安装

1. 进入dockerfile文件目录，运行dockerfile文件创建镜像

   cd /path_to_dockerfile
   
   docker build -t multinerf_df .
   

2. 在portainer.io中用镜像创建容器，配置如下

   

   

   

3. 用root启动容器

   docker exec -ti -u root multinerf_df_con bash
   

4. 安装colmap

   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
    git clone https://github.com/colmap/colmap.git
    cd colmap
    git checkout dev
    mkdir build
    cd build
    cmake .. -GNinja -DCMAKE_CUDA_ARCHITECTURES="75"
    ninja
    sudo ninja install
    sudo apt-get install -y \
        nvidia-cuda-toolkit \
        nvidia-cuda-toolkit-gcc  
   

训练

1. 运行训练命令

   source scripts/train_colmap.sh
   

2. 开始训练

   

测试

1. 运行测试命令

   scripts/eval_colmap.sh