Draft: Research mesh tooling with nglod

  • Status: draft
  • Deciders: V-Sekai,
  • Tags: V-Sekai,

Context and Problem Statement

Need geometric tools for many things in the V-Sekai.

Describe the proposed option and how it helps to overcome the problem or limitation

Use nglod for some of the 3d geometric tools.

Describe how your proposal will work, with code, pseudo-code, mock-ups, or diagrams

  1. git clone https://github.com/nv-tlabs/nglod.git
  2. Install https://github.com/conda-forge/miniforge#mambaforge
  3. conda create --name nglod python=3.9
  4. conda activate nglod
  5. conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
  6. pip install -r ./infra/requirements.txt
python app/main.py --net OctreeSDF --num-lods 5 --dataset-path data/armadillo.obj --epoch 250 --exp-name armadillo

Positive Consequences

  • Maybe possible to encode as onnx
  • Maybe usable cpu only.

Negative Consequences

  • Might require the GPU.
  • Inferencing may be difficult at interactive rates.

Option graveyard:

  • Option:
  • Rejection Reason:

If this enhancement will not be used often, can it be worked around with a few lines of script?

CUDA, PyTorch and c++ are significant works.

Is there a reason why this should be core and done by us?

I have an approach!

References

  • https://kaolin.readthedocs.io/en/latest/notes/installation.html
  • https://www.alecjacobson.com/weblog/?tag=qslim

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