Comments (11)
Yeah
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Can you run nvcc from your system?
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@ashwath98 yes,nvcc works normal .
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
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@ashwath98 have you installed Kaolin successfully?
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I setup the repo on colab.
These were the steps I followed to install kaolin
git clone https://github.com/NVIDIAGameWorks/kaolin.git
cd kaolin
git checkout v0.1 (new API does not work with this repo)
python setup.py develop
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Great! And have you run IP-Net with version0.1 kaolin successfully? I don't know which version of Kaolin can work . Thank you!
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so bad ... still the same error, thank you anyway.
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@ashwath98 Can you tell me the installing configuration?Such as python pytorch version? thank you!
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@ljq2020 Thank you and if you have any idea with the error above?
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check your email
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Finally I installed v0.1 kaolin successfully with the help of my friend and the configuration is the same as before but the only one change is the version of kaolin.
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Related Issues (20)
- How to obtain the “/BS/RVH/work/data/template/faces.npy” HOT 3
- Inner surface error with frontal point cloud HOT 1
- Preprocess data for training HOT 1
- Test on Single-View Point Cloud HOT 8
- Can not download IPNet weight? HOT 1
- The difference between `args.SV` and `args.model == 'IPNetSingleSurface'` HOT 2
- Suggestions to improve the execution time HOT 1
- Could I get skeleton and skinning weights after alignments? HOT 2
- CUDA out of memory HOT 3
- import errors with libmesh on windows
- How to get a female SMPL fitting result? HOT 1
- Question about the part probabilities HOT 2
- Texture registration SMPL? HOT 2
- fit_SMPLD results are bad
- displacments in IPNetMano() HOT 1
- Boundary points of single view data? HOT 5
- The std of boundary sampling
- Results of "Run demo IP-Net" HOT 1
- data preparation question.
- the pre-trained model is damage
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