Question

我试图在openFrameworks中使用dlib库的深层神经网络部分。到目前为止，我已经能够自己构建dlib示例而没有任何问题。我已经使用openFrameworks一段时间了，并且知道它构建没有任何问题。

每当我尝试集成这两个时，我在Visual Studio 2015中遇到了编译问题：

dlib::add_loss_layer<dlib::loss_mmod_,dlib::add_layer<dlib::con_<1,9,9,1,1,4,4,SUBNET,void>>::add_loss_layer(T &&...)': could not deduce template argument for '<unnamed-symbol&gt';

＆＃34; dnn_mmod_face_detection_ex.cpp＆＃34;中给出的示例构建神经网络如下：

#include <iostream>
#include <dlib/dnn.h>
#include <dlib/data_io.h>
#include <dlib/image_processing.h>
#include <dlib/gui_widgets.h>


using namespace std;
using namespace dlib;

template <long num_filters, typename SUBNET> using con5d = con<num_filters,5,5,2,2,SUBNET>;
template <long num_filters, typename SUBNET> using con5  = con<num_filters,5,5,1,1,SUBNET>;

template <typename SUBNET> using downsampler  = relu<affine<con5d<32, relu<affine<con5d<32, relu<affine<con5d<16,SUBNET>>>>>>>>>;
template <typename SUBNET> using rcon5  = relu<affine<con5<45,SUBNET>>>;

using net_type = loss_mmod<con<1,9,9,1,1,rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;

int main(int argc, char** argv) try
{
    if (argc == 1)
    {
        cout << "Call this program like this:" << endl;
        cout << "./dnn_mmod_face_detection_ex mmod_human_face_detector.dat faces/*.jpg" << endl;
        cout << "\nYou can get the mmod_human_face_detector.dat file from:\n";
        cout << "http://dlib.net/files/mmod_human_face_detector.dat.bz2" << endl;
        return 0;
    }


    net_type net;
}
catch(std::exception& e)
{
    cout << e.what() << endl;
}

openFrameworks example中共享的示例与以下内容相同：

#include "ofMain.h"
#include <dlib/dnn.h>
#include <dlib/data_io.h>
#include <dlib/image_processing.h>
using namespace dlib;

template <long num_filters, typename SUBNET> using con5d = con<num_filters, 5, 5, 2, 2, SUBNET>;
template <long num_filters, typename SUBNET> using con5 = con<num_filters, 5, 5, 1, 1, SUBNET>;

template <typename SUBNET> using downsampler = relu<affine<con5d<32, relu<affine<con5d<32, relu<affine<con5d<16, SUBNET>>>>>>>>>;
template <typename SUBNET> using rcon5 = relu<affine<con5<45, SUBNET>>>;

using net_type = loss_mmod<con<1, 9, 9, 1, 1, rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;

class ofApp : public ofBaseApp
{
public:
    void setup() override;
    void draw() override;

    net_type net;
};

第一个代码块在VS2015中编译得很好，但第二个代码会抛出我上面提到的错误。我已经能够将其缩小到这样一个事实：编译器在实例化＆＃34; net_type net＆＃34;时出现了问题，但是无法找出原因。

Answer 1

不确定dlib的具体内部，但它看起来像编译器生成的默认移动构造函数（以及可能的移动赋值运算符）有问题;第一个代码块仅实例化net_type对象，它不会将其包装在类中。

尝试删除ofApp类的move-constructor，看看是否有帮助：

class ofApp : public ofBaseApp
{
public:
    ofApp() = default;
    ~ofApp() = default;

    ofApp(ofApp&&) = delete;
    ofApp& operator=(ofApp&&) = delete;

    void setup() override;
    void draw() override;

    net_type net;
};

dlib使用VS2015中的openFrameworks进行模板化

1 个答案: