Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Jeston
• DeepStream Version 5.0.1
• JetPack Version (valid for Jetson only)
• TensorRT Version 7.0
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
this is my config file: primary-gie:detection, sgie0:cls, sgie1:seg
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=1
rows=1
columns=1
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
type=2
#uri=file:/home/nvidia/yolov5-in-deepstream/Deepstream-5.0/test.h264
#uri=rtsp://172.16.104.168/0
uri=file:/home/nvidia/yolov5-in-deepstream/Deepstream-5.0/all.mp4
#uri=file:/home/nvidia/Documents/5-Materials/Videos/0825.avi
num-sources=1
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
camera-v4l2-dev-node=1
camera-width=1920
camera-height=1080
#drop-frame-interval=1
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=2
sync=0
source-id=0
gpu-id=0
nvbuf-memory-type=0
#1=mp4 2=mkv
#container=1
#1=h264 2=h265
#codec=1
#output-file=yolov5.mp4
#rtsp-port=8553
#iframeinterval=1
#enc-type=0
[osd]
enable=1
gpu-id=0
border-width=2
text-size=12
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
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=1280
height=720
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
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=yolov5s-2.engine
labelfile-path=labels2.txt
#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
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_yoloV5.txt
[secondary-gie0]
enable=1
gpu-id=0
gie-unique-id=2
operate-on-gie-id=1
nvbuf-memory-type=0
config-file=config_infer_thy_cls.txt
[secondary-gie1]
enable=1
gpu-id=0
gie-unique-id=3
operate-on-gie-id=1
nvbuf-memory-type=0
config-file=config_infer_thy_seg.txt
[tracker]
enable=1
tracker-width=512
tracker-height=320
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so
[tests]
file-loop=1
