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Using Docker build environment #1018

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@hurun

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@hurun

base images: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
after pulling images,

sudo docker run -tid \
                         --gpus all \
                         --net=host \
                         --name "gs" \
                         -v  "your dirs":/workspace/ \
                         pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel  /bin/bash

sudo docker exec -it gs /bin/bash
pip install   tqdm plyfile==0.8.1
pip install -e submodules/diff-gaussian-rasterization/
pip install -e  submodules/simple-knn/

for now, it can run trainning.

if you want to test train procedure, using this dataset

wget https://huggingface.co/camenduru/gaussian-splatting/resolve/main/tandt_db.zip

unzip tandt_db.zip

python train.py -s  tandt/train

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      Using Docker build environment · Issue #1018 · graphdeco-inria/gaussian-splatting