deepstream yolo issue on Xavier

Autonomous Machines Jetson & Embedded Systems Jetson AGX Xavier
1

Hi,

I’m currently deploying deepstream-reference-apps-YOLO from github source GitHub - NVIDIA-AI-IOT/deepstream_reference_apps: Samples for TensorRT/Deepstream for Tesla & Jetson I’m facing issue, while running yolov3 plugin on either mode deepstream-yolo-app and trt-yolo-app. i have couple of question, please help us to resolve this issue;

  1. when i run using deepstream-yolo-app make issue;
[ 50%] Building CXX object CMakeFiles/deepstream-yolo-app.dir/deepstream-yolo-app.cpp.o
/home/nvidia/Downloads/deepstream_reference_apps/yolo/apps/deepstream-yolo/deepstream-yolo-app.cpp:29:10: fatal error: gstnvdsmeta.h: No such file or directory
 #include "gstnvdsmeta.h"
          ^~~~~~~~~~~~~~~
compilation terminated.
CMakeFiles/deepstream-yolo-app.dir/build.make:62: recipe for target 'CMakeFiles/deepstream-yolo-app.dir/deepstream-yolo-app.cpp.o' failed
make[2]: *** [CMakeFiles/deepstream-yolo-app.dir/deepstream-yolo-app.cpp.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/deepstream-yolo-app.dir/all' failed
make[1]: *** [CMakeFiles/deepstream-yolo-app.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2
  1. trt-yolo-app --flagfile=/home/nvidia/Downloads/deepstream_reference_apps/yolo/config/yolov3.txt

core-dumped issue;

  1. is there possible to give input video on yolov3.txt or realtime streaming protocol ip;
2

Hi,

1. Please noticed that there are two different kinds of deepstreamSDK: Tesla and Tegra(=Jetson).
gstnvdsmeta.h is not a Jetson header so it won’t be available for Xavier.

Please make sure you have specified the correct platform first:
https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/blob/master/Makefile.config#L28

PLATFORM:=TEGRA

2. Please remember to download the yolov3 weight first:
https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/tree/master/yolo#setup

$sh prebuild.sh

3. The deepstream-yolo-app is by default using the video mode.
https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/tree/master/yolo#deepstream-yolo-app
Just update the configure to the location of your video.

$ deepstream-yolo-app <Platform-Telsa/Tegra> <H264 filename> <yolo-plugin config file>

Thanks.

3

Hi AastaLLL,

  • still i won’t be able to run both a way, either deepstream-yolo and trt-yolo-app.
    In Deepstream yolo app after i change platform= TEGRA, this issue is still present;
  • still trt-yolo-app has been issue core-dumped issue.
Building complete!
  Serializing the TensorRT Engine...
  trt-yolo-app: /home/nvidia/Downloads/deepstream_reference_apps-master/yolo/lib/yolo.cpp:676: void 
  Yolo::writePlanFileToDisk(): Assertion `!m_EnginePath.empty() && "Enginepath is empty"' failed.
  Aborted (core dumped)

We are unnable to proceed, we stuck on this problem. Please help us

4

Hi,

Could you check if these paths are valid first?

https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/blob/3a8957b2d985d7fc2498a0f070832eb145e809ca/yolo/config/yolov3-tiny.txt#L35

...
--network_type=yolov3-tiny
--config_file_path=data/yolov3-tiny.cfg
--wts_file_path=data/yolov3-tiny.weights
--labels_file_path=data/labels.txt
...

Please noticed that since the relative path is used in the config file.
You will need to run the application in folder ${deepstream_reference_apps}/yolo/.

Thanks.

5

Hi AastaLLL,

Thanks for the response. Yeah i did relative path location. please have a look;

--network_type=yolov3
--config_file_path=/home/nvidia/Downloads/deepstream_reference_apps-master/yolo/config/data/yolov3.cfg
--wts_file_path=/home/nvidia/Downloads/deepstream_reference_apps-master/yolo/config/data/yolov3.weights
--labels_file_path=/home/nvidia/Downloads/deepstream_reference_apps-master/yolo/config/data/labels.txt
6

Hi,

I’m afraid that you are confused by my reply.

To run the sample on the Jetson, please update PLATFORM:=TEGRA.

$ cd plugins/gst-yoloplugin-tegra
$ mkdir build && cd build
$ cmake -D DS_SDK_ROOT=<DS SDK Root> -D CMAKE_BUILD_TYPE=Release ..
$ make && sudo make install

The original missing gstnvdsmeta.h header is for TESLA platform.
That’s why I recommend you to set PLATFORM:=TESLA in comment 2.

Please check if the config is correct first.

Thanks.

7

Thanks AastaLL,

Yeah Already i did, whatever github instruction gave, i follow. But i couldn’t able to complete; Please have a look. I got new log;

nvidia@jetson-0423418048925:~/Downloads/deepstream_reference_apps-master/yolo/plugins/gst-yoloplugin-tegra/build$ make && sudo make install
[ 84%] Built target yolo-lib
Scanning dependencies of target gstnvyolo
[ 92%] Building CXX object CMakeFiles/gstnvyolo.dir/gstyoloplugin.cpp.o
In file included from /home/nvidia/Downloads/deepstream_reference_apps-master/yolo/plugins/gst-yoloplugin-tegra/gstyoloplugin.cpp:26:0:
/home/nvidia/Downloads/deepstream_reference_apps-master/yolo/plugins/gst-yoloplugin-tegra/gstyoloplugin.h:35:10: fatal error: nvbuf_utils.h: No such file or directory
 #include "nvbuf_utils.h"
          ^~~~~~~~~~~~~~~
compilation terminated.
CMakeFiles/gstnvyolo.dir/build.make:62: recipe for target 'CMakeFiles/gstnvyolo.dir/gstyoloplugin.cpp.o' failed
make[2]: *** [CMakeFiles/gstnvyolo.dir/gstyoloplugin.cpp.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/gstnvyolo.dir/all' failed
make[1]: *** [CMakeFiles/gstnvyolo.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2
nvidia@jetson-0423418048925:~/Downloads/deepstream_reference_apps-master/yolo/plugins/gst-yoloplugin-tegra/build$
8

Hi,

nvbuf_utils.h is included in the MMAPI. Have you installed it?
If not, could you give it a try? MMAPI is available in the JetPack/SDKmanager.

Thanks.

9

Hi Varun_Rathinam,

I’m deploying deepstream-yolo-app on a Jetson Nano and I face the same issue, did you find the solution for this problem ?

Thanks,