Dlib人臉識別，Qt編譯（實際上是mingw）

聽說Dlib這玩意有人臉識別，覺得好高大上。

然後想拿例子來玩玩，發現運行的時候悲劇了，提示說不支持jpeg。

開始查找原因，發現是沒有定義宏DLIB_JPEG_SUPPORT（png一樣）

需要在工程項目追加QMAKE_CXXFLAGS +=  -DDLIB_JPEG_SUPPORT（本質是makefile加宏）

編譯的時候悲催了！！！

報各種jpeg*函數 undefined reference to。一開始的想法是追加libjpeg.lib靜態庫，發現需要VS2010.

但電腦沒裝，這玩意太大了。後來想下載dll或者編譯好的lib。最後各種折騰，都不成功。

其實是我逗逼了，人家Dlib已經提供了jpeg的源碼，加上去就可以了。。。

目錄在E:\Dlib\dlib-19.4\dlib\external\libjpeg（png一樣）。

把這個目錄加上去就可以了（原諒我偷懶）

代碼的話，用人家的例子

E:\Dlib\dlib-19.4\examples\face_detection_ex.cpp

#include <dlib/image_processing/frontal_face_detector.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
    {
        if (argc == 1)
        {
            cout << "Give some image files as arguments to this program." << endl;
            return 0;
        }

        frontal_face_detector detector = get_frontal_face_detector();
        image_window win;

        // Loop over all the images provided on the command line.
        for (int i = 1; i < argc; ++i)
        {
            cout << "processing image " << argv[i] << endl;
            array2d<unsigned char> img;
            load_image(img, argv[i]);
            // Make the image bigger by a factor of two.  This is useful since
            // the face detector looks for faces that are about 80 by 80 pixels
            // or larger.  Therefore, if you want to find faces that are smaller
            // than that then you need to upsample the image as we do here by
            // calling pyramid_up().  So this will allow it to detect faces that
            // are at least 40 by 40 pixels in size.  We could call pyramid_up()
            // again to find even smaller faces, but note that every time we
            // upsample the image we make the detector run slower since it must
            // process a larger image.
            pyramid_up(img);

            // Now tell the face detector to give us a list of bounding boxes
            // around all the faces it can find in the image.
            std::vector<rectangle> dets = detector(img);

            cout << "Number of faces detected: " << dets.size() << endl;
            // Now we show the image on the screen and the face detections as
            // red overlay boxes.
            win.clear_overlay();
            win.set_image(img);
            win.add_overlay(dets, rgb_pixel(255,0,0));

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

在生成的二進制目錄下運行*.exe  *.jpg

我的是

D:\Qt\project\build-face_recognition-Desktop_Qt_5_5_0_MinGW_32bit-Debug\debug>fa
ce_recognition.exe E:\Dlib\dlib-19.4\examples\faces\2007_007763.jpg

運行結果如下：

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