A. 194 landmark points

1. 1st data

gopi jayaraman uploaded the shape predictor .dat file for 194 facelandmarks (helen dataset)

shape_predictor_194_face_landmarks.dat 파일 있는 주소.

You can download from here:

https://www.dropbox.com/sh/t5h024w0xkedq0j/AABS3GprqIvb_PwqeHOn2dxNa?dl=0

you can use it with dlib.

you can check the above address in following address

아래 주소에 어떤 사람이 올려놨음.

https://stackoverflow.com/questions/36711905/dlib-train-shape-predictor-ex-cpp?rq=1

2. 2nd data

spHelen194.dat 파일 있는 주소.

You can download from here:

https://wisimage.blogspot.fr/2018/05/dlib-shape-predictor-models.html

3. 3rd data

helen-dataset.dat 파일 있는 주소.

You can download from here:

https://qiita.com/kekeho/items/0b2d4ed5192a4c90a0ac 

https://drive.google.com/open?id=1qMAc4xqnwejje8sK3kqgwrgUgJYFFkbH

B. 81 landmark points 

shape_predictor_81_face_landmarks.dat

https://github.com/codeniko/shape_predictor_81_face_landmarks

facelandmarks, dlib, face feature points

위 링크의 제일 마지막의 조언처럼 C:\WINDOWS\system32에다가 dll파일들을 복사하니 된다. 이때, visual studio 2015(v14)를 이용하더라도 v12의 dll을 복사하니 되었다.

--------------------------------------------------------------------

I want compile an opencv Console C++ program in Visual Studio 2013. This is my code: #include "stdafx.h" #include "opencv2/highgui/highgui.hpp" #include <iostream> using namespace cv; using namespace std; int main(int argc, const char** argv) { Mat img = imread("rgb_1.png", CV_LOAD_IMAGE_UNCHANGED); //read the image data in the file "MyPic.JPG" and store it in 'img' if (img.empty()) //check whether the image is loaded or not { cout << "Error : Image cannot be loaded..!!" << endl; //system("pause"); //wait for a key press return -1; } namedWindow("MyWindow", CV_WINDOW_AUTOSIZE); //create a window with the name "MyWindow" imshow("MyWindow", img); //display the image which is stored in the 'img' in the "MyWindow" window waitKey(0); //wait infinite time for a keypress destroyWindow("MyWindow"); //destroy the window with the name, "MyWindow" return 0; } Although I have defined all the directories in properties both in Computer and Visual Studio directories, I get "The program can't start because opencv_world300.dll is missing from your computer."error. How can I fix this problem? Thanks c++ opencv visual-studio-2013 shareimprove this question asked Jul 29 '15 at 21:04 yusuf 592215

1   If you have the dll in question, the easiest thing to do is copy and paste it into your projects executable output folder – James Pack Jul 29 '15 at 21:08 I've noticed this dll is not placed with other dlls. You need to find out the folder in whichopencv_world300.dll is located. That's all. – CroCo Jul 29 '15 at 23:38 add a comment

3 Answers

activeoldestvotes

up vote3down vote	Under windows you can copy it from: <your install directory>\opencv30\build\x64\vc12\bin And put it in your Visual Studio solution (I assume you are using a x64/Release configuration): <your solution directory>\x64\Release Or you you can add the above OpenCV to your PATH environment variable shareimprove this answer answered Jul 30 '15 at 10:56 RevJohn 39918
	It works and this is great, but I can't figure out why it worked flawlessy before <an unknown action of mine> without the present hack. – Patrizio Bertoni Dec 2 '15 at 14:36 add a comment

up vote2down vote

If this question is still relevant, I figured out the way. I presume you used the tutorial on the OpenCV website to setup OpenCV. Once you run the command prompt and execute the command, it creates the environment variable for OpenCVbut it does not add it in the path. So if you go to the path and add the location of the bin in vc12 (vc14 for me), save it, and restart visual studio, it works. shareimprove this answer edited May 15 at 16:23 tinlyx 6,549153370 answered May 15 at 16:05 Abhiroop Tandon 217

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up vote1down vote

You can check your system variable to confirm the directory in which opencv_world300.dll is located (maybe C:\opencv\build\x64\vc12\bin) is present. If it exists but the problem still is not solved, try to put all .dll files in the directory to C:\WINDOWS\system32

http://stackoverflow.com/questions/7970988/print-out-the-values-of-a-mat-matrix-in-opencv-c

I want to dump the values of a matrix in OpenCV to the console using cout. I quickly learned that I do not understand OpenvCV's type system nor C++ templates well enough to accomplish this simple task.

Would a reader please post (or point me to) a little function or code snippet that prints a Mat?

Regards, Aaron

PS: Code that uses the newer C++ Mat interface as opposed to the older CvMat interface is preferential.

--------------------------------------

See the first answer to Accesing a matrix element in the "Mat" object (not the CvMat object) in OpenCV C++
Then just loop over all the elements in cout << M.at<double>(0,0); rather than just 0,0

Or better still with the new C++ interface (thanks to SSteve)

cv::Mat M;

cout << "M = "<< endl << " "  << M << endl << endl;

------------------------------

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

#include <iostream>
#include <iomanip>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
    double data[4] = {-0.0000000077898273846583732, -0.03749374753019832, -0.0374787251930463, -0.000000000077893623846343843};
    Mat src = Mat(1, 4, CV_64F, &data);
    for(int i=0; i<4; i++)
        cout << setprecision(3) << src.at<double>(0,i) << endl;

    return 0;
}

-------------------------------

my example.

img is dlib image variable. img22 is opencv image variable.

cv::Mat img22 = dlib::toMat(img);
 for(int i=0; i<250; i++)
 {
  for(int j=0; j<250; j++)
  {
   mexPrintf("%d ",img22.at<unsigned char>(i,j));
  }
  mexPrintf("\n");
 }

How can I convert a dlib::array2d to gray Image? The gray Image should be array2d or not? I never see a good dlib documentation.

----------------------------------------------

dlib::array2d is an image already, you can use it for any dlib's image functions

load image:

dlib::array2d<dlib::rgb_pixel> img_rgb;
dlib::load_image(img_rgb, "test_image.jpg");

convert to greyscale:

dlib::array2d<unsigned char> img_gray;
dlib::assign_image(img_gray, img_rgb);

converto to OpenCV Image (cv::Mat):

#include <dlib/opencv.h>
#include <opencv2/opencv.hpp>
cv::Mat img = dlib::toMat(img_gray);

get image from OpenCV:

#include <dlib/opencv.h>
#include <opencv2/opencv.hpp>
cv::Mat img = cv::imread("test_image.jpg")
dlib::cv_image<rgb_pixel> dlib_img(img); // only stores pointer, no deep copy

Documentation is here. There are a lot of well-documented examples, you should start from them. Special example about array2d

http://stackoverflow.com/questions/36908402/dlib-training-shape-predictor-for-194-landmarks-helen-dataset

DLIB : Training Shape_predictor for 194 landmarks (helen dataset)

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 landmarks

68 landmark image:

Why?

-----------------------------------------------------

Ok, looks like you haven't read the code comments (?):

shape_predictor_trainer trainer;
// This algorithm has a bunch of parameters you can mess with.  The
// documentation for the shape_predictor_trainer explains all of them.
// You should also read Kazemi's paper which explains all the parameters
// in great detail.  However, here I'm just setting three of them
// differently than their default values.  I'm doing this because we
// have a very small dataset.  In particular, setting the oversampling
// to a high amount (300) effectively boosts the training set size, so
// that helps this example.
trainer.set_oversampling_amount(300);
// I'm also reducing the capacity of the model by explicitly increasing
// the regularization (making nu smaller) and by using trees with
// smaller depths.  
trainer.set_nu(0.05);
trainer.set_tree_depth(2);

Have a look at the Kazemi paper, ctrl-f the string 'parameter' and have a read...

ms-dos 창에서 boost가 있는 폴더로 간다. 그런 후 아래와 같은 명령어를 차례로 입력한다.

-------------------

bootstrap
.\b2
-------------------

(http://www.boost.org/doc/libs/1_61_0/more/getting_started/windows.html#zip)를 참조.

어떤사람은 아래와 같이 명령어를 입력했다고 한다

"I built it from the MS visual studio command prompt by first executing the bootstrap command from inside the directory where boost is located and then using the bjam command. –"

(http://stackoverflow.com/questions/19303430/cmake-cannot-find-boost-libraries)

https://forum.qt.io/topic/69007/compile-dlib-on-windows

I try to use dlib in Qt project on Windows. After downloading I did this in the dlib root:

cd examples
mkdir build
cd build
cmake .. -G"Visual Studio 14 2015 Win64" 
cmake --build . --config Release

And this(again in dlib root):

mkdir build
cd build
cmake .. -G"Visual Studio 14 2015 Win64" -DCMAKE_INSTALL_PREFIX=D:\dlib_build
cmake --build . --config Release --target install

My .pro file:

QT += core
QT -= gui

CONFIG += c++11

TARGET = dlibWin2
CONFIG += console
CONFIG -= app_bundle

TEMPLATE = app

SOURCES += main.cpp

INCLUDEPATH += "D:\dlib_build\include"
LIBS += -L"D:\dlib_build\lib" -ldlib
QMAKE_CXXFLAGS_RELEASE += /arch:AVX
QMAKE_CXXFLAGS += -DDLIB_JPEG_SUPPORT

main.cpp:

#include <QCoreApplication>
#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing/render_face_detections.h>
#include <dlib/image_processing.h>
#include <dlib/gui_widgets.h>
#include <dlib/image_io.h>
#include <iostream>


using namespace dlib;
using namespace std;
int main(int argc, char *argv[])
{
    QCoreApplication a(argc, argv);


    try
    {
        frontal_face_detector detector = get_frontal_face_detector();
    }
    catch (exception& e)
    {
        cout << "\nexception thrown!" << endl;
        cout << e.what() << endl;
    }
    return a.exec();
}

Compilation output for MSVC2015 64bit Release:

D:\dlib_build\include\dlib\config.h:19: Warning: C4005: DLIB_JPEG_SUPPORT

Runtime output for MSVC2015 64bit Release:

The program has unexpectedly finished... Exited with code -1073741795

Please note that I did this after Windows reinstalling, and before this I got absolutely the same issue.

How can I solve this or how can I use dlib in Qt on Windows?

CMake Error at /usr/share/cmake-2.8/Modules/FindBoost.cmake:1131 (message):
 Unable to find the requested Boost libraries.

 Unable to find the Boost header files.  Please set BOOST_ROOT to the root
 directory containing Boost or BOOST_INCLUDEDIR to the directory containing
 Boost's headers.
Call Stack (most recent call first):
   CMakeLists.txt:147 (find_package)


CMake Error at /usr/share/cmake-2.8/Modules/FindBoost.cmake:1131 (message):
Unable to find the requested Boost libraries.

Unable to find the Boost header files.  Please set BOOST_ROOT to the root
directory containing Boost or BOOST_INCLUDEDIR to the directory containing
Boost's headers.

BOOST_ROOT="/usr/local/src/boost_1_45_0"
Boost_LIBRARY_DIRS="/usr/local/lib"
BOOST_INCLUDEDIR="/usr/local/src/boost_1_45_0"

cmake -DCMAKE_TOOLCHAIN_FILE=$ANDTOOLCHAIN -DBOOST_ROOT=/usr/local/src/boost_1_45_0 -DBOOST_INCLUDEDIR=/usr/local/include/boost -DBOOST_LIBRARYDIR=/usr/local/lib -DPYTHON_LIBRARIES=/usr/local/lib/python2.7 -DPYTHON_INCLUDE_DIRS=/usr/include/python2.7 -DCMA-DRDK_BUILD_PYTHON_WRAPPERS=

---------------------------------------------------------

-----------------------------------------------

Try to complete cmake process with following libs:

sudo apt-get install cmake libblkid-dev e2fslibs-dev libboost-all-dev libaudit-dev

-----------------------------------------------------

I'm using this to set up boost from cmake in my CMakeLists.txt. Try something similar (make sure to update paths to your installation of boost). SET (BOOST_ROOT "/opt/boost/boost_1_57_0") SET (BOOST_INCLUDEDIR "/opt/boost/boost-1.57.0/include") SET (BOOST_LIBRARYDIR "/opt/boost/boost-1.57.0/lib") SET (BOOST_MIN_VERSION "1.55.0") set (Boost_NO_BOOST_CMAKE ON) FIND_PACKAGE(Boost ${BOOST_MIN_VERSION} REQUIRED) if (NOT Boost_FOUND) message(FATAL_ERROR "Fatal error: Boost (version >= 1.55) required.") else() message(STATUS "Setting up BOOST") message(STATUS " Includes - ${Boost_INCLUDE_DIRS}") message(STATUS " Library - ${Boost_LIBRARY_DIRS}") include_directories(${Boost_INCLUDE_DIRS}) link_directories(${Boost_LIBRARY_DIRS}) endif (NOT Boost_FOUND) This will either search default paths (/usr, /usr/local) or the path provided through the cmake variables (BOOST_ROOT, BOOST_INCLUDEDIR, BOOST_LIBRARYDIR). It works for me on cmake > 2.6. shareimprove this answer answered Oct 27 '15 at 23:07 paul-g 1,899624

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up vote0down vote

seems the answer is in the comments and as an edit but to clarify this should work for you: export BUILDDIR='your path to build directory here' export SRCDIR='your path to source dir here' export BOOST_ROOT="/opt/boost/boost_1_57_0" export BOOST_INCLUDE="/opt/boost/boost-1.57.0/include" export BOOST_LIBDIR="/opt/boost/boost-1.57.0/lib" export BOOST_OPTS="-DBOOST_ROOT=${BOOST_ROOT} -DBOOST_INCLUDEDIR=${BOOST_INCLUDE} -DBOOST_LIBRARYDIR=${BOOST_LIBDIR}" (cd ${BUILDDIR} && cmake ${BOOST_OPTS} ${SRCDIR}) you need to specify the arguments as command line arguments or you can use a toolchain file for that, but cmake will not touch your environment variables. shareimprove this answer answered Jan 28 at 21:51 Alex 9,53563453

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I saw at least 3 questions with the same title as this question. Each of them had a different answer that worked for the OP but not for me, so I am sorry to repeat the question...

I am trying to install CGAL. They describe their installation process as ever-so-simple here, section 6.1. When I run cmake-gui and then click configure, I get the following output

CMake Error at D:/program files/CMake 2.8/share/cmake-2.8/Modules/FindBoost.cmake:1192 (message):
  Unable to find the requested Boost libraries.

  Boost version: 1.51.0

  Boost include path: D:/program files/boost_1_51

  The following Boost libraries could not be found:

          boost_thread
          boost_system

  No Boost libraries were found.  You may need to set BOOST_LIBRARYDIR to the
  directory containing Boost libraries or BOOST_ROOT to the location of
  Boost.
Call Stack (most recent call first):
  cmake/modules/CGAL_SetupBoost.cmake:6 (find_package)
  cmake/modules/CGAL_SetupDependencies.cmake:85 (include)
  CMakeLists.txt:590 (include)

But I DID set up BOOST_ROOT, in cmake's gui, to D:/program files/boost_1_51, which exists. And the two libraries it mentions are definitely installed. What is happening here? What do I need to do?

EDIT: Attached is the output when running cmake -DBoost_DEBUG=ON

D:\program files\CGAL-4.1>cmake -DBoost_DEBUG=ON
== Setting paths ==
-- Build CGAL from release in directory CGAL-4.1
-- Packagenames: CGAL-4.1
== Setting paths (DONE) ==

== Generate version files ==
-- CGAL_MAJOR_VERSION=4
-- CGAL_MINOR_VERSION=1
-- CGAL_BUGFIX_VERSION=0
-- CGAL_SONAME_VERSION=10
-- CGAL_SOVERSION     =10.0.0
-- CGAL_REFERENCE_CACHE_DIR=
-- Building shared libraries
-- Targetting Visual Studio 10 Win64
-- Target build enviroment supports auto-linking
-- Using VC10 compiler.
-- Generator uses intermediate configuration directory: $(Configuration)
-- USING CMake version: 2.8.10
-- System: Windows
== Generate version files (DONE) ==

== Set up flags ==
-- Build type: Release
-- USING CXXFLAGS = ' /DWIN32 /D_WINDOWS /W3 /Zm1000 /GR /EHsc -D_CRT_SECURE_NO_
DEPRECATE -D_SCL_SECURE_NO_DEPRECATE -D_CRT_SECURE_NO_WARNINGS -D_SCL_SECURE_NO_
WARNINGS /fp:strict /fp:except- /MD /O2 /Ob2 /D NDEBUG'
-- USING LDFLAGS = ' /STACK:10000000 /machine:x64  /INCREMENTAL:NO'
== Set up flags (DONE) ==

== Detect external libraries ==
-- External libraries supported: GMP;MPFR;ZLIB;OpenGL;LEDA;MPFI;RS;RS3;OpenNL;TA
UCS;Eigen3;BLAS;LAPACK;QGLViewer;ESBTL;Coin3D;NTL;IPE
-- Preconfiguring library: GMP ...
-- GMP has been preconfigured:
--   CGAL_UseGMP-file:
--   GMP include:      D:/program files/CGAL-4.1/auxiliary/gmp/include
--   GMP libraries:    D:/program files/CGAL-4.1/auxiliary/gmp/lib/libgmp-10.lib

--   GMP definitions:
-- USING GMP_VERSION = '5.0.1'
-- Preconfiguring library: MPFR ...
-- MPFR has been preconfigured:
--   CGAL_UseMPFR-file:

---------------------------------

Your output shows that CMake is searching for the libraries in the following places: D:/program files/boost_1_51/bin/lib D:/program files/boost_1_51/bin/stage/lib D:/program files/boost_1_51/lib D:/program files/boost_1_51/../lib D:/program files/boost_1_51/stage/lib C:/boost/lib C:/boost C:\Program Files (x86)/boost/boost_1_51_0/lib C:\Program Files (x86)/boost/boost_1_51/lib C:\Program Files (x86)/boost/lib C:\Program Files (x86)/boost /sw/local/lib It also shows that it's expecting the libraries to be named in a certain way. For example, the release version of Boost.Thread: boost_thread-vc100-mt-1_51 boost_thread-vc100-mt boost_thread-mt-1_51 boost_thread-mt boost_thread If your boost libraries do exist in one of the searched locations, then it's probably the name of the library that's the problem. You can adjust the expected name of the boost libs by setting the appropriate CMake variables relevant to the FindBoost module For example, if you built boost using bjam with link=static threading=multi then in your CMakeLists.txt before find_package(Boost ...) you'll want to do set(Boost_USE_STATIC_LIBS ON) set(Boost_USE_MULTITHREADED ON) or invoke cmake with -DBoost_USE_STATIC_LIBS=ON -DBoost_USE_MULTITHREADED=ON Edit As @noam has pointed out in the comments below, in this particular case, it appears that CGAL requires the shared (dll) versions of the boost libs; passing -DBoost_USE_STATIC_LIBS=ON on the command line has no effect. shareimprove this answer edited Nov 8 '12 at 15:30 answered Nov 8 '12 at 1:58 Fraser 35.4k697122

I am using a university computer which already has boost on it. How can I know how did they compile boost (I really have no one to ask :) ) – olamundo Nov 8 '12 at 3:22 @noam It can usually be deduced from the libraries' names. What is the full name and path of say the debug and release versions of Boost.Thread there? – Fraser Nov 8 '12 at 3:36 I hope I understand you correctly: libboost_thread-vc100-mt-gd-1_51.lib and libboost_thread-vc100-mt-1_51.lib – olamundo Nov 8 '12 at 3:40 @noam OK - the libraries are static (you can tell because they begin with "lib" - see Boost's getting started guide) so you need Boost_USE_STATIC_LIBS set to ON. In your output above, you can see that you currently have this value set to OFF. Once you do that, assuming the libs are actually in one of the search paths listed in my answer, it should all work. – Fraser Nov 8 '12 at 3:52 Nope, it doesn't work. The libs are in D:\program files\boost_1_51\lib, but it still outputs the same error, when running cmake -DBoost_USE_STATIC_LIBS=ON. (Thank you for your patience, by the way) – olamundo Nov 8 '12 at 4:10 show 5 more comments

up vote7down vote	I had this error but have progressed. I was using the cmake-gui, then I ticked the checkbox "Advanced" (between checkbox "Grouped" and button "Add Entry"), then I ticked the newly seen checkbox "CGAL_Boost_USE_STATIC_LIBS". You may need to press "Configure" an extra time or two before the extra options are revealed. shareimprove this answer answered Feb 19 '13 at 21:54 dentad 38036
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up vote2down vote	Today I tried installing CGAL with Boost 1.57 x64 on Windows and encountered the same problem. I installed boost via pre-build binaries and the .lib files that CMake searches for are in the lib64-msvc-12.0 folder. Therefore adding BOOST_LIBRARYDIR=.../boost_1_57_0/lib64-msvc-12.0 to CMake options was the solution for me. shareimprove this answer answered Nov 30 '14 at 21:39 tomi.lee.jones 946818
	Thanks, same here with boost 1.60 x64 binary install on Windows 7 and CGAL 1.47. I addedBOOST_LIBRARYDIR=C:\boost\lib64-msvc-14.0 in my case. – Paul Jurczak Jan 3 at 7:06  add a comment

up vote1down vote

CGAL use the shared boost libraries. So, the libraries like "libboost_thread-vc100-mt-p-1_49.lib" is a statically linked library. It's because cmake(I used v2.8.9) can not read the name of boost libraries correctly. When I changed the library names boost_thread-vc100-mt-p-1_49.dll and boost_thread-vc100-mt-p-1_49.lib to boost_thread-vc100-mt-1_49.dll and boost_thread-vc100-mt-1_49, respectively, it fixed the problem. shareimprove this answer edited Feb 27 '13 at 7:52 Tuxdude 16.4k65872 answered Feb 27 '13 at 7:29 aluhao 191

1   For reference: Do NOT do this. The naming reflects how boost was compiled. So you need to set the correct options for the Find module or you will end up with problems of any kind (using debug versions for release, multi-threaded for single-threaded etc) – Flamefire Jan 11 at 9:54

http://kaylab.tistory.com/1

http_kaylab.tistory.com_1.pdf

위 사이트를 따라하니 오류없이 되었다.

단 main.cpp를 다음과 같이 씀.

#include <opencv2/core/mat.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>

using namespace cv;
using namespace std;

int main()
{
 return 0;
}

또는

#include <opencv2/highgui.hpp>

using namespace cv;

int main()
{
 IplImage* image;
 image = cvLoadImage("Tulips.jpg", 1);

 cvNamedWindow("W_Tulips", 1);
 cvShowImage("W_Tulips", image);

 cvWaitKey(0);
 cvDestroyWindow("W_Tulips");
 return 0;
}

-------------------------

환경: OpenCV 3.1, Visual Studio 2015, 2013

※ OpenCV 는 c:\Opencv_3.1 에 설치되어 있는걸로 가정합니다.

1. 프로젝트에서 마우스 우클릭 -> 속성

2. 구성에서 32bit, x86 관련 설정을 지워야 합니다. 플랫폼 콤보 박스를 선택합니다.

※ OpenCV 3.1 은 32bit dll 이 없습니다. 소스를 가지고 직접 컴파일 하면 가능하다고 알고있는데, 확실하진 않습니다.

3. 편집 메뉴 클릭

4. x86을 선택하고 제거 버튼을 클릭합니다.

5. [활성 솔루션 플랫폼] 콤보박스 아래 [플랫폼] 콤보박스를 클릭하여 [편집] 메뉴를 클릭합니다.

6. Win32 를 선택 후 제거 버튼을 클릭합니다.

7. 닫기 버튼을 클릭하여 구성관리자를 닫습니다.

7.5. [구성] 콤보 박스를 [모든 구성] 으로 변경합니다.

     Debug 로 둔 채로 수정하면 Release 로 변경 후 한번 더 설정해야 합니다.

8. 왼쪽 구성 트리에서 [C/C++] 노드를 선택하고 디렉터리 콤보박스의 편집 메뉴를 클릭합니다.

9. 줄 추가 버튼을 클릭 한 후 새로 생긴 줄(2번) 의 오른쪽 끝 ... 버튼을 클릭합니다.

10. C:\opencv_3.1\build\include 경로를 찾아가 폴더선택 버튼을 클릭합니다.

11. 계속해서 하위 디렉터리인 C:\opencv_3.1\build\include\opencv 와 C:\opencv_3.1\build\include\opencv2 경로를 추가합니다.

12. 왼쪽 트리 메뉴에서 링커 노드를 선택 후 추가 라이브러리 디렉터리 콤보박스에서 편집 메뉴를 클릭합니다.

13. C:\opencv_3.1\build\x64\vc14\lib 경로를 찾아가 폴더 선택 버튼을 클릭합니다.

※ Visual Studio 2013 일 경우 C:\opencv_3.1\build\x64\vc12\lib 경로를 선택합니다.

14. 구성 콤보박스를 Debug 로 변경합니다.

15. 지금까지 설정한 내용을 저장하겠냐고 물어봅니다. 예(Y) 버튼을 클릭합니다.

16. 왼쪽 트리 메뉴에서 입력 노드를 선택 후 추가 종속성 콤보박스를 클릭 후 편집 메뉴를 클릭합니다.

17. opencv_world310d.lib 를 클릭 후 확인 버튼을 클릭합니다. (디버그에 경우에는 이름 마지막에 d가 붙은 lib 를 참조합니다.)

18. 구성 콤보 박스를 Release 로 변경합니다. 위와 같이 저장 하겠냐는 메세지가 나오면 예(Y) 버튼을 클릭합니다.

19. opencv_world310.lib (이번엔 이름 마지막에 d가 없습니다.) 을 입력하고 확인 버튼을 클릭합니다.

20. stdafx.h 헤더에 다음과 같은 구문을 추가합니다.

#include "opencv2\opencv.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

using namespace cv;
using namespace std;

정상적으로 컴파일이 된다면 구성 완료입니다

http://zacurr.tistory.com/553

http_zacurr.tistory.com_553.pdf

위 사이트에 나와있는대로 opencv를 cmake로 빌드할때, opencv_contrib도 다운받아서 같이 빌드했다.

아래사이트에도 나옴. 

https://github.com/opencv/opencv_contrib/blob/master/README.md

1. start cmake-gui

2. select the opencv source code folder and the folder where binaries will be built (the 2 upper forms of the interface)

3. press the configure button. you will see all the opencv build parameters in the central interface

4. browse the parameters and look for the form called OPENCV_EXTRA_MODULES_PATH (use the search form to focus rapidly on it)

5. complete this OPENCV_EXTRA_MODULES_PATH by the proper pathname to the <opencv_contrib>/modules value using its browse button.

6. press the configure button followed by the generate button (the first time, you will be asked which makefile style to use)

7. build the opencv core with the method you chose (make and make install if you chose Unix makfile at step 6)

8. to run, linker flags to contrib modules will need to be added to use them in your code/IDE. For example to use the aruco module, "-lopencv_aruco" flag will be added.

요약

0. Visual Studio Express 2015버전을 설치한다. face detection 또는 facelandmarks detection 이용하려면 opencv도 설치해야한다. (matlab으로 lbp뽑으려면 vlfeat도 설치해야. vlfeat도 업데이트되어 20180328현재 다시 새버전으로 설치. vlfeat를 쓰려면 mex파일로 만들어야하는데, 이 때 윈도우용 mex컴파일러가 필요하다. mex컴파일러 설치방법은 https://www.mathworks.com/matlabcentral/answers/233850-how-can-i-install-sdk-7-1-on-windows-10 참조)

1. dlib 파일 (예:dlib-19.10)과 cmake 파일 (예:cmake-3.7.0-rc1-win32-x86)을 다운받아 압축을 푼다.

2. 윈도우 커맨드창을 열고 dlib-19.10\examples 경로로 이동한 후 bulid폴더를 만든다.

[D:\Research\dlib\dlib-19.10\examples>mkdir build]

3. build폴더로 이동한다. [D:\Research\dlib\dlib-19.10\examples>cd build]

4. 아래와 같이 [cmake.exe의절대경로 -G "비주얼스튜디오버전" ..]를 입력한다. 가장 뒤에 ' ..'를 꼭 써줘야한다.

[D:\Research\dlib\cmake-3.7.0-rc1-win32-x86\bin\cmake.exe -G "Visual Studio 14 2015 Win64" ..]

5. cmake로 컴파일한다. 시간이 5분정도? 걸린다.

[D:\Research\dlib\dlib-19.10\examples\build>D:\Research\dlib\cmake-3.7.0-rc1-win32-x86\bin\cmake.exe --build . --config Release]

컴파일이 끝나고 가장 끝에 '경고 3개, 오류 0개'라고 뜨면 성공한 것이다.

아래 예제캡춰에서 4번식 가장 뒤에 ' ..'를 꼭 써줘야한다.

Windows / Visual Studio 환경에 dlib의 도입 방법

Method of introducing dlib to the Windows / Visual Studio environment

https://www.mathworks.com/matlabcentral/answers/95039-why-does-the-sdk-7-1-installation-fail-with-an-installation-failed-message-on-my-windows-system

I am working with MATLAB 7.14 (R2012a) 64-bit. I need to setup a compiler configuration for MATLAB on my system.

When I try to execute the following MATLAB command:

mex -setup

I receive the following error:

 No supported SDK or compiler was found on this computer. 

 For a list of supported compilers, see  

 <http://www.mathworks.com/support/compilers/R2012a/win64.html>

If I try to install Microsoft Windows SDK 7.1, a supported compiler for MATLAB 7.14 (R2012a), on my system, the installation fails with the following error message:

-----------------------------------------------------------------------------------

This is an issue with Microsoft Windows SDK 7.1. It may occur under two scenarios:

1. If you have Microsoft Visual C++ 2010 SP1 (Express or Professional) installed.

2. If you have Microsoft Visual C++ 2010 redistributable packages (x64 or x86) installed.

The details on the issue from Microsoft are below:

http://support.microsoft.com/kb/2717426

http://support.microsoft.com/kb/2519277

To avoid this issue:

1. Uninstall the Microsoft Visual C++ 2010 redistributable packages (both x86 as well as x64) from “Control Panel” > “Programs and Features”. If you have trouble uninstalling them, see related solution 1-NBI41W at the bottom.

2. Install the Windows SDK 7.1. During installation, under the "Installation Options" menu, UNCHECK the "Visual C++ Compilers" and "Microsoft Visual C++ 2010" components.

3. Apply the SDK 7.1 patch from below:

http://www.microsoft.com/en-us/download/details.aspx?displaylang=en&id=4422

4. Reinstall the Microsoft Visual C++ 2010 redistributable packages.

x64:

http://www.microsoft.com/en-us/download/details.aspx?id=14632

x86:

http://www.microsoft.com/en-us/download/details.aspx?id=5555

http://wishmesh.com/2011/04/fatal-error-c1083-cannot-open-include-file-ammintrin-h-no-such-file-or-directory/

fatal error C1083: Cannot open include file: ‘ammintrin.h’: No such file or directory

I can not compile my C++ projects after installing ‘Security Update for Microsoft Visual Studio 2010 (KB2455033)’, see my yesterday’s post: Security Update for Microsoft Visual Studio 2010 (KB2455033) failed with Code 643.

Visual Studio 2010 shows the following error:
1>------ Build started: Project: some_project_name_i_am_hiding, Configuration: Debug Win32 ------
1> stdafx.cpp
1>c:\program files (x86)\microsoft visual studio 10.0\vc\include\intrin.h(26): fatal error C1083: Cannot open include file: 'ammintrin.h': No such file or directory
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========


Error is caused because file intrin.h have reference to ammintrin.h, and after this update there is no such file. Relevant fragment from intrin.h:
#if defined(_M_IX86) || defined(_M_X64)
#include <immintrin.h>
#include <ammintrin.h>


Searching Google for the answer I found only one link in Russian. Russian developer says, he have reinstalled Visual Studio. Tried to search MS Connect again, and found: Windows Update KB2455033 breaks build with missing ammintrin.h.

The workaround is to install Visual Studio 2010 SP1. Download it form Microsoft Website: Microsoft Visual Studio 2010 Service Pack 1 (Installer).

Installing service pack 1 takes some time while I am writing this blog post… 30 minutes… And Building / compiling after SP1 is successful. So installing Microsoft Visual Studio 2010 Service Pack 1 fixes this issue.

Screenshots from the process below.

http://stackoverflow.com/questions/32736149/how-to-load-jpeg-file-using-dlib-libarary

After attempting to run a example program downloaded from Here, I understand for working with jpeg files , I must add #define DLIB_JPEG_SUPPORT directive to the project. but before that It's necessary to download jpeg library and add it to the project. I did These steps:

1.Download jpegsr9a.zip from here and unzipped it.

2.Download WIN32.mak and paste it into the jpeg root folder

3.Open Developer Command Prompt from visual studio 2013 tools

4.In command prompt type : nmake -f makefile.vc setup-v10

5.After these steps jpeg.sln created ,the note is when I open jpeg.sln in VS2013 the message come:

maybe base of the problem start from here , I don't know

6.Build the jpeg.sln with the proper configuration (I built it many times with different configurations, recently I built it using this .) at the end of building the error came :"unable to start jpeg.lib" but in release folder or debug folder (depend on configuration) jpeg.lib was created

7. open main project which is using DLIB for detecting face,I added jpeg root folder to Additonal Include Directory and jepegroot/release to Additional Libarary Directories ,then change the UseLibrary dependencies to "yes" and I also added jpeg.lib to the dependecies.

during building the project errors come:

This is the source which I trying to build and run

//#define HAVE_BOOLEAN
#define DLIB_JPEG_SUPPORT
#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing/render_face_detections.h>
#include <dlib/image_processing.h>
#include<dlib/image_transforms.h>
#include <dlib/gui_widgets.h>
#include <dlib/image_io.h>
#include <iostream>
//
using namespace dlib;
using namespace std;

// ----------------------------------------------------------------------------------------

int main(int argc, char** argv)
{
    try
    {
        // This example takes in a shape model file and then a list of images to
        // process.  We will take these filenames in as command line arguments.
        // Dlib comes with example images in the examples/faces folder so give
        // those as arguments to this program.
        if (argc == 1)
        {
            cout << "Call this program like this:" << endl;
            cout << "./face_landmark_detection_ex shape_predictor_68_face_landmarks.dat faces/*.jpg" << endl;
            cout << "\nYou can get the shape_predictor_68_face_landmarks.dat file from:\n";
            cout << "http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2" << endl;
            return 0;
        }

        // We need a face detector.  We will use this to get bounding boxes for
        // each face in an image.
        frontal_face_detector detector = get_frontal_face_detector();
        // And we also need a shape_predictor.  This is the tool that will predict face
        // landmark positions given an image and face bounding box.  Here we are just
        // loading the model from the shape_predictor_68_face_landmarks.dat file you gave
        // as a command line argument.
        shape_predictor sp;
         deserialize(argv[1])>>sp;


        image_window win, win_faces;
        // Loop over all the images provided on the command line.
        for (int i = 2; i < argc; ++i)
        {
            cout << "processing image " << argv[i] << endl;
            array2d<rgb_pixel> img;
            load_image(img, argv[i]);
            // Make the image larger so we can detect small faces.
            pyramid_up(img);

            // Now tell the face detector to give us a list of bounding boxes
            // around all the faces in the image.
            std::vector<rectangle> dets = detector(img);
            cout << "Number of faces detected: " << dets.size() << endl;

            // Now we will go ask the shape_predictor to tell us the pose of
            // each face we detected.
            std::vector<full_object_detection> shapes;
            for (unsigned long j = 0; j < dets.size(); ++j)
            {
                full_object_detection shape = sp(img, dets[j]);
                cout << "number of parts: " << shape.num_parts() << endl;
                cout << "pixel position of first part:  " << shape.part(0) << endl;
                cout << "pixel position of second part: " << shape.part(1) << endl;
                // You get the idea, you can get all the face part locations if
                // you want them.  Here we just store them in shapes so we can
                // put them on the screen.
                shapes.push_back(shape);
            }

            // Now let's view our face poses on the screen.
            win.clear_overlay();
            win.set_image(img);
            win.add_overlay(render_face_detections(shapes));

            // We can also extract copies of each face that are cropped, rotated upright,
            // and scaled to a standard size as shown here:
            dlib::array<array2d<rgb_pixel> > face_chips;
            extract_image_chips(img, get_face_chip_details(shapes), face_chips);
            win_faces.set_image(tile_images(face_chips));

            cout << "Hit enter to process the next image..." << endl;
            cin.get();
        }
    }
    catch (exception& e)
    {
        cout << "\nexception thrown!" << endl;
        cout << e.what() << endl;
    }
}

// ----------------------------------------------------------------------------------------

I can choose other alternatives but I spend too much time to reach here , I want to know How I can solve this problem and load jpeg file when using DLIB

I also read these links:

Compiling libjpeg

http://www.dahlsys.com/misc/compiling_ijg_libjpeg/index.html

dlib load jpeg files

http://sourceforge.net/p/dclib/discussion/442518/thread/8a0d42dc/

=======================================================================================

I solved my problem by below instruction, please follow it.

- Add include directory in VC++

- Include source.cpp

- Add add files in dlib/external/libjpeg to project

- Define in Preprocessor

-- You don't need to use any additional library.

http://blog.naver.com/publicstation/220764835853

http://gyeongju.tistory.com/entry/DLIB-C-Library

DLib 라이브러리 사용법

1. http://dlib.net/ 홈페이지 접속하여 라이브러리 다운로드

2. CMake 다운로드 https://cmake.org/download/ 

   Binary distributions: cmake-3.6.0-rc1-win64-x64.zip / cmake-3.6.0-rc1-win32-x86.zip

   컴퓨터 사양에 맞게 다운로드

   나의 경우 64비트 운영체제 이지만, 라이브러리 사용하는데 64, 32 둘다 필요한 경우가 있기 때문에

   둘다 다운받음

3. 현재 라이르러리 버전 "dlib-18.18"

   - zip 압축을 풀고, 빌드를 위해 폴더를 생성해 준다.

   - 나의 경우, dlib-18.18 → build       // 32비트

                   dlib-18.18 → build_64   // 64비트

   - CMake에서 다운받은 파일 압축풀고..

   - 64, 32 버전 둘다 bin 폴더에 들어가면 cmake-gui.exe 파일 있음 실행 고고

   - 윈도우 32비트 버전부터 고고

   - source code 에 내 dlib-18.18 폴더에 보면 examples 폴더가 있다. 선택해준다.

   - binaries : 3번에서 만들어준 빌드 폴더 선택한다. 지금 32비트버전이니 헷갈리지 않게 알아서 잘...

   - Configure 버튼을 한번 눌러준다.

   - 위 창이 뜬다. 현재 사용하고 있는 Visual studio 버전을 선택한다.

     그리고, visual studio 환경, 즉 32비트 개발환경인지 64비트 개발환경인지에 따라서 잘 선택해주면 된다.

     (목록에 64비트는 따로 있다.)

   - 나는 Visual studio 2010, 32비트니까 Visual Studio 10 2010 선택

   - 그다음 Finish 버튼 클릭

   - 아래와 같거나 비슷한 화면이 나온다.

   - 빨간색 부분에 필요한 부분이나 옵션 추가 선택한다.

   - Dlib 라이브러리를 사용한다면, 대부분 OpenCV 라이브러리는 사용하고 있는 분들이 많을 것 같다.

   - 없다면 OpenCV 다운로드!! http://gyeongju.tistory.com/entry/Visual-Studio-2010-OpenCV-243-설치

   - OpenCV_DIR 에 사용하고 있는 OpenCV 경로 선택해준다.

   * 체크박스 확인

   - DLIB_JPEG_SUPPORT

   - DLIB_PNG_SUPPORT

   - USE_AVX_INSTRUCTIONS

   - USE_SSE2_INSTRUCTIONS

   - USE_SSE4_INSTRUCTIONS

위에 USE_XXX_INSTRUCTIONS 는 실행속도와 관련있는 것으로 보이는데, (대충 봐서 기억안남)

라이브러리 중에서 위 세개 다 지원해야 돌아가는 함수도 있다. 그래서 난 다 선택해줌

   - 그리고  "Configure" 두번 클릭!! (빨간색 안나오면 된다)

   - 그 다음 "Generate" 클릭!!

     아래 창에 "Generating done" 뜨면 끝

     여기까지 CMake의 역할은 끝남.

  - C:\dlib-18.18\build 아까 내가 생성해준 build 폴더에 들어가면 뭐가 잔뜩 생성되어 있다.

  - C:\dlib-18.18\build\dlib_build 폴더에 들어가면 dlib.sln 파일이 있다. 클릭해서 비주얼스튜디오 열자

  - 빌드하자! Visual Studio → 빌드 → 구성관리자

  - 아래와 같이 세개 다 체크하고 빌드 시작. (시간이 좀 걸린다.)

 "Debug / Release" 둘다 빌드하면 "dlib_build" 폴더 안에 Debug, Release 폴더가 생기고,

    그 안에 보면 dlib.lib 파일이 생성되어 있다.

여기까지, DLib 를 사용하기 위해 Cmake를 이용한 컴파일 끝!!

64비트 버전은 62비트 CMake를 실행하여 진행하면 된다.

(선택해야 하는 부분이 있으면 64버전으로 다 선택하면 되고, 과정은 똑같다.)

그 다음은 실제 라이브러리를 사용하기 위한 연동방법에 대해 정리해야 겠다.