尝试使用Dlib进行人脸检测
环境Windows10 64bit python3.6
Install Visual Studio 2015
https://my.visualstudio.com/Downloads?q=visual studio 2015&wt.mc_id=o~msft~vscom~older-downloads
Install CMake latest
https://cmake.org/download/
/不建议在已经安装python的情况下安装Anaconda///
Install Anaconda(python 3.6) latest
设置Anaconda的python3.6环境
conda create -n py36 python=3.6 anaconda activate myenvhttps://www.anaconda.com/download/#download
//
Install Boost.Python 1.57 一开始用的最新版本会出现问题，改用1.57可以
https://sourceforge.net/projects/boost/files/boost/1.57.0/boost_1_57_0.zip/download
解压
P.S.如果直接在下一步运行dlib的python setup.py install
照做就好，记得每次设置完环境变量重启开启控制台
我的系统中：
BOOST_ROOT=C:\software\boost\boost_1_57_0
BOOST_LIBRARYDIR=C:\software\boost\boost_1_57_0\libs
b2 installPath+C:\software\boost\boost_1_57_0\bin.v2
b2 -a --with-python address-model=64 toolset=msvc runtime-link=staticBOOST_LIBRARYDIR=C:\software\boost\boost_1_57_0\stage\lib
如果成功应该显示:
执行中出现Unknown compiler version - please run the configure tests and report the results
到boost/config/compiler/visualc.hpp根据VS版本修改
Install skimage
pip install scikit-image
Install Dlib 19.4
https://osdn.net/projects/sfnet_dclib/downloads/dlib/v19.4/dlib-19.4.zip/
//似乎经过上述步骤之后可以直接python setup.py install 甚至pip install dlib
Build Dlib library
解压进入目录
mkdir build cd build # If you don’t have Anaconda cmake -G "Visual Studio 14 2015 Win64" -DCMAKE_INSTALL_PREFIX=install .. # If you have Anaconda installed on your machine cmake -G "Visual Studio 14 2015 Win64" ` -DJPEG_INCLUDE_DIR=..\dlib\external\libjpeg ` -DJPEG_LIBRARY=..\dlib\external\libjpeg ` -DPNG_PNG_INCLUDE_DIR=..\dlib\external\libpng ` -DPNG_LIBRARY_RELEASE=..\dlib\external\libpng ` -DZLIB_INCLUDE_DIR=..\dlib\external\zlib ` -DZLIB_LIBRARY_RELEASE=..\dlib\external\zlib ` -DCMAKE_INSTALL_PREFIX=install .. cmake --build . --config Release --target INSTALL cd ..Dlib的库文件在build的install下，使用VS时将其加入Include
Build Dlib examples
cd dlib-19.4/examples mkdir build cd build # If you don’t have Anaconda cmake -G "Visual Studio 14 2015 Win64" .. # If you have Anaconda installed on your machine cmake -G "Visual Studio 14 2015 Win64" ` -DJPEG_INCLUDE_DIR=..\..\dlib\external\libjpeg ` -DJPEG_LIBRARY=..\..\dlib\external\libjpeg ` -DPNG_PNG_INCLUDE_DIR=..\..\dlib\external\libpng ` -DPNG_LIBRARY_RELEASE=..\..\dlib\external\libpng ` -DZLIB_INCLUDE_DIR=..\..\dlib\external\zlib ` -DZLIB_LIBRARY_RELEASE=..\..\dlib\external\zlib ` .. cmake --build . --config Release cd ..\..时间巨长，需要耐心等待
//
//如果使用Anaconda/
Install Dlib python module
conda install -c conda-forge dlib=19.4//
python setup.py install在运行示例之前如果在之前的过程中根目录下没(不)有(会)产生shape_predictor_68_face_landmarks.bat文件，可以到这个地址下载
https://osdn.net/projects/sfnet_dclib/downloads/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2/
Test Dlib's C++ example
cd examples\build .\Release\face_landmark_detection_ex.exe ..\..\shape_predictor_68_face_landmarks.dat ..\faces\2008_001009.jpg
Test Dlib's python example
cd dlib-19.4\python_examples python face_landmark_detection.py ..\shape_predictor_68_face_landmarks.dat ..\examples\faces\注意face_landmark_detection.py开头注释：
# The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt # # This example program shows how to find frontal human faces in an image and # estimate their pose. The pose takes the form of 68 landmarks. These are # points on the face such as the corners of the mouth, along the eyebrows, on # the eyes, and so forth. # # This face detector is made using the classic Histogram of Oriented # Gradients (HOG) feature combined with a linear classifier, an image pyramid, # and sliding window detection scheme. The pose estimator was created by # using dlib's implementation of the paper: # One Millisecond Face Alignment with an Ensemble of Regression Trees by # Vahid Kazemi and Josephine Sullivan, CVPR 2014 # and was trained on the iBUG 300-W face landmark dataset. # # Also, note that you can train your own models using dlib's machine learning # tools. See train_shape_predictor.py to see an example. # # You can get the shape_predictor_68_face_landmarks.dat file from: # http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 # # COMPILING/INSTALLING THE DLIB PYTHON INTERFACE # You can install dlib using the command: # pip install dlib # # Alternatively, if you want to compile dlib yourself then go into the dlib # root folder and run: # python setup.py install # or # python setup.py install --yes USE_AVX_INSTRUCTIONS # if you have a CPU that supports AVX instructions, since this makes some # things run faster. # # Compiling dlib should work on any operating system so long as you have # CMake and boost-python installed. On Ubuntu, this can be done easily by # running the command: # sudo apt-get install libboost-python-dev cmake # # Also note that this example requires scikit-image which can be installed # via the command: # pip install scikit-image # Or downloaded from http://scikit-image.org/download.html.
Install OpenCV2.4.13
https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.13/opencv-2.4.13.exe/download
可参考Air Band系列博文：(3)Air Band准备-下载安装
参考链接：
http://blog.csdn.net/sunmc1204953974/article/details/49976045
http://dlib.net/
http://www.learnopencv.com/install-dlib-on-windows/
https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78
https://zhuanlan.zhihu.com/p/24567586
http://dlib.net/faq.html#Whywon'tthePythonbindingscompilework
http://www.codesofinterest.com/2016/10/installing-dlib-on-anaconda-python-on.html
https://stackoverflow.com/questions/17386880/does-anaconda-create-a-separate-pythonpath-variable-for-each-new-environment
https://stackoverflow.com/questions/20081338/how-to-activate-an-anaconda-environment
https://stackoverflow.com/questions/34906338/installing-anaconda-over-existing-python-system
https://conda.io/docs/user-guide/tasks/manage-python.html
http://www.boost.org/doc/libs/master/libs/python/doc/html/building/installing_boost_python_on_your_.html
http://www.boost.org/doc/libs/1_65_0/more/getting_started/windows.html
http://lib.csdn.net/article/python/62432
http://blog.csdn.net/zmdsjtu/article/details/72642521
https://askubuntu.com/questions/824834/how-to-install-dlib-for-python3-in-ubuntu-14-04
https://github.com/davisking/dlib/issues/218
http://blog.csdn.net/zhunianguo/article/details/53155890
https://stackoverflow.com/questions/30760889/unknown-compiler-version-while-compiling-boost-with-msvc-14-0-vs-2015
http://wiki.xglabc.com/Python dlib安装
http://www.jianshu.com/p/4d90a5a92d16
http://scikit-image.org/docs/dev/install.html
https://osdn.net/projects/sfnet_dclib/downloads/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2/
