【glomap】glomap install tutorial

大江东去浪淘尽千古风流人物2024-08-02 11:11

【glomap】glomap install tutorial

1. install step by office

python 复制代码 
mkdir build
cd build
cmake .. -GNinja
ninja && ninja install

error like this:

python 复制代码 
/glomap/build$ make -j20
[  2%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/array.c.o
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[  2%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/dsift.c.o
[  2%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/fisher.c.o
[  2%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/generic.c.o
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[  4%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/hikmeans.c.o
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[ 10%] Building C object _deps/colmap-build/src/thirdparty/VLFeat/CMakeFiles/colmap_vlfeat.dir/homkermap.c.o
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[ 20%] Building CUDA object _deps/colmap-build/src/thirdparty/SiftGPU/CMakeFiles/colmap_sift_gpu.dir/ProgramCU.cu.o
nvcc fatal   : Unsupported gpu architecture 'compute_89'
make[2]: *** [_deps/colmap-build/src/thirdparty/SiftGPU/CMakeFiles/colmap_sift_gpu.dir/build.make:216: _deps/colmap-build/src/thirdparty/SiftGPU/CMakeFiles/colmap_sift_gpu.dir/ProgramCU.cu.o] Error 1
make[2]: *** Waiting for unfinished jobs....
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[ 22%] Building CXX object _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/ugp3ps.cc.o
make[1]: *** [CMakeFiles/Makefile2:1314: _deps/colmap-build/src/thirdparty/SiftGPU/CMakeFiles/colmap_sift_gpu.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
why and how to fix ,answer in chinese

2. install step

cpp 复制代码 
cmake .. -DCMAKE_CUDA_ARCHITECTURES="75"
make -j20

3. reason

这个错误提示 nvcc fatal : Unsupported gpu architecture 'compute_89'，表明你的CUDA编译器不支持目标GPU架构compute_89。可能的原因是你的CUDA版本较旧，不支持最新的GPU架构。

要解决这个问题，你可以尝试以下方法：

方法1：修改目标GPU架构

修改CMakeLists.txt文件，将不支持的GPU架构移除或替换为你的CUDA版本支持的架构。

  1. 打开涉及CUDA编译选项的CMakeLists.txt文件。

  2. 查找设置CUDA_ARCHITECTURES或类似选项的部分，通常看起来像这样：

    cmake 复制代码 
    set(CUDA_ARCHITECTURES "compute_89")

  3. 修改为你的CUDA版本支持的架构，例如compute_75（适用于NVIDIA Turing架构的GPU）：

    cmake 复制代码 
    set(CUDA_ARCHITECTURES "compute_75")
方法2：更新CUDA工具包

确保你使用的是最新版本的CUDA工具包。新的版本可能支持最新的GPU架构。

  1. 移除现有的CUDA工具包：

    bash 复制代码 
    sudo apt-get remove --purge cuda
sudo apt-get autoremove

  2. 下载并安装最新版本的CUDA工具包 ：

    从NVIDIA的CUDA下载页面下载并安装适合你的系统的最新版本。

  3. 重启并验证CUDA版本：

    bash 复制代码 
    nvcc --version
方法3：在CMake中手动设置CUDA编译选项

在调用CMake时手动设置CUDA编译选项以匹配你的GPU架构。

  1. 进入你的构建目录：

    bash 复制代码 
    cd /home/sun/3d/glomap/build

  2. 运行CMake命令并指定支持的CUDA架构：

    bash 复制代码 
    cmake .. -DCMAKE_CUDA_ARCHITECTURES="75"

通过这些步骤，你应该能够解决compute_89架构不支持的问题并成功编译项目。如果问题仍然存在，请提供进一步的错误信息，以便更好地帮助你解决问题。

4 reference

  1. ceres-solver
  2. colmap
  3. glomap
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