Gaussian Splatting Test - Basic Setup

sudo apt update
sudo apt install -y \
    libglew-dev \
    libassimp-dev \
    libboost-all-dev \
    libgtk-3-dev \
    libopencv-dev \
    libglfw3-dev \
    libavdevice-dev \
    libavcodec-dev \
    libeigen3-dev \
    libxxf86vm-dev \
    libembree-dev \
    cmake \
    ninja-build \
    git

# Download CUDA repository
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt update

# Install CUDA 11.8
sudo apt install cuda-11-8

# Add to PATH
echo 'export PATH=/usr/local/cuda-11.8/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc

# Install Miniconda (if not installed)
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh

# Clone Gaussian Splatting
git clone https://github.com/graphdeco-inria/gaussian-splatting --recursive
cd gaussian-splatting

# Create environment
conda env create --file environment.yml
conda activate gaussian_splatting

# Build simple-knn
pip install submodules/simple-knn

# Build diff-gaussian-rasterization
pip install submodules/diff-gaussian-rasterization

cd SIBR_viewers
cmake -B build -DCMAKE_BUILD_TYPE=Release -GNinja
cmake --build build --target install

fatal error: filesystem: No such file or directory

sudo apt install libstdc++-11-dev

nvcc fatal: Unsupported gpu architecture 'compute_XX'

cmake -B build -DCMAKE_BUILD_TYPE=Release -DUSE_CUDA=OFF -GNinja

./SIBR_viewers/install/bin/SIBR_gaussianViewer_app \
    -m output/your_scene/

python train.py -s /path/to/your/data

python render.py -m output/your_model