Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
Jetson NX
• DeepStream Version
6.0.0
• JetPack Version (valid for Jetson only)
4.6
r32.6.1
• TensorRT Version
TensorRT v8001
• Issue Type( questions, new requirements, bugs)
Bug
• 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)
run deepstream-app in docker, using yolov8 model from ultralytics and GitHub - marcoslucianops/DeepStream-Yolo: NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
The .mp4 output doesn’t save properly - there’s data in it but it doesnt open in vlc:
ffprobe output.mp4
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5578f0af10] moov atom not found
Configs:
[property]
gpu-id=0
onnx-file=/models/yolov8_optical.onnx
model-engine-file=/models/yolov8_optical_kxm.engine
batch-size=1
gie-unique-id=1
maintain-aspect-ratio=0
symmetric-padding=0
network-mode=2
process-mode=1
network-type=0
interval=4
engine-create-func-name=NvDsInferYoloCudaEngineGet
from models.json
net-scale-factor=0.003921569790691137
labelfile-path=/labels/coco.txt
num-detected-classes=80
cluster-mode=2
parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=/DeepStream-Yolo/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
model-color-format=0
[class-attrs-all]
topk=20
nms-iou-threshold=0.5
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0
from models.json
cluster-threshold=0.25
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
output display details
[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
mp4 video source
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=2
uri=file:///videos-test/RowdenCarpark2.mp4
num-sources=1
gpu-id=0
cudadec-memtype=0
source-id=0
camera-width=1280
camera-height=720
rtsp video source
[source1]
enable=0
type=4
uri=None
cudadec-memtype=0
source-id=0
rtsp video out
[sink0]
enable=1
#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
sync=0
bitrate=2500000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
set below properties in case of RTSPStreaming
rtsp-port=8556
udp-port=5400
#source-id=0
qos=0
mp4 out
[sink1]
enable=1
type=3
#1=mp4 2=mkv
container=1
enc-type=1
#1=h264 2=h265 3=mpeg4
only SW mpeg4 is supported right now.
codec=1
sync=0
bitrate=2500000
profile=0
output-file=/videos-output/25092023_132119/RowdenCarpark2.mp4
source-id=0
qos=0
on screen display
[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
stream mux - forms batches of frames from multiple input sources
[streammux]
gpu-id=0
sync-inputs=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=33333
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
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
primary gpu inference engine (model)
[primary-gie]
enable=1
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;1;1;1
bbox-border-color3=0;1;0;1
nvbuf-memory-type=0
config-file=/models_configs/base_detector_copy.txt
[tracker]
enable=1
For NvDCF and DeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=320
tracker-height=256
ll-lib-file=/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_nvmultiobjecttracker.so
ll-config-file required to set different tracker types
ll-config-file=/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/config_tracker_IOU.yml
ll-config-file=/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
ll-config-file=/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
ll-config-file=/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/config_tracker_DeepSORT.yml
gpu-id=0
enable-batch-process=1
enable-past-frame=1
display-tracking-id=1
secondary gpu inference engine (model)
[secondary-gie]
enable=0
gpu-id=0
batch-size=1
0=FP32, 1=INT8, 2=FP16 mode
nvbuf-memory-type=0
config-file=/models_configs/base_classifier_copy.txt
gie-unique-id=2
operate-on-gie-id=1
[tests]
file-loop=0
[property]
gpu-id=0
onnx-file=/models/yolov8_optical.onnx
model-engine-file=/models/yolov8_optical_kxm.engine
batch-size=1
gie-unique-id=1
maintain-aspect-ratio=0
symmetric-padding=0
network-mode=2
process-mode=1
network-type=0
interval=4
engine-create-func-name=NvDsInferYoloCudaEngineGet
from models.json
net-scale-factor=0.003921569790691137
labelfile-path=/labels/coco.txt
num-detected-classes=80
cluster-mode=2
parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=/DeepStream-Yolo/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
model-color-format=0
[class-attrs-all]
topk=20
nms-iou-threshold=0.5
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0
pre-cluster-threshold=0.25