**• Hardware Platform (GPU) RTX 3060
**• DeepStream Version 7.0
• TensorRT Version
**• NVIDIA GPU Driver Version (valid for GPU only) CUDA12.1
• Issue Type (questions)
I am using back-to-back detectors to set up vehicle detection (primary GIE) along with LPD & LPR (secondary GIE). Is there a way to match the LPR results to the vehicle IDs detected in vehicle detection?
source.txt
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=1
rows=4
columns=2
width=1920
height=1080
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=2
uri=file:/user/config/MB-51Y26CSAGNI.mkv
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 7=nv3dsink (Jetson only)
type=2
sync=1
source-id=0
gpu-id=0
nvbuf-memory-type=0
[sink1]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=1
sync=0
#iframeinterval=10
bitrate=2000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
output-file=out.mp4
source-id=0
[sink2]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=1
sync=0
#iframeinterval=10
bitrate=400000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
rtsp-port=8554
udp-port=5400
[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=Serif
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
buffer-pool-size=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
[primary-gie]
enable=1
gpu-id=0
model-engine-file=/opt/nvidia/deepstream/deepstream-6.1/samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
interval=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=/opt/nvidia/deepstream/deepstream-6.1/samples/configs/deepstream-app/config_infer_primary.txt
[tracker]
enable=1
tracker-width=640
tracker-height=384
#tracker-width=960
#tracker-height=544
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_IOU.yml
ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
#ll-config-file=/chttl/config/ReID/config_tracker_NvDCF_accuracy.yml
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_accuracy_nv.yml
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvDCF_max_perf.yml
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_DeepSORT.yml
#ll-config-file=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_tracker_NvSORT.yml
gpu-id=0
enable-batch-process=1
#enable-past-frame=1
#display-tracking-id=1
[secondary-gie0]
enable=1
#model-engine-file=/opt/nvidia/deepstream/deepstream/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_gpu0_int8.engine
#batch-size=16
gpu-id=0
gie-unique-id=5
operate-on-gie-id=1
operate-on-class-ids=2;5;6;
config-file=/chttl/config/config_infer_secondary_color.txt
[secondary-gie1]
enable=1
model-engine-file=/opt/nvidia/deepstream/deepstream-6.2/samples/configs/deepstream-app/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_b4_gpu0_int8.engine
gpu-id=0
batch-size=4
gie-unique-id=2
operate-on-gie-id=1
#operate-on-class-ids=0;
config-file=/opt/nvidia/deepstream/deepstream-6.2/samples/configs/deepstream-app/lpd_us_config.txt
[secondary-gie2]
enable=1
model-engine-file=/opt/nvidia/deepstream/deepstream-6.2/samples/configs/deepstream-app/LP/LPR/us_lprnet_baseline18_deployable.etlt_b16_gpu0_fp16.engine
batch-size=1
gpu-id=0
gie-unique-id=3
operate-on-gie-id=2
#operate-on-class-ids=0;
config-file=/opt/nvidia/deepstream/deepstream-6.2/samples/configs/deepstream-app/lpr_config_sgie_us.txt
[tests]
file-loop=1
[nvds-analytics]
enable=0
config-file=/chttl/config/config_nvdsanalytics.txt
