1. 安装

下载项目

git clone --recursive https://github.com/nvlabs/instant-ngp
cd instant-ngp

安装环境

pip install -r requirements.txt
cmake -S . -B build

问题1

CMake Error: The source directory "/home/xxx/graphics_primitives/instant-ngp/build" does not appear to contain CMakeLists.txt.
Specify --help for usage, or press the help button on the CMake GUI.
# 老版本cmake会读取build下的配置文件, 新版本不用, 所以升级cmake版本
或

CMake Error at CMakeLists.txt:9 (cmake_minimum_required):
  CMake 3.19 or higher is required.  You are running version 3.10.2

-- Configuring incomplete, errors occurred!

解决: 升级CMake

非root安装cmake
wget https://github.com/Kitware/CMake/releases/download/v3.23.0/cmake-3.23.0.tar.gz
tar zxvf cmake-3.23.0.tar.gz && cd cmake-3.23.0
~~./bootstrap~~ 
./bootstrap -- -DCMAKE_USE_OPENSSL=OFF # 非root下可以选择关闭openssl防止报错
./configure --prefix=/.../cmake # 设置在自己目录下
make
make install

vim ~/.bashrc
export PATH=/home/xxx/cmake/bin:$PATH
source ~/.bashrc

问题: ./bootstrap时报错

 CMake Error at Utilities/cmcurl/CMakeLists.txt:586 (message):
  Could not find OpenSSL.  Install an OpenSSL development package or
  configure CMake with -DCMAKE_USE_OPENSSL=OFF to build without OpenSSL.

解决: 没有开发版OpenSSL, 不使用openssl

# apt-get install libssl-dev
# 非root
./bootstrap -- -DCMAKE_USE_OPENSSL=OFF

问题: ./configure –prefix=/…/cmake 地址写错或没有权限

-- No release type specified. Setting to 'Release'.
CMake Error at CMakeLists.txt:38 (message):
  Some instant-ngp dependencies are missing.  If you forgot the "--recursive"
  flag when cloning this project, this can be fixed by calling "git submodule
  update --init --recursive".

CMAKE_CUDA_ARCHITECTURES must be valid if set.
- 解决: 删除build文件夹

cmake --build build --config RelWithDebInfo -j 16

问题1: nvcc fatal : Unsupported gpu architecture ‘compute_80+PTX’

[  1%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cpp_api.cu.o
[  3%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cutlass_mlp.cu.o
[  5%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/loss.cu.o
[  7%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common.cu.o
[ 10%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/encoding.cu.o
[ 10%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common_device.cu.o
[ 12%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/network.cu.o
[ 14%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o
[ 18%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/object.cu.o
[ 18%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/reduce_sum.cu.o
[ 20%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/fully_fused_mlp.cu.o
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:103: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cpp_api.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cpp_api.cu.o] Error 1
make[2]: *** Waiting for unfinished jobs....
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:145: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/loss.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/loss.cu.o] Error 1
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:75: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common.cu.o] Error 1
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:117: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cutlass_mlp.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/cutlass_mlp.cu.o] Error 1
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:89: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common_device.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common_device.cu.o] Error 1
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:159: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/network.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/network.cu.o] Error 1
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:131: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/encoding.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/encoding.cu.o] Error 1
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:187: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o] Error 1
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
nvcc fatal   : Unsupported gpu architecture 'compute_80+PTX'
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:173: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/object.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/object.cu.o] Error 1
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:215: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/fully_fused_mlp.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/fully_fused_mlp.cu.o] Error 1
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:201: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/reduce_sum.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/reduce_sum.cu.o] Error 1
CMakeFiles/Makefile2:305: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all' failed
make[1]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
[ 49%] Built target glfw_objects
Makefile:90: recipe for target 'all' failed
make: *** [all] Error 2

解决: 在instant-ngp/CMakeLists.txt顶部添加:

后面的数字是显卡的算力, 以nccl中设定的算力为准
```
set( ENV{TCNN_CUDA_ARCHITECTURES} 75 )
```

问题2: make[1]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all] Error 2

Consolidate compiler generated dependencies of target tiny-cuda-nn
[ 29%] Built target glfw_objects
[ 30%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/shampoo.h(753): error: identifier "cublasSetWorkspace" is undefined
          detected during:
            instantiation of "tcnn::ShampooOptimizer<T>::ShampooOptimizer(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu(71): here
            instantiation of "tcnn::Optimizer<T> *tcnn::create_optimizer<T>(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/average.h(65): here

/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/shampoo.h(771): error: identifier "cublasSetWorkspace" is undefined
          detected during:
            instantiation of "tcnn::ShampooOptimizer<T>::ShampooOptimizer(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu(71): here
            instantiation of "tcnn::Optimizer<T> *tcnn::create_optimizer<T>(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/average.h(65): here

/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/shampoo.h(794): error: identifier "cublasSetWorkspace" is undefined
          detected during:
            instantiation of "tcnn::ShampooOptimizer<T>::ShampooOptimizer(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu(71): here
            instantiation of "tcnn::Optimizer<T> *tcnn::create_optimizer<T>(const tcnn::json &) [with T=float]" 
/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/average.h(65): here

3 errors detected in the compilation of "/home/xxx/graphics_primitives/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu".
dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:187: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o' failed
make[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/optimizer.cu.o] Error 1
CMakeFiles/Makefile2:305: recipe for target 'dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all' failed
make[1]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all] Error 2
Makefile:90: recipe for target 'all' failed
make: *** [all] Error 2

原因: nccl对应cuda版本是11.0, 不是11.4.

解决: 重装cuda或nccl

cmake查错: 后面加-v, 能显示报错的行.

只需要python虚拟环境的服务器中的配置

pip install -r requirements.txt
export TCNN_CUDA_ARCHITECTURES=86

下载并安装 OptiX，并设置 OptiX_INSTALL_DIR 环境变量

[https://developer.download.nvidia.cn/designworks/optix/secure/7.4.0/NVIDIA-OptiX-SDK-7.4.0-linux64-x86_64.sh?Y1wWl64XXNqxb7ETeQnMC1FDmN-fg1gq7yFZP75uvqo80VkyJjPEU3cEJtIRP3v6wmsgw55EbgwyzswJ4A0GXWe5B-UAyQ5Xb5u7L5Sn7Ty8RTcxARIb_EABVVHU-MCH_g75f9_YxdflsT30csKrIWTrIdMjRbKKwOb4lXPIGyZcCQo_3zg&t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczpcL1wvd3d3Lmdvb2dsZS5jb21cLyJ91](https://developer.download.nvidia.cn/designworks/optix/secure/7.4.0/NVIDIA-OptiX-SDK-7.4.0-linux64-x86_64.sh?Y1wWl64XXNqxb7ETeQnMC1FDmN-fg1gq7yFZP75uvqo80VkyJjPEU3cEJtIRP3v6wmsgw55EbgwyzswJ4A0GXWe5B-UAyQ5Xb5u7L5Sn7Ty8RTcxARIb_EABVVHU-MCH_g75f9_YxdflsT30csKrIWTrIdMjRbKKwOb4lXPIGyZcCQo_3zg&t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczpcL1wvd3d3Lmdvb2dsZS5jb21cLyJ91112#)

需要将 CUDA 升级至 11.4，可以多版本 CUDA 并存，但是将环境变量链接至

export OptiX_INSTALL_DIR=/home/xxx/Install/NVIDIA-OptiX-SDK-7.4.0-linux64-x86_64

2. 测试

使用现有图片进行测试

./build/testbed --scene data/nerf/fox
# or
python scripts/run.py --scene ./data/my_data/lego_car/ --mode nerf --save_mesh ./output/lego_car.ply --gui

问题

./build/testbed: relocation error: ./build/testbed: symbol cublasSetWorkspace_v2 version libcublas.so.11 not defined in file libcublas.so.11 with link time reference

使用python scripts/run.py查看错误

Traceback (most recent call last):
  File "scripts/run.py", line 25, in <module>
    import pyngp as ngp # noqa
ImportError: /home/xxx/graphics_primitives/instant-ngp/build/pyngp.cpython-37m-x86_64-linux-gnu.so: symbol cublasSetWorkspace_v2 version libcublas.so.11 not defined in file libcublas.so.11 with link time reference

原因, 环境配置错误

图片transform

python scripts/colmap2nerf.py --run_colmap --colmap_matcher exhaustive --images ./data/image_samples/crocodile/image --aabb_scale 16 --out ./data/image_samples/crocodile/transforms.json

3. docker

docker build - < Dockerfile
docker run --runtime=nvidia --name [name] --gpus all -it -p 10022:22 [Container ID]
docker start [Container ID]
docker exec -i -t [Container ID] bash
# 使用Dockerfile配置文件

docker install X11
apt-get install -y xserver-xorg-core
apt-get install x11-xserver-utils
export DISPLAY=[client ip addr]:0.0
xhost +
python scripts/run.py

4. colmap

install ceres-solver

git clone https://github.com/ceres-solver/ceres-solver
cd ./ceres-solver
git checkout 2.0.0
mkdir ./build
cd build
cmake ../ -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF -DCMAKE_INSTALL_PREFIX:PATH=/home/xxx/Install
make -j
make install

set ceres enviroment

# cuda
export CUDA_HOME=/home/xxx/Install/cuda-11.4.2
export PATH=/home/xxx/Install/cuda-11.4.2/bin:$PATH
export LD_LIBRARY_PATH=/home/xxx/Install/cuda-11.4.2/lib64:$LD_LIBRARY_PATH
# cmake
export PATH=/home/xxx/Install/cmake/bin:$PATH
# ceres
export CERES_LIBRARIES=/home/xxx/Install/lib:$CERES_LIBRARIES
export CERES_INCLUDE_DIRS=/home/xxx/Install/inculde:$CERES_INCLUDE_DIRS
# $HOME all
export LD_LIBRARY_PATH=/home/xxx/Install/lib:$LD_LIBRARY_PATH
export PATH=/home/xxx/Install/bin:$PATH
# OptiX
export OptiX_INSTALL_DIR=/home/xxx/Install/NVIDIA-OptiX-SDK-7.4.0-linux64-x86_64

install colmap

git clone https://github.com/colmap/colmap
cd ./colmap
mkdir ./build
cd build
cmake .. # -DCMAKE_INSTALL_PREFIX:PATH=/home/xxx/Install
make -j
make install
colmap -h

问题METIS_INCLUDE_DIRS-NOTFOUND
- 解决方法安装libmetis-dev

1. 安装#

只需要python虚拟环境的服务器中的配置#

2. 测试#

3. docker#

4. colmap#

1. 安装

只需要python虚拟环境的服务器中的配置

2. 测试

3. docker

4. colmap