dlib

I am trying to train the shape predictor of Dlib by executing train_dlib_shape_predictor_ex.cpp on helen dataset as described in the code, I place test images in a face folder in current directory of shape predictor. But when I run the code it throws following exception: C:\train_shape_predictor_ex\Release>train_shape_predictor_ex test exception thrown! ERROR: unable to open test/training_with_face_landmarks.xml for reading. as no training_with_face_landmarks.xml and testing_with_face_landmarks.xml files are available in helen dataset on the following page : link There is a folder named

I am training DLIB 's shape_predictor for 194 face landmarks using helen dataset which is used to detect face landmarks through face_landmark_detection_ex.cpp of dlib library. Now it gave me an sp.dat binary file of around 45 MB which is less compared to file given ( http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2 ) for 68 face landmarks. In training Mean training error : 0.0203811 Mean testing error : 0.0204511 and when I used trained data to get face landmarks position, IN result I got.. which are very deviated from the result got from 68

安装dlib库遇到了好多的坑，因为想要用dlib库实现68点的人脸标定，然后发现dlib库怎么也安装不上。 因为在anaconda的environment里找dlib库发现没有，网上尝试了很多方法，cmake+boost，下载whl文件安装都失败 最后通过pycharm安装成功 不过应该是基于了特定的环境才能安装成功，首先是python 3.5 ，然后在pycharm的interpreter settings中的Project interpreter里添加dlib库，选择dlib 18.17.100安装，尝试python 3.7加一些版本，3.5加dlib的新的版本都安装失败。 算是分享一些经验给安装不成功的同学们，我也不算安装成功，dlib的新版本真的安不上，将就用一下旧版本 来源： https://blog.csdn.net/qq_28200939/article/details/100980622

I follow the steps according to http://npatta01.github.io/2015/08/10/dlib/ but when I try to run (I use sudo), python python_examples/face_detector.py examples/faces/2007_007763.jpg take back error. Firstly, the error was AttributeError: 'module' object has no attribute 'image_window' to line 8. Now, the error is Illegal instruction (core dumped) but I don't know why. Please, help me to add the library correctly. import sys import dlib from skimage import io detector = dlib.get_frontal_face_detector() win = dlib.image_window() for f in sys.argv[1:]: print("Processing file: {}".format(f)) img =

I'm trying to build DLIB for an iOS project. Running the cmake results in a libdlib.a and a load of .o files. When I add the library to an Xcode project I get warning that the library hasn't been built for arm64 . My question is two-part: How can I build DLIB for iOS (I tried cmake **path_to_source** -DCMAKE_OSX_ARCHITECTURE="arm64" but it caused loads of errors e.g. unknown type name '__uint32_t'; did you mean '__uint128_t' )? What is the purpose of all the .o files that get built when you run cmake? Do I need to include them in an Xcode project? I finally figured out how to do this:

Face_Recognition更适合于Linux系统，性能方面Windows系统下只能发挥Linux系统的四分之一。 Windows系统下安装： 　　 方法1：anaconda3.5以前的版本含3.5 　　　　安装visual studio2014： 　　　　　　安装C/C++ 编译器，VS主要用于之后boost库的编译。 　　　　安装boost： 　　　　　　下载地址：https://sourceforge.net/projects/boost/files/boost-binaries/ 我下载的是boost_1_67_0-msvc-14.1-64.exe 直接安装就行。 　　　　　　如果下载的zip那就需要先解压，打开vs命令，更改文件夹到boost的解压路径，输入 bootstrap.bat 在文件夹里生成b2.exe，再输入 b2，让boost库里的东西自动编译 　　　　安装cmake： 　　　　　　官方下载地址：https://cmake.org/ 我下载的是cmake-3.13.1-win64-x64.msi，直接双击安装。将其路径加入PATH环境变量 　　　　安装dlib： 　　　　　　下载地址：https://pypi.org/simple/dlib/ 我下载的是dlib-19.7.0-cp36-cp36m-win_amd64.whl