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 mitsuba2-docker

A ready to run mitsuba2 docker image with installed:

  • Optix 7
  • CUDA 10.2
  • Conda
  • Jupyter Lab
  • Mitsuba2

Enabled variants:

  • scalar_rgb
  • scalar_spectral
  • gpu_autodiff_spectral
  • gpu_autodiff_rgb
  • gpu_autodiff_mono

Usage

Run it on any vast.ai, paperspace or other gpu instance.

  1. Visit vast.ai create an account and upload your ssh keys
  2. Choose a sufficient machine (CUDA >10.2, more memory the better)
  3. Create with the image bonsaielectric/mitsuba2-docker:pathreparam-optix7
  4. Connect ssh -p <PORT> <USER>@<HOST> -L 8080:localhost:8080
  5. Lunch jupyter lab --ip 0.0.0.0 --allow-root --port 8080

Please bear in mind bonsaielectric/mitsuba2-docker:pathreparam-optix7 might be out of date, but you should be able to use this dockerfile to build one for your use.