I want to use yolov8 in deepstream-server , but failed

[940655439]

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson AGX
• DeepStream Version 7.0
**• JetPack Version (valid for Jetson only) 6.0 GA
**• TensorRT Version 8.6
**• NVIDIA GPU Driver Version (valid for GPU only) 540.3.0
**• Issue Type( questions, new requirements, bugs) questions
• 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)

I want to use yolov8 in deepstream-server , but failed I use yolov8 onnx ,but inputting jtop show picture below.how did I analysis this problem from which aspect?

[fanzh]

how do you know the app failed? please refer to this ready-made yolov8 sample.

[940655439]

Sorry . The main aspect is forgetted.
I want to use yolov8 in deepstream-server in DLA but DLA0 and DLA1 is off
The config file is below

I [property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
onnx-file=/home/flsay/debug/jetson-ds-person/yolov8s/yolov8s.onnx
model-engine-file=/home/flsay/debug/jetson-ds-person/yolov8s/model_b8_gpu0_fp16.engine
#int8-calib-file=calib.table
labelfile-path=/home/flsay/debug/jetson-ds-person/yolov8s/labels.txt
batch-size=8
network-mode=2
num-detected-classes=80
interval=0
gie-unique-id=1
process-mode=1
#network-type=0
cluster-mode=2
maintain-aspect-ratio=1
symmetric-padding=1
#workspace-size=2000
parse-bbox-func-name=NvDsInferParseYolo
#parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=/home/flsay/debug/DeepStream-Yolo/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet

[class-attrs-all]
nms-iou-threshold=0.45
pre-cluster-threshold=0.25
topk=300

[fanzh]

please refer to this topic. please make sure enable-dla and use-dla-core are set. please find these parameters in this link for the explanation.

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[yingliu]

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks