Yolov8seg giving divide by 0 errors if no detection in frame

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) nano
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only) 6.0
• TensorRT Version 8.6.2.3-1+cuda12.2
• NVIDIA GPU Driver Version (valid for GPU only) NVIDIA-SMI 540.2.0
• Issue Type( questions, new requirements, bugs)

Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )

• 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)\

** When convert yolov8n model convert into tensor format. It written below errors :

Github Link : DeepStream-Yolo-Seg/docs/YOLOv8_Seg.md at master · marcoslucianops/DeepStream-Yolo-Seg · GitHub

Error:

nvstreammux: Successfully handled EOS for source_id=0
ERROR: [TRT]: 1: [runner.cpp::shapeChangeHelper::621] Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )
ERROR: Failed to enqueue trt inference batch
ERROR: Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:00:11.744366453 15239 0xaaab371ad600 WARN nvinfer gstnvinfer.cpp:1418:gst_nvinfer_input_queue_loop:<primary_gie> error: Failed to queue input batch for inferencing
ERROR: [TRT]: 1: [runner.cpp::shapeChangeHelper::621] Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )
ERROR: Failed to enqueue trt inference batch
ERROR: Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:00:11.803543873 15239 0xaaab371ad600 WARN nvinfer gstnvinfer.cpp:1418:gst_nvinfer_input_queue_loop:<primary_gie> error: Failed to queue input batch for inferencing
ERROR from primary_gie: Failed to queue input batch for inferencing
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1418): gst_nvinfer_input_queue_loop (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie
ERROR from primary_gie: Failed to queue input batch for inferencing
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1418): gst_nvinfer_input_queue_loop (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie
ERROR: [TRT]: 1: [runner.cpp::shapeChangeHelper::621] Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )
ERROR: Failed to enqueue trt inference batch
ERROR: Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:00:11.852672214 15239 0xaaab371ad600 WARN nvinfer gstnvinfer.cpp:1418:gst_nvinfer_input_queue_loop:<primary_gie> error: Failed to queue input batch for inferencing
ERROR: [TRT]: 1: [runner.cpp::shapeChangeHelper::621] Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )
ERROR: Failed to enqueue trt inference batch
ERROR: Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:00:11.911965380 15239 0xaaab371ad600 WARN nvinfer gstnvinfer.cpp:1418:gst_nvinfer_input_queue_loop:<primary_gie> error: Failed to queue input batch for inferencing
App run failed

config_yoloV8n_seg.txt :

[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
onnx-file=yolov8s-seg.onnx
model-engine-file=yolov8s-seg.onnx_b1_gpu0_fp32.engine
#int8-calib-file=calib.table
labelfile-path=labels.txt
batch-size=1
network-mode=0
num-detected-classes=80
interval=0
gie-unique-id=1
process-mode=1
network-type=3
cluster-mode=4
maintain-aspect-ratio=1
symmetric-padding=1
#workspace-size=2000
parse-bbox-instance-mask-func-name=NvDsInferParseYoloSeg
custom-lib-path=nvdsinfer_custom_impl_Yolo_seg/libnvdsinfer_custom_impl_Yolo_seg.so
output-instance-mask=1
segmentation-threshold=0.5

[class-attrs-all]
pre-cluster-threshold=0.25
topk=100

I am checking.

please refer to topic1 and topic2.

this is a new issue. the application can’t find the file. please check if it exists. if no, you can use other mp4 instead.

Other mp4. still not working.

But issues solved now with newly installed setup: *
JETPACK : 5.1.2
D.S : 6.3
GPU Type : orint nano
Nvidia Driver Version : NVIDIA-SMI 540.2.0
CUDA Version : cuda11.4

could you share the new log?