Cannot access memory at address

[ioir123ju]

I have the Segmentation fault with YoloV8.

config file:

[property]
#gpu-id=0
net-scale-factor=0.0039215697906911373
#0=RGB, 1=BGR
model-color-format=0
onnx-file=../models/2023_06_30.onnx
#model-engine-file=../models/primary.trt
#int8-calib-file=calib.table
labelfile-path=det_labels.txt
#int8-calib-file=../models/yolov4.cache
batch-size=32

network-mode=2
num-detected-classes=5
gie-unique-id=1
network-type=0
is-classifier=0

cluster-mode=2
maintain-aspect-ratio=1
parse-bbox-func-name=NvDsInferParseYolo
custom-lib-path=/opt/nvidia/deepstream/deepstream/lib/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet
symmetric-padding=1

[class-attrs-all]
nms-iou-threshold=0.45
pre-cluster-threshold=0.5

[marcoslucianops]

https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/docs/YOLOv8.md

[ioir123ju]

https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/docs/YOLOv8.md

Of course, I followed this document to do it, but the result was a segmentation fault.

[marcoslucianops]

The current files in this repo don't use yoloLayer plugin for YOLOv8 models. Please update the files and generate the engine again running the DeepStream code.

[ioir123ju]

The current files in this repo don't use yoloLayer plugin for YOLOv8 models. Please update the files and generate the engine again running the DeepStream code.

Thank you for your response, but I have already implemented the latest version of DeepStream-Yolo. But it is not work.