解决windows10下安装dlib与face-recognition的问题
以后博客更新内容都会在oldpan.me中
github中相关问题解决方法：https://github.com/ageitgey/face_recognition/issues/175#issue-257710508
对于安装face-recognition在window的方法，在dlib的github中的issue中已经有人进行了回答，但是回答者较为复杂，且有些步骤可以简化一下。
问题原因
安装face-recognition需要首先安装dlib
windows无法直接安装dlib的原因主要是因为缺少相应的编译环境，只要安装好相应的编译环境即可。
相关软件
1、VS 2015 C++相关组件，注意，需要的是2015而不是2017，VS2017的相关组件对C++编译的支持并不好，因此必须下载安装好VS2015的C++相关组件。
注意：VS 2015 安装器默认不安装C++相关组件，需要自己选择添加安装！！
2、Boost C++ Libraries，下载好Third Party Downloads-Windows Binaries中的boost_1_66_0-msvc-14.0-64.exe，点击exe安装到C盘，到期安装目录，点击b2进行编译，编译好的文件放到了stage中。
3、安装cmake，百度直接安装即可，cmake在安装过程中切记选择添加路径到环境变量中。
问题解决
安装好上面说的三个部件后，直接运行pip install face-recognition即可，会将dlib一并安装。
出现以下信息说明安装成功。
C:\Users\dell\PycharmProjects\Pytorch-Learn>C:\Users\dell\Anaconda3\envs\my-pytorch\Scripts\pip install face-recognition
Collecting face-recognition
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/fa/2d/dbb78acb411de238869451afae8387ae8200d3fe0672f6817a918e03ca49/face_recognition-1.0.0-py2.py3-none-any.whl
Requirement already satisfied: Pillow in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from face-recognition)
Requirement already satisfied: numpy in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from face-recognition)
Requirement already satisfied: face-recognition-models>=0.2.0 in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from face-recognition)
Requirement already satisfied: scipy>=0.17.0 in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from face-recognition)
Collecting dlib>=19.5 (from face-recognition)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/23/7a/891d4c46cdf755fb69eec0f06a53033d3754bf68ace5342ad56aeb540aa1/dlib-19.9.0.tar.gz
Requirement already satisfied: Click>=6.0 in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from face-recognition)
Requirement already satisfied: olefile in c:\users\dell\anaconda3\envs\my-pytorch\lib\site-packages (from Pillow->face-recognition)
Building wheels for collected packages: dlib
Running setup.py bdist_wheel for dlib ... done
Stored in directory: C:\Users\dell\AppData\Local\pip\Cache\wheels\5d\94\db\0ddfd06142fc4ee80b89d1e6cd158185a9bf40d93b8d92e2ee
Successfully built dlib
Installing collected packages: dlib, face-recognition
Successfully installed dlib-19.9.0 face-recognition-1.0.0
