首先上这里查看自己电脑GPU的CMAKE_CUDA_ARCHITECTURES

终端输入以下内容安装预先的前置依赖

sudo apt-get install \
    git cmake ninja-build  build-essential \
    libboost-program-options-dev libboost-filesystem-dev \
    libboost-graph-dev libboost-system-dev libboost-test-dev \
    libeigen3-dev libflann-dev libfreeimage-dev libmetis-dev \
    libgoogle-glog-dev \
    libgflags-dev libsqlite3-dev  libglew-dev qtbase5-dev libqt5opengl5-dev \
    libcgal-dev libceres-dev

再接着在终端中逐步输入以下内容来部署colmap即可

git clone https://github.com/colmap/colmap.git
cd colmap
mkdir build
cd build
sudo cmake .. \
      -D CMAKE_CUDA_COMPILER="/usr/local/cuda-11.8/bin/nvcc" ../CMakeLists.txt \
      -D CMAKE_CUDA_ARCHITECTURES='89'
cd ..
sudo make -j24 
sudo make install

其中CMAKE_CUDA_COMPILER是自己cuda的路径，如上所示，CMAKE_CUDA_ARCHITECTURES是自己GPU的计算能力，比如上图4090就是8.9，于是这里就输入89, 这俩都是按照自己的电脑来配置的。