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mesh2sdf errors #20
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Hi @kingcodefish, Our codebase relies on two custom CUDA kernels which can be found in |
@joeylitalien Whoops, my bad. Somehow I managed to skip over that part of the setup. I've now built the extensions and have gotten the neural network to train on the armadillo example. However, when I run the following command to export the .npz file:
I get the following error:
|
A lot of this is affected by some recent refactors we've had which includes deprecating some of the exporting capabilities to opt for a Python-based interactive renderer. Said Python-based renderer isn't available yet but will be soon (hopefully over the weekend)! |
@tovacinni Thanks for getting back so quickly. Looking forward to it. I went ahead and tried the .npz files on the other issues with the real-time renderer portion as well, but all I get is this: Attempting to zoom in or out or really do anything instantly crashes the program leaving the console error:
I am using CUDA 11.1 btw with Python 3.8.8 and the latest PyTorch for CUDA 11.1 support on Ubuntu 20.0.4 and an NVIDIA Titan X (Pascal). I assume this is the same issue in #5. Just want to bring it to your attention again and ask if there is anything I might be able to try on my end to resolve it (changing CUDA toolkit, pytorch?). |
Hi @kingcodefish I'm just wondering have you solved the |
how did you solve this problem( TypeError: init() got an unexpected keyword argument 'sol') in the end?Thank you! |
Hi,
I'm trying to build the sdf-net portion of the repository, but I'm having issues with the mesh2sdf library. I'm not entirely sure what library this corresponds to because it's not in the requirements.txt, but I've guessed that it must be the mesh-to-sdf library. I've tried this and changing the imports to match, but the build still breaks in compute_sdf.py. which uses mesh2sdf_gpu and doesn't exist in mesh-to-sdf.
So I'm curious what library I'm supposed to use for this or if this is just legacy code that needs to be reconfigured. I've had other dependency issues, but so far, those have been pretty easy to resolve. Happy to help contribute for this, but want to make sure I'm not making a glaring mistake.
Thanks.
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