Different result of rangenet_lib

[TT22TY]

Hello, I have tested rangenet_lib, the result is as follows, which is different to the demo on the website(https://github.com/PRBonn/rangenet_lib). I use the pre_trained model provided on the website, I wonder why it is different and wrong. Could you please give some suggestions to find out the reason? Besides , I also opened an issue under the SuMa++
（https://github.com/PRBonn/semantic_suma/issues/6#issue-525720509）

Thank you very much.

[jbehley]

Hi @TT22TY,

we are currently investigating the issue. Currently, we only know that it might occur on Nvidia RTX graphic cards.

Do you also have an RTX model?

(sorry for the late reply.)

[TT22TY]

Thanks for your reply. :) @jbehley
I use GeForce RTX 2080,Cuda 10.0, V10.0.130, Cudnn 7.5.0, Driver Version: 410.48. I am not sure what does "an RTX model" mean？
Thank you very much.

[jbehley]

Okay, this seems to be really an issue with the Geforce RTX line. I experienced similar problems with my RTX 2070 and therefore we have to investigate what's the reason.

The non-TensorRT part works under Pytorch with an RTX 2080 Ti, since this is the card we used for our experiments.

[jbehley]

It seems to be a problem of the version of TensorRT and RTK graphic cards. Everything works as expected with TensorRT 5.1:

Hope that resolves your issue. We also changed the README.md to account for this requirement.

[TT22TY]

Thank you very much! @jbehley

In fact ,I use TensorRT 5.1.5.0, so I wonder which version do you installed?
Besides, since the version of TensorRT is related to cuda and cudnn, could you please tell me the exact version of the cuda and cudnn you use? Mine is Cuda 10.0, V10.0.130, Cudnn 7.5.0, Driver Version: 410.48. TensorRT 5.1.5.0.

Thank you!

[Chen-Xieyuanli]

Hi @TT22TY ,

I've tested on three different setups.

1. Quadro P4000, Cuda 10.0.130, Cudnn 7.6.0, Driver 418.56, TensorRT 5.1.5.0
2. GeForce GTX 1080 Ti, Cuda 9.0.176, Cudnn 7.3.1, Driver 390.116, TensorRT 5.1.5.0
3. GeForce GTX 1050 Ti, Cuda 10.0.130, Cudnn 7.5.0, Driver 410.79, TensorRT 5.1.5.0

I hope it helps.

[jbehley]

Hi @TT22TY,

and I run it under Ubuntu 18.04 using the following combination:

1. GeForce RTX 2070, Cuda V10.1.243, Cudnn 7.6.3, Driver 418.87.01, TensorRT 5.1.5.0-ga

For TensorRT I downloaded: nv-tensorrt-repo-ubuntu1804-cuda10.1-trt5.1.5.0-ga-20190427_1-1_amd64.deb

[TT22TY]

@jbehley @Chen-Xieyuanli ,Thank you very much, I am not sure which part lead to the wrong result, mine is
Ubuntu 16.04, GeForce RTX 2080, Cuda V10.0.130, Cudnn 7.5.0, Driver Version: 410.48 ,TensorRT 5.1.5.0.

For TensorRT I downloaded: Tensorrt-TensorRT-5.1.5.0. ubuntu-16.04.5x86_64-gnu.cuda-10.0.cudnn7.5.tar.gz

Do you have any suggestions for which one should I update, I will try it again.

Thank you very much! :)

[Chen-Xieyuanli]

Hi @TT22TY , since you have the RTX graphic card, I would suggest you following @jbehley's setup.

Please make sure that you build the system with the expected setup, because different versions of Cuda, Cudnn or TensorRT could exist at the same time. When compiling the system, It might still connect to the wrong versions.

[TT22TY]

@Chen-Xieyuanli Thank you very much, I will try. :)

[Ewaolx]

In reference to issue #6,

Below is my hardware setup.
GeForce GTX 1050
Cuda: 10.1, V10.1.243
Cudnn: 7
TensorRT: 6.0.1

Just wanted to know, if this setup is compatible or should I switch to other setup.
Thanks!

[jbehley]

We currently only experienced problem with RTX models. However, I would currently suggest to use TensorRT 5.1, since this is the version we also tested the most and have had running on many other systems.

If you go for TensorRT 6.0, we cannot guarantee that everything works as expected.

[Ewaolx]

Thanks for the update.

I tried running with the TensorRT 5.1, but still getting the same result. Also, I tried the .bin file provided in the example folder and had no issues getting the expected result.

It would be great, if possible, you guys can try this pcd file and see if getting the same results as mine.
Thank you!

[LongruiDong]

Hi ,
I have also get similiar bad result of example scan:

my envs:

Ubuntu 5.4.0-6ubuntu1~16.04.12
CUDA Version 10.0.130  cudnn 7.5.1
TITAN RTX 24g  
Nvidia driver  440.44

and TensorRT information:

ii  libnvinfer-dev                                              5.1.5-1+cuda10.0                                      amd64        TensorRT development libraries and headers
ii  libnvinfer-samples                                          5.1.5-1+cuda10.0                                      all          TensorRT samples and documentation
ii  libnvinfer5                                                 5.1.5-1+cuda10.0                                      amd64        TensorRT runtime libraries
ii  tensorrt                                                    5.1.5.0-1+cuda10.0                                    amd64        Meta package of TensorRT