最近在做NeRF方面的研究，看到了DS-NeRF，感觉挺适合作为baseline进行改进，所以跑了一下源码。试了一下官方的数据，没有问题。接着就想试一试自己的数据集。根据官方文档，要用自己的数据集的话需要用到COLMAP生成相机数据。所以开始了我的安（cai）装（keng）之路
附上DS-NeRF的GitHub：传送门
Centos安装踩的坑最开始网上搜了一篇教程：传送门https://blog.csdn.net/X_kh_2001/article/details/82591978
是基于ubuntu安装的，但是因为经常使用的机器是Centos,我就不信邪，同样都是linux系统，安装起来应该差不多。然后就开始借鉴centos安装的教程。也附上：传送门
https://blog.csdn.net/weixin_42252533/article/details/119143305
gcc -v Using built-in specs. COLLECT_GCC=gcc COLLECT_LTO_WRAPPER=/usr/local/libexec/gcc/x86_64-unknown-linux-gnu/5.4.0/lto-wrapper Target: x86_64-unknown-linux-gnu Configured with: ../configure -enable-checking=release -enable-languages=c,c++ -disable-multilib Thread model: posix gcc version 5.4.0 (GCC)
gcc版本是5.4.0，支持c++11，满足要求
然后检查cmake版本运行cmake -versioncmake -version cmake version 3.17.0-rc3 CMake suite maintained and supported by Kitware (kitware.com/cmake).
博客中推荐boost版本为1.58/1.66
本机器原版本为1.53，稳妥起见，更新到1.58
参考：传送门
其他依赖也都装上：
sudo yum install
gflags-devel
glog-devel
glew-devel
atlas
atlas-devel
lapack-devel
blas-devel
qt5-qtbase-devel
gflags和glog安装
这是两个大坑，首先两者的安装顺序很重要，据说要先安装glog然后再安装gflags。原因我也没有整明白。
gflags我在安装的时候十分顺利，test也是全部通过，但是后面还是报错。glog安装的时候，务必注意，不要去官方的git下去clone,会缺少autogen.sh和configure文件。选用这个仓库：传送门https://github.com/boboxxd/glog
首先要弄清楚包之间的依赖关系，方便检查有无缺失。
通过对于colmap进行cmake的结果来看
-- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found required Ceres dependency: Eigen version 3.3.4 in /usr/lib/cmake/eigen3 -- Found required Ceres dependency: glog -- Found required Ceres dependency: gflags -- Found Ceres version: 2.1.0 installed in: /usr/local with components: [EigenSparse, SparseLinearAlgebraLibrary, LAPACK, SuiteSparse, CXSparse, SchurSpecializations, Multithreading] -- Found Boost: /usr/include (found version "1.65.1") found components: program_options filesystem graph system unit_test_framework -- Found Eigen3: /usr/include/eigen3 (Required is at least version "2.91.0") -- Found Eigen -- Includes : /usr/include/eigen3 -- Found FreeImage -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libfreeimage.so -- Found Metis -- Includes : /usr/local/include -- Libraries : /usr/local/lib/libmetis.a -- Found Glog -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libglog.so -- Found OpenGL: /usr/lib/x86_64-linux-gnu/libOpenGL.so -- Found Glew -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libGLEW.so -- Found Git: /usr/bin/git (found version "2.17.1") -- Found CGAL -- Includes : /usr//include -- Libraries : /usr/lib/x86_64-linux-gnu/libCGAL.so.13.0.1 -- Build type not specified, using Release -- Enabling SIMD support -- Enabling OpenMP support -- Disabling interprocedural optimization -- Autodetected CUDA architecture(s): 6.1 6.1 -- Enabling CUDA support (version: 10.2, archs: sm_61) -- Disabling GUI support -- Disabling OpenGL support -- Disabling ccache support -- Disabling profiling support -- Enabling CGAL support -- Configuring done -- Generating done
可见COLMAP的依赖为：CeresSolver、Boost、Eigen、FreeImage、Metis、Glog、OpenGL、Glew、CGAL、CUDA
这几个缺一不可
在ubuntu上比centos上容易的关键我感觉就在于CeresSolver安装
因为CeresSolver官方给的linux安装教程就是基于ubuntu18.04的，所以按着教程来一路绿灯，不像在centos上面一样，都需要源码编译，处处踩坑。附上官方教程：传送门
http://ceres-solver.org/installation.html
安装CeresSolver的时候，Boost
安装完之后务必跑一下test测试一下有没有什么错误，要是无误会得到以下结果：
iter cost cost_change |gradient| |step| tr_ratio tr_radius ls_iter iter_time total_time
0 4.185660e+06 0.00e+00 1.09e+08 0.00e+00 0.00e+00 1.00e+04 0 7.59e-02 3.37e-01
1 1.062590e+05 4.08e+06 8.99e+06 5.36e+02 9.82e-01 3.00e+04 1 1.65e-01 5.03e-01
2 4.992817e+04 5.63e+04 8.32e+06 3.19e+02 6.52e-01 3.09e+04 1 1.45e-01 6.48e-01
3 1.899774e+04 3.09e+04 1.60e+06 1.24e+02 9.77e-01 9.26e+04 1 1.43e-01 7.92e-01
4 1.808729e+04 9.10e+02 3.97e+05 6.39e+01 9.51e-01 2.78e+05 1 1.45e-01 9.36e-01
5 1.803399e+04 5.33e+01 1.48e+04 1.23e+01 9.99e-01 8.33e+05 1 1.45e-01 1.08e+00
6 1.803390e+04 9.02e-02 6.35e+01 8.00e-01 1.00e+00 2.50e+06 1 1.50e-01 1.23e+00
Ceres Solver v2.0.0 Solve Report
----------------------------------
Original Reduced
Parameter blocks 22122 22122
Parameters 66462 66462
Residual blocks 83718 83718
Residual 167436 167436
Minimizer TRUST_REGION
Dense linear algebra library EIGEN
Trust region strategy LEVENBERG_MARQUARDT
Given Used
Linear solver DENSE_SCHUR DENSE_SCHUR
Threads 1 1
Linear solver threads 1 1
Linear solver ordering AUTOMATIC 22106, 16
Cost:
Initial 4.185660e+06
Final 1.803390e+04
Change 4.167626e+06
Minimizer iterations 6
Successful steps 6
Unsuccessful steps 0
Time (in seconds):
Preprocessor 0.261
Residual evaluation 0.082
Jacobian evaluation 0.412
Linear solver 0.442
Minimizer 1.051
Postprocessor 0.002
Total 1.357
Termination: ConVERGENCE (Function tolerance reached. |cost_change|/cost: 1.769766e-09 <= 1.000000e-06)
安装metis
很多教程都会忽略这个包，我在最后安装的时候根据报错才发现。
没有啥坑，根据教程来就好：传送门
https://blog.csdn.net/weixin_45858597/article/details/110845874
没什么好说的
安装Qt5最麻烦的一个步骤，问题也贼多。
由于没有图形化界面，所以全程使用命令行安装。
附上保姆级教程：传送门
在./configure -xcb的时候可能会报错，原因是依赖包不全。可以搜一下问题，是普遍存在的。可以参考这两个链接解决办法：
1:https://blog.csdn.net/markey1/article/details/119392028
2:https://www.itdaan.com/blog/2014/09/13/3c5b25a0d1f7864d7995a93d8ba143e6.html
其中编译过程较慢，需要等待2～3小时
判断是否成功可以检验一下：
qmake -v QMake version 3.1 Using Qt version 5.15.2 in /usr/local/Qt-5.15.2/lib测试COLMAP是否成功
由于没有图像化界面，咱们采用命令行测试
附上教程：传送门
先scp传点图片然后运行命令：
colmap feature_extractor --database_path ./database.db --image_path ../images
============================================================================== Feature extraction ============================================================================== Processed file [1/34] Name: IMG_2962.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.472 Features: 9061 Processed file [2/34] Name: IMG_2963.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.472 Features: 9016 Processed file [3/34] Name: IMG_2964.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.472 Features: 9405 Processed file [4/34] Name: IMG_2965.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.472 Features: 9525 Processed file [5/34] Name: IMG_2966.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.470 Features: 9300 Processed file [6/34] Name: IMG_2967.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.470 Features: 9278 Processed file [7/34] Name: IMG_2968.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.469 Features: 9345 Processed file [8/34] Name: IMG_2969.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.468 Features: 9073 Processed file [9/34] Name: IMG_2970.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.465 Features: 8911 Processed file [10/34] Name: IMG_2971.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.463 Features: 8901 Processed file [11/34] Name: IMG_2972.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.462 Features: 8737 Processed file [12/34] Name: IMG_2973.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.462 Features: 8944 Processed file [13/34] Name: IMG_2974.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.458 Features: 9301 Processed file [14/34] Name: IMG_2975.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.456 Features: 9450 Processed file [15/34] Name: IMG_2976.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.456 Features: 9593 Processed file [16/34] Name: IMG_2977.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.445 Features: 9410 Processed file [17/34] Name: IMG_2978.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.441 Features: 9206 Processed file [18/34] Name: IMG_2979.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.440 Features: 9288 Processed file [19/34] Name: IMG_2980.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.440 Features: 9761 Processed file [20/34] Name: IMG_2981.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.438 Features: 9460 Processed file [21/34] Name: IMG_2982.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.438 Features: 9674 Processed file [22/34] Name: IMG_2983.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.433 Features: 9501 Processed file [23/34] Name: IMG_2984.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.433 Features: 9335 Processed file [24/34] Name: IMG_2985.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.433 Features: 9227 Processed file [25/34] Name: IMG_2986.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.434 Features: 8774 Processed file [26/34] Name: IMG_2987.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.437 Features: 8747 Processed file [27/34] Name: IMG_2988.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.436 Features: 8777 Processed file [28/34] Name: IMG_2989.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.436 Features: 9070 Processed file [29/34] Name: IMG_2990.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.430 Features: 9425 Processed file [30/34] Name: IMG_2991.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.428 Features: 9198 Processed file [31/34] Name: IMG_2992.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.428 Features: 9156 Processed file [32/34] Name: IMG_2993.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.420 Features: 9518 Processed file [33/34] Name: IMG_2994.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.420 Features: 9380 Processed file [34/34] Name: IMG_2995.JPG Dimensions: 4032 x 3024 Camera: #1 - SIMPLE_RADIAL Focal Length: 3225.60px (Prior) GPS: LAT=37.874, LON=-122.238, ALT=215.421 Features: 9292 Elapsed time: 0.089 [minutes]
可以看出特征提取成功，COLMAP安装成功！！！完结撒花
总结1、配置环境还是得有耐心，由于之前Linux操作不够熟练，对于cmake不够熟悉，踩了太多坑，浪费了三四天时间，以至于被导师认为在摸鱼。但是还是得坚持，毕竟是后面项目的基础，硬骨头也一定得啃下来。
2、碰到问题要多搜索多思考，看着别人的教程，不仅要照着做，也要弄懂为啥这样，知其然也要知其所以然，这样才能解决问题，不然问题只会一个接一个。
3、虽然浪费了很多时间，但是也让自己对于Linux系统更加熟悉了，也对与cmake有了些许浅薄了解，也是很有收获的。
