I have reinstalled every thing with DeepStream 6.4.
And as you said, tested with config_tracker_NvDCF_accuracy.yml.
the result is still same.
Result Video
Note that,
My command is
deepstream-app -c deepstream_app_config.txt
I used default “samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml”
and other configs are below.
/opt/nvidia/deepstream/deepstream-6.4/samples/configs/deepstream-app/deepstream_app_config.txt
[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
#(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=3
uri=file:///home/chanwoong/Resources/video/etc/reid_01.avi
num-sources=1
#drop-frame-interval=2
gpu-id=0
# (0): memtype_device - Memory type Device
# (1): memtype_pinned - Memory type Host Pinned
# (2): memtype_unified - Memory type Unified
cudadec-memtype=0
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink/nv3dsink (Jetson only) 3=File
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=0
sync=0
#iframeinterval=10
bitrate=2000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
# set profile only for hw encoder, sw encoder selects profile based on sw-preset
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=0
#sw-preset=1 #for SW enc=(0)None (1)ultrafast (2)superfast (3)veryfast (4)faster
#(5)fast (6)medium (7)slow (8)slower (9)veryslow (10)placebo
sync=0
#iframeinterval=10
bitrate=400000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
# set profile only for hw encoder, sw encoder selects profile based on sw-preset
profile=0
# set below properties in case of RTSPStreaming
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=1
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=4
batch-size=4
##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
model-engine-file=../../models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
batch-size=4
#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
gie-unique-id=1
nvbuf-memory-type=0
#config-file=config_infer_primary.txt
config-file=config_infer_primary_PeopleNet.txt
[tracker]
enable=1
# 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=config_tracker_IOU.yml
# ll-config-file=config_tracker_NvSORT.yml
# ll-config-file=config_tracker_NvDCF_perf.yml
ll-config-file=config_tracker_NvDCF_accuracy.yml
# ll-config-file=config_tracker_NvDeepSORT.yml
gpu-id=0
display-tracking-id=1
[tests]
file-loop=1
/opt/nvidia/deepstream/deepstream-6.4/samples/configs/deepstream-app/config_infer_primary_PeopleNet.txt
[property]
## model-specific params. The paths will be different if the user sets up in different directory.
int8-calib-file=../../models/peoplenet/resnet34_peoplenet_int8.txt
labelfile-path=../../models/peoplenet/labels.txt
tlt-encoded-model=../../models/peoplenet/resnet34_peoplenet_int8.etlt
tlt-model-key=tlt_encode
gpu-id=0
net-scale-factor=0.0039215697906911373
input-dims=3;544;960;0
uff-input-blob-name=input_1
process-mode=1
model-color-format=0
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=3
interval=0
gie-unique-id=1
output-blob-names=output_cov/Sigmoid;output_bbox/BiasAdd
## 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
cluster-mode=3
maintain-aspect-ratio=1
[class-attrs-all]
pre-cluster-threshold=0.1429
nms-iou-threshold=0.4688
minBoxes=3
dbscan-min-score=0.7726
eps=0.2538
detected-min-w=20
detected-min-h=20