Python ubuntu中build wheel dlib中的setup.py将永远持续下去

我正在尝试在python3（3.5版）中安装带有pip3的人脸识别模块。我已经安装了所有预先要求的模块，包括cmake、libboost等。但是，每当我尝试使用以下命令安装face_recognition时-

    sudo -H pip3 install face_recognition

P>终端在构建轮DLIB中被卡在了上线，在长时间出现关于C++和CGuess失败的一些错误之后，它似乎永远继续下去。

smartdb@ubuntu:~$ sudo -H pip3 install face_recognition
[sudo] password for smartdb: 
Collecting face_recognition
  Downloading face_recognition-1.0.0-py2.py3-none-any.whl
Requirement already satisfied: Pillow in /usr/lib/python3/dist-packages (from face_recognition)
Requirement already satisfied: scipy>=0.17.0 in /usr/local/lib/python3.5/dist-packages (from face_recognition)
Collecting Click>=6.0 (from face_recognition)
  Downloading click-6.7-py2.py3-none-any.whl (71kB)
    100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 71kB 400kB/s 
Requirement already satisfied: numpy in /usr/local/lib/python3.5/dist-packages (from face_recognition)
Collecting face-recognition-models>=0.2.0 (from face_recognition)
  Downloading face_recognition_models-0.3.0.tar.gz (100.1MB)
    100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 100.2MB 2.8kB/s 
Collecting dlib>=19.5 (from face_recognition)
  Using cached dlib-19.8.1.tar.gz
Building wheels for collected packages: face-recognition-models, dlib
  Running setup.py bdist_wheel for face-recognition-models ... done
  Stored in directory: /root/.cache/pip/wheels/05/32/f2/440351db9ce1eb483696f83300f3d313f2f265403f0e69c481
  Running setup.py bdist_wheel for dlib ... error
  Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-qdefttr5/dlib/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmp57qgi2e_pip-wheel- --python-tag cp35:
  running bdist_wheel
  running build
  Detected Python architecture: 64bit
  Detected platform: linux
  Configuring cmake ...
  -- The C compiler identification is GNU 6.3.0
  -- The CXX compiler identification is GNU 6.3.0
  -- 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
  CMake Warning at /usr/share/cmake-3.7/Modules/FindBoost.cmake:1534 (message):
    No header defined for python-py34; skipping header check
  Call Stack (most recent call first):
    /tmp/pip-build-qdefttr5/dlib/dlib/cmake_utils/add_python_module:66 (FIND_PACKAGE)
    CMakeLists.txt:9 (include)
  -- Could NOT find Boost
  CMake Warning at /usr/share/cmake-3.7/Modules/FindBoost.cmake:1534 (message):
    No header defined for python-py35; skipping header check
  Call Stack (most recent call first):
    /tmp/pip-build-qdefttr5/dlib/dlib/cmake_utils/add_python_module:68 (FIND_PACKAGE)
    CMakeLists.txt:9 (include)
  -- Boost version: 1.62.0
  -- Found the following Boost libraries:
  --   python-py35
  -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.5m.so (found suitable version "3.5.3", minimum required is "3.4")
  -- Enabling SSE4 instructions
  -- Looking for pthread.h
  -- Looking for pthread.h - found
  -- Looking for pthread_create
  -- Looking for pthread_create - not found
  -- 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 XOpenDisplay in /usr/lib/x86_64-linux-gnu/libX11.so;/usr/lib/x86_64-linux-gnu/libXext.so
  -- Looking for XOpenDisplay in /usr/lib/x86_64-linux-gnu/libX11.so;/usr/lib/x86_64-linux-gnu/libXext.so - found
  -- Looking for gethostbyname
  -- Looking for gethostbyname - found
  -- Looking for connect
  -- Looking for connect - found
  -- Looking for remove
  -- Looking for remove - found
  -- Looking for shmat
  -- Looking for shmat - found
  -- Looking for IceConnectionNumber in ICE
  -- Looking for IceConnectionNumber in ICE - found
  -- Found X11: /usr/lib/x86_64-linux-gnu/libX11.so
  -- Looking for png_create_read_struct
  -- Looking for png_create_read_struct - found
  -- Searching for BLAS and LAPACK
  -- Searching for BLAS and LAPACK
  -- Found PkgConfig: /usr/bin/pkg-config (found version "0.29.1")
  -- Checking for module 'cblas'
  --   No package 'cblas' found
  -- Checking for module 'lapack'
  --   No package 'lapack' found
  -- Looking for sys/types.h
  -- Looking for sys/types.h - found
  -- Looking for stdint.h
  -- Looking for stdint.h - found
  -- Looking for stddef.h
  -- Looking for stddef.h - found
  -- Check size of void*
  -- Check size of void* - done
  -- A library with BLAS API not found. Please specify library location.
  -- LAPACK requires BLAS
   *****************************************************************************
   *** No BLAS library found so using dlib's built in BLAS.  However, if you ***
   *** install an optimized BLAS such as OpenBLAS or the Intel MKL your code ***
   *** will run faster.  On Ubuntu you can install OpenBLAS by executing:    ***
   ***    sudo apt-get install libopenblas-dev liblapack-dev                 ***
   *** Or you can easily install OpenBLAS from source by downloading the     ***
   *** source tar file from http://www.openblas.net, extracting it, and      ***
   *** running:                                                              ***
   ***    make; sudo make install                                            ***
   *****************************************************************************
  CUDA_TOOLKIT_ROOT_DIR not found or specified
  -- Could NOT find CUDA (missing:  CUDA_TOOLKIT_ROOT_DIR CUDA_NVCC_EXECUTABLE CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) (Required is at least version "7.5")
  -- Disabling CUDA support for dlib.  DLIB WILL NOT USE CUDA
  -- C++11 activated.
  -- USING BOOST_LIBS: /usr/lib/x86_64-linux-gnu/libboost_python-py35.so
  -- Found PythonInterp: /usr/bin/python3.5 (found version "3.5.3")
  -- Found Python with installed numpy package
  -- Numpy include path '/usr/local/lib/python3.5/dist-packages/numpy/core/include'
  -- Configuring done
  -- Generating done
  -- Build files have been written to: /tmp/pip-build-qdefttr5/dlib/tools/python/build
  Build using cmake ...
  Scanning dependencies of target dlib
  [  0%] Building CXX object dlib_build/CMakeFiles/dlib.dir/base64/base64_kernel_1.cpp.o
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  c++: internal compiler error: Killed (program cc1plus)
  Please submit a full bug report,
  with preprocessed source if appropriate.
  See <file:///usr/share/doc/gcc-6/README.Bugs> for instructions.
  CMakeFiles/dlib_.dir/build.make:278: recipe for target 'CMakeFiles/dlib_.dir/src/sequence_segmenter.cpp.o' failed
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  Makefile:127: recipe for target 'all' failed
  make: *** [all] Error 2
  error: cmake build failed!

  ----------------------------------------
  Failed building wheel for dlib

smartdb@ubuntu：~$sudo-H pip3安装人脸识别
smartdb的[sudo]密码：
采集人脸识别
下载人脸识别-1.0.0-py2.py3-none-any.whl
已满足要求：枕头在/usr/lib/python3/dist包装中（来自面部识别）
已满足要求：scipy>=0.17.0 in/usr/local/lib/python3.5/dist-packages（来自人脸识别）
采集点击>=6.0（来自人脸识别）
下载click-6.7-py2.py3-none-any.whl（71kB）
100%||ままままままままままま71kB/s
已满足要求：numpy in/usr/local/lib/python3.5/dist-packages（来自人脸识别）
收集人脸识别模型>=0.2.0（来自人脸识别）
下载人脸识别模型-0.3.0.tar.gz（100.1MB）
100%阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔法阿尔
收集dlib>=19.5（来自人脸识别）
使用缓存的dlib-19.8.1.tar.gz
为收集的包构建轮子：人脸识别模型，dlib
正在为人脸识别模型运行setup.py bdist_wheel。。。完成
存储在目录：/root/.cache/pip/wheels/05/32/f2/440351db9ce1eb483696f83300f3d313f2f265403f0e69c481中
正在为dlib运行setup.py bdist_控制盘。。。错误
从命令/usr/bin/python3-u-c“import setuptools，tokenize；uuu file uu=”/tmp/pip-build-qdefttr5/dlib/setup.py'；f=getattr（tokenize，'open'，open）（uuu file_uuu）；code=f.read（）。replace（'\r\n'，'\n'）；f.close（）；exec（compile（code，uuu file，'exec'））“bdist_uwheel-d/tmp/tmp5; pipq2e-cproel-35:
运转的车轮
运行构建
检测到的Python体系结构：64位
检测到的平台：linux
正在配置cmake。。。
--C编译器标识为GNU6.3.0
--CXX编译器标识为GNU 6.3.0
--检查C编译器是否工作：/usr/bin/cc
--检查C编译器是否工作：/usr/bin/cc--works
--检测C编译器ABI信息
--检测C编译器ABI信息-完成
--检测C编译特性
--检测C编译特性-完成
--检查CXX编译器是否工作：/usr/bin/c++
--检查CXX编译器是否正常工作：/usr/bin/c++--正常工作
--检测CXX编译器ABI信息
--检测CXX编译器ABI信息-完成
--检测CXX编译特性
--检测CXX编译功能-完成
CMake警告位于/usr/share/CMake-3.7/Modules/FindBoost.CMake:1534（消息）：
没有为python-py34定义头；跳过标头检查
调用堆栈（最新调用优先）：
/tmp/pip-build-qdefttr5/dlib/dlib/cmake_utils/add_python_模块：66（查找包）
CMakeLists.txt:9（包括）
--找不到助推器
CMake警告位于/usr/share/CMake-3.7/Modules/FindBoost.CMake:1534（消息）：
没有为python-py35定义头；跳过标头检查
调用堆栈（最新调用优先）：
/tmp/pip-build-qdefttr5/dlib/dlib/cmake_utils/add_python_模块：68（查找包）
CMakeLists.txt:9（包括）
--Boost版本：1.62.0
--找到以下Boost库：
--python-py35
--找到PythonLibs:/usr/lib/x86_64-linux-gnu/libpython3.5m.so（找到合适的版本“3.5.3”，最低要求为“3.4”）
--启用SSE4指令
--正在查找pthread.h
--正在查找pthread.h-找到
--正在查找pthread_create
--正在查找pthread_create-未找到
--在pthreads中查找pthread_create
--在pthreads中查找pthread_create-未找到
--在pthread中查找pthread_create
--在pthread中查找pthread_create-找到
--找到的线程：TRUE
--在/usr/lib/x86_64-linux-gnu/libX11.so中查找XOpenDisplay/usr/lib/x86_64-linux-gnu/libXext.so
--在/usr/lib/x86_64-linux-gnu/libX11.so中查找XOpenDisplay/usr/lib/x86_64-linux-gnu/libXext.so-找到
--正在查找gethostbyname
--正在查找gethostbyname-找到
--寻找连接
--正在查找连接-已找到
--寻找移除
--正在查找删除-找到
--寻找希马特
--正在查找shmat-已找到
--正在ICE中查找IceConnectionNumber
--正在ICE中查找IceConnectionNumber-已找到
--找到X11:/usr/lib/x86_64-linux-gnu/libX11.so
--正在查找png\u创建\u读取\u结构
--正在查找png\u创建\u读取\u结构-找到
--寻找布拉斯和拉帕克
--寻找布拉斯和拉帕克
--找到pkg配置：/usr/bin/pkg配置（找到版本“0.29.1”）
--正在检查模块“cblas”
--找不到包“cblas”
--正在检查模块“lapack”
--找不到包“lapack”
--正在查找sys/types.h
--正在查找sys/types.h-找到
--正在寻找stdint.h
--正在查找stdint.h-找到
--寻找stddef.h
--正在查找stddef.h-找到
--检查空隙的大小*
--检查空隙的大小*-完成
--找不到具有BLAS API的库。请指定库位置。
--拉帕克需要BLAS
*****************************************************************************
***没有找到使用dlib内置BLAS的BLAS库。然而，如果你***
***安装优化的BLAS，如OpenBLAS或“英特尔MKL”浏览器，以显示您的代码***
***它会跑得更快。在Ubuntu上，您可以通过执行以下命令来安装OpenBLAS：***
***sudo apt get安装libopenblas dev liblapack dev***
***或者，您可以通过下载***
***源tar文件来自http://www.openblas.net，提取它，然后***
***运行：***
c++: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-6/README.Bugs>