Deepstream 6 YOLO performance issue

[tiyeesa]

Hi, @adventuredaisy
I applied the it by using this:

/opt/nvidia/deepstream/deepstream-6.0/sources/objectDetector_Yolo$ sudo patch -p1 < ~/DS6.0_objectDetector_Yolo_perf_regression.patch

I checked that the code changed after running the patch file.
but I couldn’t get any difference even after applying it.

I still getting about 11 fps…

[mchi]

@adventuredaisy

warning: nvdsinfer_custom_impl_Yolo/nvdsinfer_yolo_engine.cpp has type 100755, expected 100644
error: cannot apply binary patch to ‘nvdsinfer_custom_impl_Yolo/nvdsinfer_yolo_engine.o’ without full index line
error: nvdsinfer_custom_impl_Yolo/nvdsinfer_yolo_engine.o: patch does not apply
warning: nvdsinfer_custom_impl_Yolo/yolo.cpp has type 100755, expected 100644
warning: nvdsinfer_custom_impl_Yolo/yolo.h has type 100755, expected 100644
error: cannot apply binary patch to ‘nvdsinfer_custom_impl_Yolo/yolo.o’ without full index line
error: nvdsinfer_custom_impl_Yolo/yolo.o: patch does not apply

Sorry! The patch includes some .o files, and generated under docker, so there are patch apply error to .o files & warining about file permission change. You can ignore these error and warning.
I went through the log, seems the patch was applied successfully .

[mchi]

@tiyeesa

I checked that the code changed after running the patch file.

You need to rebuild the libnvdsinfer_custom_impl_Yolo.so with
$ export CUDA_VER= …
$ make -C nvdsinfer_custom_impl_Yolo

[mchi]

Sorry all!

I updated the patch and steps to apply the patch in post#22 (Deepstream 6 YOLO performance issue - #22 by mchi) above.

[tiyeesa]

@mchi

m

My bad! It shows about 55 fps after rebuild.
Thanks!

[adventuredaisy]

Beautiful
55 fps also
My faith in you’re skills to surmount this problem never wavered
OK maybe a little bit
But you didn’t let us down.

Thank you

[mfoglio]

Could I have this issue when using the container nvcr.io/nvidia/deepstream:6.0-triton?