卸载

sudo rm -rf /usr/local/lib/cmake/Ceres /usr/local/include/ceres /usr/local/lib/libceres.a

安装

sudo apt-get install libatlas-base-dev libsuitesparse-dev
git clone https://github.com/ceres-solver/ceres-solver
cd ceres-solver
git checkout $(git describe --tags)
mkdir build
cd build
cmake .. -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF
make -j12
sudo make install

 1、cmake

cmake时的日志

(base) r****@r*******:~/3dTracking/tools/ceres-solver-1.14.0$ sudo apt-get install libgtest-dev
Reading package lists... Done
Building dependency tree       
Reading state information... Done
libgtest-dev is already the newest version (1.10.0-2).
(base) r****@r*******:~/3dTracking/tools/ceres-solver-1.14.0/build$ cmake ..
-- 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
-- Detected Ceres version: 1.14.0 from /home/r****/3dTracking/tools/ceres-solver-1.14.0/include/ceres/version.h
-- No preference for use of exported Eigen CMake configuration set, and no hints for include directory provided. Defaulting to preferring an installed/exported Eigen CMake configuration if available.
-- Found installed version of Eigen: /usr/local/share/eigen3/cmake
-- Found Eigen: /usr/local/include/eigen3 (found version "3.3.90") 
-- Found Eigen version 3.3.90: /usr/local/include/eigen3
-- Enabling use of Eigen as a sparse linear algebra library.
-- Looking for sgemm_
-- Looking for sgemm_ - not found
-- 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  
-- Looking for dgemm_
-- Looking for dgemm_ - found
-- Found BLAS: /usr/lib/x86_64-linux-gnu/libf77blas.so;/usr/lib/x86_64-linux-gnu/libatlas.so  
-- Found LAPACK library: /usr/lib/x86_64-linux-gnu/liblapack.so;/usr/lib/x86_64-linux-gnu/libf77blas.so;/usr/lib/x86_64-linux-gnu/libatlas.so
-- Found AMD headers in: /usr/include/suitesparse
-- Found AMD library: /usr/lib/x86_64-linux-gnu/libamd.so
-- Found CAMD headers in: /usr/include/suitesparse
-- Found CAMD library: /usr/lib/x86_64-linux-gnu/libcamd.so
-- Found COLAMD headers in: /usr/include/suitesparse
-- Found COLAMD library: /usr/lib/x86_64-linux-gnu/libcolamd.so
-- Found CCOLAMD headers in: /usr/include/suitesparse
-- Found CCOLAMD library: /usr/lib/x86_64-linux-gnu/libccolamd.so
-- Found CHOLMOD headers in: /usr/include/suitesparse
-- Found CHOLMOD library: /usr/lib/x86_64-linux-gnu/libcholmod.so
-- Found SUITESPARSEQR headers in: /usr/include/suitesparse
-- Found SUITESPARSEQR library: /usr/lib/x86_64-linux-gnu/libspqr.so
-- Did not find Intel TBB library, assuming SuiteSparseQR was not compiled with TBB.
-- Found SUITESPARSE_CONFIG headers in: /usr/include/suitesparse
-- Found SUITESPARSE_CONFIG library: /usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so
-- Found LIBRT library: /usr/lib/x86_64-linux-gnu/librt.so
-- Adding librt: /usr/lib/x86_64-linux-gnu/librt.so to SuiteSparse_config libraries (required on Linux & Unix [not OSX] if SuiteSparse is compiled with timing).
-- Found METIS library: /usr/lib/x86_64-linux-gnu/libmetis.so
-- Found SuiteSparse: TRUE (found version "5.7.1") 
-- Found SuiteSparse 5.7.1, building with SuiteSparse.
-- Found CXSparse: /usr/include/suitesparse (found version "3.2.0") 
-- Found CXSparse version: 3.2.0, building with CXSparse.
-- No preference for use of exported gflags CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported gflags CMake configuration if available.
-- Found installed version of gflags: /usr/lib/x86_64-linux-gnu/cmake/gflags
-- Detected gflags version: 2.2.2
-- Found Gflags: /usr/include  
-- Found Google Flags header in: /usr/include, in namespace: google
-- No preference for use of exported glog CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported glog CMake configuration if available.
-- Found installed version of glog: /usr/local/lib/cmake/glog
-- Detected glog version: 0.6.0
-- Found Glog: glog::glog  
-- Found Google Log (glog). Assuming glog was built with gflags support as gflags was found. This will make gflags a public dependency of Ceres.
-- Building with OpenMP.
-- Performing Test COMPILER_HAS_CXX11_FLAG
-- Performing Test COMPILER_HAS_CXX11_FLAG - Success
-- Looking for C++ include unordered_map
-- Looking for C++ include unordered_map - found
-- Performing Test HAVE_UNORDERED_MAP_IN_STD_NAMESPACE
-- Performing Test HAVE_UNORDERED_MAP_IN_STD_NAMESPACE - Success
-- Found unordered_map/set in std namespace.
-- Looking for C++ include memory
-- Looking for C++ include memory - found
-- Performing Test HAVE_SHARED_PTR_IN_STD_NAMESPACE
-- Performing Test HAVE_SHARED_PTR_IN_STD_NAMESPACE - Success
-- Found shared_ptr in std namespace using <memory> header.
-- Performing Test CXX11_MATH_FUNCTIONS_FOUND
-- Performing Test CXX11_MATH_FUNCTIONS_FOUND - Success
-- Building Ceres as a static library.
-- No build type specified; defaulting to CMAKE_BUILD_TYPE=Release.
-- Creating configured Ceres config.h output directory: /home/r****/3dTracking/tools/ceres-solver-1.14.0/build/config/ceres/internal
-- Enabling CERES_USE_EIGEN_SPARSE in Ceres config.h
-- Enabling CERES_USE_OPENMP in Ceres config.h
-- Enabling CERES_HAVE_PTHREAD in Ceres config.h
-- Enabling CERES_HAVE_RWLOCK in Ceres config.h
-- Enabling CERES_STD_UNORDERED_MAP in Ceres config.h
-- Build the examples.
-- Configuring done
-- Generating done
-- Build files have been written to: /home/r****/3dTracking/tools/ceres-solver-1.14.0/build

2、make

报错：error: ambiguous overload for ‘operator<<’

解决：安装较新版本的glog

下载0.6.0版本：Release google-glog 0.6.0 · google/glog · GitHub

tar -zxvf glog-0.6.0.tar.gz
cd glog
mkdir build
cd build
cmake ..
make -j 24
sudo make install

成功安装后重新make

make日志过长，省略，只放最后几行

[100%] Building CXX object examples/slam/pose_graph_3d/CMakeFiles/pose_graph_3d.dir/pose_graph_3d.cc.o
[100%] Linking CXX executable ../../../bin/pose_graph_3d
[100%] Built target pose_graph_3d

3、make install，成功

日志过长，省略，只放最后几行

-- Installing: /usr/local/lib/cmake/Ceres/CeresConfigVersion.cmake
-- Installing: /usr/local/lib/cmake/Ceres/FindEigen.cmake
-- Installing: /usr/local/lib/cmake/Ceres/FindGlog.cmake
-- Installing: /usr/local/lib/cmake/Ceres/FindGflags.cmake
-- Installing: /usr/local/lib/libceres.a

4、测试

 CMakeLists.txt如下

cmake_minimum_required(VERSION 3.8.0)
 
project(ceres_example)
 
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
 
find_package(Ceres REQUIRED)
 
include_directories(
  ${CERES_INCLUDE_DIRS}
)
 
add_executable(ceres_example
ceres_example.cpp)
 
target_link_libraries(ceres_example
    ${CERES_LIBRARIES}
)

例程如下

#include <ceres/ceres.h>
 
class CostFunctor {
public:
    template <typename T>
    bool operator()(const T* const x, T* residual) const
    {
        residual[0] = 10.0 - x[0];
        return true;
    }
};
 
int main(int argc, char const* argv[])
{
    double initial_x = 5.0;
    double x = initial_x;
 
    // Build the problem.
    ceres::Problem problem;
 
    // Set up the only cost function (also known as residual). This uses
    // auto-differentiation to obtain the derivative (jacobian).
    ceres::CostFunction* cost_function = new ceres::AutoDiffCostFunction<CostFunctor, 1, 1>(new CostFunctor);
    problem.AddResidualBlock(cost_function, nullptr, &x);
 
    // Run the solver!
    ceres::Solver::Options options;
    options.linear_solver_type = ceres::DENSE_QR;
    options.minimizer_progress_to_stdout = true;
    ceres::Solver::Summary summary;
    Solve(options, &problem, &summary);
 
    std::cout << summary.BriefReport() << "\n";
    std::cout << "x : " << initial_x
              << " -> " << x << "\n";
    return 0;
}

mkdir build
cd build
cmake ..
make
./ceres_example

 输出如下

(base) r***@r***-*-***:~/tools/testCeres/build$ ./ceres_example
iter      cost      cost_change  |gradient|   |step|    tr_ratio  tr_radius  ls_iter  iter_time  total_time
   0  1.250000e+01    0.00e+00    5.00e+00   0.00e+00   0.00e+00  1.00e+04        0    1.79e-05    4.24e-05
   1  1.249750e-07    1.25e+01    5.00e-04   5.00e+00   1.00e+00  3.00e+04        1    3.17e-05    2.31e-04
   2  1.388518e-16    1.25e-07    1.67e-08   5.00e-04   1.00e+00  9.00e+04        1    4.95e-06    2.44e-04
Ceres Solver Report: Iterations: 3, Initial cost: 1.250000e+01, Final cost: 1.388518e-16, Termination: CONVERGENCE
x : 5 -> 10

参考：

error: ambiguous overload for ‘operator＜＜’ (operand types are ‘std::ostream {aka std::basic_ostream_赫本的猫689的博客-CSDN博客

三维重建_COLMAP安装、使用和参数说明（翻译自官方文档）_圣右的博客-CSDN博客

关于ubuntu18.04中Ceres solver安装与测试-CSDN博客