conda create --name gs python=3.10
conda activate gs
conda install -c conda-forge cudatoolkit=11.7
conda install -c nvidia/label/cuda-11.7.0 cuda-toolkit
pip install torch==2.0.1+cu117 torchvision==0.15.2+cu117 torchaudio==2.0.2+cu117 -f https://download.pytorch.org/whl/torch_stable.html
conda install -c conda-forge gxx_linux-64=11.2.0
conda install -c conda-forge libxcrypt
pip install plyfile tqdm psutil setuptools mkl pandas
pip install --force-reinstall numpy==1.23.5
export LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH

git clone https://github.com/MaureenZOU/m3-spatial.git
cd submodules/diff-gaussian-rasterization && pip install -e .
cd submodules/diff-gaussian-rasterization2 && pip install -e .

git clone git@github.com:nyu-systems/Grendel-GS.git --recursive
cd submodules/gsplat && pip install -e .
cd submodules/simple-knn && pip install -e .

sh run/app.sh

python3 -m lmm.clip.extract # CLIP feature
python3 -m lmm.siglip.extract # SigLIP feature
python3 -m lmm.dinov2.extract # DINOv2 feature
python3 -m lmm.llama.extract # LLaMA3 feature
python3 -m lmm.llamav.extract # LLaMAv feature
python3 -m lmm.seem.extract # SEEM feature

sh run/train.sh # single GPU
sh run/mtrain.sh # multi GPU

sh run/eval.sh # single GPU evaluation
sh run/app.sh # run interactive demo