Dlib提取Hog特征

效果如图…

关键点：

1.设置cell大小

2.其他的看代码

3.Dlib配置见： 地址

代码：

#include <dlib/gui_widgets.h>#include <dlib/image_io.h>#include <dlib/image_transforms.h>using namespace std;using namespace dlib;//  ----------------------------------------------------------------------------int main(){try{array2d<rgb_pixel> img;//只能是BMP，如果想要JPG之类的，需要编译Dlib让其支持…load_image(img,"C:\\Users\\zhumingde\\Pictures\\timg.bmp");//400*362//单个hog特征是31维的…array2d<matrix<float, 31, 1> > hog;extract_fhog_features(img, hog,16);//默认为8//左右上下留白么233//如果不整除，进1…//也就是说如果cell为100,,,最终的hog为2*2//提取出的hog特征维度为  (cols/cell-2)*(rows/cell-2)cout << "hog image has " << hog.nr() << " rows and " << hog.nc() << " columns." << endl;//看看Hog特征image_window win(img);image_window winhog(draw_fhog(hog));//点击原图可以找出对应的hog特征// Another thing you might want to do is map between the pixels in img and the// cells in the hog image.  dlib provides the image_to_fhog() and fhog_to_image()// routines for this.  Their use is demonstrated in the following loop which// responds to the user clicking on pixels in the image img.point p;  // A 2D point, used to represent pixel locations.while (win.get_next_double_click(p)){point hp = image_to_fhog(p);cout << "The point " << p << " in the input image corresponds to " << hp << " in hog space." << endl;cout << "FHOG features at this point: " << trans(hog[hp.y()][hp.x()]) << endl;}//另一种格式…dlib::array<array2d<float> > planar_hog;extract_fhog_features(img, planar_hog);system("pause");}catch (exception& e){cout << "exception thrown: " << e.what() << endl;system("pause");}}//  ----------------------------------------------------------------------------