Hey Guys,
I’m trying to run the yolov3 on deepstream. Input source is an ip camera, output sink is rtsp.
Deepstream app displays following the cli. But I don’t see any rtsp output rendered on vlc or mplayer, it just goes blank (though the runtime seconds in the player keeps increasing) or pulls up the output video stream for 1 or 2 seconds completely pixelated and then goes back to blank for couple of mins . It seems fine if I save the output to a file. Issue is viewing the output live. It’s same for other object detection models.
Parts of output displayed on deepstream:
RTSP info:
*** DeepStream: Launched RTSP Streaming at rtsp://localhost:8554/ds-test ***
Performance info:
**PERF: 29.92 (30.26)
**PERF: 30.04 (30.22)
**PERF: 29.98 (30.19)
Server configuration:
GPU : T4
CPU : Intel(R) Xeon(R) Gold 6240C (72 cores)
OS Distribution : Ubuntu 18.04
CUDA version: 10.2
Nvidia Driver version: 440.33.01
Deepstream container version: deepstream:4.0.2-19.2-devel
IP Camera config:
Resolution : 1920*1080P
Frame rate: 30 fps
Max. Bitrate : 8192 Kbps
Video Encoding: H.264
Deepstream config file:
[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
type=3
uri=rtsp://username:password@ipaddress
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
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=2
sync=0
#iframeinterval=10
bitrate=8192000
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=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=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
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=model_b1_fp32.engine
labelfile-path=labels.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
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_yoloV3.txt
[tests]
file-loop=0