mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-12-02 09:05:27 +00:00
51 lines
1.2 KiB
Bash
Executable File
51 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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#git clone https://github.com/NVIDIA/cuda-samples #<- To Test docker Cuda image..
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#cd cuda-samples
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#also get add-ons
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git clone https://github.com/antimatter15/splat
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git clone https://github.com/ReshotAI/gaussian-splatting-blender-addon/
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git clone https://ceres-solver.googlesource.com/ceres-solver
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cd ceres-solver
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git checkout $(git describe --tags) # Checkout the latest release
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mkdir build
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cd build
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cmake .. -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF -DCMAKE_CUDA_ARCHITECTURES="60;70;80" #-DUSE_CUDA=OFF
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make -j8
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sudo make install
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cd ..
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cd ..
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git clone https://github.com/colmap/colmap
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cd colmap
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git checkout dev
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mkdir build
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cd build
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cmake .. -DCMAKE_CUDA_ARCHITECTURES="60;70;80" #-DCUDA_ENABLED=OFF
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make -j8
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sudo make install
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cd ..
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cd ..
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python3.10 -m pip install plyfile tqdm
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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
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python3.10 -m pip install https://huggingface.co/camenduru/gaussian-splatting/resolve/main/simple_knn-0.0.0-cp310-cp310-linux_x86_64.whl
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python3.10 -m pip install torchvision
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ln -s docker/run.sh ./run.sh
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#sudo apt-get -y install cuda
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sudo apt -y install nvidia-cuda-toolkit
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exit 0
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