/…/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_gpu0_int8.engine
secondary-gie2:
enable: 0
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.yml
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