deepstream 1.5 sample on TX2 always end up core dump

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

My Tx2 is equipped with jetpack3.3 and deepstream 1.5. The tool nvgstiva-app always gave me a core dump like:

nvidia@tegra-ubuntu:~$ nvgstiva-app -c configs/PGIE-FP16-CarType-CarMake-CarColor.txt 
------------>  -----------------
------------> 0,128,128:1,0,0:2,0,0:3,0,0:4,0,0:5,0,0: -----------------
------------> 0,1920,1080:1,100,1080:2,1920,1080:3,1920,1080:4,0,0:5,0,0: -----------------
------------>  -----------------
		CLASS_IDS TO OEPRATE ON gie_id(0) : 2: 
------------> 0,128,128:1,0,0:2,0,0:3,0,0:4,0,0:5,0,0:6,0,0:7,0,0:8,0,0:9,0,0:10,0,0:11,0,0: -----------------
------------> 0,1920,1080:1,100,1080:2,1920,1080:3,1920,1080:4,0,0:5,0,0:6,0,0:7,0,0:8,0,0:9,0,0:10,0,0:11,0,0: -----------------
------------>  -----------------
		CLASS_IDS TO OEPRATE ON gie_id(0) : 2: 
------------> 0,128,128:1,0,0:2,0,0:3,0,0:4,0,0:5,0,0:6,0,0:7,0,0:8,0,0:9,0,0:10,0,0:11,0,0:12,0,0:13,0,0:14,0,0:15,0,0:16,128,1920:17,0,100:18,0,1920:19,0,1920:20,0,0:21,0,0:22,0,0:23,0,0: -----------------
------------> 0,1920,1080:1,100,1080:2,1920,1080:3,1920,1080:4,0,0:5,0,0:6,0,0:7,0,0:8,0,0:9,0,0:10,0,0:11,0,0:12,0,0:13,0,0:14,0,0:15,0,0:16,1080,1:17,1080,1:18,1080,4:19,1080,4:20,0,0:21,0,0:22,0,0:23,0,0: -----------------
------------>  -----------------
		CLASS_IDS TO OEPRATE ON gie_id(0) : 2: 
------------> 0,0:1,0:2,0: -----------------
------------> 0,0:1,0:2,0: -----------------
------------> 0,0,0:1,0,0:2,0,0: -----------------
------------> 0,1920,1080:1,100,1080:2,1920,1080: -----------------
------------> 0,0.200000,0.100000,3,0:1,0.200000,0.100000,3,0:2,0.200000,0.100000,3,0: -----------------
CPU usage measurement requires governor to be set to performance------------> 0,0.0,1.0,0.0:1,0.0,1.0,1.0:2,0.0,0.0,1.0:3,1.0,1.0,0.0 -----------------
Deploy Name : /home/nvidia/Model/IVASecondary_Make_V1/deploy.prototxt
Model Name : /home/nvidia/Model/IVASecondary_Make_V1/snapshot_iter_6240.caffemodel
Model Cache Name : /home/nvidia/Model/IVASecondary_Make_V1/snapshot_iter_6240.caffemodel_b2_fp16.cache
Batch_Size 2
>>> Using Cached GIE model /home/nvidia/Model/IVASecondary_Make_V1/snapshot_iter_6240.caffemodel_b2_fp16.cache crypto flags(0)
Segmentation fault (core dumped)

I just can’t find anything useful from the output above. Any idea?

2

Luckily,I found the answer here:
https://devtalk.nvidia.com/default/topic/1042842/deepstream-sdk-on-jetson/segmentation-error/post/5291549/#5291549

Hope this will help you and save your time.

3

Hi,

Glad to hear you have it working. DS 4.0 would be released soon, please make sure to you move to it then.

4

hello
I am getting same erroe, after clearing all caches the issue still happening. any idea what may be the cause?
I followe this recomendation
https://devtalk.nvidia.com/default/topic/1042842/deepstream-sdk/segmentation-error/post/5293224/#5293224
it did not work.

5

Please create a new question with all the info about your issue.