Comments (13)
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.
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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
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Could you share the video?
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I also tested 022691_ Mpii_ Test will also fall into a dead cycle. Is it something wrong with my environment
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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.
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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
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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.
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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
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Thanks for pointing that out! I have updated the colab environment.
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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
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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.
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ok, thank you. i try it
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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
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Related Issues (20)
- colab error in the last step HOT 3
- Camera motion information HOT 3
- Segmentation fault while running run_vis,py HOT 1
- Solution to omit frames where there are no people? It is causing 0 Batch size issue HOT 2
- evaluate on 3dpw but got incorrect camera visualzation
- issues with run_vis
- Cuda Out of Memory HOT 1
- Time limit on length of output? HOT 1
- Issue in code? HOT 3
- Dropbox dataset and dependency link has been temporarily banned - Any other link?
- Google Colab not working HOT 1
- Why I have no output? HOT 4
- About initial root translation HOT 1
- What is the use of cameras.json? HOT 3
- Information on Output Files
- Why is camera coordinate data passed to SMPLLoss during computing MotionLoss?
- Why is it super slow ? the rendering time is too much,
- basicModel_neutral_lbs_10_207_0_v1.0.0.pkl 404 HOT 8
- Can this project not be configured in windows environment?
- FileNotFound error model_config.yaml
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