Core dumped

Please provide the following information when requesting support.

Hardware - GPU (A100/A30/T4/V100)
Hardware - CPU
Operating System - ubuntu
Riva Version
TLT Version (if relevant)
How to reproduce the issue ? (This is for errors. Please share the command and the detailed log here)

when i try to execute (deepstream-appsrc-test) i am getting this error Segmentation fault (core dumped) how to resolve this error

jetson@ubuntu:~/Documents/deepstream-appsrc-test$ ./deepstream-appsrc-test out.mp4 1920 1080 30 NV12

Using winsys: x11
0:00:09.764576857 19490 0x55aba36f50 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1900> [UID = 1]: deserialized trt engine from :/home/jetson/Documents/deepstream-appsrc-test/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40

0:00:09.766272719 19490 0x55aba36f50 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2004> [UID = 1]: Use deserialized engine model: /home/jetson/Documents/deepstream-appsrc-test/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine
0:00:09.799989693 19490 0x55aba36f50 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 1]: Load new model:dstest_appsrc_config.txt sucessfully
Running…
Segmentation fault (core dumped)

this is a configuration file [property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-file= Primary_Detector/resnet10.caffemodel
proto-file= Primary_Detector/resnet10.prototxt
model-engine-file = Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine
labelfile-path = Primary_Detector/labels.txt
int8-calib-file= Primary_Detector/cal_trt.bin
force-implicit-batch-dim=1
batch-size=1
network-mode=1
num-detected-classes=4
interval=0
gie-unique-id=1
output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid
#scaling-filter=0
#scaling-compute-hw=0
cluster-mode=2

[class-attrs-all]
pre-cluster-threshold=0.2
topk=20
nms-iou-threshold=0.5

Hi @pandian

Thanks for connecting with Riva

The Issue you have reported doesn’t seems to be related to Riva

Moving to DeepStream

Thanks

Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• 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)
• The pipeline being used

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

please refer the REAME in
/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-appsrc-test

It’s just a demo for read YUV data push to deepstream. you need convert mp4 to raw data first.

Thanks

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