我使用 Dlib 训练了两个面部检测器。因此,我尝试使用(两个)面部检测器来增加检测面。
object_detector1.svm
object_detector2.svm
但是,我不明白,如何使用它。请有人帮助我。
我看到this堆栈溢出问题,并试图使用它,但是我收到了错误。
我的努力:
#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;
}
typedef scan_fhog_pyramid<pyramid_down<6> > image_scanner_type;
image_scanner_type scanner;
object_detector<image_scanner_type> face_detector(2);
dlib::deserialize(detectors[0], "object_detector1.svm");
deserialize(face_detector[0],"object_detector2.svm");
deserialize(face_detector[1],"face_detector1.svm");
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]);
pyramid_up(img);
std::vector<rectangle> dets = face_detector(img);
cout << "Number of faces detected: " << dets.size() << endl;
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;
}
}
先谢谢。
答案 0 :(得分:1)
您可以将以下代码用于多个分类器。
object_detector<image_scanner_type> face_detector, face_detector2;
deserialize("object_detector1.svm")>>face_detector;
deserialize("object_detector2.svm")>>face_detector2;
std::vector<object_detector<image_scanner_type> > my_detectors;
my_detectors.push_back(face_detector);
my_detectors.push_back(face_detector2);
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]);
pyramid_up(img);
std::vector<rectangle> dets = evaluate_detectors(my_detectors, img);
cout << "Number of faces detected: " << dets.size() << endl;
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();
}