UniqAI/gaussian-splatting
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add 3dgsconverter

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This commit is contained in:
Ammar Qammaz 2023-10-31 18:03:28 +02:00
parent 86e0d77b6b
commit c2fe77c0aa
2 changed files with 5 additions and 1 deletions
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3
docker/initialize.sh
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@ -8,6 +8,7 @@
#also get add-ons #also get add-ons
git clone https://github.com/antimatter15/splat git clone https://github.com/antimatter15/splat
git clone https://github.com/ReshotAI/gaussian-splatting-blender-addon/ git clone https://github.com/ReshotAI/gaussian-splatting-blender-addon/
git clone https://github.com/francescofugazzi/3dgsconverter #needs scikit-learn
@ -37,7 +38,7 @@ cd ..
python3.10 -m pip install plyfile tqdm python3.10 -m pip install plyfile tqdm scikit-learn
python3.10 -m pip install https://huggingface.co/camenduru/gaussian-splatting/resolve/main/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl python3.10 -m pip install https://huggingface.co/camenduru/gaussian-splatting/resolve/main/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl
python3.10 -m pip install https://huggingface.co/camenduru/gaussian-splatting/resolve/main/simple_knn-0.0.0-cp310-cp310-linux_x86_64.whl python3.10 -m pip install https://huggingface.co/camenduru/gaussian-splatting/resolve/main/simple_knn-0.0.0-cp310-cp310-linux_x86_64.whl
python3.10 -m pip install torchvision python3.10 -m pip install torchvision

3
docker/run.sh
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@ -23,6 +23,9 @@ fi
python3.10 convert.py -s $1-data/ --camera SIMPLE_RADIAL --no_gpu #GPU produces worse results (?) python3.10 convert.py -s $1-data/ --camera SIMPLE_RADIAL --no_gpu #GPU produces worse results (?)
python3.10 train.py -s $1-data/ -r 1 --model_path=$1-data/output/ # python3.10 train.py -s $1-data/ -r 1 --model_path=$1-data/output/ #
python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/point_cloud/iteration_30000/point_cloud.ply -o $1-data/output/point_cloud/iteration_30000/output_cc.ply -f cc --rgb --density_filter --remove_flyers
python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/output/point_cloud/iteration_30000/output_cc.ply -o $1-data/output/output/point_cloud/iteration_30000/point_cloud_clean.ply -f 3dgs
#pack it in #pack it in
#tar cvfjh "$1.tar.bz2" $1-data/ #tar cvfjh "$1.tar.bz2" $1-data/