about scipy version

[TnoobT]

hi, bro. very nice work！I want to know what version of scipy you have installed. I installed scipy=1.11.0 and reported an error

[geopavlakos]

We provide this file with the full details regarding the versions of the dependencies we use for our environment. The version for scipy is 1.9.1.

[TnoobT]

Thank you very much for your reply. I have another question. I tested my own video and when processing frame 7, the code got stuck. Then I debugged and found that the value in the graph was nan, which entered a dead loop. Do you have a way to handle this situation

[geopavlakos]

Could you share the video?

[TnoobT]

I also tested 022691_ Mpii_ Test will also fall into a dead cycle. Is it something wrong with my environment

[geopavlakos]

Yes, that video should run without a problem, so it's probably the environment. You can take a look at the colab to identify differences compared to the default environment and the default installation procedure.

[TnoobT]

Thank you for your answer. I have another silly question. I saw in your paper that the SMPL parameters were predicted using humor networks. Have you done any network or loss optimization for the estimation of SMPL parameters

[geopavlakos]

Yes, we solve an optimization problem to estimate the SMPL parameters for each person. The HuMoR network is responsible for one of the objectives of this optimization, the motion prior part.

[TnoobT]

I ran the code using Colab, but this issue also occurred. Perhaps you need to modify Colab.

I made the modifications and now it can work normally

[geopavlakos]

Thanks for pointing that out! I have updated the colab environment.

[TnoobT]

hi, I have reinstalled the environment several times but still fell into a dead cycle. I would like to ask if the version of CUDA on your computer is 11.7, and my version is 11.1. I would like to upgrade my CUDA version

[geopavlakos]

We have indeed tested the demo using CUDA version 11.7, but I cannot be entirely sure if the CUDA version is responsible for the issue you are facing.

[TnoobT]

ok, thank you. i try it

[TnoobT]

Damn it, I know what the reason is. On my own computer, CUDA is 11.1, but in install.sh, CUDA 11.7 corresponds to Torch1.13. I installed Torch1.13, but the program did not report any errors! Then I installed the torch corresponding to cuda11.1 (the torch-scatter also needs to correspond, otherwise the subsequent DROID-SLAM will report an error), the code ran successfully, and finally solved the problem