**• Hardware Platform: dGPU
**• DeepStream Version: 6.1
**• TensorRT Version: 8.4.1-1+cuda11.6
**• NVIDIA GPU Driver Version: 510.73.05
**• Issue Type: bugs/questions
**• How to reproduce the issue ?
run deepstream-image-meta-test with a mp4 file
sudo ./deepstream-image-meta-test file:///xxx/test.mp4
it will generate some jpg files, but when I run it multiple times, I got different count of jpg files, I don’t know is it a bug. I didn’t change any code or config in this test.
**• Requirement details:
The results showed abave, I didn’t change code in out1-out6, the output is different,
then I try to set download=true in uridecodebin, which generate out7-out8, it is also different result count.
this link contains test.mp4 and out1,2,3,8
no codes and configs are different from the official test code,
deepstream_image_meta_test.c (21.0 KB)
ds_image_meta_pgie_config.txt (3.3 KB)
my gpu is RTX 3060, and I just tested in docker deepstream:6.1-devel with the same test.mp4 for 4 times, it generated 572/588/580/588 jpg files,
this is the file with
deepstream-image-meta-test file:///test.mp4 2>&1 | tee test.log
test.log (167.5 KB)
ps: the bug I initially found in Tesla t4, deepstream 6.0 docker programe with my own code.
Using Tesla T4, I can reproduce this issue in docker deepstream:6.1-devel with the same test.mp4, in ten tests, one got 383 jpg files, the other nine got 295 jpg files.
will add logs in nvinfer plugin to debug.
Thank you, waiting for your good news.
please set model-engine-file in ds_image_meta_pgie_config.txt for workaround. for example:
I just removed model-file and proto-file, added model-engine-file config, it generates 579/585/584 files with three running.
please provide the whole logs after set model-engine-file? please check if engine file will be created every time.
-rw-r--r-- 1 root root 2.3M Jul 8 09:23 resnet10.caffemodel_b1_gpu0_int8.engine
It didn’t create new engine file.
Below log file is I ran it with 587 output.
test.log (167.5 KB)
Yes you’re right.
I tested in tesla t4 and rtx3060 for 10 times with specified the engine,
it generated the same outputs in t4, and differents outputs in rtx3060.
Thank your for yours patiently reply.
Will your team solve the issue or just focus on server and jetson series?
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