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Workflow for developing in a docker container:

  1. Git pull (repo includes dockerfile)
  2. Docker build (based on that dockerfile)
  3. Docker run (and bind the repo you're in to the docker container)
  4. Install conda/pip dependencies in container from environment.yml or pip
  5. Run demo code from repo

Setup Deep Geometric Prior in docker container

  1. apt update
  2. apt install git -y
  3. apt install wget -y
  4. apt install unzip -y
  5. git clone https://github.com/montehoover/deep-geometric-prior.git
  6. wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  7. bash https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  8. Read license, type yes, hit enter a few times
  9. cd deep-geometric-prior
  10. conda env create -f environment.yml
  11. conda activate deep-geometric-prior
  12. conda install -c conda-forge gdown -y
  13. gdown https://drive.google.com/uc?id=17Elfc1TTRzIQJhaNu5m7SckBH_mdjYSe
  14. unzip deep_geometric_prior_data.zip
  15. python reconstruct_surface.py deep_geometric_prior_data/scans/gargoyle.ply 0.01 1.0 20 -d cuda:0 cuda:1 cuda:2 cuda:3 -nl 25 -ng 25 -o gargoyle