test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt (8.8 KB)
I am sharing the config file
[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://foo.com/stream1.mp4
#uri=file:/opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_1080p_h265.mp4
#uri=file:/opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_720p.mp4
uri = file:/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/videos/stream_piece_20_163.mp4
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
smart record cache size in seconds
#smart-rec-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://foo.com/stream2.mp4
uri=file:/opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_720p.mp4
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
smart record cache size in seconds
#smart-rec-cache
[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=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvdrmvideosink 6=MsgConvBroker
type=6
msg-conv-config=configs/dstest5_msgconv_sample_config.txt
#(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=0
#Frame interval at which payload is generated
msg-conv-frame-interval=30
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
#msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream-6.2/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
#msg-broker-conn-str=;;
#topic=
msg-broker-conn-str=192.168.29.17;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=4
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
only SW mpeg4 is supported right now.
codec=1
sync=0
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
#(2): PAYLOAD_DEEPSTREAM_PROTOBUF - Deepstream schema protobuf 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=2
#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=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Primarydetector/model_b2_gpu0_fp16.engine
labelfile-path=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Primarydetector/rac_primary_labels.txt
config-file=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Primarydetector/config_infer_primary_rac.txt
#infer-raw-output-dir=…/…/…/…/…/samples/primary_detector_raw_output/
[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=1
gpu-id=0
gie-unique-id=4
operate-on-gie-id=1
#operate-on-class-ids=2;
batch-size=16
model-engine-file=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Secondarydetector/model_b16_gpu0_fp16.engine
labelfile-path=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Secondarydetector/rac_secondary_labels.txt
config-file=/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test5/Secondarydetector/config_infer_secondary_rac.txt
[tests]
file-loop=1