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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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