New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Using google drive docker image - kinect test, transform engine init failure #13
Comments
@rmbashirov for posterity, this is related to ampere GPU architecture compatibility with CUDA 10.2. Hopefully I can sort out using this cheers, |
Hey did you solve this? It looks like I meet the same issue and I try some methods but none of them works... |
@felixshing Alas, I moved on to another project. |
@dr00b Thank you for your reply. I also tried it in my 3080 GPU with 11.7 CUDA but I failed for now. I decided to try one more approach. If that still does not work, I will give up. May I ask did you find some other project related to this (map the keypoints extracted from RGB-D sensors to SMPL-X)? |
@felixshing I did not. It was a semester project so I had to cut and run with something different |
Oh, thanks for letting me know. I did my last attempt but it still does not work. Thus I just give up. It seems that the real problem comes from the face that the k4a 0.13.0 used in this project does not support 30X GPU well. I try to use the newest k4a package but somehow it must require 0.13.0 |
Hi @rmbashirov,
Thanks for your support on this repo! It's very interesting project.
I believe my issue may be related to #5.
I have downloaded the docker image from google drive link and I'm attempting to test the kinect viewer. I'm receiving the following error.
I completed the steps indicated by @xGen in #5 to expose all GPU's in the call to
./run_local.sh
.My GPU is listed when calling
nvidia-smi
inside docker, however I notice the CUDA version is 11.6, not 10.2.Any ideas?
The text was updated successfully, but these errors were encountered: