如何使用DLIB libarary加载jpeg文件？ [英] how to load jpeg file using DLIB libarary?
问题描述
尝试运行从
问题的基础可能从这里开始，我不知道
6.使用正确的配置构建jpeg.sln（我用它构建了很多次不同的配置，最近我使用
这是我尝试构建和运行的源代码
// #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>
//
使用命名空间dlib;
using namespace std;
// ---------------------------------------- ------------------------------------------------
int main（int argc，char ** argv）
{
try
{
//此示例接受形状模型文件然后列表图像到
//进程。我们将这些文件名作为命令行参数。
// Dlib附带examples / faces文件夹中的示例图像，所以给
//这些作为该程序的参数。
if（argc == 1）
{
cout<< 像这样调用这个程序：<< ENDL;
cout<< ./face_landmark_detection_ex shape_predictor_68_face_landmarks.dat faces / * .jpg<< ENDL;
cout<< \ n你可以从：\ n获取shape_predictor_68_face_landmarks.dat文件;
cout<< http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2<< ENDL;
返回0;
}
//我们需要一个面部检测器。我们将使用它来获得
//图像中每个面的边界框。
frontal_face_detector detector = get_frontal_face_detector（）;
//我们还需要一个shape_predictor。这是一个工具，可以在给定图像和面部边界框的情况下预测面部
//地标位置。这里我们只是
//从shape_predictor_68_face_landmarks.dat文件加载模型，你给
//作为命令行参数。
shape_predictor sp;
反序列化（argv [1]）>> sp;
image_window win，win_faces;
//遍历命令行上提供的所有图像。
for（int i = 2; i< argc; ++ i）
{
cout<< 处理图像<< argv [i]<< ENDL;
array2d< rgb_pixel> IMG;
load_image（img，argv [i]）;
//使图像变大，以便检测小脸。
pyramid_up（img）;
//现在告诉面部检测器给我们一个边界框列表
//围绕图像中的所有面。
std :: vector< rectangle> dets = detector（img）;
cout<< 检测到的面部数量：<< dets.size（）<< ENDL;
//现在我们将要求shape_predictor告诉我们
//我们检测到的每张脸的姿势。
std :: vector< full_object_detection>形状;
for（unsigned long j = 0; j< dets.size（）; ++ j）
{
full_object_detection shape = sp（img，dets [j]）;
cout<< 部件数量：<< shape.num_parts（）<< ENDL;
cout<< 第一部分的像素位置：<< shape.part（0）<< ENDL;
cout<< 第二部分的像素位置：<< shape.part（1）<< ENDL;
//你明白了，如果
//你想要它们，你可以获得所有面部位置。在这里，我们只是将它们存储在形状中，这样我们就可以将它们放在屏幕上。
shapes.push_back（shape）;
}
//现在让我们在屏幕上查看我们的脸部姿势。
win.clear_overlay（）;
win.set_image（img）;
win.add_overlay（render_face_detections（shapes））;
//我们还可以提取每个裁剪的面部副本，直接旋转，
//并缩放到标准尺寸，如下所示：
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<< 按Enter键处理下一张图像...<< ENDL;
cin.get（）;
}
}
catch（例外& e）
{
cout<< \ @ception抛出！ << ENDL;
cout<< e.what（）<< ENDL;
}
}
// --------- -------------------------------------------------- -----------------------------
我可以选择其他替代方案我花了太多时间到达这里，我想知道如何解决这个问题并在使用DLIB时加载jpeg文件
我还阅读了这些链接：
- 包含source.cpp
- 将dlib / external / libjpeg中的文件添加到项目中
- 在预处理器中定义
- 您无需使用任何其他库。
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
- 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:
http://www.dahlsys.com/misc/compiling_ijg_libjpeg/index.html
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.
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